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实例学习spotlight/1.py Normal file
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import datasets
from renumics import spotlight
# 加载名为'renumics/emodb-enriched'的数据集，如同武林高手寻找传说中的秘籍
ds = datasets.load_dataset('renumics/emodb-enriched', split='all')
# 定义一个布局，专门用于调试性别分类问题，如同制定一套针对对手的战斗策略
layout = spotlight.layouts.debug_classification(label='gender', prediction='m1_gender_prediction', embedding='m1_embedding', features=['age', 'emotion'])
# 使用spotlight展示数据和布局，如同武林高手展示其绝世武功
spotlight.show(ds, layout=layout)

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import datasets
# 加载cifar100-enriched数据集的测试集，如同阅读一本心法
ds = datasets.load_dataset("cifar100-enriched", split="test")
# 将数据集转换为Pandas DataFrame，就像将零散的招式编纂成连招
df = ds.to_pandas()
import pandas as pd
import numpy as np
from cleanlab import Datalab
# 使用Datalab寻找数据中的问题，如同武林高手寻找对手的破绽
lab = Datalab(data=df, label_name="fine_label")
# 将DataFrame中的"embedding"列转换为numpy数组，如同将散落的招式秘籍编纂成连贯的招式
features = np.array([x.tolist() for x in df["embedding"]])
# 将DataFrame中的"probabilities"列也转换为numpy数组，如同收集各路信息，为出招做准备
pred_probs = np.array([x.tolist() for x in df["probabilities"]])
# 调用find_issues方法寻找数据问题，如同武林侠客挑战江湖隐秘，揭示真相
lab.find_issues(features=features, pred_probs=pred_probs)
# 将原始数据框与发现的问题合并，如同将新发现的武林秘籍融入已有的知识体系中
df = pd.concat([df, lab.get_issues()], axis=1)
from renumics.spotlight.analysis import DataIssue
# 寻找标签问题的行，如同武林中的侠客追踪敌人的踪迹
label_issue_rows = df[df["is_label_issue"]].sort_values("label_score").index.tolist()
# 记录标签问题，如同将侦查到的情报记录在案
label_issue = DataIssue(
severity="medium",
title="label-issue",
rows=label_issue_rows,
description="Label issue found by Cleanlab - Review and correct if necessary",
)
# 寻找异常值问题的行，如同寻找隐藏在暗处的敌人
outlier_issue_row = (
df[df["outlier_score"] < 0.6].sort_values("outlier_score").index.tolist()
)
# 记录异常值问题，如同标记出潜藏的危险
outlier_issue = DataIssue(
severity="medium",
title="outlier-issue",
rows=outlier_issue_row,
description="Outlier score < 0.6 - Review and remove or collect more data",
)
# 寻找几乎重复问题的行，如同寻找武林中几乎看不出差别的影子剑客
near_duplicate_issue_row = (
df[df["is_near_duplicate_issue"]].sort_values("near_duplicate_score").index.tolist()
)
# 记录几乎重复的问题，如同揭露伪装的敌人
near_duplicate_issue = DataIssue(
severity="medium",
title="near-duplicate-issue",
rows=near_duplicate_issue_row,
description="Near duplicate issue found by Cleanlab - Review and remove if necessary",
)
from renumics import spotlight
# 定义数据类型，如同为武林中的各种武器赋予名号
dtypes = {
"image": spotlight.Image, # 图像数据，如同武林中的画卷，记录着形象
"full_image": spotlight.Image, # 完整图像数据，如同详尽的地图，展现全貌
"embedding": spotlight.Embedding, # 嵌入数据，如同内力深厚的武功秘籍
"embedding_reduced": spotlight.Embedding, # 简化的嵌入数据，精简而不失精髓
"probabilities": spotlight.Embedding, # 概率数据，如同预测敌人下一步的先天能力
}
# 展示数据及其问题，如同武林大会上展示武功，亮出绝技
spotlight.show(
df.rename(columns={"fine_label_str": "label", "fine_label_prediction_str": "pred"}), # 重命名列，如同为武功起名，更易理解
dtype=dtypes, # 指定数据类型，如同明确每位武林人士的门派和武功
layout="https://spotlight.renumics.com/resources/layout_data_issues.json", # 使用布局文件，如同选择武林大会的比武场地
issues=[label_issue, outlier_issue, near_duplicate_issue], # 展示发现的问题，如同揭示对手的破绽
)

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https://mp.weixin.qq.com/s/J4XrAD_akKlxTaIISqHt_A

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实力学习PandasGUI/1.py Normal file
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# import pandas as pd
# from pandasgui import show
# df = pd.DataFrame({'a':[1,2,3], 'b':[4,5,6], 'c':[7,8,9]})
# show(df)
# import pandas as pd
# import plotly.express as px
# from pandasgui import show
# df = pd.DataFrame({'a':[1,2,3], 'b':[4,5,6], 'c':[7,8,9]})
# fig = px.scatter_3d(data_frame=df, x='b', y='a', z='c', color=None, )
# show(fig)
from pandasgui import show
from pandasgui.datasets import pokemon, titanic, all_datasets
show(pokemon, titanic)
show(**all_datasets)

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实力学习PandasGUI/dataset_files/anscombe.csv Normal file
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dataset,x,y
I,10.0,8.04
I,8.0,6.95
I,13.0,7.58
I,9.0,8.81
I,11.0,8.33
I,14.0,9.96
I,6.0,7.24
I,4.0,4.26
I,12.0,10.84
I,7.0,4.82
I,5.0,5.68
II,10.0,9.14
II,8.0,8.14
II,13.0,8.74
II,9.0,8.77
II,11.0,9.26
II,14.0,8.1
II,6.0,6.13
II,4.0,3.1
II,12.0,9.13
II,7.0,7.26
II,5.0,4.74
III,10.0,7.46
III,8.0,6.77
III,13.0,12.74
III,9.0,7.11
III,11.0,7.81
III,14.0,8.84
III,6.0,6.08
III,4.0,5.39
III,12.0,8.15
III,7.0,6.42
III,5.0,5.73
IV,8.0,6.58
IV,8.0,5.76
IV,8.0,7.71
IV,8.0,8.84
IV,8.0,8.47
IV,8.0,7.04
IV,8.0,5.25
IV,19.0,12.5
IV,8.0,5.56
IV,8.0,7.91
IV,8.0,6.89
1 dataset x y
2 I 10.0 8.04
3 I 8.0 6.95
4 I 13.0 7.58
5 I 9.0 8.81
6 I 11.0 8.33
7 I 14.0 9.96
8 I 6.0 7.24
9 I 4.0 4.26
10 I 12.0 10.84
11 I 7.0 4.82
12 I 5.0 5.68
13 II 10.0 9.14
14 II 8.0 8.14
15 II 13.0 8.74
16 II 9.0 8.77
17 II 11.0 9.26
18 II 14.0 8.1
19 II 6.0 6.13
20 II 4.0 3.1
21 II 12.0 9.13
22 II 7.0 7.26
23 II 5.0 4.74
24 III 10.0 7.46
25 III 8.0 6.77
26 III 13.0 12.74
27 III 9.0 7.11
28 III 11.0 7.81
29 III 14.0 8.84
30 III 6.0 6.08
31 III 4.0 5.39
32 III 12.0 8.15
33 III 7.0 6.42
34 III 5.0 5.73
35 IV 8.0 6.58
36 IV 8.0 5.76
37 IV 8.0 7.71
38 IV 8.0 8.84
39 IV 8.0 8.47
40 IV 8.0 7.04
41 IV 8.0 5.25
42 IV 19.0 12.5
43 IV 8.0 5.56
44 IV 8.0 7.91
45 IV 8.0 6.89

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实力学习PandasGUI/dataset_files/attention.csv Normal file
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subject,attention,solutions,score
1,divided,1,2.0
2,divided,1,3.0
3,divided,1,3.0
4,divided,1,5.0
5,divided,1,4.0
6,divided,1,5.0
7,divided,1,5.0
8,divided,1,5.0
9,divided,1,2.0
10,divided,1,6.0
11,focused,1,6.0
12,focused,1,8.0
13,focused,1,6.0
14,focused,1,8.0
15,focused,1,8.0
16,focused,1,6.0
17,focused,1,7.0
18,focused,1,7.0
19,focused,1,5.0
20,focused,1,6.0
1,divided,2,4.0
2,divided,2,4.0
3,divided,2,5.0
4,divided,2,7.0
5,divided,2,5.0
6,divided,2,5.0
7,divided,2,4.5
8,divided,2,7.0
9,divided,2,3.0
10,divided,2,5.0
11,focused,2,5.0
12,focused,2,9.0
13,focused,2,5.0
14,focused,2,8.0
15,focused,2,8.0
16,focused,2,8.0
17,focused,2,7.0
18,focused,2,8.0
19,focused,2,6.0
20,focused,2,6.0
1,divided,3,7.0
2,divided,3,5.0
3,divided,3,6.0
4,divided,3,5.0
5,divided,3,8.0
6,divided,3,6.0
7,divided,3,6.0
8,divided,3,8.0
9,divided,3,7.0
10,divided,3,6.0
11,focused,3,6.0
12,focused,3,8.0
13,focused,3,9.0
14,focused,3,7.0
15,focused,3,7.0
16,focused,3,7.0
17,focused,3,6.0
18,focused,3,6.0
19,focused,3,6.0
20,focused,3,5.0
1 subject attention solutions score
2 1 divided 1 2.0
3 2 divided 1 3.0
4 3 divided 1 3.0
5 4 divided 1 5.0
6 5 divided 1 4.0
7 6 divided 1 5.0
8 7 divided 1 5.0
9 8 divided 1 5.0
10 9 divided 1 2.0
11 10 divided 1 6.0
12 11 focused 1 6.0
13 12 focused 1 8.0
14 13 focused 1 6.0
15 14 focused 1 8.0
16 15 focused 1 8.0
17 16 focused 1 6.0
18 17 focused 1 7.0
19 18 focused 1 7.0
20 19 focused 1 5.0
21 20 focused 1 6.0
22 1 divided 2 4.0
23 2 divided 2 4.0
24 3 divided 2 5.0
25 4 divided 2 7.0
26 5 divided 2 5.0
27 6 divided 2 5.0
28 7 divided 2 4.5
29 8 divided 2 7.0
30 9 divided 2 3.0
31 10 divided 2 5.0
32 11 focused 2 5.0
33 12 focused 2 9.0
34 13 focused 2 5.0
35 14 focused 2 8.0
36 15 focused 2 8.0
37 16 focused 2 8.0
38 17 focused 2 7.0
39 18 focused 2 8.0
40 19 focused 2 6.0
41 20 focused 2 6.0
42 1 divided 3 7.0
43 2 divided 3 5.0
44 3 divided 3 6.0
45 4 divided 3 5.0
46 5 divided 3 8.0
47 6 divided 3 6.0
48 7 divided 3 6.0
49 8 divided 3 8.0
50 9 divided 3 7.0
51 10 divided 3 6.0
52 11 focused 3 6.0
53 12 focused 3 8.0
54 13 focused 3 9.0
55 14 focused 3 7.0
56 15 focused 3 7.0
57 16 focused 3 7.0
58 17 focused 3 6.0
59 18 focused 3 6.0
60 19 focused 3 6.0
61 20 focused 3 5.0

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实力学习PandasGUI/dataset_files/brain_networks.csv Normal file
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network,1,1.1,2,2.1,3,3.1,4,4.1,5,5.1,6,6.1,6.2,6.3,7,7.1,7.2,7.3,7.4,7.5,8,8.1,8.2,8.3,8.4,8.5,9,9.1,10,10.1,11,11.1,12,12.1,12.2,12.3,12.4,13,13.1,13.2,13.3,13.4,13.5,14,14.1,15,15.1,16,16.1,16.2,16.3,16.4,16.5,16.6,16.7,17,17.1,17.2,17.3,17.4,17.5,17.6
node,1,1,1,1,1,1,1,1,1,1,1,1,2,2,1,1,2,2,3,3,1,1,2,2,3,3,1,1,1,1,1,1,1,1,2,2,3,1,1,2,2,3,4,1,1,1,1,1,1,2,2,3,3,4,4,1,1,2,2,3,3,4
hemi,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,lh,rh,lh,rh,rh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh,rh,lh
,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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@ -0,0 +1,849 @@
align,choice,time,coherence,firing_rate
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dots,T1,440,0.0,47.5705138296
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dots,T1,700,0.0,52.6806817764
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dots,T2,-80,0.0,34.9701072622
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sacc,T2,-400,3.2,41.2375491667
sacc,T2,-400,6.4,40.9429357455
sacc,T2,-400,12.8,38.5119562086
sacc,T2,-380,0.0,43.2876446613
sacc,T2,-380,3.2,42.085900587
sacc,T2,-380,6.4,39.9689553885
sacc,T2,-380,12.8,39.7333761332
sacc,T2,-360,0.0,43.3612315989
sacc,T2,-360,3.2,42.4194708691
sacc,T2,-360,6.4,41.5804848172
sacc,T2,-360,12.8,40.044420197
sacc,T2,-340,0.0,39.8762267679
sacc,T2,-340,3.2,42.0788697858
sacc,T2,-340,6.4,41.9028758554
sacc,T2,-340,12.8,38.3120025573
sacc,T2,-320,0.0,40.4448454043
sacc,T2,-320,3.2,40.1513880957
sacc,T2,-320,6.4,40.4341352507
sacc,T2,-320,12.8,37.7310662817
sacc,T2,-320,25.6,37.0585131882
sacc,T2,-300,0.0,40.887184232
sacc,T2,-300,3.2,38.9407023685
sacc,T2,-300,6.4,41.2580403278
sacc,T2,-300,12.8,38.124344213
sacc,T2,-300,25.6,36.0738072395
sacc,T2,-280,0.0,41.1947056441
sacc,T2,-280,3.2,39.5680329223
sacc,T2,-280,6.4,38.3602705272
sacc,T2,-280,12.8,37.3681995607
sacc,T2,-280,25.6,33.8812336651
sacc,T2,-260,0.0,41.0136327071
sacc,T2,-260,3.2,38.3195658023
sacc,T2,-260,6.4,36.4397887275
sacc,T2,-260,12.8,36.2032193868
sacc,T2,-260,25.6,31.805921065
sacc,T2,-240,0.0,41.8416740624
sacc,T2,-240,3.2,36.0275741717
sacc,T2,-240,6.4,37.6898636484
sacc,T2,-240,12.8,36.5745098348
sacc,T2,-240,25.6,31.6444372473
sacc,T2,-220,0.0,44.2495790872
sacc,T2,-220,3.2,37.0695086704
sacc,T2,-220,6.4,37.956359877
sacc,T2,-220,12.8,37.3919401512
sacc,T2,-220,25.6,31.3636734123
sacc,T2,-200,0.0,42.1919635126
sacc,T2,-200,3.2,38.0726715912
sacc,T2,-200,6.4,37.0371458417
sacc,T2,-200,12.8,36.5375027453
sacc,T2,-200,25.6,31.830531567
sacc,T2,-200,51.2,34.278488404
sacc,T2,-180,0.0,39.9167537004
sacc,T2,-180,3.2,37.9308811524
sacc,T2,-180,6.4,36.3390296669
sacc,T2,-180,12.8,35.0061872356
sacc,T2,-180,25.6,32.4350363538
sacc,T2,-180,51.2,34.4335537627
sacc,T2,-160,0.0,40.8200657039
sacc,T2,-160,3.2,38.2566962825
sacc,T2,-160,6.4,36.7686859329
sacc,T2,-160,12.8,33.0507600504
sacc,T2,-160,25.6,32.3455813934
sacc,T2,-160,51.2,33.426397216
sacc,T2,-140,0.0,41.6360762294
sacc,T2,-140,3.2,36.5123153677
sacc,T2,-140,6.4,37.072901881
sacc,T2,-140,12.8,32.8615628189
sacc,T2,-140,25.6,29.9254467262
sacc,T2,-140,51.2,32.6695852309
sacc,T2,-120,0.0,39.9027077915
sacc,T2,-120,3.2,35.8890690743
sacc,T2,-120,6.4,38.9400053932
sacc,T2,-120,12.8,33.160408053
sacc,T2,-120,25.6,28.7117587722
sacc,T2,-120,51.2,32.3783626069
sacc,T2,-100,0.0,39.8545786265
sacc,T2,-100,3.2,37.6253424388
sacc,T2,-100,6.4,37.2592360274
sacc,T2,-100,12.8,31.7857081144
sacc,T2,-100,25.6,28.5092773179
sacc,T2,-100,51.2,30.3214636813
sacc,T2,-80,0.0,39.0686538561
sacc,T2,-80,3.2,38.3177570093
sacc,T2,-80,6.4,37.1092892429
sacc,T2,-80,12.8,31.6706619895
sacc,T2,-80,25.6,27.1673864252
sacc,T2,-80,51.2,27.5442304251
sacc,T2,-60,0.0,37.8178588842
sacc,T2,-60,3.2,36.0756294232
sacc,T2,-60,6.4,38.4960754833
sacc,T2,-60,12.8,31.2421028491
sacc,T2,-60,25.6,27.0994763722
sacc,T2,-60,51.2,27.8371555374
sacc,T2,-40,0.0,37.8626692456
sacc,T2,-40,3.2,35.2618508867
sacc,T2,-40,6.4,35.2250005049
sacc,T2,-40,12.8,29.1523049649
sacc,T2,-40,25.6,28.0553221978
sacc,T2,-40,51.2,27.4957625592
sacc,T2,-20,0.0,35.8800773694
sacc,T2,-20,3.2,34.9845201238
sacc,T2,-20,6.4,34.2941079289
sacc,T2,-20,12.8,28.8572631065
sacc,T2,-20,25.6,27.6470588235
sacc,T2,-20,51.2,26.7883724699
sacc,T2,0,0.0,34.912959381
sacc,T2,0,3.2,32.5851393189
sacc,T2,0,6.4,32.8856784499
sacc,T2,0,12.8,27.726905303
sacc,T2,0,25.6,25.3431372549
sacc,T2,0,51.2,25.5329457364
sacc,T2,20,0.0,32.9787234043
sacc,T2,20,3.2,31.73374613
sacc,T2,20,6.4,30.7493540052
sacc,T2,20,12.8,25.9958071279
sacc,T2,20,25.6,25.0490196078
sacc,T2,20,51.2,23.8856589147
sacc,T2,40,0.0,32.833655706
sacc,T2,40,3.2,34.6749226006
sacc,T2,40,6.4,31.65374677
sacc,T2,40,12.8,28.7211740042
sacc,T2,40,25.6,28.3333333333
sacc,T2,40,51.2,28.003875969
sacc,T2,60,0.0,30.9477756286
sacc,T2,60,3.2,34.520123839
sacc,T2,60,6.4,30.9431524548
sacc,T2,60,12.8,30.9224318658
sacc,T2,60,25.6,29.1666666667
sacc,T2,60,51.2,29.8449612403
sacc,T2,80,0.0,24.7098646035
sacc,T2,80,3.2,27.0897832817
sacc,T2,80,6.4,27.7777777778
sacc,T2,80,12.8,27.6729559748
sacc,T2,80,25.6,26.2254901961
sacc,T2,80,51.2,27.4709302326
sacc,T2,100,0.0,25.8704061896
sacc,T2,100,3.2,26.7027863777
sacc,T2,100,6.4,27.1963824289
sacc,T2,100,12.8,27.463312369
sacc,T2,100,25.6,28.1862745098
sacc,T2,100,51.2,29.1666666667
sacc,T2,120,0.0,28.3849129594
sacc,T2,120,3.2,30.959752322
sacc,T2,120,6.4,28.2945736434
sacc,T2,120,12.8,29.4549266247
sacc,T2,120,25.6,31.9117647059
sacc,T2,120,51.2,32.2189922481
sacc,T2,140,0.0,27.3694390716
sacc,T2,140,3.2,29.6439628483
sacc,T2,140,6.4,29.0697674419
sacc,T2,140,12.8,30.2410901468
sacc,T2,140,25.6,30.2450980392
sacc,T2,140,51.2,32.4612403101
sacc,T2,160,0.0,27.9013539652
sacc,T2,160,3.2,30.2631578947
sacc,T2,160,6.4,30.6201550388
sacc,T2,160,12.8,30.1362683438
sacc,T2,160,25.6,29.8039215686
sacc,T2,160,51.2,33.1395348837
sacc,T2,180,0.0,29.9323017408
sacc,T2,180,3.2,32.6625386997
sacc,T2,180,6.4,29.6511627907
sacc,T2,180,12.8,28.9832285115
sacc,T2,180,25.6,30.4411764706
sacc,T2,180,51.2,32.9457364341
sacc,T2,200,0.0,29.7388781431
sacc,T2,200,3.2,29.7213622291
sacc,T2,200,6.4,29.0051679587
sacc,T2,200,12.8,28.4067085954
sacc,T2,200,25.6,29.9509803922
sacc,T2,200,51.2,31.2984496124
sacc,T2,220,0.0,27.5628626692
sacc,T2,220,3.2,29.6439628483
sacc,T2,220,6.4,29.0697674419
sacc,T2,220,12.8,27.1488469602
sacc,T2,220,25.6,27.5490196078
sacc,T2,220,51.2,30.1356589147
sacc,T2,240,0.0,28.6750483559
sacc,T2,240,3.2,29.5665634675
sacc,T2,240,6.4,29.8449612403
sacc,T2,240,12.8,26.9916142558
sacc,T2,240,25.6,27.8921568627
sacc,T2,240,51.2,30.2810077519
sacc,T2,260,0.0,28.8201160542
sacc,T2,260,3.2,26.8575851393
sacc,T2,260,6.4,29.9095607235
sacc,T2,260,12.8,28.1446540881
sacc,T2,260,25.6,28.5784313725
sacc,T2,260,51.2,31.1046511628
sacc,T2,280,0.0,28.6750483559
sacc,T2,280,3.2,30.4953560372
sacc,T2,280,6.4,27.5839793282
sacc,T2,280,12.8,28.5115303983
sacc,T2,280,25.6,26.4705882353
sacc,T2,280,51.2,30.8139534884
sacc,T2,300,0.0,28.3849129594
sacc,T2,300,3.2,33.2817337461
sacc,T2,300,6.4,27.5839793282
sacc,T2,300,12.8,28.5115303983
sacc,T2,300,25.6,27.0098039216
sacc,T2,300,51.2,30.9593023256
1 align choice time coherence firing_rate
2 dots T1 -80 0.0 33.1899674031
3 dots T1 -80 3.2 31.6917255152
4 dots T1 -80 6.4 34.2798399644
5 dots T1 -80 12.8 32.6318742985
6 dots T1 -80 25.6 35.0604874577
7 dots T1 -80 51.2 34.9875710227
8 dots T1 -60 0.0 32.8685258964
9 dots T1 -60 3.2 35.119047619
10 dots T1 -60 6.4 34.8410757946
11 dots T1 -60 12.8 35.6481481481
12 dots T1 -60 25.6 33.6105675147
13 dots T1 -60 51.2 34.27734375
14 dots T1 -40 0.0 34.561752988
15 dots T1 -40 3.2 34.8958333333
16 dots T1 -40 6.4 34.9633251834
17 dots T1 -40 12.8 36.4711934156
18 dots T1 -40 25.6 32.5342465753
19 dots T1 -40 51.2 35.009765625
20 dots T1 -20 0.0 35.3585657371
21 dots T1 -20 3.2 31.1011904762
22 dots T1 -20 6.4 35.5134474328
23 dots T1 -20 12.8 34.5164609053
24 dots T1 -20 25.6 34.7847358121
25 dots T1 -20 51.2 36.669921875
26 dots T1 0 0.0 36.2549800797
27 dots T1 0 3.2 32.3660714286
28 dots T1 0 6.4 36.9193154034
29 dots T1 0 12.8 35.6995884774
30 dots T1 0 25.6 35.8610567515
31 dots T1 0 51.2 37.060546875
32 dots T1 20 0.0 38.4960159363
33 dots T1 20 3.2 33.4821428571
34 dots T1 20 6.4 36.1858190709
35 dots T1 20 12.8 36.0082304527
36 dots T1 20 25.6 34.8825831703
37 dots T1 20 51.2 35.888671875
38 dots T1 40 0.0 36.2051792829
39 dots T1 40 3.2 34.375
40 dots T1 40 6.4 36.7970660147
41 dots T1 40 12.8 35.3909465021
42 dots T1 40 25.6 36.9863013699
43 dots T1 40 51.2 36.279296875
44 dots T1 60 0.0 34.7609561753
45 dots T1 60 3.2 34.6726190476
46 dots T1 60 6.4 38.2029339853
47 dots T1 60 12.8 35.6481481481
48 dots T1 60 25.6 38.0136986301
49 dots T1 60 51.2 37.79296875
50 dots T1 80 0.0 36.5537848606
51 dots T1 80 3.2 32.3660714286
52 dots T1 80 6.4 35.5745721271
53 dots T1 80 12.8 33.7448559671
54 dots T1 80 25.6 35.5675146771
55 dots T1 80 51.2 37.353515625
56 dots T1 100 0.0 33.515936255
57 dots T1 100 3.2 31.5476190476
58 dots T1 100 6.4 33.0073349633
59 dots T1 100 12.8 32.2666032773
60 dots T1 100 25.6 32.28962818
61 dots T1 100 51.2 35.25390625
62 dots T1 120 0.0 31.6733067729
63 dots T1 120 3.2 30.8779761905
64 dots T1 120 6.4 31.9682151589
65 dots T1 120 12.8 32.7986405205
66 dots T1 120 25.6 29.6966731898
67 dots T1 120 51.2 33.349609375
68 dots T1 140 0.0 32.1215139442
69 dots T1 140 3.2 30.0970758473
70 dots T1 140 6.4 31.173594132
71 dots T1 140 12.8 31.1927760396
72 dots T1 140 25.6 29.3052837573
73 dots T1 140 51.2 31.3593367034
74 dots T1 160 0.0 34.4621513944
75 dots T1 160 3.2 33.0191183554
76 dots T1 160 6.4 33.6797066015
77 dots T1 160 12.8 31.9922938189
78 dots T1 160 25.6 33.0684130789
79 dots T1 160 51.2 31.4144049073
80 dots T1 180 0.0 37.5857760456
81 dots T1 180 3.2 39.206226297
82 dots T1 180 6.4 38.4799298148
83 dots T1 180 12.8 38.2790725256
84 dots T1 180 25.6 38.0283572714
85 dots T1 180 51.2 35.2981969562
86 dots T1 200 0.0 41.3876308811
87 dots T1 200 3.2 43.0009045681
88 dots T1 200 6.4 42.8315775134
89 dots T1 200 12.8 44.1881669593
90 dots T1 200 25.6 43.2053130261
91 dots T1 200 51.2 44.0021276055
92 dots T1 220 0.0 45.2145741795
93 dots T1 220 3.2 44.0531572195
94 dots T1 220 6.4 44.5503067614
95 dots T1 220 12.8 46.0072153238
96 dots T1 220 25.6 46.6656178604
97 dots T1 220 51.2 49.4455590075
98 dots T1 240 0.0 44.426667193
99 dots T1 240 3.2 45.5579976408
100 dots T1 240 6.4 45.3353150482
101 dots T1 240 12.8 45.2545114631
102 dots T1 240 25.6 48.057998072
103 dots T1 240 51.2 52.8138549965
104 dots T1 260 0.0 43.5176761377
105 dots T1 260 3.2 46.4806723604
106 dots T1 260 6.4 45.975678826
107 dots T1 260 12.8 45.978011874
108 dots T1 260 25.6 51.49830443
109 dots T1 260 51.2 56.0062634769
110 dots T1 280 0.0 45.183845031
111 dots T1 280 3.2 46.7680543787
112 dots T1 280 6.4 47.6079465912
113 dots T1 280 12.8 49.4179484906
114 dots T1 280 25.6 53.4063507726
115 dots T1 280 51.2 56.5709270698
116 dots T1 300 0.0 44.5806310958
117 dots T1 300 3.2 47.7403311288
118 dots T1 300 6.4 47.9453145595
119 dots T1 300 12.8 50.884901111
120 dots T1 300 25.6 53.9921770122
121 dots T1 320 0.0 42.1883499648
122 dots T1 320 3.2 46.1091773662
123 dots T1 320 6.4 46.9297722083
124 dots T1 320 12.8 50.5475711692
125 dots T1 320 25.6 54.2706099715
126 dots T1 340 0.0 41.7881832087
127 dots T1 340 3.2 45.6333595786
128 dots T1 340 6.4 47.6741978356
129 dots T1 340 12.8 49.8453330566
130 dots T1 340 25.6 55.4833048133
131 dots T1 360 0.0 43.8889398626
132 dots T1 360 3.2 47.8811790178
133 dots T1 360 6.4 50.4307958419
134 dots T1 360 12.8 50.5637453923
135 dots T1 360 25.6 57.6132002761
136 dots T1 380 0.0 46.7939865745
137 dots T1 380 3.2 46.0362955566
138 dots T1 380 6.4 50.2350060629
139 dots T1 380 12.8 51.839563305
140 dots T1 380 25.6 57.9308464384
141 dots T1 400 0.0 45.4823942827
142 dots T1 400 3.2 45.3563633893
143 dots T1 400 6.4 48.816525836
144 dots T1 400 12.8 52.3134685064
145 dots T1 400 25.6 58.2719153733
146 dots T1 420 0.0 45.2294029647
147 dots T1 420 3.2 47.370806321
148 dots T1 420 6.4 51.0426760675
149 dots T1 420 12.8 54.3442280151
150 dots T1 420 25.6 58.7792250482
151 dots T1 440 0.0 47.5705138296
152 dots T1 440 3.2 47.8962913334
153 dots T1 440 6.4 52.8451380575
154 dots T1 440 12.8 56.5905120229
155 dots T1 460 0.0 47.9965125796
156 dots T1 460 3.2 49.7589895528
157 dots T1 460 6.4 54.6071568221
158 dots T1 460 12.8 57.6417931949
159 dots T1 480 0.0 47.4221784572
160 dots T1 480 3.2 50.2088029789
161 dots T1 480 6.4 56.3631120383
162 dots T1 480 12.8 57.336239303
163 dots T1 500 0.0 48.4253715445
164 dots T1 500 3.2 49.8924509929
165 dots T1 500 6.4 56.3159583107
166 dots T1 500 12.8 57.8834341936
167 dots T1 520 0.0 49.8483600507
168 dots T1 520 3.2 49.395357585
169 dots T1 520 6.4 55.6257450533
170 dots T1 520 12.8 56.7031475447
171 dots T1 540 0.0 51.4958439254
172 dots T1 540 3.2 48.066627973
173 dots T1 540 6.4 52.6625406001
174 dots T1 540 12.8 56.5965566665
175 dots T1 560 0.0 53.8839724539
176 dots T1 560 3.2 48.6514774419
177 dots T1 560 6.4 51.2677935943
178 dots T1 560 12.8 57.4458518599
179 dots T1 580 0.0 53.0430826028
180 dots T1 580 3.2 50.928916973
181 dots T1 580 6.4 55.3879064133
182 dots T1 600 0.0 52.1063146794
183 dots T1 600 3.2 50.4609948656
184 dots T1 600 6.4 58.3763412771
185 dots T1 620 0.0 51.9722589882
186 dots T1 620 3.2 49.6072463942
187 dots T1 620 6.4 58.4313296726
188 dots T1 640 0.0 51.4946850007
189 dots T1 640 3.2 53.7183234006
190 dots T1 660 0.0 51.3666266822
191 dots T1 660 3.2 56.9613202683
192 dots T1 680 0.0 52.6740476122
193 dots T1 680 3.2 57.0799478842
194 dots T1 700 0.0 52.6806817764
195 dots T1 720 0.0 51.299586053
196 dots T2 -80 0.0 34.9701072622
197 dots T2 -80 3.2 36.7858148044
198 dots T2 -80 6.4 34.4785059901
199 dots T2 -80 12.8 34.9914236707
200 dots T2 -80 25.6 32.2415329768
201 dots T2 -80 51.2 32.6330162086
202 dots T2 -60 0.0 33.8491295938
203 dots T2 -60 3.2 35.6811145511
204 dots T2 -60 6.4 35.5943152455
205 dots T2 -60 12.8 33.2285115304
206 dots T2 -60 25.6 34.0196078431
207 dots T2 -60 51.2 33.8662790698
208 dots T2 -40 0.0 35.2030947776
209 dots T2 -40 3.2 35.5263157895
210 dots T2 -40 6.4 35.0129198966
211 dots T2 -40 12.8 34.9056603774
212 dots T2 -40 25.6 34.7058823529
213 dots T2 -40 51.2 33.0910852713
214 dots T2 -20 0.0 35.1063829787
215 dots T2 -20 3.2 34.9845201238
216 dots T2 -20 6.4 36.3695090439
217 dots T2 -20 12.8 36.320754717
218 dots T2 -20 25.6 34.8529411765
219 dots T2 -20 51.2 35.3197674419
220 dots T2 0 0.0 34.1392649903
221 dots T2 0 3.2 36.1455108359
222 dots T2 0 6.4 37.8552971576
223 dots T2 0 12.8 36.0062893082
224 dots T2 0 25.6 34.4117647059
225 dots T2 0 51.2 35.6104651163
226 dots T2 20 0.0 35.9767891683
227 dots T2 20 3.2 38.3900928793
228 dots T2 20 6.4 36.9509043928
229 dots T2 20 12.8 36.8972746331
230 dots T2 20 25.6 34.362745098
231 dots T2 20 51.2 33.8178294574
232 dots T2 40 0.0 36.3636363636
233 dots T2 40 3.2 40.4024767802
234 dots T2 40 6.4 35.9819121447
235 dots T2 40 12.8 37.8406708595
236 dots T2 40 25.6 35.9803921569
237 dots T2 40 51.2 36.1918604651
238 dots T2 60 0.0 34.7195357834
239 dots T2 60 3.2 37.4613003096
240 dots T2 60 6.4 35.4005167959
241 dots T2 60 12.8 37.0545073375
242 dots T2 60 25.6 35.8823529412
243 dots T2 60 51.2 37.8391472868
244 dots T2 80 0.0 35.3965183752
245 dots T2 80 3.2 34.0557275542
246 dots T2 80 6.4 33.5917312661
247 dots T2 80 12.8 36.0062893082
248 dots T2 80 25.6 35.3431372549
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735 sacc T2 -80 51.2 27.5442304251
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91
实力学习PandasGUI/dataset_files/exercise.csv Normal file
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@ -0,0 +1,91 @@
id,diet,pulse,time,kind
1,low fat,85,1 min,rest
1,low fat,85,15 min,rest
1,low fat,88,30 min,rest
2,low fat,90,1 min,rest
2,low fat,92,15 min,rest
2,low fat,93,30 min,rest
3,low fat,97,1 min,rest
3,low fat,97,15 min,rest
3,low fat,94,30 min,rest
4,low fat,80,1 min,rest
4,low fat,82,15 min,rest
4,low fat,83,30 min,rest
5,low fat,91,1 min,rest
5,low fat,92,15 min,rest
5,low fat,91,30 min,rest
6,no fat,83,1 min,rest
6,no fat,83,15 min,rest
6,no fat,84,30 min,rest
7,no fat,87,1 min,rest
7,no fat,88,15 min,rest
7,no fat,90,30 min,rest
8,no fat,92,1 min,rest
8,no fat,94,15 min,rest
8,no fat,95,30 min,rest
9,no fat,97,1 min,rest
9,no fat,99,15 min,rest
9,no fat,96,30 min,rest
10,no fat,100,1 min,rest
10,no fat,97,15 min,rest
10,no fat,100,30 min,rest
11,low fat,86,1 min,walking
11,low fat,86,15 min,walking
11,low fat,84,30 min,walking
12,low fat,93,1 min,walking
12,low fat,103,15 min,walking
12,low fat,104,30 min,walking
13,low fat,90,1 min,walking
13,low fat,92,15 min,walking
13,low fat,93,30 min,walking
14,low fat,95,1 min,walking
14,low fat,96,15 min,walking
14,low fat,100,30 min,walking
15,low fat,89,1 min,walking
15,low fat,96,15 min,walking
15,low fat,95,30 min,walking
16,no fat,84,1 min,walking
16,no fat,86,15 min,walking
16,no fat,89,30 min,walking
17,no fat,103,1 min,walking
17,no fat,109,15 min,walking
17,no fat,90,30 min,walking
18,no fat,92,1 min,walking
18,no fat,96,15 min,walking
18,no fat,101,30 min,walking
19,no fat,97,1 min,walking
19,no fat,98,15 min,walking
19,no fat,100,30 min,walking
20,no fat,102,1 min,walking
20,no fat,104,15 min,walking
20,no fat,103,30 min,walking
21,low fat,93,1 min,running
21,low fat,98,15 min,running
21,low fat,110,30 min,running
22,low fat,98,1 min,running
22,low fat,104,15 min,running
22,low fat,112,30 min,running
23,low fat,98,1 min,running
23,low fat,105,15 min,running
23,low fat,99,30 min,running
24,low fat,87,1 min,running
24,low fat,132,15 min,running
24,low fat,120,30 min,running
25,low fat,94,1 min,running
25,low fat,110,15 min,running
25,low fat,116,30 min,running
26,no fat,95,1 min,running
26,no fat,126,15 min,running
26,no fat,143,30 min,running
27,no fat,100,1 min,running
27,no fat,126,15 min,running
27,no fat,140,30 min,running
28,no fat,103,1 min,running
28,no fat,124,15 min,running
28,no fat,140,30 min,running
29,no fat,94,1 min,running
29,no fat,135,15 min,running
29,no fat,130,30 min,running
30,no fat,99,1 min,running
30,no fat,111,15 min,running
30,no fat,150,30 min,running
1 id diet pulse time kind
2 1 low fat 85 1 min rest
3 1 low fat 85 15 min rest
4 1 low fat 88 30 min rest
5 2 low fat 90 1 min rest
6 2 low fat 92 15 min rest
7 2 low fat 93 30 min rest
8 3 low fat 97 1 min rest
9 3 low fat 97 15 min rest
10 3 low fat 94 30 min rest
11 4 low fat 80 1 min rest
12 4 low fat 82 15 min rest
13 4 low fat 83 30 min rest
14 5 low fat 91 1 min rest
15 5 low fat 92 15 min rest
16 5 low fat 91 30 min rest
17 6 no fat 83 1 min rest
18 6 no fat 83 15 min rest
19 6 no fat 84 30 min rest
20 7 no fat 87 1 min rest
21 7 no fat 88 15 min rest
22 7 no fat 90 30 min rest
23 8 no fat 92 1 min rest
24 8 no fat 94 15 min rest
25 8 no fat 95 30 min rest
26 9 no fat 97 1 min rest
27 9 no fat 99 15 min rest
28 9 no fat 96 30 min rest
29 10 no fat 100 1 min rest
30 10 no fat 97 15 min rest
31 10 no fat 100 30 min rest
32 11 low fat 86 1 min walking
33 11 low fat 86 15 min walking
34 11 low fat 84 30 min walking
35 12 low fat 93 1 min walking
36 12 low fat 103 15 min walking
37 12 low fat 104 30 min walking
38 13 low fat 90 1 min walking
39 13 low fat 92 15 min walking
40 13 low fat 93 30 min walking
41 14 low fat 95 1 min walking
42 14 low fat 96 15 min walking
43 14 low fat 100 30 min walking
44 15 low fat 89 1 min walking
45 15 low fat 96 15 min walking
46 15 low fat 95 30 min walking
47 16 no fat 84 1 min walking
48 16 no fat 86 15 min walking
49 16 no fat 89 30 min walking
50 17 no fat 103 1 min walking
51 17 no fat 109 15 min walking
52 17 no fat 90 30 min walking
53 18 no fat 92 1 min walking
54 18 no fat 96 15 min walking
55 18 no fat 101 30 min walking
56 19 no fat 97 1 min walking
57 19 no fat 98 15 min walking
58 19 no fat 100 30 min walking
59 20 no fat 102 1 min walking
60 20 no fat 104 15 min walking
61 20 no fat 103 30 min walking
62 21 low fat 93 1 min running
63 21 low fat 98 15 min running
64 21 low fat 110 30 min running
65 22 low fat 98 1 min running
66 22 low fat 104 15 min running
67 22 low fat 112 30 min running
68 23 low fat 98 1 min running
69 23 low fat 105 15 min running
70 23 low fat 99 30 min running
71 24 low fat 87 1 min running
72 24 low fat 132 15 min running
73 24 low fat 120 30 min running
74 25 low fat 94 1 min running
75 25 low fat 110 15 min running
76 25 low fat 116 30 min running
77 26 no fat 95 1 min running
78 26 no fat 126 15 min running
79 26 no fat 143 30 min running
80 27 no fat 100 1 min running
81 27 no fat 126 15 min running
82 27 no fat 140 30 min running
83 28 no fat 103 1 min running
84 28 no fat 124 15 min running
85 28 no fat 140 30 min running
86 29 no fat 94 1 min running
87 29 no fat 135 15 min running
88 29 no fat 130 30 min running
89 30 no fat 99 1 min running
90 30 no fat 111 15 min running
91 30 no fat 150 30 min running

145
实力学习PandasGUI/dataset_files/flights.csv Normal file
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year,month,passengers
1949,January,112
1949,February,118
1949,March,132
1949,April,129
1949,May,121
1949,June,135
1949,July,148
1949,August,148
1949,September,136
1949,October,119
1949,November,104
1949,December,118
1950,January,115
1950,February,126
1950,March,141
1950,April,135
1950,May,125
1950,June,149
1950,July,170
1950,August,170
1950,September,158
1950,October,133
1950,November,114
1950,December,140
1951,January,145
1951,February,150
1951,March,178
1951,April,163
1951,May,172
1951,June,178
1951,July,199
1951,August,199
1951,September,184
1951,October,162
1951,November,146
1951,December,166
1952,January,171
1952,February,180
1952,March,193
1952,April,181
1952,May,183
1952,June,218
1952,July,230
1952,August,242
1952,September,209
1952,October,191
1952,November,172
1952,December,194
1953,January,196
1953,February,196
1953,March,236
1953,April,235
1953,May,229
1953,June,243
1953,July,264
1953,August,272
1953,September,237
1953,October,211
1953,November,180
1953,December,201
1954,January,204
1954,February,188
1954,March,235
1954,April,227
1954,May,234
1954,June,264
1954,July,302
1954,August,293
1954,September,259
1954,October,229
1954,November,203
1954,December,229
1955,January,242
1955,February,233
1955,March,267
1955,April,269
1955,May,270
1955,June,315
1955,July,364
1955,August,347
1955,September,312
1955,October,274
1955,November,237
1955,December,278
1956,January,284
1956,February,277
1956,March,317
1956,April,313
1956,May,318
1956,June,374
1956,July,413
1956,August,405
1956,September,355
1956,October,306
1956,November,271
1956,December,306
1957,January,315
1957,February,301
1957,March,356
1957,April,348
1957,May,355
1957,June,422
1957,July,465
1957,August,467
1957,September,404
1957,October,347
1957,November,305
1957,December,336
1958,January,340
1958,February,318
1958,March,362
1958,April,348
1958,May,363
1958,June,435
1958,July,491
1958,August,505
1958,September,404
1958,October,359
1958,November,310
1958,December,337
1959,January,360
1959,February,342
1959,March,406
1959,April,396
1959,May,420
1959,June,472
1959,July,548
1959,August,559
1959,September,463
1959,October,407
1959,November,362
1959,December,405
1960,January,417
1960,February,391
1960,March,419
1960,April,461
1960,May,472
1960,June,535
1960,July,622
1960,August,606
1960,September,508
1960,October,461
1960,November,390
1960,December,432
1 year month passengers
2 1949 January 112
3 1949 February 118
4 1949 March 132
5 1949 April 129
6 1949 May 121
7 1949 June 135
8 1949 July 148
9 1949 August 148
10 1949 September 136
11 1949 October 119
12 1949 November 104
13 1949 December 118
14 1950 January 115
15 1950 February 126
16 1950 March 141
17 1950 April 135
18 1950 May 125
19 1950 June 149
20 1950 July 170
21 1950 August 170
22 1950 September 158
23 1950 October 133
24 1950 November 114
25 1950 December 140
26 1951 January 145
27 1951 February 150
28 1951 March 178
29 1951 April 163
30 1951 May 172
31 1951 June 178
32 1951 July 199
33 1951 August 199
34 1951 September 184
35 1951 October 162
36 1951 November 146
37 1951 December 166
38 1952 January 171
39 1952 February 180
40 1952 March 193
41 1952 April 181
42 1952 May 183
43 1952 June 218
44 1952 July 230
45 1952 August 242
46 1952 September 209
47 1952 October 191
48 1952 November 172
49 1952 December 194
50 1953 January 196
51 1953 February 196
52 1953 March 236
53 1953 April 235
54 1953 May 229
55 1953 June 243
56 1953 July 264
57 1953 August 272
58 1953 September 237
59 1953 October 211
60 1953 November 180
61 1953 December 201
62 1954 January 204
63 1954 February 188
64 1954 March 235
65 1954 April 227
66 1954 May 234
67 1954 June 264
68 1954 July 302
69 1954 August 293
70 1954 September 259
71 1954 October 229
72 1954 November 203
73 1954 December 229
74 1955 January 242
75 1955 February 233
76 1955 March 267
77 1955 April 269
78 1955 May 270
79 1955 June 315
80 1955 July 364
81 1955 August 347
82 1955 September 312
83 1955 October 274
84 1955 November 237
85 1955 December 278
86 1956 January 284
87 1956 February 277
88 1956 March 317
89 1956 April 313
90 1956 May 318
91 1956 June 374
92 1956 July 413
93 1956 August 405
94 1956 September 355
95 1956 October 306
96 1956 November 271
97 1956 December 306
98 1957 January 315
99 1957 February 301
100 1957 March 356
101 1957 April 348
102 1957 May 355
103 1957 June 422
104 1957 July 465
105 1957 August 467
106 1957 September 404
107 1957 October 347
108 1957 November 305
109 1957 December 336
110 1958 January 340
111 1958 February 318
112 1958 March 362
113 1958 April 348
114 1958 May 363
115 1958 June 435
116 1958 July 491
117 1958 August 505
118 1958 September 404
119 1958 October 359
120 1958 November 310
121 1958 December 337
122 1959 January 360
123 1959 February 342
124 1959 March 406
125 1959 April 396
126 1959 May 420
127 1959 June 472
128 1959 July 548
129 1959 August 559
130 1959 September 463
131 1959 October 407
132 1959 November 362
133 1959 December 405
134 1960 January 417
135 1960 February 391
136 1960 March 419
137 1960 April 461
138 1960 May 472
139 1960 June 535
140 1960 July 622
141 1960 August 606
142 1960 September 508
143 1960 October 461
144 1960 November 390
145 1960 December 432

1065
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6001
实力学习PandasGUI/dataset_files/gammas.csv Normal file
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duration,waiting,kind
3.6,79,long
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2.0,58,short
3.833,78,long
3.5,66,short
4.583,76,long
2.367,63,short
5.0,88,long
1.933,52,short
4.617,93,long
1.917,49,short
2.083,57,short
4.583,77,long
3.333,68,long
4.167,81,long
4.333,81,long
4.5,73,long
2.417,50,short
4.0,85,long
4.167,74,long
1.883,55,short
4.583,77,long
4.25,83,long
3.767,83,long
2.033,51,short
4.433,78,long
4.083,84,long
1.833,46,short
4.417,83,long
2.1830000000000003,55,short
4.8,81,long
1.833,57,short
4.8,76,long
4.1,84,long
3.966,77,long
4.2330000000000005,81,long
3.5,87,long
4.3660000000000005,77,long
2.25,51,short
4.667,78,long
2.1,60,short
4.35,82,long
4.133,91,long
1.867,53,short
4.6,78,long
1.783,46,short
4.367,77,long
3.85,84,long
1.933,49,short
4.5,83,long
2.383,71,long
4.7,80,long
1.867,49,short
3.833,75,long
3.417,64,short
4.2330000000000005,76,long
2.4,53,short
4.8,94,long
2.0,55,short
4.15,76,long
1.867,50,short
4.267,82,long
1.75,54,short
4.4830000000000005,75,long
4.0,78,long
4.117,79,long
4.083,78,long
4.267,78,long
3.917,70,long
4.55,79,long
4.083,70,long
2.417,54,short
4.183,86,long
2.217,50,short
4.45,90,long
1.883,54,short
1.85,54,short
4.283,77,long
3.95,79,long
2.333,64,short
4.15,75,long
2.35,47,short
4.933,86,long
2.9,63,short
4.583,85,long
3.833,82,long
2.083,57,short
4.367,82,long
2.133,67,short
4.35,74,long
2.2,54,short
4.45,83,long
3.567,73,long
4.5,73,long
4.15,88,long
3.817,80,long
3.917,71,long
4.45,83,long
2.0,56,short
4.283,79,long
4.767,78,long
4.533,84,long
1.85,58,short
4.25,83,long
1.983,43,short
2.25,60,short
4.75,75,long
4.117,81,long
2.15,46,short
4.417,90,long
1.817,46,short
4.467,74,long
1 duration waiting kind
2 3.6 79 long
3 1.8 54 short
4 3.333 74 long
5 2.283 62 short
6 4.533 85 long
7 2.883 55 short
8 4.7 88 long
9 3.6 85 long
10 1.95 51 short
11 4.35 85 long
12 1.833 54 short
13 3.917 84 long
14 4.2 78 long
15 1.75 47 short
16 4.7 83 long
17 2.167 52 short
18 1.75 62 short
19 4.8 84 long
20 1.6 52 short
21 4.25 79 long
22 1.8 51 short
23 1.75 47 short
24 3.45 78 long
25 3.067 69 long
26 4.533 74 long
27 3.6 83 long
28 1.967 55 short
29 4.083 76 long
30 3.85 78 long
31 4.433 79 long
32 4.3 73 long
33 4.467 77 long
34 3.367 66 short
35 4.033 80 long
36 3.833 74 long
37 2.017 52 short
38 1.867 48 short
39 4.833 80 long
40 1.833 59 short
41 4.783 90 long
42 4.35 80 long
43 1.883 58 short
44 4.567 84 long
45 1.75 58 short
46 4.533 73 long
47 3.317 83 long
48 3.833 64 short
49 2.1 53 short
50 4.633 82 long
51 2.0 59 short
52 4.8 75 long
53 4.716 90 long
54 1.833 54 short
55 4.833 80 long
56 1.733 54 short
57 4.883 83 long
58 3.717 71 long
59 1.6669999999999998 64 short
60 4.567 77 long
61 4.317 81 long
62 2.233 59 short
63 4.5 84 long
64 1.75 48 short
65 4.8 82 long
66 1.817 60 short
67 4.4 92 long
68 4.167 78 long
69 4.7 78 long
70 2.067 65 short
71 4.7 73 long
72 4.033 82 long
73 1.967 56 short
74 4.5 79 long
75 4.0 71 long
76 1.983 62 short
77 5.067 76 long
78 2.017 60 short
79 4.567 78 long
80 3.883 76 long
81 3.6 83 long
82 4.133 75 long
83 4.333 82 long
84 4.1 70 long
85 2.633 65 short
86 4.067 73 long
87 4.933 88 long
88 3.95 76 long
89 4.517 80 long
90 2.167 48 short
91 4.0 86 long
92 2.2 60 short
93 4.333 90 long
94 1.867 50 short
95 4.817 78 long
96 1.833 63 short
97 4.3 72 long
98 4.667 84 long
99 3.75 75 long
100 1.867 51 short
101 4.9 82 long
102 2.483 62 short
103 4.367 88 long
104 2.1 49 short
105 4.5 83 long
106 4.05 81 long
107 1.867 47 short
108 4.7 84 long
109 1.783 52 short
110 4.85 86 long
111 3.683 81 long
112 4.7330000000000005 75 long
113 2.3 59 short
114 4.9 89 long
115 4.417 79 long
116 1.7 59 short
117 4.633 81 long
118 2.317 50 short
119 4.6 85 long
120 1.817 59 short
121 4.417 87 long
122 2.617 53 short
123 4.067 69 long
124 4.25 77 long
125 1.967 56 short
126 4.6 88 long
127 3.767 81 long
128 1.917 45 short
129 4.5 82 long
130 2.267 55 short
131 4.65 90 long
132 1.867 45 short
133 4.167 83 long
134 2.8 56 short
135 4.333 89 long
136 1.833 46 short
137 4.383 82 long
138 1.883 51 short
139 4.933 86 long
140 2.033 53 short
141 3.733 79 long
142 4.2330000000000005 81 long
143 2.233 60 short
144 4.533 82 long
145 4.817 77 long
146 4.333 76 long
147 1.983 59 short
148 4.633 80 long
149 2.017 49 short
150 5.1 96 long
151 1.8 53 short
152 5.033 77 long
153 4.0 77 long
154 2.4 65 short
155 4.6 81 long
156 3.567 71 long
157 4.0 70 long
158 4.5 81 long
159 4.083 93 long
160 1.8 53 short
161 3.967 89 long
162 2.2 45 short
163 4.15 86 long
164 2.0 58 short
165 3.833 78 long
166 3.5 66 short
167 4.583 76 long
168 2.367 63 short
169 5.0 88 long
170 1.933 52 short
171 4.617 93 long
172 1.917 49 short
173 2.083 57 short
174 4.583 77 long
175 3.333 68 long
176 4.167 81 long
177 4.333 81 long
178 4.5 73 long
179 2.417 50 short
180 4.0 85 long
181 4.167 74 long
182 1.883 55 short
183 4.583 77 long
184 4.25 83 long
185 3.767 83 long
186 2.033 51 short
187 4.433 78 long
188 4.083 84 long
189 1.833 46 short
190 4.417 83 long
191 2.1830000000000003 55 short
192 4.8 81 long
193 1.833 57 short
194 4.8 76 long
195 4.1 84 long
196 3.966 77 long
197 4.2330000000000005 81 long
198 3.5 87 long
199 4.3660000000000005 77 long
200 2.25 51 short
201 4.667 78 long
202 2.1 60 short
203 4.35 82 long
204 4.133 91 long
205 1.867 53 short
206 4.6 78 long
207 1.783 46 short
208 4.367 77 long
209 3.85 84 long
210 1.933 49 short
211 4.5 83 long
212 2.383 71 long
213 4.7 80 long
214 1.867 49 short
215 3.833 75 long
216 3.417 64 short
217 4.2330000000000005 76 long
218 2.4 53 short
219 4.8 94 long
220 2.0 55 short
221 4.15 76 long
222 1.867 50 short
223 4.267 82 long
224 1.75 54 short
225 4.4830000000000005 75 long
226 4.0 78 long
227 4.117 79 long
228 4.083 78 long
229 4.267 78 long
230 3.917 70 long
231 4.55 79 long
232 4.083 70 long
233 2.417 54 short
234 4.183 86 long
235 2.217 50 short
236 4.45 90 long
237 1.883 54 short
238 1.85 54 short
239 4.283 77 long
240 3.95 79 long
241 2.333 64 short
242 4.15 75 long
243 2.35 47 short
244 4.933 86 long
245 2.9 63 short
246 4.583 85 long
247 3.833 82 long
248 2.083 57 short
249 4.367 82 long
250 2.133 67 short
251 4.35 74 long
252 2.2 54 short
253 4.45 83 long
254 3.567 73 long
255 4.5 73 long
256 4.15 88 long
257 3.817 80 long
258 3.917 71 long
259 4.45 83 long
260 2.0 56 short
261 4.283 79 long
262 4.767 78 long
263 4.533 84 long
264 1.85 58 short
265 4.25 83 long
266 1.983 43 short
267 2.25 60 short
268 4.75 75 long
269 4.117 81 long
270 2.15 46 short
271 4.417 90 long
272 1.817 46 short
273 4.467 74 long

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Unnamed: 0,Country,Region,Happiness Rank,Happiness Score,Standard Error,Economy (GDP per Capita),Family,Health (Life Expectancy),Freedom,Trust (Government Corruption),Generosity,Dystopia Residual,Lower Confidence Interval,Upper Confidence Interval,Happiness.Rank,Happiness.Score,Whisker.high,Whisker.low,Economy..GDP.per.Capita.,Health..Life.Expectancy.,Trust..Government.Corruption.,Dystopia.Residual,Overall rank,Country or region,Score,GDP per capita,Social support,Healthy life expectancy,Freedom to make life choices,Perceptions of corruption
0,Switzerland,Western Europe,1.0,7.587,0.03411,1.39651,1.34951,0.94143,0.66557,0.41978,0.29678,2.51738,,,,,,,,,,,,,,,,,,
1,Iceland,Western Europe,2.0,7.561,0.04884,1.30232,1.40223,0.94784,0.62877,0.14145,0.4363,2.70201,,,,,,,,,,,,,,,,,,
2,Denmark,Western Europe,3.0,7.527,0.03328,1.32548,1.36058,0.87464,0.64938,0.48357,0.34139,2.49204,,,,,,,,,,,,,,,,,,
3,Norway,Western Europe,4.0,7.522,0.0388,1.459,1.33095,0.88521,0.66973,0.36503,0.34699,2.46531,,,,,,,,,,,,,,,,,,
4,Canada,North America,5.0,7.427,0.03553,1.32629,1.32261,0.90563,0.63297,0.32957,0.45811,2.45176,,,,,,,,,,,,,,,,,,
5,Finland,Western Europe,6.0,7.406,0.0314,1.29025,1.31826,0.88911,0.64169,0.41372,0.23351,2.61955,,,,,,,,,,,,,,,,,,
6,Netherlands,Western Europe,7.0,7.378,0.02799,1.32944,1.28017,0.89284,0.61576,0.31814,0.4761,2.4657,,,,,,,,,,,,,,,,,,
7,Sweden,Western Europe,8.0,7.364,0.03157,1.33171,1.28907,0.91087,0.6598,0.43844,0.36262,2.37119,,,,,,,,,,,,,,,,,,
8,New Zealand,Australia and New Zealand,9.0,7.286,0.03371,1.25018,1.31967,0.90837,0.63938,0.42922,0.47501,2.26425,,,,,,,,,,,,,,,,,,
9,Australia,Australia and New Zealand,10.0,7.284,0.04083,1.33358,1.30923,0.93156,0.65124,0.35637,0.43562,2.26646,,,,,,,,,,,,,,,,,,
10,Israel,Middle East and Northern Africa,11.0,7.278,0.0347,1.22857,1.22393,0.91387,0.41319,0.07785,0.33172,3.08854,,,,,,,,,,,,,,,,,,
11,Costa Rica,Latin America and Caribbean,12.0,7.226,0.04454,0.95578,1.23788,0.86027,0.63376,0.10583,0.25497,3.17728,,,,,,,,,,,,,,,,,,
12,Austria,Western Europe,13.0,7.2,0.03751,1.33723,1.29704,0.89042,0.62433,0.18676,0.33088,2.5332,,,,,,,,,,,,,,,,,,
13,Mexico,Latin America and Caribbean,14.0,7.187,0.04176,1.02054,0.91451,0.81444,0.48181,0.21312,0.14074,3.60214,,,,,,,,,,,,,,,,,,
14,United States,North America,15.0,7.119,0.03839,1.39451,1.24711,0.86179,0.54604,0.1589,0.40105,2.51011,,,,,,,,,,,,,,,,,,
15,Brazil,Latin America and Caribbean,16.0,6.983,0.04076,0.98124,1.23287,0.69702,0.49049,0.17521,0.14574,3.26001,,,,,,,,,,,,,,,,,,
16,Luxembourg,Western Europe,17.0,6.946,0.03499,1.56391,1.21963,0.91894,0.61583,0.37798,0.28034,1.96961,,,,,,,,,,,,,,,,,,
17,Ireland,Western Europe,18.0,6.94,0.03676,1.33596,1.36948,0.89533,0.61777,0.28703,0.45901,1.9757,,,,,,,,,,,,,,,,,,
18,Belgium,Western Europe,19.0,6.937,0.03595,1.30782,1.28566,0.89667,0.5845,0.2254,0.2225,2.41484,,,,,,,,,,,,,,,,,,
19,United Arab Emirates,Middle East and Northern Africa,20.0,6.901,0.03729,1.42727,1.12575,0.80925,0.64157,0.38583,0.26428,2.24743,,,,,,,,,,,,,,,,,,
20,United Kingdom,Western Europe,21.0,6.867,0.01866,1.26637,1.28548,0.90943,0.59625,0.32067,0.51912,1.96994,,,,,,,,,,,,,,,,,,
21,Oman,Middle East and Northern Africa,22.0,6.853,0.05335,1.36011,1.08182,0.76276,0.63274,0.32524,0.21542,2.47489,,,,,,,,,,,,,,,,,,
22,Venezuela,Latin America and Caribbean,23.0,6.81,0.06476,1.04424,1.25596,0.72052,0.42908,0.11069,0.05841,3.19131,,,,,,,,,,,,,,,,,,
23,Singapore,Southeastern Asia,24.0,6.798,0.0378,1.52186,1.02,1.02525,0.54252,0.4921,0.31105,1.88501,,,,,,,,,,,,,,,,,,
24,Panama,Latin America and Caribbean,25.0,6.786,0.0491,1.06353,1.1985,0.79661,0.5421,0.0927,0.24434,2.84848,,,,,,,,,,,,,,,,,,
25,Germany,Western Europe,26.0,6.75,0.01848,1.32792,1.29937,0.89186,0.61477,0.21843,0.28214,2.11569,,,,,,,,,,,,,,,,,,
26,Chile,Latin America and Caribbean,27.0,6.67,0.058,1.10715,1.12447,0.85857,0.44132,0.12869,0.33363,2.67585,,,,,,,,,,,,,,,,,,
27,Qatar,Middle East and Northern Africa,28.0,6.611,0.06257,1.69042,1.0786,0.79733,0.6404,0.52208,0.32573,1.55674,,,,,,,,,,,,,,,,,,
28,France,Western Europe,29.0,6.575,0.03512,1.27778,1.26038,0.94579,0.55011,0.20646,0.12332,2.21126,,,,,,,,,,,,,,,,,,
29,Argentina,Latin America and Caribbean,30.0,6.574,0.04612,1.05351,1.24823,0.78723,0.44974,0.08484,0.11451,2.836,,,,,,,,,,,,,,,,,,
30,Czech Republic,Central and Eastern Europe,31.0,6.505,0.04168,1.17898,1.20643,0.84483,0.46364,0.02652,0.10686,2.67782,,,,,,,,,,,,,,,,,,
31,Uruguay,Latin America and Caribbean,32.0,6.485,0.04539,1.06166,1.2089,0.8116,0.60362,0.24558,0.2324,2.32142,,,,,,,,,,,,,,,,,,
32,Colombia,Latin America and Caribbean,33.0,6.477,0.05051,0.91861,1.24018,0.69077,0.53466,0.0512,0.18401,2.85737,,,,,,,,,,,,,,,,,,
33,Thailand,Southeastern Asia,34.0,6.455,0.03557,0.9669,1.26504,0.7385,0.55664,0.03187,0.5763,2.31945,,,,,,,,,,,,,,,,,,
34,Saudi Arabia,Middle East and Northern Africa,35.0,6.411,0.04633,1.39541,1.08393,0.72025,0.31048,0.32524,0.13706,2.43872,,,,,,,,,,,,,,,,,,
35,Spain,Western Europe,36.0,6.329,0.03468,1.23011,1.31379,0.95562,0.45951,0.06398,0.18227,2.12367,,,,,,,,,,,,,,,,,,
36,Malta,Western Europe,37.0,6.302,0.04206,1.2074,1.30203,0.88721,0.60365,0.13586,0.51752,1.6488,,,,,,,,,,,,,,,,,,
37,Taiwan,Eastern Asia,38.0,6.298,0.03868,1.29098,1.07617,0.8753,0.3974,0.08129,0.25376,2.32323,,,,,,,,,,,,,,,,,,
38,Kuwait,Middle East and Northern Africa,39.0,6.295,0.04456,1.55422,1.16594,0.72492,0.55499,0.25609,0.16228,1.87634,,,,,,,,,,,,,,,,,,
39,Suriname,Latin America and Caribbean,40.0,6.269,0.09811,0.99534,0.972,0.6082,0.59657,0.13633,0.16991,2.79094,,,,,,,,,,,,,,,,,,
40,Trinidad and Tobago,Latin America and Caribbean,41.0,6.168,0.10895,1.21183,1.18354,0.61483,0.55884,0.0114,0.31844,2.26882,,,,,,,,,,,,,,,,,,
41,El Salvador,Latin America and Caribbean,42.0,6.13,0.05618,0.76454,1.02507,0.67737,0.4035,0.11776,0.10692,3.035,,,,,,,,,,,,,,,,,,
42,Guatemala,Latin America and Caribbean,43.0,6.123,0.05224,0.74553,1.04356,0.64425,0.57733,0.09472,0.27489,2.74255,,,,,,,,,,,,,,,,,,
43,Uzbekistan,Central and Eastern Europe,44.0,6.003,0.04361,0.63244,1.34043,0.59772,0.65821,0.30826,0.22837,2.23741,,,,,,,,,,,,,,,,,,
44,Slovakia,Central and Eastern Europe,45.0,5.995,0.04267,1.16891,1.26999,0.78902,0.31751,0.03431,0.16893,2.24639,,,,,,,,,,,,,,,,,,
45,Japan,Eastern Asia,46.0,5.987,0.03581,1.27074,1.25712,0.99111,0.49615,0.1806,0.10705,1.68435,,,,,,,,,,,,,,,,,,
46,South Korea,Eastern Asia,47.0,5.984,0.04098,1.24461,0.95774,0.96538,0.33208,0.07857,0.18557,2.21978,,,,,,,,,,,,,,,,,,
47,Ecuador,Latin America and Caribbean,48.0,5.975,0.04528,0.86402,0.99903,0.79075,0.48574,0.1809,0.11541,2.53942,,,,,,,,,,,,,,,,,,
48,Bahrain,Middle East and Northern Africa,49.0,5.96,0.05412,1.32376,1.21624,0.74716,0.45492,0.306,0.17362,1.73797,,,,,,,,,,,,,,,,,,
49,Italy,Western Europe,50.0,5.948,0.03914,1.25114,1.19777,0.95446,0.26236,0.02901,0.22823,2.02518,,,,,,,,,,,,,,,,,,
50,Bolivia,Latin America and Caribbean,51.0,5.89,0.05642,0.68133,0.97841,0.5392,0.57414,0.088,0.20536,2.82334,,,,,,,,,,,,,,,,,,
51,Moldova,Central and Eastern Europe,52.0,5.889,0.03799,0.59448,1.01528,0.61826,0.32818,0.01615,0.20951,3.10712,,,,,,,,,,,,,,,,,,
52,Paraguay,Latin America and Caribbean,53.0,5.878,0.04563,0.75985,1.30477,0.66098,0.53899,0.08242,0.3424,2.18896,,,,,,,,,,,,,,,,,,
53,Kazakhstan,Central and Eastern Europe,54.0,5.855,0.04114,1.12254,1.12241,0.64368,0.51649,0.08454,0.11827,2.24729,,,,,,,,,,,,,,,,,,
54,Slovenia,Central and Eastern Europe,55.0,5.848,0.04251,1.18498,1.27385,0.87337,0.60855,0.03787,0.25328,1.61583,,,,,,,,,,,,,,,,,,
55,Lithuania,Central and Eastern Europe,56.0,5.833,0.03843,1.14723,1.25745,0.73128,0.21342,0.01031,0.02641,2.44649,,,,,,,,,,,,,,,,,,
56,Nicaragua,Latin America and Caribbean,57.0,5.828,0.05371,0.59325,1.14184,0.74314,0.55475,0.19317,0.27815,2.32407,,,,,,,,,,,,,,,,,,
57,Peru,Latin America and Caribbean,58.0,5.824,0.04615,0.90019,0.97459,0.73017,0.41496,0.05989,0.14982,2.5945,,,,,,,,,,,,,,,,,,
58,Belarus,Central and Eastern Europe,59.0,5.813,0.03938,1.03192,1.23289,0.73608,0.37938,0.1909,0.11046,2.1309,,,,,,,,,,,,,,,,,,
59,Poland,Central and Eastern Europe,60.0,5.791,0.04263,1.12555,1.27948,0.77903,0.53122,0.04212,0.16759,1.86565,,,,,,,,,,,,,,,,,,
60,Malaysia,Southeastern Asia,61.0,5.77,0.0433,1.12486,1.07023,0.72394,0.53024,0.10501,0.33075,1.88541,,,,,,,,,,,,,,,,,,
61,Croatia,Central and Eastern Europe,62.0,5.759,0.04394,1.08254,0.79624,0.78805,0.25883,0.0243,0.05444,2.75414,,,,,,,,,,,,,,,,,,
62,Libya,Middle East and Northern Africa,63.0,5.754,0.07832,1.13145,1.11862,0.7038,0.41668,0.11023,0.18295,2.09066,,,,,,,,,,,,,,,,,,
63,Russia,Central and Eastern Europe,64.0,5.716,0.03135,1.13764,1.23617,0.66926,0.36679,0.03005,0.00199,2.27394,,,,,,,,,,,,,,,,,,
64,Jamaica,Latin America and Caribbean,65.0,5.709,0.13693,0.81038,1.15102,0.68741,0.50442,0.02299,0.2123,2.32038,,,,,,,,,,,,,,,,,,
65,North Cyprus,Western Europe,66.0,5.695,0.05635,1.20806,1.07008,0.92356,0.49027,0.1428,0.26169,1.59888,,,,,,,,,,,,,,,,,,
66,Cyprus,Western Europe,67.0,5.689,0.0558,1.20813,0.89318,0.92356,0.40672,0.06146,0.30638,1.88931,,,,,,,,,,,,,,,,,,
67,Algeria,Middle East and Northern Africa,68.0,5.605,0.05099,0.93929,1.07772,0.61766,0.28579,0.17383,0.07822,2.43209,,,,,,,,,,,,,,,,,,
68,Kosovo,Central and Eastern Europe,69.0,5.589,0.05018,0.80148,0.81198,0.63132,0.24749,0.04741,0.2831,2.76579,,,,,,,,,,,,,,,,,,
69,Turkmenistan,Central and Eastern Europe,70.0,5.548,0.04175,0.95847,1.22668,0.53886,0.4761,0.30844,0.16979,1.86984,,,,,,,,,,,,,,,,,,
70,Mauritius,Sub-Saharan Africa,71.0,5.477,0.07197,1.00761,0.98521,0.7095,0.56066,0.07521,0.37744,1.76145,,,,,,,,,,,,,,,,,,
71,Hong Kong,Eastern Asia,72.0,5.474,0.05051,1.38604,1.05818,1.01328,0.59608,0.37124,0.39478,0.65429,,,,,,,,,,,,,,,,,,
72,Estonia,Central and Eastern Europe,73.0,5.429,0.04013,1.15174,1.22791,0.77361,0.44888,0.15184,0.0868,1.58782,,,,,,,,,,,,,,,,,,
73,Indonesia,Southeastern Asia,74.0,5.399,0.02596,0.82827,1.08708,0.63793,0.46611,0.0,0.51535,1.86399,,,,,,,,,,,,,,,,,,
74,Vietnam,Southeastern Asia,75.0,5.36,0.03107,0.63216,0.91226,0.74676,0.59444,0.10441,0.1686,2.20173,,,,,,,,,,,,,,,,,,
75,Turkey,Middle East and Northern Africa,76.0,5.332,0.03864,1.06098,0.94632,0.73172,0.22815,0.15746,0.12253,2.08528,,,,,,,,,,,,,,,,,,
76,Kyrgyzstan,Central and Eastern Europe,77.0,5.286,0.03823,0.47428,1.15115,0.65088,0.43477,0.04232,0.3003,2.2327,,,,,,,,,,,,,,,,,,
77,Nigeria,Sub-Saharan Africa,78.0,5.268,0.04192,0.65435,0.90432,0.16007,0.34334,0.0403,0.27233,2.89319,,,,,,,,,,,,,,,,,,
78,Bhutan,Southern Asia,79.0,5.253,0.03225,0.77042,1.10395,0.57407,0.53206,0.15445,0.47998,1.63794,,,,,,,,,,,,,,,,,,
79,Azerbaijan,Central and Eastern Europe,80.0,5.212,0.03363,1.02389,0.93793,0.64045,0.3703,0.16065,0.07799,2.00073,,,,,,,,,,,,,,,,,,
80,Pakistan,Southern Asia,81.0,5.194,0.03726,0.59543,0.41411,0.51466,0.12102,0.10464,0.33671,3.10709,,,,,,,,,,,,,,,,,,
81,Jordan,Middle East and Northern Africa,82.0,5.192,0.04524,0.90198,1.05392,0.69639,0.40661,0.14293,0.11053,1.87996,,,,,,,,,,,,,,,,,,
82,Montenegro,Central and Eastern Europe,82.0,5.192,0.05235,0.97438,0.90557,0.72521,0.1826,0.14296,0.1614,2.10017,,,,,,,,,,,,,,,,,,
83,China,Eastern Asia,84.0,5.14,0.02424,0.89012,0.94675,0.81658,0.51697,0.02781,0.08185,1.8604,,,,,,,,,,,,,,,,,,
84,Zambia,Sub-Saharan Africa,85.0,5.129,0.06988,0.47038,0.91612,0.29924,0.48827,0.12468,0.19591,2.6343,,,,,,,,,,,,,,,,,,
85,Romania,Central and Eastern Europe,86.0,5.124,0.06607,1.04345,0.88588,0.7689,0.35068,0.00649,0.13748,1.93129,,,,,,,,,,,,,,,,,,
86,Serbia,Central and Eastern Europe,87.0,5.123,0.04864,0.92053,1.00964,0.74836,0.20107,0.02617,0.19231,2.025,,,,,,,,,,,,,,,,,,
87,Portugal,Western Europe,88.0,5.102,0.04802,1.15991,1.13935,0.87519,0.51469,0.01078,0.13719,1.26462,,,,,,,,,,,,,,,,,,
88,Latvia,Central and Eastern Europe,89.0,5.098,0.0464,1.11312,1.09562,0.72437,0.29671,0.06332,0.18226,1.62215,,,,,,,,,,,,,,,,,,
89,Philippines,Southeastern Asia,90.0,5.073,0.04934,0.70532,1.03516,0.58114,0.62545,0.12279,0.24991,1.7536,,,,,,,,,,,,,,,,,,
90,Somaliland region,Sub-Saharan Africa,91.0,5.057,0.06161,0.18847,0.95152,0.43873,0.46582,0.39928,0.50318,2.11032,,,,,,,,,,,,,,,,,,
91,Morocco,Middle East and Northern Africa,92.0,5.013,0.0342,0.73479,0.64095,0.60954,0.41691,0.08546,0.07172,2.45373,,,,,,,,,,,,,,,,,,
92,Macedonia,Central and Eastern Europe,93.0,5.007,0.05376,0.91851,1.00232,0.73545,0.33457,0.05327,0.22359,1.73933,,,,,,,,,,,,,,,,,,
93,Mozambique,Sub-Saharan Africa,94.0,4.971,0.07896,0.08308,1.02626,0.09131,0.34037,0.15603,0.22269,3.05137,,,,,,,,,,,,,,,,,,
94,Albania,Central and Eastern Europe,95.0,4.959,0.05013,0.87867,0.80434,0.81325,0.35733,0.06413,0.14272,1.89894,,,,,,,,,,,,,,,,,,
95,Bosnia and Herzegovina,Central and Eastern Europe,96.0,4.949,0.06913,0.83223,0.91916,0.79081,0.09245,0.00227,0.24808,2.06367,,,,,,,,,,,,,,,,,,
96,Lesotho,Sub-Saharan Africa,97.0,4.898,0.09438,0.37545,1.04103,0.07612,0.31767,0.12504,0.16388,2.79832,,,,,,,,,,,,,,,,,,
97,Dominican Republic,Latin America and Caribbean,98.0,4.885,0.07446,0.89537,1.17202,0.66825,0.57672,0.14234,0.21684,1.21305,,,,,,,,,,,,,,,,,,
98,Laos,Southeastern Asia,99.0,4.876,0.06698,0.59066,0.73803,0.54909,0.59591,0.24249,0.42192,1.73799,,,,,,,,,,,,,,,,,,
99,Mongolia,Eastern Asia,100.0,4.874,0.03313,0.82819,1.3006,0.60268,0.43626,0.02666,0.3323,1.34759,,,,,,,,,,,,,,,,,,
100,Swaziland,Sub-Saharan Africa,101.0,4.867,0.08742,0.71206,1.07284,0.07566,0.30658,0.0306,0.18259,2.48676,,,,,,,,,,,,,,,,,,
101,Greece,Western Europe,102.0,4.857,0.05062,1.15406,0.92933,0.88213,0.07699,0.01397,0.0,1.80101,,,,,,,,,,,,,,,,,,
102,Lebanon,Middle East and Northern Africa,103.0,4.839,0.04337,1.02564,0.80001,0.83947,0.33916,0.04582,0.21854,1.57059,,,,,,,,,,,,,,,,,,
103,Hungary,Central and Eastern Europe,104.0,4.8,0.06107,1.12094,1.20215,0.75905,0.32112,0.02758,0.128,1.24074,,,,,,,,,,,,,,,,,,
104,Honduras,Latin America and Caribbean,105.0,4.788,0.05648,0.59532,0.95348,0.6951,0.40148,0.06825,0.23027,1.84408,,,,,,,,,,,,,,,,,,
105,Tajikistan,Central and Eastern Europe,106.0,4.786,0.03198,0.39047,0.85563,0.57379,0.47216,0.15072,0.22974,2.11399,,,,,,,,,,,,,,,,,,
106,Tunisia,Middle East and Northern Africa,107.0,4.739,0.03589,0.88113,0.60429,0.73793,0.26268,0.06358,0.06431,2.12466,,,,,,,,,,,,,,,,,,
107,Palestinian Territories,Middle East and Northern Africa,108.0,4.715,0.04394,0.59867,0.92558,0.66015,0.24499,0.12905,0.11251,2.04384,,,,,,,,,,,,,,,,,,
108,Bangladesh,Southern Asia,109.0,4.694,0.03077,0.39753,0.43106,0.60164,0.4082,0.12569,0.21222,2.51767,,,,,,,,,,,,,,,,,,
109,Iran,Middle East and Northern Africa,110.0,4.686,0.04449,1.0088,0.54447,0.69805,0.30033,0.05863,0.38086,1.6944,,,,,,,,,,,,,,,,,,
110,Ukraine,Central and Eastern Europe,111.0,4.681,0.04412,0.79907,1.20278,0.6739,0.25123,0.02961,0.15275,1.5714,,,,,,,,,,,,,,,,,,
111,Iraq,Middle East and Northern Africa,112.0,4.677,0.05232,0.98549,0.81889,0.60237,0.0,0.13788,0.17922,1.95335,,,,,,,,,,,,,,,,,,
112,South Africa,Sub-Saharan Africa,113.0,4.642,0.04585,0.92049,1.18468,0.27688,0.33207,0.08884,0.11973,1.71956,,,,,,,,,,,,,,,,,,
113,Ghana,Sub-Saharan Africa,114.0,4.633,0.04742,0.54558,0.67954,0.40132,0.42342,0.04355,0.23087,2.30919,,,,,,,,,,,,,,,,,,
114,Zimbabwe,Sub-Saharan Africa,115.0,4.61,0.0429,0.271,1.03276,0.33475,0.25861,0.08079,0.18987,2.44191,,,,,,,,,,,,,,,,,,
115,Liberia,Sub-Saharan Africa,116.0,4.571,0.11068,0.0712,0.78968,0.34201,0.28531,0.06232,0.24362,2.77729,,,,,,,,,,,,,,,,,,
116,India,Southern Asia,117.0,4.565,0.02043,0.64499,0.38174,0.51529,0.39786,0.08492,0.26475,2.27513,,,,,,,,,,,,,,,,,,
117,Sudan,Sub-Saharan Africa,118.0,4.55,0.0674,0.52107,1.01404,0.36878,0.10081,0.1466,0.19062,2.20857,,,,,,,,,,,,,,,,,,
118,Haiti,Latin America and Caribbean,119.0,4.518,0.07331,0.26673,0.74302,0.38847,0.24425,0.17175,0.46187,2.24173,,,,,,,,,,,,,,,,,,
119,Congo (Kinshasa),Sub-Saharan Africa,120.0,4.517,0.0368,0.0,1.0012,0.09806,0.22605,0.07625,0.24834,2.86712,,,,,,,,,,,,,,,,,,
120,Nepal,Southern Asia,121.0,4.514,0.03607,0.35997,0.86449,0.56874,0.38282,0.05907,0.32296,1.95637,,,,,,,,,,,,,,,,,,
121,Ethiopia,Sub-Saharan Africa,122.0,4.512,0.0378,0.19073,0.60406,0.44055,0.4345,0.15048,0.24325,2.44876,,,,,,,,,,,,,,,,,,
122,Sierra Leone,Sub-Saharan Africa,123.0,4.507,0.07068,0.33024,0.95571,0.0,0.4084,0.08786,0.21488,2.51009,,,,,,,,,,,,,,,,,,
123,Mauritania,Sub-Saharan Africa,124.0,4.436,0.03947,0.45407,0.86908,0.35874,0.24232,0.17461,0.219,2.11773,,,,,,,,,,,,,,,,,,
124,Kenya,Sub-Saharan Africa,125.0,4.419,0.04734,0.36471,0.99876,0.41435,0.42215,0.05839,0.37542,1.78555,,,,,,,,,,,,,,,,,,
125,Djibouti,Sub-Saharan Africa,126.0,4.369,0.08096,0.44025,0.59207,0.36291,0.46074,0.28105,0.18093,2.05125,,,,,,,,,,,,,,,,,,
126,Armenia,Central and Eastern Europe,127.0,4.35,0.04763,0.76821,0.77711,0.7299,0.19847,0.039,0.07855,1.75873,,,,,,,,,,,,,,,,,,
127,Botswana,Sub-Saharan Africa,128.0,4.332,0.04934,0.99355,1.10464,0.04776,0.49495,0.12474,0.10461,1.46181,,,,,,,,,,,,,,,,,,
128,Myanmar,Southeastern Asia,129.0,4.307,0.04351,0.27108,0.70905,0.48246,0.44017,0.19034,0.79588,1.41805,,,,,,,,,,,,,,,,,,
129,Georgia,Central and Eastern Europe,130.0,4.297,0.04221,0.7419,0.38562,0.72926,0.40577,0.38331,0.05547,1.59541,,,,,,,,,,,,,,,,,,
130,Malawi,Sub-Saharan Africa,131.0,4.292,0.0613,0.01604,0.41134,0.22562,0.43054,0.06977,0.33128,2.80791,,,,,,,,,,,,,,,,,,
131,Sri Lanka,Southern Asia,132.0,4.271,0.03751,0.83524,1.01905,0.70806,0.53726,0.09179,0.40828,0.67108,,,,,,,,,,,,,,,,,,
132,Cameroon,Sub-Saharan Africa,133.0,4.252,0.04678,0.4225,0.88767,0.23402,0.49309,0.05786,0.20618,1.95071,,,,,,,,,,,,,,,,,,
133,Bulgaria,Central and Eastern Europe,134.0,4.218,0.04828,1.01216,1.10614,0.76649,0.30587,0.00872,0.11921,0.89991,,,,,,,,,,,,,,,,,,
134,Egypt,Middle East and Northern Africa,135.0,4.194,0.0326,0.8818,0.747,0.61712,0.17288,0.06324,0.11291,1.59927,,,,,,,,,,,,,,,,,,
135,Yemen,Middle East and Northern Africa,136.0,4.077,0.04367,0.54649,0.68093,0.40064,0.35571,0.07854,0.09131,1.92313,,,,,,,,,,,,,,,,,,
136,Angola,Sub-Saharan Africa,137.0,4.033,0.04758,0.75778,0.8604,0.16683,0.10384,0.07122,0.12344,1.94939,,,,,,,,,,,,,,,,,,
137,Mali,Sub-Saharan Africa,138.0,3.995,0.05602,0.26074,1.03526,0.20583,0.38857,0.12352,0.18798,1.79293,,,,,,,,,,,,,,,,,,
138,Congo (Brazzaville),Sub-Saharan Africa,139.0,3.989,0.06682,0.67866,0.6629,0.31051,0.41466,0.11686,0.12388,1.68135,,,,,,,,,,,,,,,,,,
139,Comoros,Sub-Saharan Africa,140.0,3.956,0.04797,0.23906,0.79273,0.36315,0.22917,0.199,0.17441,1.95812,,,,,,,,,,,,,,,,,,
140,Uganda,Sub-Saharan Africa,141.0,3.931,0.04317,0.21102,1.13299,0.33861,0.45727,0.07267,0.29066,1.42766,,,,,,,,,,,,,,,,,,
141,Senegal,Sub-Saharan Africa,142.0,3.904,0.03608,0.36498,0.97619,0.4354,0.36772,0.10713,0.20843,1.44395,,,,,,,,,,,,,,,,,,
142,Gabon,Sub-Saharan Africa,143.0,3.896,0.04547,1.06024,0.90528,0.43372,0.31914,0.11091,0.06822,0.99895,,,,,,,,,,,,,,,,,,
143,Niger,Sub-Saharan Africa,144.0,3.845,0.03602,0.0694,0.77265,0.29707,0.47692,0.15639,0.19387,1.87877,,,,,,,,,,,,,,,,,,
144,Cambodia,Southeastern Asia,145.0,3.819,0.05069,0.46038,0.62736,0.61114,0.66246,0.07247,0.40359,0.98195,,,,,,,,,,,,,,,,,,
145,Tanzania,Sub-Saharan Africa,146.0,3.781,0.05061,0.2852,1.00268,0.38215,0.32878,0.05747,0.34377,1.38079,,,,,,,,,,,,,,,,,,
146,Madagascar,Sub-Saharan Africa,147.0,3.681,0.03633,0.20824,0.66801,0.46721,0.19184,0.08124,0.21333,1.851,,,,,,,,,,,,,,,,,,
147,Central African Republic,Sub-Saharan Africa,148.0,3.678,0.06112,0.0785,0.0,0.06699,0.48879,0.08289,0.23835,2.7223,,,,,,,,,,,,,,,,,,
148,Chad,Sub-Saharan Africa,149.0,3.667,0.0383,0.34193,0.76062,0.1501,0.23501,0.05269,0.18386,1.94296,,,,,,,,,,,,,,,,,,
149,Guinea,Sub-Saharan Africa,150.0,3.656,0.0359,0.17417,0.46475,0.24009,0.37725,0.12139,0.28657,1.99172,,,,,,,,,,,,,,,,,,
150,Ivory Coast,Sub-Saharan Africa,151.0,3.655,0.05141,0.46534,0.77115,0.15185,0.46866,0.17922,0.20165,1.41723,,,,,,,,,,,,,,,,,,
151,Burkina Faso,Sub-Saharan Africa,152.0,3.587,0.04324,0.25812,0.85188,0.27125,0.39493,0.12832,0.21747,1.46494,,,,,,,,,,,,,,,,,,
152,Afghanistan,Southern Asia,153.0,3.575,0.03084,0.31982,0.30285,0.30335,0.23414,0.09719,0.3651,1.9521,,,,,,,,,,,,,,,,,,
153,Rwanda,Sub-Saharan Africa,154.0,3.465,0.03464,0.22208,0.7737,0.42864,0.59201,0.55191,0.22628,0.67042,,,,,,,,,,,,,,,,,,
154,Benin,Sub-Saharan Africa,155.0,3.34,0.03656,0.28665,0.35386,0.3191,0.4845,0.0801,0.1826,1.63328,,,,,,,,,,,,,,,,,,
155,Syria,Middle East and Northern Africa,156.0,3.006,0.05015,0.6632,0.47489,0.72193,0.15684,0.18906,0.47179,0.32858,,,,,,,,,,,,,,,,,,
156,Burundi,Sub-Saharan Africa,157.0,2.905,0.08658,0.0153,0.41587,0.22396,0.1185,0.10062,0.19727,1.83302,,,,,,,,,,,,,,,,,,
157,Togo,Sub-Saharan Africa,158.0,2.839,0.06727,0.20868,0.13995,0.28443,0.36453,0.10731,0.16681,1.56726,,,,,,,,,,,,,,,,,,
0,Denmark,Western Europe,1.0,7.526,,1.44178,1.16374,0.79504,0.57941,0.44453,0.36171,2.73939,7.46,7.592,,,,,,,,,,,,,,,,
1,Switzerland,Western Europe,2.0,7.509,,1.52733,1.14524,0.86303,0.58557,0.41203,0.28083,2.69463,7.428,7.59,,,,,,,,,,,,,,,,
2,Iceland,Western Europe,3.0,7.501,,1.42666,1.18326,0.86733,0.56624,0.14975,0.47678,2.83137,7.333,7.669,,,,,,,,,,,,,,,,
3,Norway,Western Europe,4.0,7.498,,1.57744,1.1269,0.79579,0.59609,0.35776,0.37895,2.66465,7.421,7.575,,,,,,,,,,,,,,,,
4,Finland,Western Europe,5.0,7.413,,1.40598,1.13464,0.81091,0.57104,0.41004,0.25492,2.82596,7.351,7.475,,,,,,,,,,,,,,,,
5,Canada,North America,6.0,7.404,,1.44015,1.0961,0.8276,0.5737,0.31329,0.44834,2.70485,7.335,7.473,,,,,,,,,,,,,,,,
6,Netherlands,Western Europe,7.0,7.339,,1.46468,1.02912,0.81231,0.55211,0.29927,0.47416,2.70749,7.284,7.394,,,,,,,,,,,,,,,,
7,New Zealand,Australia and New Zealand,8.0,7.334,,1.36066,1.17278,0.83096,0.58147,0.41904,0.49401,2.47553,7.264,7.404,,,,,,,,,,,,,,,,
8,Australia,Australia and New Zealand,9.0,7.313,,1.44443,1.10476,0.8512,0.56837,0.32331,0.47407,2.5465,7.241,7.385,,,,,,,,,,,,,,,,
9,Sweden,Western Europe,10.0,7.291,,1.45181,1.08764,0.83121,0.58218,0.40867,0.38254,2.54734,7.227,7.355,,,,,,,,,,,,,,,,
10,Israel,Middle East and Northern Africa,11.0,7.267,,1.33766,0.99537,0.84917,0.36432,0.08728,0.32288,3.31029,7.199,7.335,,,,,,,,,,,,,,,,
11,Austria,Western Europe,12.0,7.119,,1.45038,1.08383,0.80565,0.54355,0.21348,0.32865,2.69343,7.045,7.193,,,,,,,,,,,,,,,,
12,United States,North America,13.0,7.104,,1.50796,1.04782,0.779,0.48163,0.14868,0.41077,2.72782,7.02,7.188,,,,,,,,,,,,,,,,
13,Costa Rica,Latin America and Caribbean,14.0,7.087,,1.06879,1.02152,0.76146,0.55225,0.10547,0.22553,3.35168,6.999,7.175,,,,,,,,,,,,,,,,
14,Puerto Rico,Latin America and Caribbean,15.0,7.039,,1.35943,1.08113,0.77758,0.46823,0.12275,0.22202,3.0076,6.794,7.284,,,,,,,,,,,,,,,,
15,Germany,Western Europe,16.0,6.994,,1.44787,1.09774,0.81487,0.53466,0.28551,0.30452,2.50931,6.93,7.058,,,,,,,,,,,,,,,,
16,Brazil,Latin America and Caribbean,17.0,6.952,,1.08754,1.03938,0.61415,0.40425,0.14166,0.15776,3.50733,6.875,7.029,,,,,,,,,,,,,,,,
17,Belgium,Western Europe,18.0,6.929,,1.42539,1.05249,0.81959,0.51354,0.26248,0.2424,2.61355,6.861,6.997,,,,,,,,,,,,,,,,
18,Ireland,Western Europe,19.0,6.907,,1.48341,1.16157,0.81455,0.54008,0.29754,0.44963,2.15988,6.836,6.978,,,,,,,,,,,,,,,,
19,Luxembourg,Western Europe,20.0,6.871,,1.69752,1.03999,0.84542,0.5487,0.35329,0.27571,2.11055,6.804,6.938,,,,,,,,,,,,,,,,
20,Mexico,Latin America and Caribbean,21.0,6.778,,1.11508,0.7146,0.71143,0.37709,0.18355,0.11735,3.55906,6.68,6.876,,,,,,,,,,,,,,,,
21,Singapore,Southeastern Asia,22.0,6.739,,1.64555,0.86758,0.94719,0.4877,0.46987,0.32706,1.99375,6.674,6.804,,,,,,,,,,,,,,,,
22,United Kingdom,Western Europe,23.0,6.725,,1.40283,1.08672,0.80991,0.50036,0.27399,0.50156,2.14999,6.647,6.803,,,,,,,,,,,,,,,,
23,Chile,Latin America and Caribbean,24.0,6.705,,1.2167,0.90587,0.81883,0.37789,0.11451,0.31595,2.95505,6.615,6.795,,,,,,,,,,,,,,,,
24,Panama,Latin America and Caribbean,25.0,6.701,,1.18306,0.98912,0.70835,0.48927,0.08423,0.2418,3.00559,6.601,6.801,,,,,,,,,,,,,,,,
25,Argentina,Latin America and Caribbean,26.0,6.65,,1.15137,1.06612,0.69711,0.42284,0.07296,0.10989,3.12985,6.56,6.74,,,,,,,,,,,,,,,,
26,Czech Republic,Central and Eastern Europe,27.0,6.596,,1.30915,1.00793,0.76376,0.41418,0.03986,0.09929,2.96211,6.515,6.677,,,,,,,,,,,,,,,,
27,United Arab Emirates,Middle East and Northern Africa,28.0,6.573,,1.57352,0.87114,0.72993,0.56215,0.35561,0.26591,2.21507,6.494,6.652,,,,,,,,,,,,,,,,
28,Uruguay,Latin America and Caribbean,29.0,6.545,,1.18157,1.03143,0.72183,0.54388,0.21394,0.18056,2.67139,6.456,6.634,,,,,,,,,,,,,,,,
29,Malta,Western Europe,30.0,6.488,,1.30782,1.09879,0.80315,0.54994,0.17554,0.56237,1.99032,6.409,6.567,,,,,,,,,,,,,,,,
30,Colombia,Latin America and Caribbean,31.0,6.481,,1.03032,1.02169,0.59659,0.44735,0.05399,0.15626,3.17471,6.384,6.578,,,,,,,,,,,,,,,,
31,France,Western Europe,32.0,6.478,,1.39488,1.00508,0.83795,0.46562,0.17808,0.1216,2.4744,6.397,6.559,,,,,,,,,,,,,,,,
32,Thailand,Southeastern Asia,33.0,6.474,,1.0893,1.04477,0.64915,0.49553,0.02833,0.58696,2.5796,6.396,6.552,,,,,,,,,,,,,,,,
33,Saudi Arabia,Middle East and Northern Africa,34.0,6.379,,1.48953,0.84829,0.59267,0.37904,0.30008,0.15457,2.61482,6.287,6.471,,,,,,,,,,,,,,,,
34,Taiwan,Eastern Asia,34.0,6.379,,1.39729,0.92624,0.79565,0.32377,0.0663,0.25495,2.61523,6.305,6.453,,,,,,,,,,,,,,,,
35,Qatar,Middle East and Northern Africa,36.0,6.375,,1.82427,0.87964,0.71723,0.56679,0.48049,0.32388,1.58224,6.178,6.572,,,,,,,,,,,,,,,,
36,Spain,Western Europe,37.0,6.361,,1.34253,1.12945,0.87896,0.37545,0.06137,0.17665,2.39663,6.288,6.434,,,,,,,,,,,,,,,,
37,Algeria,Middle East and Northern Africa,38.0,6.355,,1.05266,0.83309,0.61804,0.21006,0.16157,0.07044,3.40904,6.227,6.483,,,,,,,,,,,,,,,,
38,Guatemala,Latin America and Caribbean,39.0,6.324,,0.83454,0.87119,0.54039,0.50379,0.08701,0.28808,3.19863,6.213,6.435,,,,,,,,,,,,,,,,
39,Suriname,Latin America and Caribbean,40.0,6.269,,1.09686,0.77866,0.50933,0.52234,0.12692,0.16665,3.06852,6.073,6.465,,,,,,,,,,,,,,,,
40,Kuwait,Middle East and Northern Africa,41.0,6.239,,1.61714,0.87758,0.63569,0.43166,0.23669,0.15965,2.28085,6.154,6.324,,,,,,,,,,,,,,,,
41,Bahrain,Middle East and Northern Africa,42.0,6.218,,1.44024,0.94397,0.65696,0.47375,0.25772,0.17147,2.27405,6.128,6.308,,,,,,,,,,,,,,,,
42,Trinidad and Tobago,Latin America and Caribbean,43.0,6.168,,1.32572,0.98569,0.52608,0.48453,0.01241,0.31935,2.51394,5.95,6.386,,,,,,,,,,,,,,,,
43,Venezuela,Latin America and Caribbean,44.0,6.084,,1.13367,1.03302,0.61904,0.19847,0.08304,0.0425,2.97468,5.973,6.195,,,,,,,,,,,,,,,,
44,Slovakia,Central and Eastern Europe,45.0,6.078,,1.27973,1.08268,0.70367,0.23391,0.02947,0.13837,2.61065,5.996,6.16,,,,,,,,,,,,,,,,
45,El Salvador,Latin America and Caribbean,46.0,6.068,,0.8737,0.80975,0.596,0.37269,0.10613,0.08877,3.22134,5.967,6.169,,,,,,,,,,,,,,,,
46,Malaysia,Southeastern Asia,47.0,6.005,,1.25142,0.88025,0.62366,0.39031,0.09081,0.41474,2.35384,5.921,6.089,,,,,,,,,,,,,,,,
47,Nicaragua,Latin America and Caribbean,48.0,5.992,,0.69384,0.89521,0.65213,0.46582,0.16292,0.29773,2.82428,5.877,6.107,,,,,,,,,,,,,,,,
48,Uzbekistan,Central and Eastern Europe,49.0,5.987,,0.73591,1.1681,0.50163,0.60848,0.28333,0.34326,2.34638,5.896,6.078,,,,,,,,,,,,,,,,
49,Italy,Western Europe,50.0,5.977,,1.35495,1.04167,0.85102,0.18827,0.02556,0.16684,2.34918,5.898,6.056,,,,,,,,,,,,,,,,
50,Ecuador,Latin America and Caribbean,51.0,5.976,,0.97306,0.85974,0.68613,0.4027,0.18037,0.10074,2.77366,5.88,6.072,,,,,,,,,,,,,,,,
51,Belize,Latin America and Caribbean,52.0,5.956,,0.87616,0.68655,0.45569,0.51231,0.10771,0.23684,3.08039,5.71,6.202,,,,,,,,,,,,,,,,
52,Japan,Eastern Asia,53.0,5.921,,1.38007,1.06054,0.91491,0.46761,0.18985,0.10224,1.80584,5.85,5.992,,,,,,,,,,,,,,,,
53,Kazakhstan,Central and Eastern Europe,54.0,5.919,,1.22943,0.95544,0.57386,0.4052,0.11132,0.15011,2.49325,5.837,6.001,,,,,,,,,,,,,,,,
54,Moldova,Central and Eastern Europe,55.0,5.897,,0.69177,0.83132,0.52309,0.25202,0.01903,0.19997,3.38007,5.823,5.971,,,,,,,,,,,,,,,,
55,Russia,Central and Eastern Europe,56.0,5.856,,1.23228,1.05261,0.58991,0.32682,0.03586,0.02736,2.59115,5.789,5.923,,,,,,,,,,,,,,,,
56,Poland,Central and Eastern Europe,57.0,5.835,,1.24585,1.04685,0.69058,0.4519,0.055,0.14443,2.20035,5.749,5.921,,,,,,,,,,,,,,,,
57,South Korea,Eastern Asia,57.0,5.835,,1.35948,0.72194,0.88645,0.25168,0.07716,0.18824,2.35015,5.747,5.923,,,,,,,,,,,,,,,,
58,Bolivia,Latin America and Caribbean,59.0,5.822,,0.79422,0.83779,0.4697,0.50961,0.07746,0.21698,2.91635,5.74,5.904,,,,,,,,,,,,,,,,
59,Lithuania,Central and Eastern Europe,60.0,5.813,,1.2692,1.06411,0.64674,0.18929,0.0182,0.02025,2.60525,5.734,5.892,,,,,,,,,,,,,,,,
60,Belarus,Central and Eastern Europe,61.0,5.802,,1.13062,1.04993,0.63104,0.29091,0.17457,0.13942,2.38582,5.723,5.881,,,,,,,,,,,,,,,,
61,North Cyprus,Western Europe,62.0,5.771,,1.31141,0.81826,0.84142,0.43596,0.16578,0.26322,1.93447,5.67,5.872,,,,,,,,,,,,,,,,
62,Slovenia,Central and Eastern Europe,63.0,5.768,,1.29947,1.05613,0.79151,0.53164,0.03635,0.25738,1.79522,5.683,5.853,,,,,,,,,,,,,,,,
63,Peru,Latin America and Caribbean,64.0,5.743,,0.99602,0.81255,0.62994,0.37502,0.05292,0.14527,2.73117,5.647,5.839,,,,,,,,,,,,,,,,
64,Turkmenistan,Central and Eastern Europe,65.0,5.658,,1.08017,1.03817,0.44006,0.37408,0.28467,0.22567,2.21489,5.58,5.736,,,,,,,,,,,,,,,,
65,Mauritius,Sub-Saharan Africa,66.0,5.648,,1.14372,0.75695,0.66189,0.46145,0.05203,0.36951,2.20223,5.507,5.789,,,,,,,,,,,,,,,,
66,Libya,Middle East and Northern Africa,67.0,5.615,,1.06688,0.95076,0.52304,0.40672,0.10339,0.17087,2.39374,5.406,5.824,,,,,,,,,,,,,,,,
67,Latvia,Central and Eastern Europe,68.0,5.56,,1.21788,0.95025,0.63952,0.27996,0.0889,0.17445,2.20859,5.486,5.634,,,,,,,,,,,,,,,,
68,Cyprus,Western Europe,69.0,5.546,,1.31857,0.70697,0.8488,0.29507,0.05228,0.27906,2.04497,5.442,5.65,,,,,,,,,,,,,,,,
69,Paraguay,Latin America and Caribbean,70.0,5.538,,0.89373,1.11111,0.58295,0.46235,0.07396,0.25296,2.16091,5.453,5.623,,,,,,,,,,,,,,,,
70,Romania,Central and Eastern Europe,71.0,5.528,,1.1697,0.72803,0.67602,0.36712,0.00679,0.12889,2.45184,5.427,5.629,,,,,,,,,,,,,,,,
71,Estonia,Central and Eastern Europe,72.0,5.517,,1.27964,1.05163,0.68098,0.41511,0.18519,0.08423,1.81985,5.437,5.597,,,,,,,,,,,,,,,,
72,Jamaica,Latin America and Caribbean,73.0,5.51,,0.89333,0.96372,0.59469,0.43597,0.04294,0.22245,2.35682,5.315,5.705,,,,,,,,,,,,,,,,
73,Croatia,Central and Eastern Europe,74.0,5.488,,1.18649,0.60809,0.70524,0.23907,0.04002,0.18434,2.52462,5.402,5.574,,,,,,,,,,,,,,,,
74,Hong Kong,Eastern Asia,75.0,5.458,,1.5107,0.87021,0.95277,0.48079,0.31647,0.40097,0.92614,5.362,5.554,,,,,,,,,,,,,,,,
75,Somalia,Sub-Saharan Africa,76.0,5.44,,0.0,0.33613,0.11466,0.56778,0.3118,0.27225,3.83772,5.321,5.559,,,,,,,,,,,,,,,,
76,Kosovo,Central and Eastern Europe,77.0,5.401,,0.90145,0.66062,0.54,0.14396,0.06547,0.27992,2.80998,5.308,5.494,,,,,,,,,,,,,,,,
77,Turkey,Middle East and Northern Africa,78.0,5.389,,1.16492,0.87717,0.64718,0.23889,0.12348,0.04707,2.29074,5.295,5.483,,,,,,,,,,,,,,,,
78,Indonesia,Southeastern Asia,79.0,5.314,,0.95104,0.87625,0.49374,0.39237,0.00322,0.56521,2.03171,5.237,5.391,,,,,,,,,,,,,,,,
79,Jordan,Middle East and Northern Africa,80.0,5.303,,0.99673,0.86216,0.60712,0.36023,0.13297,0.14262,2.20142,5.187,5.419,,,,,,,,,,,,,,,,
80,Azerbaijan,Central and Eastern Europe,81.0,5.291,,1.12373,0.76042,0.54504,0.35327,0.17914,0.0564,2.2735,5.226,5.356,,,,,,,,,,,,,,,,
81,Philippines,Southeastern Asia,82.0,5.279,,0.81217,0.87877,0.47036,0.54854,0.11757,0.21674,2.23484,5.16,5.398,,,,,,,,,,,,,,,,
82,China,Eastern Asia,83.0,5.245,,1.0278,0.79381,0.73561,0.44012,0.02745,0.04959,2.17087,5.199,5.291,,,,,,,,,,,,,,,,
83,Bhutan,Southern Asia,84.0,5.196,,0.8527,0.90836,0.49759,0.46074,0.1616,0.48546,1.82916,5.138,5.254,,,,,,,,,,,,,,,,
84,Kyrgyzstan,Central and Eastern Europe,85.0,5.185,,0.56044,0.95434,0.55449,0.40212,0.04762,0.38432,2.28136,5.103,5.267,,,,,,,,,,,,,,,,
85,Serbia,Central and Eastern Europe,86.0,5.177,,1.03437,0.81329,0.6458,0.15718,0.04339,0.20737,2.27539,5.083,5.271,,,,,,,,,,,,,,,,
86,Bosnia and Herzegovina,Central and Eastern Europe,87.0,5.163,,0.93383,0.64367,0.70766,0.09511,0.0,0.29889,2.48406,5.063,5.263,,,,,,,,,,,,,,,,
87,Montenegro,Central and Eastern Europe,88.0,5.161,,1.07838,0.74173,0.63533,0.15111,0.12721,0.17191,2.25531,5.055,5.267,,,,,,,,,,,,,,,,
88,Dominican Republic,Latin America and Caribbean,89.0,5.155,,1.02787,0.99496,0.57669,0.52259,0.12372,0.21286,1.69626,5.037,5.273,,,,,,,,,,,,,,,,
89,Morocco,Middle East and Northern Africa,90.0,5.151,,0.84058,0.38595,0.59471,0.25646,0.08404,0.04053,2.94891,5.058,5.244,,,,,,,,,,,,,,,,
90,Hungary,Central and Eastern Europe,91.0,5.145,,1.24142,0.93164,0.67608,0.1977,0.04472,0.099,1.95473,5.056,5.234,,,,,,,,,,,,,,,,
91,Pakistan,Southern Asia,92.0,5.132,,0.68816,0.26135,0.40306,0.14622,0.1388,0.31185,3.18286,5.038,5.226,,,,,,,,,,,,,,,,
92,Lebanon,Middle East and Northern Africa,93.0,5.129,,1.12268,0.64184,0.76171,0.26228,0.03061,0.23693,2.07339,5.031,5.227,,,,,,,,,,,,,,,,
93,Portugal,Western Europe,94.0,5.123,,1.27607,0.94367,0.79363,0.44727,0.01521,0.11691,1.53015,5.03,5.216,,,,,,,,,,,,,,,,
94,Macedonia,Central and Eastern Europe,95.0,5.121,,1.0193,0.78236,0.64738,0.27668,0.07047,0.23507,2.08947,5.017,5.225,,,,,,,,,,,,,,,,
95,Vietnam,Southeastern Asia,96.0,5.061,,0.74037,0.79117,0.66157,0.55954,0.11556,0.25075,1.9418,4.991,5.131,,,,,,,,,,,,,,,,
96,Somaliland Region,Sub-Saharan Africa,97.0,5.057,,0.25558,0.75862,0.33108,0.3913,0.36794,0.51479,2.43801,4.934,5.18,,,,,,,,,,,,,,,,
97,Tunisia,Middle East and Northern Africa,98.0,5.045,,0.97724,0.43165,0.59577,0.23553,0.0817,0.03936,2.68413,4.965,5.125,,,,,,,,,,,,,,,,
98,Greece,Western Europe,99.0,5.033,,1.24886,0.75473,0.80029,0.05822,0.04127,0.0,2.12944,4.935,5.131,,,,,,,,,,,,,,,,
99,Tajikistan,Central and Eastern Europe,100.0,4.996,,0.48835,0.75602,0.53119,0.43408,0.13509,0.25998,2.39106,4.923,5.069,,,,,,,,,,,,,,,,
100,Mongolia,Eastern Asia,101.0,4.907,,0.98853,1.08983,0.55469,0.35972,0.03285,0.34539,1.53586,4.838,4.976,,,,,,,,,,,,,,,,
101,Laos,Southeastern Asia,102.0,4.876,,0.68042,0.5497,0.38291,0.52168,0.22423,0.43079,2.08637,4.742,5.01,,,,,,,,,,,,,,,,
102,Nigeria,Sub-Saharan Africa,103.0,4.875,,0.75216,0.64498,0.05108,0.27854,0.0305,0.23219,2.88586,4.75,5.0,,,,,,,,,,,,,,,,
103,Honduras,Latin America and Caribbean,104.0,4.871,,0.69429,0.75596,0.58383,0.26755,0.06906,0.2044,2.29551,4.75,4.992,,,,,,,,,,,,,,,,
104,Iran,Middle East and Northern Africa,105.0,4.813,,1.11758,0.38857,0.64232,0.22544,0.0557,0.38538,1.99817,4.703,4.923,,,,,,,,,,,,,,,,
105,Zambia,Sub-Saharan Africa,106.0,4.795,,0.61202,0.6376,0.23573,0.42662,0.11479,0.17866,2.58991,4.645,4.945,,,,,,,,,,,,,,,,
106,Nepal,Southern Asia,107.0,4.793,,0.44626,0.69699,0.50073,0.37012,0.07008,0.3816,2.32694,4.698,4.888,,,,,,,,,,,,,,,,
107,Palestinian Territories,Middle East and Northern Africa,108.0,4.754,,0.67024,0.71629,0.56844,0.17744,0.10613,0.11154,2.40364,4.649,4.859,,,,,,,,,,,,,,,,
108,Albania,Central and Eastern Europe,109.0,4.655,,0.9553,0.50163,0.73007,0.31866,0.05301,0.1684,1.92816,4.546,4.764,,,,,,,,,,,,,,,,
109,Bangladesh,Southern Asia,110.0,4.643,,0.54177,0.24749,0.52989,0.39778,0.12583,0.19132,2.60904,4.56,4.726,,,,,,,,,,,,,,,,
110,Sierra Leone,Sub-Saharan Africa,111.0,4.635,,0.36485,0.628,0.0,0.30685,0.08196,0.23897,3.01402,4.505,4.765,,,,,,,,,,,,,,,,
111,Iraq,Middle East and Northern Africa,112.0,4.575,,1.07474,0.59205,0.51076,0.24856,0.13636,0.19589,1.81657,4.446,4.704,,,,,,,,,,,,,,,,
112,Namibia,Sub-Saharan Africa,113.0,4.574,,0.93287,0.70362,0.34745,0.48614,0.10398,0.07795,1.92198,4.374,4.774,,,,,,,,,,,,,,,,
113,Cameroon,Sub-Saharan Africa,114.0,4.513,,0.52497,0.62542,0.12698,0.42736,0.06126,0.2268,2.5198,4.417,4.609,,,,,,,,,,,,,,,,
114,Ethiopia,Sub-Saharan Africa,115.0,4.508,,0.29283,0.37932,0.34578,0.36703,0.1717,0.29522,2.65614,4.425,4.591,,,,,,,,,,,,,,,,
115,South Africa,Sub-Saharan Africa,116.0,4.459,,1.02416,0.96053,0.18611,0.42483,0.08415,0.13656,1.64227,4.371,4.547,,,,,,,,,,,,,,,,
116,Sri Lanka,Southern Asia,117.0,4.415,,0.97318,0.84783,0.62007,0.50817,0.07964,0.46978,0.91681,4.322,4.508,,,,,,,,,,,,,,,,
117,India,Southern Asia,118.0,4.404,,0.74036,0.29247,0.45091,0.40285,0.08722,0.25028,2.18032,4.351,4.457,,,,,,,,,,,,,,,,
118,Myanmar,Southeastern Asia,119.0,4.395,,0.34112,0.69981,0.3988,0.42692,0.20243,0.81971,1.50655,4.327,4.463,,,,,,,,,,,,,,,,
119,Egypt,Middle East and Northern Africa,120.0,4.362,,0.95395,0.49813,0.52116,0.18847,0.10393,0.12706,1.96895,4.259,4.465,,,,,,,,,,,,,,,,
120,Armenia,Central and Eastern Europe,121.0,4.36,,0.86086,0.62477,0.64083,0.14037,0.03616,0.07793,1.97864,4.266,4.454,,,,,,,,,,,,,,,,
121,Kenya,Sub-Saharan Africa,122.0,4.356,,0.52267,0.7624,0.30147,0.40576,0.06686,0.41328,1.88326,4.259,4.453,,,,,,,,,,,,,,,,
122,Ukraine,Central and Eastern Europe,123.0,4.324,,0.87287,1.01413,0.58628,0.12859,0.01829,0.20363,1.50066,4.236,4.412,,,,,,,,,,,,,,,,
123,Ghana,Sub-Saharan Africa,124.0,4.276,,0.63107,0.49353,0.29681,0.40973,0.0326,0.21203,2.2002,4.185,4.367,,,,,,,,,,,,,,,,
124,Congo (Kinshasa),Sub-Saharan Africa,125.0,4.272,,0.05661,0.80676,0.188,0.15602,0.06075,0.25458,2.74924,4.191,4.353,,,,,,,,,,,,,,,,
125,Georgia,Central and Eastern Europe,126.0,4.252,,0.83792,0.19249,0.64035,0.32461,0.3188,0.06786,1.87031,4.164,4.34,,,,,,,,,,,,,,,,
126,Congo (Brazzaville),Sub-Saharan Africa,127.0,4.236,,0.77109,0.47799,0.28212,0.37938,0.09753,0.12077,2.10681,4.107,4.365,,,,,,,,,,,,,,,,
127,Senegal,Sub-Saharan Africa,128.0,4.219,,0.44314,0.77416,0.40457,0.31056,0.11681,0.19103,1.97861,4.151,4.287,,,,,,,,,,,,,,,,
128,Bulgaria,Central and Eastern Europe,129.0,4.217,,1.11306,0.92542,0.67806,0.21219,0.00615,0.12793,1.15377,4.104,4.33,,,,,,,,,,,,,,,,
129,Mauritania,Sub-Saharan Africa,130.0,4.201,,0.61391,0.84142,0.28639,0.1268,0.17955,0.22686,1.9263,4.127,4.275,,,,,,,,,,,,,,,,
130,Zimbabwe,Sub-Saharan Africa,131.0,4.193,,0.35041,0.71478,0.1595,0.25429,0.08582,0.18503,2.4427,4.101,4.285,,,,,,,,,,,,,,,,
131,Malawi,Sub-Saharan Africa,132.0,4.156,,0.08709,0.147,0.29364,0.4143,0.07564,0.30968,2.82859,4.041,4.271,,,,,,,,,,,,,,,,
132,Sudan,Sub-Saharan Africa,133.0,4.139,,0.63069,0.81928,0.29759,0.0,0.10039,0.18077,2.10995,3.928,4.35,,,,,,,,,,,,,,,,
133,Gabon,Sub-Saharan Africa,134.0,4.121,,1.15851,0.72368,0.3494,0.28098,0.09314,0.06244,1.45332,4.03,4.212,,,,,,,,,,,,,,,,
134,Mali,Sub-Saharan Africa,135.0,4.073,,0.31292,0.86333,0.16347,0.27544,0.13647,0.21064,2.11087,3.988,4.158,,,,,,,,,,,,,,,,
135,Haiti,Latin America and Caribbean,136.0,4.028,,0.34097,0.29561,0.27494,0.12072,0.14476,0.47958,2.37116,3.893,4.163,,,,,,,,,,,,,,,,
136,Botswana,Sub-Saharan Africa,137.0,3.974,,1.09426,0.89186,0.34752,0.44089,0.10769,0.12425,0.96741,3.875,4.073,,,,,,,,,,,,,,,,
137,Comoros,Sub-Saharan Africa,138.0,3.956,,0.27509,0.60323,0.29981,0.15412,0.18437,0.1827,2.25632,3.86,4.052,,,,,,,,,,,,,,,,
138,Ivory Coast,Sub-Saharan Africa,139.0,3.916,,0.55507,0.57576,0.04476,0.40663,0.1553,0.20338,1.97478,3.826,4.006,,,,,,,,,,,,,,,,
139,Cambodia,Southeastern Asia,140.0,3.907,,0.55604,0.5375,0.42494,0.58852,0.08092,0.40339,1.31573,3.798,4.016,,,,,,,,,,,,,,,,
140,Angola,Sub-Saharan Africa,141.0,3.866,,0.84731,0.66366,0.04991,0.00589,0.08434,0.12071,2.09459,3.753,3.979,,,,,,,,,,,,,,,,
141,Niger,Sub-Saharan Africa,142.0,3.856,,0.1327,0.6053,0.26162,0.38041,0.17176,0.2097,2.09469,3.781,3.931,,,,,,,,,,,,,,,,
142,South Sudan,Sub-Saharan Africa,143.0,3.832,,0.39394,0.18519,0.15781,0.19662,0.13015,0.25899,2.50929,3.596,4.068,,,,,,,,,,,,,,,,
143,Chad,Sub-Saharan Africa,144.0,3.763,,0.42214,0.63178,0.03824,0.12807,0.04952,0.18667,2.30637,3.672,3.854,,,,,,,,,,,,,,,,
144,Burkina Faso,Sub-Saharan Africa,145.0,3.739,,0.31995,0.63054,0.21297,0.3337,0.12533,0.24353,1.87319,3.647,3.831,,,,,,,,,,,,,,,,
145,Uganda,Sub-Saharan Africa,145.0,3.739,,0.34719,0.90981,0.19625,0.43653,0.06442,0.27102,1.51416,3.629,3.849,,,,,,,,,,,,,,,,
146,Yemen,Middle East and Northern Africa,147.0,3.724,,0.57939,0.47493,0.31048,0.2287,0.05892,0.09821,1.97295,3.621,3.827,,,,,,,,,,,,,,,,
147,Madagascar,Sub-Saharan Africa,148.0,3.695,,0.27954,0.46115,0.37109,0.13684,0.07506,0.2204,2.15075,3.621,3.769,,,,,,,,,,,,,,,,
148,Tanzania,Sub-Saharan Africa,149.0,3.666,,0.47155,0.77623,0.357,0.3176,0.05099,0.31472,1.37769,3.561,3.771,,,,,,,,,,,,,,,,
149,Liberia,Sub-Saharan Africa,150.0,3.622,,0.10706,0.50353,0.23165,0.25748,0.04852,0.24063,2.23284,3.463,3.781,,,,,,,,,,,,,,,,
150,Guinea,Sub-Saharan Africa,151.0,3.607,,0.22415,0.3109,0.18829,0.30953,0.1192,0.29914,2.15604,3.533,3.681,,,,,,,,,,,,,,,,
151,Rwanda,Sub-Saharan Africa,152.0,3.515,,0.32846,0.61586,0.31865,0.5432,0.50521,0.23552,0.96819,3.444,3.586,,,,,,,,,,,,,,,,
152,Benin,Sub-Saharan Africa,153.0,3.484,,0.39499,0.10419,0.21028,0.39747,0.06681,0.2018,2.10812,3.404,3.564,,,,,,,,,,,,,,,,
153,Afghanistan,Southern Asia,154.0,3.36,,0.38227,0.11037,0.17344,0.1643,0.07112,0.31268,2.14558,3.288,3.432,,,,,,,,,,,,,,,,
154,Togo,Sub-Saharan Africa,155.0,3.303,,0.28123,0.0,0.24811,0.34678,0.11587,0.17517,2.1354,3.192,3.414,,,,,,,,,,,,,,,,
155,Syria,Middle East and Northern Africa,156.0,3.069,,0.74719,0.14866,0.62994,0.06912,0.17233,0.48397,0.81789,2.936,3.202,,,,,,,,,,,,,,,,
156,Burundi,Sub-Saharan Africa,157.0,2.905,,0.06831,0.23442,0.15747,0.0432,0.09419,0.2029,2.10404,2.732,3.078,,,,,,,,,,,,,,,,
0,Norway,,,,,,1.53352355957031,,0.635422587394714,,0.36201223731041,,,,1.0,7.53700017929077,7.59444482058287,7.47955553799868,1.61646318435669,0.796666502952576,0.315963834524155,2.27702665328979,,,,,,,,
1,Denmark,,,,,,1.55112159252167,,0.626006722450256,,0.355280488729477,,,,2.0,7.52199983596802,7.58172806486487,7.46227160707116,1.48238301277161,0.792565524578094,0.40077006816864,2.31370735168457,,,,,,,,
2,Iceland,,,,,,1.6105740070343,,0.627162635326385,,0.475540220737457,,,,3.0,7.50400018692017,7.62203047305346,7.38596990078688,1.480633020401,0.833552122116089,0.153526559472084,2.32271528244019,,,,,,,,
3,Switzerland,,,,,,1.51691174507141,,0.620070576667786,,0.290549278259277,,,,4.0,7.49399995803833,7.56177242040634,7.42622749567032,1.56497955322266,0.858131289482117,0.367007285356522,2.2767162322998,,,,,,,,
4,Finland,,,,,,1.5402467250824,,0.617950856685638,,0.24548277258873,,,,5.0,7.4689998626709,7.52754207581282,7.41045764952898,1.44357192516327,0.80915766954422,0.38261154294014,2.4301815032959,,,,,,,,
5,Netherlands,,,,,,1.42893922328949,,0.585384488105774,,0.470489829778671,,,,6.0,7.3769998550415,7.42742584124207,7.32657386884093,1.50394463539124,0.810696125030518,0.282661825418472,2.29480409622192,,,,,,,,
6,Canada,,,,,,1.48134899139404,,0.611100912094116,,0.435539722442627,,,,7.0,7.31599998474121,7.38440283536911,7.24759713411331,1.47920441627502,0.83455765247345,0.287371516227722,2.18726444244385,,,,,,,,
7,New Zealand,,,,,,1.54819512367249,,0.614062130451202,,0.500005125999451,,,,8.0,7.31400012969971,7.3795104418695,7.24848981752992,1.40570604801178,0.816759705543518,0.382816702127457,2.0464563369751,,,,,,,,
8,Sweden,,,,,,1.47816216945648,,0.612924098968506,,0.385399252176285,,,,9.0,7.28399991989136,7.34409487739205,7.22390496239066,1.49438726902008,0.830875158309937,0.384398728609085,2.09753799438477,,,,,,,,
9,Australia,,,,,,1.51004195213318,,0.601607382297516,,0.477699249982834,,,,10.0,7.28399991989136,7.35665122494102,7.2113486148417,1.484414935112,0.84388679265976,0.301183730363846,2.06521081924438,,,,,,,,
10,Israel,,,,,,1.37628996372223,,0.405988603830338,,0.330082654953003,,,,11.0,7.21299982070923,7.27985325649381,7.14614638492465,1.37538242340088,0.83840399980545,0.0852421000599861,2.80175733566284,,,,,,,,
11,Costa Rica,,,,,,1.41640365123749,,0.580131649971008,,0.214613229036331,,,,12.0,7.0789999961853,7.16811166629195,6.98988832607865,1.10970628261566,0.759509265422821,0.100106589496136,2.89863920211792,,,,,,,,
12,Austria,,,,,,1.4599449634552,,0.567766189575195,,0.316472321748734,,,,13.0,7.00600004196167,7.07066981211305,6.94133027181029,1.48709726333618,0.815328419208527,0.221060365438461,2.1385064125061,,,,,,,,
13,United States,,,,,,1.41992056369781,,0.505740523338318,,0.392578780651093,,,,14.0,6.99300003051758,7.07465674757957,6.91134331345558,1.54625928401947,0.77428662776947,0.135638788342476,2.2181134223938,,,,,,,,
14,Ireland,,,,,,1.55823111534119,,0.573110342025757,,0.42785832285881,,,,15.0,6.97700023651123,7.04335166752338,6.91064880549908,1.53570663928986,0.80978262424469,0.29838815331459,1.77386903762817,,,,,,,,
15,Germany,,,,,,1.47252035140991,,0.562511384487152,,0.336269170045853,,,,16.0,6.95100021362305,7.00538156926632,6.89661885797977,1.48792338371277,0.798950731754303,0.276731938123703,2.01576995849609,,,,,,,,
16,Belgium,,,,,,1.46231269836426,,0.539770722389221,,0.231503337621689,,,,17.0,6.89099979400635,6.95582075044513,6.82617883756757,1.46378076076508,0.818091869354248,0.251343131065369,2.12421035766602,,,,,,,,
17,Luxembourg,,,,,,1.45758366584778,,0.59662789106369,,0.283180981874466,,,,18.0,6.86299991607666,6.92368609987199,6.80231373228133,1.74194359779358,0.845089495182037,0.31883442401886,1.61951208114624,,,,,,,,
18,United Kingdom,,,,,,1.49646008014679,,0.508190035820007,,0.492774158716202,,,,19.0,6.71400022506714,6.78379176110029,6.64420868903399,1.44163393974304,0.805335938930511,0.265428066253662,1.70414352416992,,,,,,,,
19,Chile,,,,,,1.28402495384216,,0.376895278692245,,0.326662421226501,,,,20.0,6.65199995040894,6.73925056010485,6.56474934071302,1.25278460979462,0.819479703903198,0.0822879821062088,2.50958585739136,,,,,,,,
20,United Arab Emirates,,,,,,1.26641023159027,,0.60834527015686,,0.3609419465065,,,,21.0,6.64799976348877,6.72204730376601,6.57395222321153,1.62634336948395,0.726798236370087,0.324489563703537,1.734703540802,,,,,,,,
21,Brazil,,,,,,1.43130600452423,,0.437453746795654,,0.16234989464283,,,,22.0,6.63500022888184,6.72546950161457,6.5445309561491,1.10735321044922,0.616552352905273,0.111092761158943,2.76926708221436,,,,,,,,
22,Czech Republic,,,,,,1.43388521671295,,0.490946173667908,,0.0881067588925362,,,,23.0,6.60900020599365,6.68386246263981,6.5341379493475,1.35268235206604,0.754444003105164,0.0368729270994663,2.45186185836792,,,,,,,,
23,Argentina,,,,,,1.44045114517212,,0.494519203901291,,0.109457060694695,,,,24.0,6.59899997711182,6.69008508607745,6.50791486814618,1.18529546260834,0.695137083530426,0.059739887714386,2.61400532722473,,,,,,,,
24,Mexico,,,,,,1.210862159729,,0.412730008363724,,0.120990432798862,,,,25.0,6.57800006866455,6.67114890769124,6.48485122963786,1.15318381786346,0.709978997707367,0.132774114608765,2.83715486526489,,,,,,,,
25,Singapore,,,,,,1.35381436347961,,0.549840569496155,,0.345965981483459,,,,26.0,6.57200002670288,6.63672306910157,6.50727698430419,1.69227766990662,0.949492394924164,0.46430778503418,1.21636199951172,,,,,,,,
26,Malta,,,,,,1.48841166496277,,0.588767051696777,,0.574730575084686,,,,27.0,6.52699995040894,6.59839677289128,6.45560312792659,1.34327983856201,0.821944236755371,0.153066068887711,1.55686283111572,,,,,,,,
27,Uruguay,,,,,,1.41222786903381,,0.57939225435257,,0.175096929073334,,,,28.0,6.4539999961853,6.54590621769428,6.36209377467632,1.21755969524384,0.719216823577881,0.178061872720718,2.17240953445435,,,,,,,,
28,Guatemala,,,,,,1.25558519363403,,0.531310617923737,,0.283488392829895,,,,29.0,6.4539999961853,6.56687397271395,6.34112601965666,0.872001945972443,0.540239989757538,0.0772232785820961,2.89389109611511,,,,,,,,
29,Panama,,,,,,1.37319254875183,,0.550026834011078,,0.21055693924427,,,,30.0,6.4520001411438,6.55713071614504,6.34686956614256,1.23374843597412,0.706156134605408,0.070983923971653,2.30719995498657,,,,,,,,
30,France,,,,,,1.38777685165405,,0.470222115516663,,0.129762306809425,,,,31.0,6.44199991226196,6.51576780244708,6.36823202207685,1.43092346191406,0.844465851783752,0.172502428293228,2.00595474243164,,,,,,,,
31,Thailand,,,,,,1.42579245567322,,0.580200731754303,,0.572123110294342,,,,32.0,6.42399978637695,6.50911685571074,6.33888271704316,1.12786877155304,0.647239029407501,0.0316127352416515,2.03950834274292,,,,,,,,
32,Taiwan Province of China,,,,,,1.38456535339355,,0.361466586589813,,0.258360475301743,,,,33.0,6.42199993133545,6.49459602192044,6.34940384075046,1.43362653255463,0.793984234333038,0.0638292357325554,2.1266074180603,,,,,,,,
33,Spain,,,,,,1.53209090232849,,0.408781230449677,,0.190133571624756,,,,34.0,6.40299987792969,6.4710548453033,6.33494491055608,1.38439786434174,0.888960599899292,0.0709140971302986,1.92775774002075,,,,,,,,
34,Qatar,,,,,,1.27429687976837,,0.604130983352661,,0.330473870038986,,,,35.0,6.375,6.56847681432962,6.18152318567038,1.87076568603516,0.710098087787628,0.439299255609512,1.1454644203186,,,,,,,,
35,Colombia,,,,,,1.4021829366684,,0.477487415075302,,0.149014472961426,,,,36.0,6.35699987411499,6.45202005416155,6.26197969406843,1.07062232494354,0.595027923583984,0.0466687418520451,2.61606812477112,,,,,,,,
36,Saudi Arabia,,,,,,1.28667759895325,,0.449750572443008,,0.147616013884544,,,,37.0,6.3439998626709,6.44416661202908,6.24383311331272,1.53062355518341,0.590148329734802,0.27343225479126,2.0654296875,,,,,,,,
37,Trinidad and Tobago,,,,,,1.3802285194397,,0.518630743026733,,0.325296461582184,,,,38.0,6.16800022125244,6.38153389066458,5.95446655184031,1.36135590076447,0.519983291625977,0.0089648161083459,2.05324745178223,,,,,,,,
38,Kuwait,,,,,,1.25969874858856,,0.496337592601776,,0.228289797902107,,,,39.0,6.10500001907349,6.1919569888711,6.01804304927588,1.63295245170593,0.632105708122253,0.215159550309181,1.64042520523071,,,,,,,,
39,Slovakia,,,,,,1.50505924224854,,0.295817464590073,,0.136544480919838,,,,40.0,6.09800004959106,6.1773484121263,6.01865168705583,1.32539355754852,0.712732911109924,0.0242108516395092,2.09777665138245,,,,,,,,
40,Bahrain,,,,,,1.32311046123505,,0.536746919155121,,0.172668486833572,,,,41.0,6.08699989318848,6.17898906782269,5.99501071855426,1.48841226100922,0.653133034706116,0.257042169570923,1.65614938735962,,,,,,,,
41,Malaysia,,,,,,1.28464603424072,,0.402264982461929,,0.416608929634094,,,,42.0,6.08400011062622,6.17997963652015,5.98802058473229,1.29121541976929,0.618784427642822,0.0656007081270218,2.00444889068604,,,,,,,,
42,Nicaragua,,,,,,1.28721570968628,,0.447551846504211,,0.301674216985703,,,,43.0,6.07100009918213,6.18658360034227,5.95541659802198,0.737299203872681,0.653095960617065,0.130687981843948,2.51393055915833,,,,,,,,
43,Ecuador,,,,,,1.28616881370544,,0.4551981985569,,0.150112465023994,,,,44.0,6.00799989700317,6.10584767535329,5.91015211865306,1.00082039833069,0.685636222362518,0.140134647488594,2.29035258293152,,,,,,,,
44,El Salvador,,,,,,1.18212509155273,,0.432452529668808,,0.0782579854130745,,,,45.0,6.00299978256226,6.108635122329,5.89736444279552,0.909784495830536,0.596018552780151,0.0899809598922729,2.7145938873291,,,,,,,,
45,Poland,,,,,,1.44571197032928,,0.520342111587524,,0.158465966582298,,,,46.0,5.97300004959106,6.05390834122896,5.89209175795317,1.29178786277771,0.699475347995758,0.0593078061938286,1.79772281646729,,,,,,,,
46,Uzbekistan,,,,,,1.54896914958954,,0.658248662948608,,0.415983647108078,,,,47.0,5.97100019454956,6.06553757295012,5.876462816149,0.786441087722778,0.498272627592087,0.246528223156929,1.81691360473633,,,,,,,,
47,Italy,,,,,,1.44492328166962,,0.256450712680817,,0.17278964817524,,,,48.0,5.96400022506714,6.04273690596223,5.88526354417205,1.39506661891937,0.853144347667694,0.0280280914157629,1.81331205368042,,,,,,,,
48,Russia,,,,,,1.46928238868713,,0.373783111572266,,0.0522638224065304,,,,49.0,5.96299982070923,6.03027490749955,5.89572473391891,1.28177809715271,0.547349333763123,0.0329628810286522,2.20560741424561,,,,,,,,
49,Belize,,,,,,1.08141779899597,,0.547509372234344,,0.240015640854836,,,,50.0,5.95599985122681,6.19724231779575,5.71475738465786,0.907975316047668,0.450191766023636,0.0965810716152191,2.63195562362671,,,,,,,,
50,Japan,,,,,,1.43633782863617,,0.505625545978546,,0.12057276815176,,,,51.0,5.92000007629395,5.99071944460273,5.84928070798516,1.41691517829895,0.913475871086121,0.163760736584663,1.36322355270386,,,,,,,,
51,Lithuania,,,,,,1.47351610660553,,0.234231784939766,,0.010164656676352,,,,52.0,5.90199995040894,5.98266964137554,5.82133025944233,1.31458234786987,0.62894994020462,0.0118656428530812,2.22844052314758,,,,,,,,
52,Algeria,,,,,,1.1462174654007,,0.233335807919502,,0.0694366469979286,,,,53.0,5.87200021743774,5.97828643366694,5.76571400120854,1.09186446666718,0.617584645748138,0.146096110343933,2.56760382652283,,,,,,,,
53,Latvia,,,,,,1.40471494197845,,0.325707912445068,,0.153074786067009,,,,54.0,5.84999990463257,5.92026353821158,5.77973627105355,1.26074862480164,0.638566970825195,0.0738427266478539,1.99365520477295,,,,,,,,
54,South Korea,,,,,,1.12827444076538,,0.257921665906906,,0.206674367189407,,,,55.0,5.83799982070923,5.92255902826786,5.7534406131506,1.40167844295502,0.900214076042175,0.0632826685905457,1.88037800788879,,,,,,,,
55,Moldova,,,,,,1.25182557106018,,0.240729048848152,,0.208779126405716,,,,56.0,5.83799982070923,5.90837083846331,5.76762880295515,0.728870630264282,0.589465200901031,0.0100912861526012,2.80780839920044,,,,,,,,
56,Romania,,,,,,1.15009129047394,,0.457003742456436,,0.133519917726517,,,,57.0,5.82499980926514,5.91969415679574,5.73030546173453,1.21768391132355,0.685158312320709,0.00438790069893,2.17683148384094,,,,,,,,
57,Bolivia,,,,,,1.22761905193329,,0.558732926845551,,0.22556072473526,,,,58.0,5.82299995422363,5.9039769025147,5.74202300593257,0.833756566047668,0.473630249500275,0.0604777261614799,2.44327902793884,,,,,,,,
58,Turkmenistan,,,,,,1.49314916133881,,0.41827192902565,,0.24992498755455,,,,59.0,5.82200002670288,5.88518087550998,5.75881917789578,1.13077676296234,0.437726080417633,0.259270340204239,1.83290982246399,,,,,,,,
59,Kazakhstan,,,,,,1.38436901569366,,0.437454283237457,,0.201964423060417,,,,60.0,5.81899976730347,5.90364177465439,5.73435775995255,1.28455626964569,0.606041550636292,0.119282886385918,1.78489255905151,,,,,,,,
60,North Cyprus,,,,,,1.18630337715149,,0.471203625202179,,0.266845703125,,,,61.0,5.80999994277954,5.89736646488309,5.72263342067599,1.3469113111496,0.834647238254547,0.155353352427483,1.54915761947632,,,,,,,,
61,Slovenia,,,,,,1.45251882076263,,0.572575807571411,,0.242649093270302,,,,62.0,5.75799989700317,5.84222516000271,5.67377463400364,1.3412059545517,0.790828227996826,0.0451289787888527,1.31331729888916,,,,,,,,
62,Peru,,,,,,1.21877038478851,,0.450002878904343,,0.126819714903831,,,,63.0,5.71500015258789,5.81194677859545,5.61805352658033,1.03522527217865,0.630166113376617,0.0470490865409374,2.20726943016052,,,,,,,,
63,Mauritius,,,,,,1.20956099033356,,0.491247326135635,,0.360933750867844,,,,64.0,5.62900018692017,5.72986219167709,5.52813818216324,1.18939554691315,0.638007462024689,0.0421815551817417,1.6975839138031,,,,,,,,
64,Cyprus,,,,,,1.13136327266693,,0.355111539363861,,0.271254301071167,,,,65.0,5.62099981307983,5.71469269931316,5.5273069268465,1.35593807697296,0.84471470117569,0.0412379764020443,1.62124919891357,,,,,,,,
65,Estonia,,,,,,1.47667109966278,,0.479131430387497,,0.0988908112049103,,,,66.0,5.61100006103516,5.68813987419009,5.53386024788022,1.32087934017181,0.695168316364288,0.183248922228813,1.35750865936279,,,,,,,,
66,Belarus,,,,,,1.44494521617889,,0.295400261878967,,0.15513750910759,,,,67.0,5.56899976730347,5.64611424401402,5.49188529059291,1.15655755996704,0.637714266777039,0.156313821673393,1.72323298454285,,,,,,,,
67,Libya,,,,,,1.35756433010101,,0.465733230113983,,0.152073666453362,,,,68.0,5.52500009536743,5.67695380687714,5.37304638385773,1.10180306434631,0.520169019699097,0.0926102101802826,1.83501124382019,,,,,,,,
68,Turkey,,,,,,1.33775317668915,,0.300740599632263,,0.0466930419206619,,,,69.0,5.5,5.59486496329308,5.40513503670692,1.19827437400818,0.637605607509613,0.0996715798974037,1.87927794456482,,,,,,,,
69,Paraguay,,,,,,1.50728487968445,,0.473507791757584,,0.224150657653809,,,,70.0,5.49300003051758,5.57738126963377,5.40861879140139,0.932537317276001,0.579250693321228,0.091065913438797,1.6853334903717,,,,,,,,
70,"Hong Kong S.A.R., China",,,,,,1.26279091835022,,0.490968644618988,,0.374465793371201,,,,71.0,5.47200012207031,5.54959417313337,5.39440607100725,1.55167484283447,0.943062424659729,0.293933749198914,0.554633140563965,,,,,,,,
71,Philippines,,,,,,1.25391757488251,,0.585214674472809,,0.193513423204422,,,,72.0,5.42999982833862,5.54533505424857,5.31466460242867,0.85769921541214,0.468009054660797,0.0993318930268288,1.97260475158691,,,,,,,,
72,Serbia,,,,,,1.25818979740143,,0.208715528249741,,0.220125883817673,,,,73.0,5.39499998092651,5.49156965613365,5.29843030571938,1.06931757926941,0.65078467130661,0.0409037806093693,1.94708442687988,,,,,,,,
73,Jordan,,,,,,1.23908889293671,,0.418421149253845,,0.172170460224152,,,,74.0,5.33599996566772,5.44841002240777,5.22358990892768,0.991012394428253,0.604590058326721,0.11980327218771,1.79117655754089,,,,,,,,
74,Hungary,,,,,,1.34313309192657,,0.175863519310951,,0.0784016624093056,,,,75.0,5.32399988174438,5.40303970918059,5.24496005430818,1.2860119342804,0.687763452529907,0.0366369374096394,1.71645927429199,,,,,,,,
75,Jamaica,,,,,,1.36821806430817,,0.474307239055634,,0.233818337321281,,,,76.0,5.31099987030029,5.58139872848988,5.04060101211071,0.925579309463501,0.641022384166718,0.0552677810192108,1.61232566833496,,,,,,,,
76,Croatia,,,,,,0.96798300743103,,0.255772292613983,,0.248002976179123,,,,77.0,5.29300022125244,5.39177720457315,5.19422323793173,1.22255623340607,0.701288521289825,0.0431031100451946,1.85449242591858,,,,,,,,
77,Kosovo,,,,,,1.13785350322723,,0.260287940502167,,0.319931447505951,,,,78.0,5.27899980545044,5.36484799548984,5.19315161541104,0.951484382152557,0.541452050209045,0.0574716180562973,2.01054072380066,,,,,,,,
78,China,,,,,,1.16083741188049,,0.472787708044052,,0.0288068410009146,,,,79.0,5.27299976348877,5.31927808977663,5.2267214372009,1.08116579055786,0.741415500640869,0.0227942746132612,1.76493859291077,,,,,,,,
79,Pakistan,,,,,,0.672690689563751,,0.23521526157856,,0.315446019172668,,,,80.0,5.26900005340576,5.35998364135623,5.17801646545529,0.72688353061676,0.402047783136368,0.124348066747189,2.79248929023743,,,,,,,,
80,Indonesia,,,,,,1.27444469928741,,0.443323463201523,,0.611704587936401,,,,81.0,5.26200008392334,5.35288859814405,5.17111156970263,0.995538592338562,0.492345720529556,0.0153171354904771,1.42947697639465,,,,,,,,
81,Venezuela,,,,,,1.43133759498596,,0.153997123241425,,0.0650196298956871,,,,82.0,5.25,5.3700319455564,5.1299680544436,1.12843120098114,0.617144227027893,0.0644911229610443,1.78946375846863,,,,,,,,
82,Montenegro,,,,,,1.23837649822235,,0.194989055395126,,0.197911024093628,,,,83.0,5.23699998855591,5.34104444056749,5.13295553654432,1.12112903594971,0.667464673519135,0.0881741940975189,1.72919154167175,,,,,,,,
83,Morocco,,,,,,0.774864435195923,,0.408158332109451,,0.0322099551558495,,,,84.0,5.2350001335144,5.31834096476436,5.15165930226445,0.878114581108093,0.59771066904068,0.0877631828188896,2.45618939399719,,,,,,,,
84,Azerbaijan,,,,,,1.15240025520325,,0.398155838251114,,0.0452693402767181,,,,85.0,5.23400020599365,5.29928653523326,5.16871387675405,1.15360176563263,0.540775775909424,0.180987507104874,1.76248168945312,,,,,,,,
85,Dominican Republic,,,,,,1.40241670608521,,0.55258983373642,,0.186967849731445,,,,86.0,5.23000001907349,5.34906088516116,5.11093915298581,1.07937383651733,0.574873745441437,0.113945253193378,1.31946516036987,,,,,,,,
86,Greece,,,,,,1.23941457271576,,0.0957312509417534,,0.0,,,,87.0,5.22700023651123,5.3252461694181,5.12875430360436,1.28948748111725,0.810198903083801,0.04328977689147,1.74922156333923,,,,,,,,
87,Lebanon,,,,,,1.12962424755096,,0.288515985012054,,0.264450758695602,,,,88.0,5.22499990463257,5.31888228848577,5.13111752077937,1.07498753070831,0.735081076622009,0.037513829767704,1.69507384300232,,,,,,,,
88,Portugal,,,,,,1.36704301834106,,0.498465299606323,,0.0951027125120163,,,,89.0,5.19500017166138,5.28504173308611,5.10495861023665,1.3151752948761,0.795843541622162,0.0158694516867399,1.10768270492554,,,,,,,,
89,Bosnia and Herzegovina,,,,,,1.0693359375,,0.204403176903725,,0.328867495059967,,,,90.0,5.18200016021729,5.27633568674326,5.08766463369131,0.982409417629242,0.705186307430267,0.0,1.89217257499695,,,,,,,,
90,Honduras,,,,,,1.14394497871399,,0.348079860210419,,0.236188873648643,,,,91.0,5.18100023269653,5.30158279687166,5.0604176685214,0.730573117733002,0.582569479942322,0.0733454525470734,2.06581115722656,,,,,,,,
91,Macedonia,,,,,,1.20789301395416,,0.325905978679657,,0.25376096367836,,,,92.0,5.17500019073486,5.27217263966799,5.07782774180174,1.06457793712616,0.644948184490204,0.0602777935564518,1.6174693107605,,,,,,,,
92,Somalia,,,,,,0.721151351928711,,0.602126955986023,,0.291631311178207,,,,93.0,5.15100002288818,5.24248370990157,5.0595163358748,0.0226431842893362,0.113989137113094,0.282410323619843,3.11748456954956,,,,,,,,
93,Vietnam,,,,,,1.27749133110046,,0.571055591106415,,0.234968051314354,,,,94.0,5.07399988174438,5.14728076457977,5.000718998909,0.788547575473785,0.652168989181519,0.0876332372426987,1.46231865882874,,,,,,,,
94,Nigeria,,,,,,1.21577048301697,,0.394952565431595,,0.230947196483612,,,,95.0,5.07399988174438,5.20950013548136,4.93849962800741,0.783756256103516,0.0569157302379608,0.0261215660721064,2.36539053916931,,,,,,,,
95,Tajikistan,,,,,,1.27146327495575,,0.471566706895828,,0.248997643589973,,,,96.0,5.04099988937378,5.11142559587956,4.970574182868,0.524713635444641,0.529235124588013,0.146377146244049,1.84904932975769,,,,,,,,
96,Bhutan,,,,,,1.34012651443481,,0.501537680625916,,0.474054545164108,,,,97.0,5.01100015640259,5.07933456212282,4.94266575068235,0.885416388511658,0.495879292488098,0.173380389809608,1.14018440246582,,,,,,,,
97,Kyrgyzstan,,,,,,1.39423859119415,,0.454943388700485,,0.42858037352562,,,,98.0,5.00400018692017,5.08991990312934,4.91808047071099,0.596220076084137,0.553457796573639,0.0394391790032387,1.53672313690186,,,,,,,,
98,Nepal,,,,,,1.17928326129913,,0.440305948257446,,0.394096165895462,,,,99.0,4.96199989318848,5.06735607936978,4.85664370700717,0.479820191860199,0.504130780696869,0.0729755461215973,1.8912410736084,,,,,,,,
99,Mongolia,,,,,,1.4930112361908,,0.394143968820572,,0.338464230298996,,,,100.0,4.95499992370605,5.0216795091331,4.88832033827901,1.02723586559296,0.557783484458923,0.0329022891819477,1.11129236221313,,,,,,,,
100,South Africa,,,,,,1.38478863239288,,0.479246735572815,,0.139362379908562,,,,101.0,4.8289999961853,4.92943518772721,4.72856480464339,1.05469870567322,0.187080070376396,0.0725094974040985,1.51090860366821,,,,,,,,
101,Tunisia,,,,,,0.868351459503174,,0.289680689573288,,0.0496933571994305,,,,102.0,4.80499982833862,4.88436700701714,4.72563264966011,1.00726580619812,0.613212049007416,0.0867231488227844,1.89025115966797,,,,,,,,
102,Palestinian Territories,,,,,,1.15564715862274,,0.25471106171608,,0.114173173904419,,,,103.0,4.77500009536743,4.88184834256768,4.66815184816718,0.716249227523804,0.565666973590851,0.0892826020717621,1.8788902759552,,,,,,,,
103,Egypt,,,,,,0.997471392154694,,0.282110154628754,,0.128631442785263,,,,104.0,4.7350001335144,4.82513378962874,4.64486647740006,0.989701807498932,0.520187258720398,0.114381365478039,1.70216107368469,,,,,,,,
104,Bulgaria,,,,,,1.43437945842743,,0.289231717586517,,0.113177694380283,,,,105.0,4.71400022506714,4.80369470641017,4.62430574372411,1.1614590883255,0.708217680454254,0.0110515309497714,0.996139287948608,,,,,,,,
105,Sierra Leone,,,,,,0.984136044979095,,0.318697690963745,,0.293040901422501,,,,106.0,4.70900011062622,4.85064333498478,4.56735688626766,0.36842092871666,0.0055647538974881,0.0710951760411263,2.66845989227295,,,,,,,,
106,Cameroon,,,,,,0.946018218994141,,0.430388748645782,,0.236298456788063,,,,107.0,4.69500017166138,4.79654085725546,4.5934594860673,0.564305365085602,0.132892116904259,0.0513066314160824,2.3336455821991,,,,,,,,
107,Iran,,,,,,0.711551249027252,,0.249322608113289,,0.387242913246155,,,,108.0,4.69199991226196,4.79822470769286,4.58577511683106,1.15687310695648,0.639333188533783,0.048761073499918,1.49873495101929,,,,,,,,
108,Albania,,,,,,0.803685247898102,,0.381498634815216,,0.201312944293022,,,,109.0,4.64400005340576,4.75246400639415,4.53553610041738,0.996192753314972,0.731159746646881,0.0398642159998417,1.49044156074524,,,,,,,,
109,Bangladesh,,,,,,0.735131740570068,,0.478356659412384,,0.172255352139473,,,,110.0,4.60799980163574,4.68982165828347,4.52617794498801,0.586682975292206,0.533241033554077,0.123717859387398,1.97873616218567,,,,,,,,
110,Namibia,,,,,,1.0984708070755,,0.520303547382355,,0.0771337449550629,,,,111.0,4.57399988174438,4.77035474091768,4.37764502257109,0.964434325695038,0.33861181139946,0.0931469723582268,1.4818902015686,,,,,,,,
111,Kenya,,,,,,1.06795072555542,,0.452763766050339,,0.444860309362411,,,,112.0,4.55299997329712,4.65569159060717,4.45030835598707,0.560479462146759,0.309988349676132,0.0646413192152977,1.6519021987915,,,,,,,,
112,Mozambique,,,,,,0.870701014995575,,0.480791091918945,,0.322228103876114,,,,113.0,4.55000019073486,4.77410232633352,4.3258980551362,0.234305649995804,0.106654435396194,0.179436385631561,2.35565090179443,,,,,,,,
113,Myanmar,,,,,,1.12323594093323,,0.514492034912109,,0.838075160980225,,,,114.0,4.54500007629395,4.61473994642496,4.47526020616293,0.367110550403595,0.397522568702698,0.188816204667091,1.11529040336609,,,,,,,,
114,Senegal,,,,,,1.17969191074371,,0.377922266721725,,0.183468893170357,,,,115.0,4.53499984741211,4.6016037812829,4.46839591354132,0.479309022426605,0.409362852573395,0.115460447967052,1.78964614868164,,,,,,,,
115,Zambia,,,,,,1.00318729877472,,0.461603492498398,,0.249580144882202,,,,116.0,4.51399993896484,4.64410550147295,4.38389437645674,0.636406779289246,0.257835894823074,0.0782135501503944,1.82670545578003,,,,,,,,
116,Iraq,,,,,,0.978613197803497,,0.288555532693863,,0.19963726401329,,,,117.0,4.49700021743774,4.62259140968323,4.37140902519226,1.10271048545837,0.501180469989777,0.107215754687786,1.31890726089478,,,,,,,,
117,Gabon,,,,,,1.1556202173233,,0.312328577041626,,0.0437853783369064,,,,118.0,4.46500015258789,4.5573617656529,4.37263853952289,1.1982102394104,0.356578588485718,0.0760467872023582,1.32291626930237,,,,,,,,
118,Ethiopia,,,,,,0.86466920375824,,0.408842742443085,,0.312650740146637,,,,119.0,4.46000003814697,4.54272867664695,4.377271399647,0.339233845472336,0.353409707546234,0.165455713868141,2.01574373245239,,,,,,,,
119,Sri Lanka,,,,,,1.25997638702393,,0.561213254928589,,0.490863561630249,,,,120.0,4.44000005722046,4.55344719231129,4.32655292212963,1.00985014438629,0.625130832195282,0.0736539661884308,0.419389247894287,,,,,,,,
120,Armenia,,,,,,1.00748372077942,,0.198303267359734,,0.0834880918264389,,,,121.0,4.37599992752075,4.46673461228609,4.28526524275541,0.900596737861633,0.637524425983429,0.0266744215041399,1.5214991569519,,,,,,,,
121,India,,,,,,0.754372596740723,,0.469987004995346,,0.231538489460945,,,,122.0,4.31500005722046,4.37152201749384,4.25847809694707,0.792221248149872,0.455427616834641,0.0922268852591515,1.5191171169281,,,,,,,,
122,Mauritania,,,,,,1.2720308303833,,0.0960980430245399,,0.201870024204254,,,,123.0,4.29199981689453,4.37716361626983,4.20683601751924,0.648457288742065,0.285349279642105,0.136957004666328,1.65163731575012,,,,,,,,
123,Congo (Brazzaville),,,,,,0.832044363021851,,0.435025870800018,,0.120852127671242,,,,124.0,4.29099988937378,4.41005350500345,4.17194627374411,0.808964252471924,0.28995743393898,0.0796181336045265,1.72413563728333,,,,,,,,
124,Georgia,,,,,,0.57061493396759,,0.309410035610199,,0.0540088154375553,,,,125.0,4.28599977493286,4.37493396580219,4.19706558406353,0.950612664222717,0.649546980857849,0.251666635274887,1.50013780593872,,,,,,,,
125,Congo (Kinshasa),,,,,,1.22902345657349,,0.235961347818375,,0.246455833315849,,,,126.0,4.28000020980835,4.35781083270907,4.20218958690763,0.0921023488044739,0.191407024860382,0.0602413564920425,2.22495865821838,,,,,,,,
126,Mali,,,,,,1.28147339820862,,0.306613743305206,,0.183354198932648,,,,127.0,4.19000005722046,4.26967071101069,4.11032940343022,0.476180493831635,0.169365674257278,0.104970246553421,1.66819095611572,,,,,,,,
127,Ivory Coast,,,,,,0.904780030250549,,0.447706192731857,,0.201237469911575,,,,128.0,4.17999982833862,4.27518256321549,4.08481709346175,0.603048920631409,0.0486421696841717,0.130061775445938,1.84496426582336,,,,,,,,
128,Cambodia,,,,,,1.00623834133148,,0.633375823497772,,0.385922968387604,,,,129.0,4.16800022125244,4.27851781353354,4.05748262897134,0.601765096187592,0.429783403873444,0.0681059509515762,1.04294109344482,,,,,,,,
129,Sudan,,,,,,1.21400856971741,,0.0149958552792668,,0.182317450642586,,,,130.0,4.13899993896484,4.34574716508389,3.9322527128458,0.65951669216156,0.290920823812485,0.089847519993782,1.68706583976746,,,,,,,,
130,Ghana,,,,,,0.873664736747742,,0.423026293516159,,0.256923943758011,,,,131.0,4.11999988555908,4.22270720854402,4.01729256257415,0.667224824428558,0.295637726783752,0.0253363698720932,1.57786750793457,,,,,,,,
131,Ukraine,,,,,,1.39453756809235,,0.122974775731564,,0.270061463117599,,,,132.0,4.09600019454956,4.18541010454297,4.00659028455615,0.89465194940567,0.575903952121735,0.0230294708162546,0.814382314682007,,,,,,,,
132,Uganda,,,,,,1.12982773780823,,0.443185955286026,,0.325766056776047,,,,133.0,4.08099985122681,4.19579996705055,3.96619973540306,0.381430715322495,0.217632606625557,0.057069718837738,1.526362657547,,,,,,,,
133,Burkina Faso,,,,,,1.04328000545502,,0.324367851018906,,0.250864684581757,,,,134.0,4.03200006484985,4.12405906438828,3.93994106531143,0.3502277135849,0.215844258666039,0.120328105986118,1.72721290588379,,,,,,,,
134,Niger,,,,,,0.993025004863739,,0.36365869641304,,0.228673845529556,,,,135.0,4.02799987792969,4.11194681972265,3.94405293613672,0.161925330758095,0.26850500702858,0.138572946190834,1.87398338317871,,,,,,,,
135,Malawi,,,,,,0.512568831443787,,0.466914653778076,,0.287170469760895,,,,136.0,3.97000002861023,4.07747881740332,3.86252123981714,0.233442038297653,0.315089583396912,0.0727116540074348,2.08178615570068,,,,,,,,
136,Chad,,,,,,0.953855872154236,,0.16234202682972,,0.216113850474358,,,,137.0,3.93600010871887,4.0347115239501,3.83728869348764,0.438012987375259,0.0411347150802612,0.0535818822681904,2.07123804092407,,,,,,,,
137,Zimbabwe,,,,,,1.08309590816498,,0.336384207010269,,0.189143493771553,,,,138.0,3.875,3.97869964271784,3.77130035728216,0.375846534967422,0.196763753890991,0.0953753814101219,1.59797024726868,,,,,,,,
138,Lesotho,,,,,,1.19009518623352,,0.390661299228668,,0.157497271895409,,,,139.0,3.80800008773804,4.04434397548437,3.5716561999917,0.521021246910095,0.0,0.119094640016556,1.42983531951904,,,,,,,,
139,Angola,,,,,,1.10441195964813,,0.0,,0.097926490008831,,,,140.0,3.79500007629395,3.95164193540812,3.63835821717978,0.858428180217743,0.0498686656355858,0.0697203353047371,1.61448240280151,,,,,,,,
140,Afghanistan,,,,,,0.581543326377869,,0.106179520487785,,0.311870932579041,,,,141.0,3.79399991035461,3.87366141527891,3.71433840543032,0.401477217674255,0.180746778845787,0.0611578300595284,2.15080118179321,,,,,,,,
141,Botswana,,,,,,1.22155499458313,,0.505196332931519,,0.0993484482169151,,,,142.0,3.76600003242493,3.87412266626954,3.65787739858031,1.12209415435791,0.341755509376526,0.0985831990838051,0.3779137134552,,,,,,,,
142,Benin,,,,,,0.435299843549728,,0.425962775945663,,0.207948461174965,,,,143.0,3.65700006484985,3.74578355133533,3.56821657836437,0.431085407733917,0.209930211305618,0.0609290152788162,1.88563096523285,,,,,,,,
143,Madagascar,,,,,,0.913020372390747,,0.189196765422821,,0.208732530474663,,,,144.0,3.64400005340576,3.71431910589337,3.57368100091815,0.305808693170547,0.375223308801651,0.0672319754958153,1.58461260795593,,,,,,,,
144,Haiti,,,,,,0.640449821949005,,0.0303698573261499,,0.489203780889511,,,,145.0,3.6029999256134,3.73471479773521,3.47128505349159,0.368610262870789,0.277321130037308,0.0998721495270729,1.69716763496399,,,,,,,,
145,Yemen,,,,,,0.93538224697113,,0.249463722109795,,0.104125209152699,,,,146.0,3.59299993515015,3.69275031983852,3.49324955046177,0.591683447360992,0.310080915689468,0.0567674227058887,1.34560060501099,,,,,,,,
146,South Sudan,,,,,,0.601323127746582,,0.147062435746193,,0.285670816898346,,,,147.0,3.59100008010864,3.72553858578205,3.45646157443523,0.39724862575531,0.163486003875732,0.116793513298035,1.87956738471985,,,,,,,,
147,Liberia,,,,,,0.872117936611176,,0.332881182432175,,0.26654988527298,,,,148.0,3.53299999237061,3.65375626087189,3.41224372386932,0.119041793048382,0.229918196797371,0.0389482490718365,1.67328596115112,,,,,,,,
148,Guinea,,,,,,0.791244685649872,,0.348587512969971,,0.264815092086792,,,,149.0,3.50699996948242,3.58442812889814,3.4295718100667,0.244549930095673,0.194129139184952,0.110937617719173,1.55231189727783,,,,,,,,
149,Togo,,,,,,0.431882530450821,,0.38042613863945,,0.196896150708199,,,,150.0,3.49499988555908,3.59403811171651,3.39596165940166,0.305444717407227,0.247105568647385,0.0956650152802467,1.83722925186157,,,,,,,,
150,Rwanda,,,,,,0.945707023143768,,0.581843852996826,,0.252756029367447,,,,151.0,3.47099995613098,3.54303023353219,3.39896967872977,0.368745893239975,0.326424807310104,0.455220013856888,0.540061235427856,,,,,,,,
151,Syria,,,,,,0.396102607250214,,0.0815394446253777,,0.493663728237152,,,,152.0,3.46199989318848,3.66366855680943,3.26033122956753,0.777153134346008,0.50053334236145,0.151347130537033,1.06157350540161,,,,,,,,
152,Tanzania,,,,,,1.04198980331421,,0.390017777681351,,0.354256361722946,,,,153.0,3.34899997711182,3.46142975538969,3.23657019883394,0.511135876178741,0.364509284496307,0.0660351067781448,0.621130466461182,,,,,,,,
153,Burundi,,,,,,0.629793584346771,,0.0599007532000542,,0.204435184597969,,,,154.0,2.90499997138977,3.07469033300877,2.73530960977077,0.091622568666935,0.151610791683197,0.0841479450464249,1.68302416801453,,,,,,,,
154,Central African Republic,,,,,,0.0,,0.270842045545578,,0.280876487493515,,,,155.0,2.69300007820129,2.86488426923752,2.52111588716507,0.0,0.0187726859003305,0.0565650761127472,2.06600475311279,,,,,,,,
0,,,,,,,,,,,0.202,,,,,,,,,,,,1.0,Finland,7.632,1.305,1.592,0.874,0.681,0.393
1,,,,,,,,,,,0.286,,,,,,,,,,,,2.0,Norway,7.594,1.456,1.582,0.861,0.686,0.34
2,,,,,,,,,,,0.284,,,,,,,,,,,,3.0,Denmark,7.555,1.351,1.59,0.868,0.683,0.408
3,,,,,,,,,,,0.353,,,,,,,,,,,,4.0,Iceland,7.495,1.343,1.644,0.914,0.677,0.138
4,,,,,,,,,,,0.256,,,,,,,,,,,,5.0,Switzerland,7.487,1.42,1.549,0.927,0.66,0.357
5,,,,,,,,,,,0.333,,,,,,,,,,,,6.0,Netherlands,7.441,1.361,1.488,0.878,0.638,0.295
6,,,,,,,,,,,0.321,,,,,,,,,,,,7.0,Canada,7.328,1.33,1.532,0.896,0.653,0.291
7,,,,,,,,,,,0.365,,,,,,,,,,,,8.0,New Zealand,7.324,1.268,1.601,0.876,0.669,0.389
8,,,,,,,,,,,0.285,,,,,,,,,,,,9.0,Sweden,7.314,1.355,1.501,0.913,0.659,0.383
9,,,,,,,,,,,0.361,,,,,,,,,,,,10.0,Australia,7.272,1.34,1.573,0.91,0.647,0.302
10,,,,,,,,,,,0.262,,,,,,,,,,,,11.0,United Kingdom,7.19,1.244,1.433,0.888,0.464,0.082
11,,,,,,,,,,,0.242,,,,,,,,,,,,12.0,Austria,7.139,1.341,1.504,0.891,0.617,0.224
12,,,,,,,,,,,0.143,,,,,,,,,,,,13.0,Costa Rica,7.072,1.01,1.459,0.817,0.632,0.101
13,,,,,,,,,,,0.307,,,,,,,,,,,,14.0,Ireland,6.977,1.448,1.583,0.876,0.614,0.306
14,,,,,,,,,,,0.273,,,,,,,,,,,,15.0,Germany,6.965,1.34,1.474,0.861,0.586,0.28
15,,,,,,,,,,,0.188,,,,,,,,,,,,16.0,Belgium,6.927,1.324,1.483,0.894,0.583,0.24
16,,,,,,,,,,,0.196,,,,,,,,,,,,17.0,Luxembourg,6.91,1.576,1.52,0.896,0.632,0.321
17,,,,,,,,,,,0.291,,,,,,,,,,,,18.0,United States,6.886,1.398,1.471,0.819,0.547,0.133
18,,,,,,,,,,,0.354,,,,,,,,,,,,19.0,Israel,6.814,1.301,1.559,0.883,0.533,0.272
19,,,,,,,,,,,0.186,,,,,,,,,,,,20.0,United Arab Emirates,6.774,2.096,0.776,0.67,0.284,
20,,,,,,,,,,,0.064,,,,,,,,,,,,21.0,Czech Republic,6.711,1.233,1.489,0.854,0.543,0.034
21,,,,,,,,,,,0.376,,,,,,,,,,,,22.0,Malta,6.627,1.27,1.525,0.884,0.645,0.142
22,,,,,,,,,,,0.098,,,,,,,,,,,,23.0,France,6.489,1.293,1.466,0.908,0.52,0.176
23,,,,,,,,,,,0.069,,,,,,,,,,,,24.0,Mexico,6.488,1.038,1.252,0.761,0.479,0.095
24,,,,,,,,,,,0.197,,,,,,,,,,,,25.0,Chile,6.476,1.131,1.331,0.808,0.431,0.061
25,,,,,,,,,,,0.151,,,,,,,,,,,,26.0,Taiwan,6.441,1.365,1.436,0.857,0.418,0.078
26,,,,,,,,,,,0.125,,,,,,,,,,,,27.0,Panama,6.43,1.112,1.438,0.759,0.597,0.063
27,,,,,,,,,,,0.11,,,,,,,,,,,,28.0,Brazil,6.419,0.986,1.474,0.675,0.493,0.088
28,,,,,,,,,,,0.062,,,,,,,,,,,,29.0,Argentina,6.388,1.073,1.468,0.744,0.57,0.054
29,,,,,,,,,,,0.179,,,,,,,,,,,,30.0,Guatemala,6.382,0.781,1.268,0.608,0.604,0.071
30,,,,,,,,,,,0.13,,,,,,,,,,,,31.0,Uruguay,6.379,1.093,1.459,0.771,0.625,0.155
31,,,,,,,,,,,0.256,,,,,,,,,,,,32.0,Qatar,6.374,1.649,1.303,0.748,0.654,0.171
32,,,,,,,,,,,0.098,,,,,,,,,,,,33.0,Saudi Arabia,6.371,1.379,1.331,0.633,0.509,0.127
33,,,,,,,,,,,0.261,,,,,,,,,,,,34.0,Singapore,6.343,1.529,1.451,1.008,0.631,0.457
34,,,,,,,,,,,0.311,,,,,,,,,,,,35.0,Malaysia,6.322,1.161,1.258,0.669,0.356,0.059
35,,,,,,,,,,,0.142,,,,,,,,,,,,36.0,Spain,6.31,1.251,1.538,0.965,0.449,0.074
36,,,,,,,,,,,0.099,,,,,,,,,,,,37.0,Colombia,6.26,0.96,1.439,0.635,0.531,0.039
37,,,,,,,,,,,0.171,,,,,,,,,,,,38.0,Trinidad & Tobago,6.192,1.223,1.492,0.564,0.575,0.019
38,,,,,,,,,,,0.118,,,,,,,,,,,,39.0,Slovakia,6.173,1.21,1.537,0.776,0.354,0.014
39,,,,,,,,,,,0.065,,,,,,,,,,,,40.0,El Salvador,6.167,0.806,1.231,0.639,0.461,0.082
40,,,,,,,,,,,0.208,,,,,,,,,,,,41.0,Nicaragua,6.141,0.668,1.319,0.7,0.527,0.128
41,,,,,,,,,,,0.108,,,,,,,,,,,,42.0,Poland,6.123,1.176,1.448,0.781,0.546,0.064
42,,,,,,,,,,,0.243,,,,,,,,,,,,43.0,Bahrain,6.105,1.338,1.366,0.698,0.594,0.123
43,,,,,,,,,,,0.328,,,,,,,,,,,,44.0,Uzbekistan,6.096,0.719,1.584,0.605,0.724,0.259
44,,,,,,,,,,,0.167,,,,,,,,,,,,45.0,Kuwait,6.083,1.474,1.301,0.675,0.554,0.106
45,,,,,,,,,,,0.364,,,,,,,,,,,,46.0,Thailand,6.072,1.016,1.417,0.707,0.637,0.029
46,,,,,,,,,,,0.137,,,,,,,,,,,,47.0,Italy,6.0,1.264,1.501,0.946,0.281,0.028
47,,,,,,,,,,,0.114,,,,,,,,,,,,48.0,Ecuador,5.973,0.889,1.33,0.736,0.556,0.12
48,,,,,,,,,,,0.183,,,,,,,,,,,,49.0,Belize,5.956,0.807,1.101,0.474,0.593,0.089
49,,,,,,,,,,,0.026,,,,,,,,,,,,50.0,Lithuania,5.952,1.197,1.527,0.716,0.35,0.006
50,,,,,,,,,,,0.16,,,,,,,,,,,,51.0,Slovenia,5.948,1.219,1.506,0.856,0.633,0.051
51,,,,,,,,,,,0.088,,,,,,,,,,,,52.0,Romania,5.945,1.116,1.219,0.726,0.528,0.001
52,,,,,,,,,,,0.092,,,,,,,,,,,,53.0,Latvia,5.933,1.148,1.454,0.671,0.363,0.066
53,,,,,,,,,,,0.079,,,,,,,,,,,,54.0,Japan,5.915,1.294,1.462,0.988,0.553,0.15
54,,,,,,,,,,,0.245,,,,,,,,,,,,55.0,Mauritius,5.891,1.09,1.387,0.684,0.584,0.05
55,,,,,,,,,,,0.096,,,,,,,,,,,,56.0,Jamaica,5.89,0.819,1.493,0.693,0.575,0.031
56,,,,,,,,,,,0.175,,,,,,,,,,,,57.0,South Korea,5.875,1.266,1.204,0.955,0.244,0.051
57,,,,,,,,,,,0.179,,,,,,,,,,,,58.0,Northern Cyprus,5.835,1.229,1.211,0.909,0.495,0.154
58,,,,,,,,,,,0.065,,,,,,,,,,,,59.0,Russia,5.81,1.151,1.479,0.599,0.399,0.025
59,,,,,,,,,,,0.148,,,,,,,,,,,,60.0,Kazakhstan,5.79,1.143,1.516,0.631,0.454,0.121
60,,,,,,,,,,,0.202,,,,,,,,,,,,61.0,Cyprus,5.762,1.229,1.191,0.909,0.423,0.035
61,,,,,,,,,,,0.141,,,,,,,,,,,,62.0,Bolivia,5.752,0.751,1.223,0.508,0.606,0.054
62,,,,,,,,,,,0.086,,,,,,,,,,,,63.0,Estonia,5.739,1.2,1.532,0.737,0.553,0.174
63,,,,,,,,,,,0.162,,,,,,,,,,,,64.0,Paraguay,5.681,0.835,1.522,0.615,0.541,0.074
64,,,,,,,,,,,0.092,,,,,,,,,,,,65.0,Peru,5.663,0.934,1.249,0.674,0.53,0.034
65,,,,,,,,,,,0.274,,,,,,,,,,,,66.0,Kosovo,5.662,0.855,1.23,0.578,0.448,0.023
66,,,,,,,,,,,0.171,,,,,,,,,,,,67.0,Moldova,5.64,0.657,1.301,0.62,0.232,0.0
67,,,,,,,,,,,0.199,,,,,,,,,,,,68.0,Turkmenistan,5.636,1.016,1.533,0.517,0.417,0.037
68,,,,,,,,,,,0.061,,,,,,,,,,,,69.0,Hungary,5.62,1.171,1.401,0.732,0.259,0.022
69,,,,,,,,,,,0.116,,,,,,,,,,,,70.0,Libya,5.566,0.985,1.35,0.553,0.496,0.148
70,,,,,,,,,,,0.12,,,,,,,,,,,,71.0,Philippines,5.524,0.775,1.312,0.513,0.643,0.105
71,,,,,,,,,,,0.197,,,,,,,,,,,,72.0,Honduras,5.504,0.62,1.205,0.622,0.459,0.074
72,,,,,,,,,,,0.101,,,,,,,,,,,,73.0,Belarus,5.483,1.039,1.498,0.7,0.307,0.154
73,,,,,,,,,,,0.106,,,,,,,,,,,,74.0,Turkey,5.483,1.148,1.38,0.686,0.324,0.109
74,,,,,,,,,,,0.216,,,,,,,,,,,,75.0,Pakistan,5.472,0.652,0.81,0.424,0.334,0.113
75,,,,,,,,,,,0.246,,,,,,,,,,,,76.0,Hong Kong,5.43,1.405,1.29,1.03,0.524,0.291
76,,,,,,,,,,,0.055,,,,,,,,,,,,77.0,Portugal,5.41,1.188,1.429,0.884,0.562,0.017
77,,,,,,,,,,,0.134,,,,,,,,,,,,78.0,Serbia,5.398,0.975,1.369,0.685,0.288,0.043
78,,,,,,,,,,,0.0,,,,,,,,,,,,79.0,Greece,5.358,1.154,1.202,0.879,0.131,0.044
79,,,,,,,,,,,0.214,,,,,,,,,,,,80.0,Lebanon,5.358,0.965,1.179,0.785,0.503,0.136
80,,,,,,,,,,,0.111,,,,,,,,,,,,81.0,Montenegro,5.347,1.017,1.279,0.729,0.259,0.081
81,,,,,,,,,,,0.12,,,,,,,,,,,,82.0,Croatia,5.321,1.115,1.161,0.737,0.38,0.039
82,,,,,,,,,,,0.12,,,,,,,,,,,,83.0,Dominican Republic,5.302,0.982,1.441,0.614,0.578,0.106
83,,,,,,,,,,,0.055,,,,,,,,,,,,84.0,Algeria,5.295,0.979,1.154,0.687,0.077,0.135
84,,,,,,,,,,,0.026,,,,,,,,,,,,85.0,Morocco,5.254,0.779,0.797,0.669,0.46,0.074
85,,,,,,,,,,,0.029,,,,,,,,,,,,86.0,China,5.246,0.989,1.142,0.799,0.597,0.103
86,,,,,,,,,,,0.031,,,,,,,,,,,,87.0,Azerbaijan,5.201,1.024,1.161,0.603,0.43,0.176
87,,,,,,,,,,,0.187,,,,,,,,,,,,88.0,Tajikistan,5.199,0.474,1.166,0.598,0.292,0.034
88,,,,,,,,,,,0.173,,,,,,,,,,,,89.0,Macedonia,5.185,0.959,1.239,0.691,0.394,0.052
89,,,,,,,,,,,0.13,,,,,,,,,,,,90.0,Jordan,5.161,0.822,1.265,0.645,0.468,0.134
90,,,,,,,,,,,0.201,,,,,,,,,,,,91.0,Nigeria,5.155,0.689,1.172,0.048,0.462,0.032
91,,,,,,,,,,,0.281,,,,,,,,,,,,92.0,Kyrgyzstan,5.131,0.53,1.416,0.594,0.54,0.035
92,,,,,,,,,,,0.216,,,,,,,,,,,,93.0,Bosnia and Herzegovina,5.129,0.915,1.078,0.758,0.28,0.0
93,,,,,,,,,,,0.253,,,,,,,,,,,,94.0,Mongolia,5.125,0.914,1.517,0.575,0.395,0.032
94,,,,,,,,,,,0.177,,,,,,,,,,,,95.0,Vietnam,5.103,0.715,1.365,0.702,0.618,0.079
95,,,,,,,,,,,0.484,,,,,,,,,,,,96.0,Indonesia,5.093,0.899,1.215,0.522,0.538,0.018
96,,,,,,,,,,,0.364,,,,,,,,,,,,97.0,Bhutan,5.082,0.796,1.335,0.527,0.541,0.171
97,,,,,,,,,,,0.238,,,,,,,,,,,,98.0,Somalia,4.982,0.0,0.712,0.115,0.674,0.282
98,,,,,,,,,,,0.183,,,,,,,,,,,,99.0,Cameroon,4.975,0.535,0.891,0.182,0.454,0.043
99,,,,,,,,,,,0.064,,,,,,,,,,,,100.0,Bulgaria,4.933,1.054,1.515,0.712,0.359,0.009
100,,,,,,,,,,,0.302,,,,,,,,,,,,101.0,Nepal,4.88,0.425,1.228,0.539,0.526,0.078
101,,,,,,,,,,,0.056,,,,,,,,,,,,102.0,Venezuela,4.806,0.996,1.469,0.657,0.133,0.052
102,,,,,,,,,,,0.032,,,,,,,,,,,,103.0,Gabon,4.758,1.036,1.164,0.404,0.356,0.052
103,,,,,,,,,,,0.086,,,,,,,,,,,,104.0,Palestinian Territories,4.743,0.642,1.217,0.602,0.266,0.076
104,,,,,,,,,,,0.103,,,,,,,,,,,,105.0,South Africa,4.724,0.94,1.41,0.33,0.516,0.056
105,,,,,,,,,,,0.282,,,,,,,,,,,,106.0,Iran,4.707,1.059,0.771,0.691,0.459,0.129
106,,,,,,,,,,,0.146,,,,,,,,,,,,107.0,Ivory Coast,4.671,0.541,0.872,0.08,0.467,0.103
107,,,,,,,,,,,0.212,,,,,,,,,,,,108.0,Ghana,4.657,0.592,0.896,0.337,0.499,0.029
108,,,,,,,,,,,0.138,,,,,,,,,,,,109.0,Senegal,4.631,0.429,1.117,0.433,0.406,0.082
109,,,,,,,,,,,0.23,,,,,,,,,,,,110.0,Laos,4.623,0.72,1.034,0.441,0.626,0.174
110,,,,,,,,,,,0.04,,,,,,,,,,,,111.0,Tunisia,4.592,0.9,0.906,0.69,0.271,0.063
111,,,,,,,,,,,0.149,,,,,,,,,,,,112.0,Albania,4.586,0.916,0.817,0.79,0.419,0.032
112,,,,,,,,,,,0.238,,,,,,,,,,,,113.0,Sierra Leone,4.571,0.256,0.813,0.0,0.355,0.053
113,,,,,,,,,,,0.091,,,,,,,,,,,,114.0,Congo (Brazzaville),4.559,0.682,0.811,0.343,0.514,0.077
114,,,,,,,,,,,0.153,,,,,,,,,,,,115.0,Bangladesh,4.5,0.532,0.85,0.579,0.58,0.144
115,,,,,,,,,,,0.307,,,,,,,,,,,,116.0,Sri Lanka,4.471,0.918,1.314,0.672,0.585,0.05
116,,,,,,,,,,,0.148,,,,,,,,,,,,117.0,Iraq,4.456,1.01,0.971,0.536,0.304,0.095
117,,,,,,,,,,,0.139,,,,,,,,,,,,118.0,Mali,4.447,0.37,1.233,0.152,0.367,0.056
118,,,,,,,,,,,0.051,,,,,,,,,,,,119.0,Namibia,4.441,0.874,1.281,0.365,0.519,0.064
119,,,,,,,,,,,0.256,,,,,,,,,,,,120.0,Cambodia,4.433,0.549,1.088,0.457,0.696,0.065
120,,,,,,,,,,,0.175,,,,,,,,,,,,121.0,Burkina Faso,4.424,0.314,1.097,0.254,0.312,0.128
121,,,,,,,,,,,0.092,,,,,,,,,,,,122.0,Egypt,4.419,0.885,1.025,0.553,0.312,0.107
122,,,,,,,,,,,0.206,,,,,,,,,,,,123.0,Mozambique,4.417,0.198,0.902,0.173,0.531,0.158
123,,,,,,,,,,,0.352,,,,,,,,,,,,124.0,Kenya,4.41,0.493,1.048,0.454,0.504,0.055
124,,,,,,,,,,,0.221,,,,,,,,,,,,125.0,Zambia,4.377,0.562,1.047,0.295,0.503,0.082
125,,,,,,,,,,,0.134,,,,,,,,,,,,126.0,Mauritania,4.356,0.557,1.245,0.292,0.129,0.093
126,,,,,,,,,,,0.22,,,,,,,,,,,,127.0,Ethiopia,4.35,0.308,0.95,0.391,0.452,0.146
127,,,,,,,,,,,0.038,,,,,,,,,,,,128.0,Georgia,4.34,0.853,0.592,0.643,0.375,0.215
128,,,,,,,,,,,0.077,,,,,,,,,,,,129.0,Armenia,4.321,0.816,0.99,0.666,0.26,0.028
129,,,,,,,,,,,0.598,,,,,,,,,,,,130.0,Myanmar,4.308,0.682,1.174,0.429,0.58,0.178
130,,,,,,,,,,,0.181,,,,,,,,,,,,131.0,Chad,4.301,0.358,0.907,0.053,0.189,0.06
131,,,,,,,,,,,0.197,,,,,,,,,,,,132.0,Congo (Kinshasa),4.245,0.069,1.136,0.204,0.312,0.052
132,,,,,,,,,,,0.172,,,,,,,,,,,,133.0,India,4.19,0.721,0.747,0.485,0.539,0.093
133,,,,,,,,,,,0.175,,,,,,,,,,,,134.0,Niger,4.166,0.131,0.867,0.221,0.39,0.099
134,,,,,,,,,,,0.259,,,,,,,,,,,,135.0,Uganda,4.161,0.322,1.09,0.237,0.45,0.061
135,,,,,,,,,,,0.163,,,,,,,,,,,,136.0,Benin,4.141,0.378,0.372,0.24,0.44,0.067
136,,,,,,,,,,,0.134,,,,,,,,,,,,137.0,Sudan,4.139,0.605,1.24,0.312,0.016,0.082
137,,,,,,,,,,,0.187,,,,,,,,,,,,138.0,Ukraine,4.103,0.793,1.413,0.609,0.163,0.011
138,,,,,,,,,,,0.158,,,,,,,,,,,,139.0,Togo,3.999,0.259,0.474,0.253,0.434,0.101
139,,,,,,,,,,,0.185,,,,,,,,,,,,140.0,Guinea,3.964,0.344,0.792,0.211,0.394,0.094
140,,,,,,,,,,,0.116,,,,,,,,,,,,141.0,Lesotho,3.808,0.472,1.215,0.079,0.423,0.112
141,,,,,,,,,,,0.079,,,,,,,,,,,,142.0,Angola,3.795,0.73,1.125,0.269,0.0,0.061
142,,,,,,,,,,,0.155,,,,,,,,,,,,143.0,Madagascar,3.774,0.262,0.908,0.402,0.221,0.049
143,,,,,,,,,,,0.132,,,,,,,,,,,,144.0,Zimbabwe,3.692,0.357,1.094,0.248,0.406,0.099
144,,,,,,,,,,,0.191,,,,,,,,,,,,145.0,Afghanistan,3.632,0.332,0.537,0.255,0.085,0.036
145,,,,,,,,,,,0.042,,,,,,,,,,,,146.0,Botswana,3.59,1.017,1.174,0.417,0.557,0.092
146,,,,,,,,,,,0.21,,,,,,,,,,,,147.0,Malawi,3.587,0.186,0.541,0.306,0.531,0.08
147,,,,,,,,,,,0.392,,,,,,,,,,,,148.0,Haiti,3.582,0.315,0.714,0.289,0.025,0.104
148,,,,,,,,,,,0.206,,,,,,,,,,,,149.0,Liberia,3.495,0.076,0.858,0.267,0.419,0.03
149,,,,,,,,,,,0.376,,,,,,,,,,,,150.0,Syria,3.462,0.689,0.382,0.539,0.088,0.144
150,,,,,,,,,,,0.2,,,,,,,,,,,,151.0,Rwanda,3.408,0.332,0.896,0.4,0.636,0.444
151,,,,,,,,,,,0.083,,,,,,,,,,,,152.0,Yemen,3.355,0.442,1.073,0.343,0.244,0.064
152,,,,,,,,,,,0.27,,,,,,,,,,,,153.0,Tanzania,3.303,0.455,0.991,0.381,0.481,0.097
153,,,,,,,,,,,0.224,,,,,,,,,,,,154.0,South Sudan,3.254,0.337,0.608,0.177,0.112,0.106
154,,,,,,,,,,,0.218,,,,,,,,,,,,155.0,Central African Republic,3.083,0.024,0.0,0.01,0.305,0.038
155,,,,,,,,,,,0.149,,,,,,,,,,,,156.0,Burundi,2.905,0.091,0.627,0.145,0.065,0.076
0,,,,,,,,,,,0.153,,,,,,,,,,,,1.0,Finland,7.769,1.34,1.587,0.986,0.596,0.393
1,,,,,,,,,,,0.252,,,,,,,,,,,,2.0,Denmark,7.6,1.383,1.573,0.996,0.592,0.41
2,,,,,,,,,,,0.271,,,,,,,,,,,,3.0,Norway,7.554,1.488,1.582,1.028,0.603,0.341
3,,,,,,,,,,,0.354,,,,,,,,,,,,4.0,Iceland,7.494,1.38,1.624,1.026,0.591,0.118
4,,,,,,,,,,,0.322,,,,,,,,,,,,5.0,Netherlands,7.488,1.396,1.522,0.999,0.557,0.298
5,,,,,,,,,,,0.263,,,,,,,,,,,,6.0,Switzerland,7.48,1.452,1.526,1.052,0.572,0.343
6,,,,,,,,,,,0.267,,,,,,,,,,,,7.0,Sweden,7.343,1.387,1.487,1.009,0.574,0.373
7,,,,,,,,,,,0.33,,,,,,,,,,,,8.0,New Zealand,7.307,1.303,1.557,1.026,0.585,0.38
8,,,,,,,,,,,0.285,,,,,,,,,,,,9.0,Canada,7.278,1.365,1.505,1.039,0.584,0.308
9,,,,,,,,,,,0.244,,,,,,,,,,,,10.0,Austria,7.246,1.376,1.475,1.016,0.532,0.226
10,,,,,,,,,,,0.332,,,,,,,,,,,,11.0,Australia,7.228,1.372,1.548,1.036,0.557,0.29
11,,,,,,,,,,,0.144,,,,,,,,,,,,12.0,Costa Rica,7.167,1.034,1.441,0.963,0.558,0.093
12,,,,,,,,,,,0.261,,,,,,,,,,,,13.0,Israel,7.139,1.276,1.455,1.029,0.371,0.082
13,,,,,,,,,,,0.194,,,,,,,,,,,,14.0,Luxembourg,7.09,1.609,1.479,1.012,0.526,0.316
14,,,,,,,,,,,0.348,,,,,,,,,,,,15.0,United Kingdom,7.054,1.333,1.538,0.996,0.45,0.278
15,,,,,,,,,,,0.298,,,,,,,,,,,,16.0,Ireland,7.021,1.499,1.553,0.999,0.516,0.31
16,,,,,,,,,,,0.261,,,,,,,,,,,,17.0,Germany,6.985,1.373,1.454,0.987,0.495,0.265
17,,,,,,,,,,,0.16,,,,,,,,,,,,18.0,Belgium,6.923,1.356,1.504,0.986,0.473,0.21
18,,,,,,,,,,,0.28,,,,,,,,,,,,19.0,United States,6.892,1.433,1.457,0.874,0.454,0.128
19,,,,,,,,,,,0.046,,,,,,,,,,,,20.0,Czech Republic,6.852,1.269,1.487,0.92,0.457,0.036
20,,,,,,,,,,,0.262,,,,,,,,,,,,21.0,United Arab Emirates,6.825,1.503,1.31,0.825,0.598,0.182
21,,,,,,,,,,,0.375,,,,,,,,,,,,22.0,Malta,6.726,1.3,1.52,0.999,0.564,0.151
22,,,,,,,,,,,0.074,,,,,,,,,,,,23.0,Mexico,6.595,1.07,1.323,0.861,0.433,0.073
23,,,,,,,,,,,0.111,,,,,,,,,,,,24.0,France,6.592,1.324,1.472,1.045,0.436,0.183
24,,,,,,,,,,,0.242,,,,,,,,,,,,25.0,Taiwan,6.446,1.368,1.43,0.914,0.351,0.097
25,,,,,,,,,,,0.187,,,,,,,,,,,,26.0,Chile,6.444,1.159,1.369,0.92,0.357,0.056
26,,,,,,,,,,,0.175,,,,,,,,,,,,27.0,Guatemala,6.436,0.8,1.269,0.746,0.535,0.078
27,,,,,,,,,,,0.08,,,,,,,,,,,,28.0,Saudi Arabia,6.375,1.403,1.357,0.795,0.439,0.132
28,,,,,,,,,,,0.22,,,,,,,,,,,,29.0,Qatar,6.374,1.684,1.313,0.871,0.555,0.167
29,,,,,,,,,,,0.153,,,,,,,,,,,,30.0,Spain,6.354,1.286,1.484,1.062,0.362,0.079
30,,,,,,,,,,,0.109,,,,,,,,,,,,31.0,Panama,6.321,1.149,1.442,0.91,0.516,0.054
31,,,,,,,,,,,0.099,,,,,,,,,,,,32.0,Brazil,6.3,1.004,1.439,0.802,0.39,0.086
32,,,,,,,,,,,0.127,,,,,,,,,,,,33.0,Uruguay,6.293,1.124,1.465,0.891,0.523,0.15
33,,,,,,,,,,,0.271,,,,,,,,,,,,34.0,Singapore,6.262,1.572,1.463,1.141,0.556,0.453
34,,,,,,,,,,,0.093,,,,,,,,,,,,35.0,El Salvador,6.253,0.794,1.242,0.789,0.43,0.074
35,,,,,,,,,,,0.158,,,,,,,,,,,,36.0,Italy,6.223,1.294,1.488,1.039,0.231,0.03
36,,,,,,,,,,,0.255,,,,,,,,,,,,37.0,Bahrain,6.199,1.362,1.368,0.871,0.536,0.11
37,,,,,,,,,,,0.121,,,,,,,,,,,,38.0,Slovakia,6.198,1.246,1.504,0.881,0.334,0.014
38,,,,,,,,,,,0.185,,,,,,,,,,,,39.0,Trinidad & Tobago,6.192,1.231,1.477,0.713,0.489,0.016
39,,,,,,,,,,,0.117,,,,,,,,,,,,40.0,Poland,6.182,1.206,1.438,0.884,0.483,0.05
40,,,,,,,,,,,0.322,,,,,,,,,,,,41.0,Uzbekistan,6.174,0.745,1.529,0.756,0.631,0.24
41,,,,,,,,,,,0.043,,,,,,,,,,,,42.0,Lithuania,6.149,1.238,1.515,0.818,0.291,0.042
42,,,,,,,,,,,0.099,,,,,,,,,,,,43.0,Colombia,6.125,0.985,1.41,0.841,0.47,0.034
43,,,,,,,,,,,0.144,,,,,,,,,,,,44.0,Slovenia,6.118,1.258,1.523,0.953,0.564,0.057
44,,,,,,,,,,,0.2,,,,,,,,,,,,45.0,Nicaragua,6.105,0.694,1.325,0.835,0.435,0.127
45,,,,,,,,,,,0.262,,,,,,,,,,,,46.0,Kosovo,6.1,0.882,1.232,0.758,0.489,0.006
46,,,,,,,,,,,0.066,,,,,,,,,,,,47.0,Argentina,6.086,1.092,1.432,0.881,0.471,0.05
47,,,,,,,,,,,0.083,,,,,,,,,,,,48.0,Romania,6.07,1.162,1.232,0.825,0.462,0.005
48,,,,,,,,,,,0.19,,,,,,,,,,,,49.0,Cyprus,6.046,1.263,1.223,1.042,0.406,0.041
49,,,,,,,,,,,0.126,,,,,,,,,,,,50.0,Ecuador,6.028,0.912,1.312,0.868,0.498,0.087
50,,,,,,,,,,,0.142,,,,,,,,,,,,51.0,Kuwait,6.021,1.5,1.319,0.808,0.493,0.097
51,,,,,,,,,,,0.359,,,,,,,,,,,,52.0,Thailand,6.008,1.05,1.409,0.828,0.557,0.028
52,,,,,,,,,,,0.075,,,,,,,,,,,,53.0,Latvia,5.94,1.187,1.465,0.812,0.264,0.064
53,,,,,,,,,,,0.175,,,,,,,,,,,,54.0,South Korea,5.895,1.301,1.219,1.036,0.159,0.056
54,,,,,,,,,,,0.103,,,,,,,,,,,,55.0,Estonia,5.893,1.237,1.528,0.874,0.495,0.161
55,,,,,,,,,,,0.107,,,,,,,,,,,,56.0,Jamaica,5.89,0.831,1.478,0.831,0.49,0.028
56,,,,,,,,,,,0.215,,,,,,,,,,,,57.0,Mauritius,5.888,1.12,1.402,0.798,0.498,0.06
57,,,,,,,,,,,0.069,,,,,,,,,,,,58.0,Japan,5.886,1.327,1.419,1.088,0.445,0.14
58,,,,,,,,,,,0.246,,,,,,,,,,,,59.0,Honduras,5.86,0.642,1.236,0.828,0.507,0.078
59,,,,,,,,,,,0.146,,,,,,,,,,,,60.0,Kazakhstan,5.809,1.173,1.508,0.729,0.41,0.096
60,,,,,,,,,,,0.137,,,,,,,,,,,,61.0,Bolivia,5.779,0.776,1.209,0.706,0.511,0.064
61,,,,,,,,,,,0.081,,,,,,,,,,,,62.0,Hungary,5.758,1.201,1.41,0.828,0.199,0.02
62,,,,,,,,,,,0.184,,,,,,,,,,,,63.0,Paraguay,5.743,0.855,1.475,0.777,0.514,0.08
63,,,,,,,,,,,0.191,,,,,,,,,,,,64.0,Northern Cyprus,5.718,1.263,1.252,1.042,0.417,0.162
64,,,,,,,,,,,0.083,,,,,,,,,,,,65.0,Peru,5.697,0.96,1.274,0.854,0.455,0.027
65,,,,,,,,,,,0.047,,,,,,,,,,,,66.0,Portugal,5.693,1.221,1.431,0.999,0.508,0.025
66,,,,,,,,,,,0.22,,,,,,,,,,,,67.0,Pakistan,5.653,0.677,0.886,0.535,0.313,0.098
67,,,,,,,,,,,0.082,,,,,,,,,,,,68.0,Russia,5.648,1.183,1.452,0.726,0.334,0.031
68,,,,,,,,,,,0.117,,,,,,,,,,,,69.0,Philippines,5.631,0.807,1.293,0.657,0.558,0.107
69,,,,,,,,,,,0.137,,,,,,,,,,,,70.0,Serbia,5.603,1.004,1.383,0.854,0.282,0.039
70,,,,,,,,,,,0.181,,,,,,,,,,,,71.0,Moldova,5.529,0.685,1.328,0.739,0.245,0.0
71,,,,,,,,,,,0.133,,,,,,,,,,,,72.0,Libya,5.525,1.044,1.303,0.673,0.416,0.152
72,,,,,,,,,,,0.142,,,,,,,,,,,,73.0,Montenegro,5.523,1.051,1.361,0.871,0.197,0.08
73,,,,,,,,,,,0.23,,,,,,,,,,,,74.0,Tajikistan,5.467,0.493,1.098,0.718,0.389,0.144
74,,,,,,,,,,,0.119,,,,,,,,,,,,75.0,Croatia,5.432,1.155,1.266,0.914,0.296,0.022
75,,,,,,,,,,,0.258,,,,,,,,,,,,76.0,Hong Kong,5.43,1.438,1.277,1.122,0.44,0.287
76,,,,,,,,,,,0.113,,,,,,,,,,,,77.0,Dominican Republic,5.425,1.015,1.401,0.779,0.497,0.101
77,,,,,,,,,,,0.263,,,,,,,,,,,,78.0,Bosnia and Herzegovina,5.386,0.945,1.212,0.845,0.212,0.006
78,,,,,,,,,,,0.083,,,,,,,,,,,,79.0,Turkey,5.373,1.183,1.36,0.808,0.195,0.106
79,,,,,,,,,,,0.26,,,,,,,,,,,,80.0,Malaysia,5.339,1.221,1.171,0.828,0.508,0.024
80,,,,,,,,,,,0.094,,,,,,,,,,,,81.0,Belarus,5.323,1.067,1.465,0.789,0.235,0.142
81,,,,,,,,,,,0.0,,,,,,,,,,,,82.0,Greece,5.287,1.181,1.156,0.999,0.067,0.034
82,,,,,,,,,,,0.235,,,,,,,,,,,,83.0,Mongolia,5.285,0.948,1.531,0.667,0.317,0.038
83,,,,,,,,,,,0.185,,,,,,,,,,,,84.0,North Macedonia,5.274,0.983,1.294,0.838,0.345,0.034
84,,,,,,,,,,,0.215,,,,,,,,,,,,85.0,Nigeria,5.265,0.696,1.111,0.245,0.426,0.041
85,,,,,,,,,,,0.3,,,,,,,,,,,,86.0,Kyrgyzstan,5.261,0.551,1.438,0.723,0.508,0.023
86,,,,,,,,,,,0.244,,,,,,,,,,,,87.0,Turkmenistan,5.247,1.052,1.538,0.657,0.394,0.028
87,,,,,,,,,,,0.073,,,,,,,,,,,,88.0,Algeria,5.211,1.002,1.16,0.785,0.086,0.114
88,,,,,,,,,,,0.036,,,,,,,,,,,,89.0,Morocco,5.208,0.801,0.782,0.782,0.418,0.076
89,,,,,,,,,,,0.035,,,,,,,,,,,,90.0,Azerbaijan,5.208,1.043,1.147,0.769,0.351,0.182
90,,,,,,,,,,,0.166,,,,,,,,,,,,91.0,Lebanon,5.197,0.987,1.224,0.815,0.216,0.027
91,,,,,,,,,,,0.498,,,,,,,,,,,,92.0,Indonesia,5.192,0.931,1.203,0.66,0.491,0.028
92,,,,,,,,,,,0.058,,,,,,,,,,,,93.0,China,5.191,1.029,1.125,0.893,0.521,0.1
93,,,,,,,,,,,0.147,,,,,,,,,,,,94.0,Vietnam,5.175,0.741,1.346,0.851,0.543,0.073
94,,,,,,,,,,,0.37,,,,,,,,,,,,95.0,Bhutan,5.082,0.813,1.321,0.604,0.457,0.167
95,,,,,,,,,,,0.187,,,,,,,,,,,,96.0,Cameroon,5.044,0.549,0.91,0.331,0.381,0.037
96,,,,,,,,,,,0.081,,,,,,,,,,,,97.0,Bulgaria,5.011,1.092,1.513,0.815,0.311,0.004
97,,,,,,,,,,,0.245,,,,,,,,,,,,98.0,Ghana,4.996,0.611,0.868,0.486,0.381,0.04
98,,,,,,,,,,,0.154,,,,,,,,,,,,99.0,Ivory Coast,4.944,0.569,0.808,0.232,0.352,0.09
99,,,,,,,,,,,0.285,,,,,,,,,,,,100.0,Nepal,4.913,0.446,1.226,0.677,0.439,0.089
100,,,,,,,,,,,0.11,,,,,,,,,,,,101.0,Jordan,4.906,0.837,1.225,0.815,0.383,0.13
101,,,,,,,,,,,0.175,,,,,,,,,,,,102.0,Benin,4.883,0.393,0.437,0.397,0.349,0.082
102,,,,,,,,,,,0.105,,,,,,,,,,,,103.0,Congo (Brazzaville),4.812,0.673,0.799,0.508,0.372,0.093
103,,,,,,,,,,,0.043,,,,,,,,,,,,104.0,Gabon,4.799,1.057,1.183,0.571,0.295,0.055
104,,,,,,,,,,,0.266,,,,,,,,,,,,105.0,Laos,4.796,0.764,1.03,0.551,0.547,0.164
105,,,,,,,,,,,0.13,,,,,,,,,,,,106.0,South Africa,4.722,0.96,1.351,0.469,0.389,0.055
106,,,,,,,,,,,0.178,,,,,,,,,,,,107.0,Albania,4.719,0.947,0.848,0.874,0.383,0.027
107,,,,,,,,,,,0.064,,,,,,,,,,,,108.0,Venezuela,4.707,0.96,1.427,0.805,0.154,0.047
108,,,,,,,,,,,0.232,,,,,,,,,,,,109.0,Cambodia,4.7,0.574,1.122,0.637,0.609,0.062
109,,,,,,,,,,,0.103,,,,,,,,,,,,110.0,Palestinian Territories,4.696,0.657,1.247,0.672,0.225,0.066
110,,,,,,,,,,,0.153,,,,,,,,,,,,111.0,Senegal,4.681,0.45,1.134,0.571,0.292,0.072
111,,,,,,,,,,,0.243,,,,,,,,,,,,112.0,Somalia,4.668,0.0,0.698,0.268,0.559,0.27
112,,,,,,,,,,,0.07,,,,,,,,,,,,113.0,Namibia,4.639,0.879,1.313,0.477,0.401,0.056
113,,,,,,,,,,,0.188,,,,,,,,,,,,114.0,Niger,4.628,0.138,0.774,0.366,0.318,0.102
114,,,,,,,,,,,0.177,,,,,,,,,,,,115.0,Burkina Faso,4.587,0.331,1.056,0.38,0.255,0.113
115,,,,,,,,,,,0.095,,,,,,,,,,,,116.0,Armenia,4.559,0.85,1.055,0.815,0.283,0.064
116,,,,,,,,,,,0.27,,,,,,,,,,,,117.0,Iran,4.548,1.1,0.842,0.785,0.305,0.125
117,,,,,,,,,,,0.207,,,,,,,,,,,,118.0,Guinea,4.534,0.38,0.829,0.375,0.332,0.086
118,,,,,,,,,,,0.043,,,,,,,,,,,,119.0,Georgia,4.519,0.886,0.666,0.752,0.346,0.164
119,,,,,,,,,,,0.269,,,,,,,,,,,,120.0,Gambia,4.516,0.308,0.939,0.428,0.382,0.167
120,,,,,,,,,,,0.372,,,,,,,,,,,,121.0,Kenya,4.509,0.512,0.983,0.581,0.431,0.053
121,,,,,,,,,,,0.106,,,,,,,,,,,,122.0,Mauritania,4.49,0.57,1.167,0.489,0.066,0.088
122,,,,,,,,,,,0.197,,,,,,,,,,,,123.0,Mozambique,4.466,0.204,0.986,0.39,0.494,0.138
123,,,,,,,,,,,0.059,,,,,,,,,,,,124.0,Tunisia,4.461,0.921,1.0,0.815,0.167,0.055
124,,,,,,,,,,,0.166,,,,,,,,,,,,125.0,Bangladesh,4.456,0.562,0.928,0.723,0.527,0.143
125,,,,,,,,,,,0.148,,,,,,,,,,,,126.0,Iraq,4.437,1.043,0.98,0.574,0.241,0.089
126,,,,,,,,,,,0.212,,,,,,,,,,,,127.0,Congo (Kinshasa),4.418,0.094,1.125,0.357,0.269,0.053
127,,,,,,,,,,,0.153,,,,,,,,,,,,128.0,Mali,4.39,0.385,1.105,0.308,0.327,0.052
128,,,,,,,,,,,0.252,,,,,,,,,,,,129.0,Sierra Leone,4.374,0.268,0.841,0.242,0.309,0.045
129,,,,,,,,,,,0.244,,,,,,,,,,,,130.0,Sri Lanka,4.366,0.949,1.265,0.831,0.47,0.047
130,,,,,,,,,,,0.566,,,,,,,,,,,,131.0,Myanmar,4.36,0.71,1.181,0.555,0.525,0.172
131,,,,,,,,,,,0.198,,,,,,,,,,,,132.0,Chad,4.35,0.35,0.766,0.192,0.174,0.078
132,,,,,,,,,,,0.187,,,,,,,,,,,,133.0,Ukraine,4.332,0.82,1.39,0.739,0.178,0.01
133,,,,,,,,,,,0.209,,,,,,,,,,,,134.0,Ethiopia,4.286,0.336,1.033,0.532,0.344,0.1
134,,,,,,,,,,,0.074,,,,,,,,,,,,135.0,Swaziland,4.212,0.811,1.149,0.0,0.313,0.135
135,,,,,,,,,,,0.252,,,,,,,,,,,,136.0,Uganda,4.189,0.332,1.069,0.443,0.356,0.06
136,,,,,,,,,,,0.076,,,,,,,,,,,,137.0,Egypt,4.166,0.913,1.039,0.644,0.241,0.067
137,,,,,,,,,,,0.247,,,,,,,,,,,,138.0,Zambia,4.107,0.578,1.058,0.426,0.431,0.087
138,,,,,,,,,,,0.177,,,,,,,,,,,,139.0,Togo,4.085,0.275,0.572,0.41,0.293,0.085
139,,,,,,,,,,,0.2,,,,,,,,,,,,140.0,India,4.015,0.755,0.765,0.588,0.498,0.085
140,,,,,,,,,,,0.233,,,,,,,,,,,,141.0,Liberia,3.975,0.073,0.922,0.443,0.37,0.033
141,,,,,,,,,,,0.275,,,,,,,,,,,,142.0,Comoros,3.973,0.274,0.757,0.505,0.142,0.078
142,,,,,,,,,,,0.169,,,,,,,,,,,,143.0,Madagascar,3.933,0.274,0.916,0.555,0.148,0.041
143,,,,,,,,,,,0.107,,,,,,,,,,,,144.0,Lesotho,3.802,0.489,1.169,0.168,0.359,0.093
144,,,,,,,,,,,0.176,,,,,,,,,,,,145.0,Burundi,3.775,0.046,0.447,0.38,0.22,0.18
145,,,,,,,,,,,0.151,,,,,,,,,,,,146.0,Zimbabwe,3.663,0.366,1.114,0.433,0.361,0.089
146,,,,,,,,,,,0.419,,,,,,,,,,,,147.0,Haiti,3.597,0.323,0.688,0.449,0.026,0.11
147,,,,,,,,,,,0.025,,,,,,,,,,,,148.0,Botswana,3.488,1.041,1.145,0.538,0.455,0.1
148,,,,,,,,,,,0.331,,,,,,,,,,,,149.0,Syria,3.462,0.619,0.378,0.44,0.013,0.141
149,,,,,,,,,,,0.218,,,,,,,,,,,,150.0,Malawi,3.41,0.191,0.56,0.495,0.443,0.089
150,,,,,,,,,,,0.108,,,,,,,,,,,,151.0,Yemen,3.38,0.287,1.163,0.463,0.143,0.077
151,,,,,,,,,,,0.217,,,,,,,,,,,,152.0,Rwanda,3.334,0.359,0.711,0.614,0.555,0.411
152,,,,,,,,,,,0.276,,,,,,,,,,,,153.0,Tanzania,3.231,0.476,0.885,0.499,0.417,0.147
153,,,,,,,,,,,0.158,,,,,,,,,,,,154.0,Afghanistan,3.203,0.35,0.517,0.361,0.0,0.025
154,,,,,,,,,,,0.235,,,,,,,,,,,,155.0,Central African Republic,3.083,0.026,0.0,0.105,0.225,0.035
155,,,,,,,,,,,0.202,,,,,,,,,,,,156.0,South Sudan,2.853,0.306,0.575,0.295,0.01,0.091
1 Unnamed: 0 Country Region Happiness Rank Happiness Score Standard Error Economy (GDP per Capita) Family Health (Life Expectancy) Freedom Trust (Government Corruption) Generosity Dystopia Residual Lower Confidence Interval Upper Confidence Interval Happiness.Rank Happiness.Score Whisker.high Whisker.low Economy..GDP.per.Capita. Health..Life.Expectancy. Trust..Government.Corruption. Dystopia.Residual Overall rank Country or region Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Perceptions of corruption
2 0 Switzerland Western Europe 1.0 7.587 0.03411 1.39651 1.34951 0.94143 0.66557 0.41978 0.29678 2.51738
3 1 Iceland Western Europe 2.0 7.561 0.04884 1.30232 1.40223 0.94784 0.62877 0.14145 0.4363 2.70201
4 2 Denmark Western Europe 3.0 7.527 0.03328 1.32548 1.36058 0.87464 0.64938 0.48357 0.34139 2.49204
5 3 Norway Western Europe 4.0 7.522 0.0388 1.459 1.33095 0.88521 0.66973 0.36503 0.34699 2.46531
6 4 Canada North America 5.0 7.427 0.03553 1.32629 1.32261 0.90563 0.63297 0.32957 0.45811 2.45176
7 5 Finland Western Europe 6.0 7.406 0.0314 1.29025 1.31826 0.88911 0.64169 0.41372 0.23351 2.61955
8 6 Netherlands Western Europe 7.0 7.378 0.02799 1.32944 1.28017 0.89284 0.61576 0.31814 0.4761 2.4657
9 7 Sweden Western Europe 8.0 7.364 0.03157 1.33171 1.28907 0.91087 0.6598 0.43844 0.36262 2.37119
10 8 New Zealand Australia and New Zealand 9.0 7.286 0.03371 1.25018 1.31967 0.90837 0.63938 0.42922 0.47501 2.26425
11 9 Australia Australia and New Zealand 10.0 7.284 0.04083 1.33358 1.30923 0.93156 0.65124 0.35637 0.43562 2.26646
12 10 Israel Middle East and Northern Africa 11.0 7.278 0.0347 1.22857 1.22393 0.91387 0.41319 0.07785 0.33172 3.08854
13 11 Costa Rica Latin America and Caribbean 12.0 7.226 0.04454 0.95578 1.23788 0.86027 0.63376 0.10583 0.25497 3.17728
14 12 Austria Western Europe 13.0 7.2 0.03751 1.33723 1.29704 0.89042 0.62433 0.18676 0.33088 2.5332
15 13 Mexico Latin America and Caribbean 14.0 7.187 0.04176 1.02054 0.91451 0.81444 0.48181 0.21312 0.14074 3.60214
16 14 United States North America 15.0 7.119 0.03839 1.39451 1.24711 0.86179 0.54604 0.1589 0.40105 2.51011
17 15 Brazil Latin America and Caribbean 16.0 6.983 0.04076 0.98124 1.23287 0.69702 0.49049 0.17521 0.14574 3.26001
18 16 Luxembourg Western Europe 17.0 6.946 0.03499 1.56391 1.21963 0.91894 0.61583 0.37798 0.28034 1.96961
19 17 Ireland Western Europe 18.0 6.94 0.03676 1.33596 1.36948 0.89533 0.61777 0.28703 0.45901 1.9757
20 18 Belgium Western Europe 19.0 6.937 0.03595 1.30782 1.28566 0.89667 0.5845 0.2254 0.2225 2.41484
21 19 United Arab Emirates Middle East and Northern Africa 20.0 6.901 0.03729 1.42727 1.12575 0.80925 0.64157 0.38583 0.26428 2.24743
22 20 United Kingdom Western Europe 21.0 6.867 0.01866 1.26637 1.28548 0.90943 0.59625 0.32067 0.51912 1.96994
23 21 Oman Middle East and Northern Africa 22.0 6.853 0.05335 1.36011 1.08182 0.76276 0.63274 0.32524 0.21542 2.47489
24 22 Venezuela Latin America and Caribbean 23.0 6.81 0.06476 1.04424 1.25596 0.72052 0.42908 0.11069 0.05841 3.19131
25 23 Singapore Southeastern Asia 24.0 6.798 0.0378 1.52186 1.02 1.02525 0.54252 0.4921 0.31105 1.88501
26 24 Panama Latin America and Caribbean 25.0 6.786 0.0491 1.06353 1.1985 0.79661 0.5421 0.0927 0.24434 2.84848
27 25 Germany Western Europe 26.0 6.75 0.01848 1.32792 1.29937 0.89186 0.61477 0.21843 0.28214 2.11569
28 26 Chile Latin America and Caribbean 27.0 6.67 0.058 1.10715 1.12447 0.85857 0.44132 0.12869 0.33363 2.67585
29 27 Qatar Middle East and Northern Africa 28.0 6.611 0.06257 1.69042 1.0786 0.79733 0.6404 0.52208 0.32573 1.55674
30 28 France Western Europe 29.0 6.575 0.03512 1.27778 1.26038 0.94579 0.55011 0.20646 0.12332 2.21126
31 29 Argentina Latin America and Caribbean 30.0 6.574 0.04612 1.05351 1.24823 0.78723 0.44974 0.08484 0.11451 2.836
32 30 Czech Republic Central and Eastern Europe 31.0 6.505 0.04168 1.17898 1.20643 0.84483 0.46364 0.02652 0.10686 2.67782
33 31 Uruguay Latin America and Caribbean 32.0 6.485 0.04539 1.06166 1.2089 0.8116 0.60362 0.24558 0.2324 2.32142
34 32 Colombia Latin America and Caribbean 33.0 6.477 0.05051 0.91861 1.24018 0.69077 0.53466 0.0512 0.18401 2.85737
35 33 Thailand Southeastern Asia 34.0 6.455 0.03557 0.9669 1.26504 0.7385 0.55664 0.03187 0.5763 2.31945
36 34 Saudi Arabia Middle East and Northern Africa 35.0 6.411 0.04633 1.39541 1.08393 0.72025 0.31048 0.32524 0.13706 2.43872
37 35 Spain Western Europe 36.0 6.329 0.03468 1.23011 1.31379 0.95562 0.45951 0.06398 0.18227 2.12367
38 36 Malta Western Europe 37.0 6.302 0.04206 1.2074 1.30203 0.88721 0.60365 0.13586 0.51752 1.6488
39 37 Taiwan Eastern Asia 38.0 6.298 0.03868 1.29098 1.07617 0.8753 0.3974 0.08129 0.25376 2.32323
40 38 Kuwait Middle East and Northern Africa 39.0 6.295 0.04456 1.55422 1.16594 0.72492 0.55499 0.25609 0.16228 1.87634
41 39 Suriname Latin America and Caribbean 40.0 6.269 0.09811 0.99534 0.972 0.6082 0.59657 0.13633 0.16991 2.79094
42 40 Trinidad and Tobago Latin America and Caribbean 41.0 6.168 0.10895 1.21183 1.18354 0.61483 0.55884 0.0114 0.31844 2.26882
43 41 El Salvador Latin America and Caribbean 42.0 6.13 0.05618 0.76454 1.02507 0.67737 0.4035 0.11776 0.10692 3.035
44 42 Guatemala Latin America and Caribbean 43.0 6.123 0.05224 0.74553 1.04356 0.64425 0.57733 0.09472 0.27489 2.74255
45 43 Uzbekistan Central and Eastern Europe 44.0 6.003 0.04361 0.63244 1.34043 0.59772 0.65821 0.30826 0.22837 2.23741
46 44 Slovakia Central and Eastern Europe 45.0 5.995 0.04267 1.16891 1.26999 0.78902 0.31751 0.03431 0.16893 2.24639
47 45 Japan Eastern Asia 46.0 5.987 0.03581 1.27074 1.25712 0.99111 0.49615 0.1806 0.10705 1.68435
48 46 South Korea Eastern Asia 47.0 5.984 0.04098 1.24461 0.95774 0.96538 0.33208 0.07857 0.18557 2.21978
49 47 Ecuador Latin America and Caribbean 48.0 5.975 0.04528 0.86402 0.99903 0.79075 0.48574 0.1809 0.11541 2.53942
50 48 Bahrain Middle East and Northern Africa 49.0 5.96 0.05412 1.32376 1.21624 0.74716 0.45492 0.306 0.17362 1.73797
51 49 Italy Western Europe 50.0 5.948 0.03914 1.25114 1.19777 0.95446 0.26236 0.02901 0.22823 2.02518
52 50 Bolivia Latin America and Caribbean 51.0 5.89 0.05642 0.68133 0.97841 0.5392 0.57414 0.088 0.20536 2.82334
53 51 Moldova Central and Eastern Europe 52.0 5.889 0.03799 0.59448 1.01528 0.61826 0.32818 0.01615 0.20951 3.10712
54 52 Paraguay Latin America and Caribbean 53.0 5.878 0.04563 0.75985 1.30477 0.66098 0.53899 0.08242 0.3424 2.18896
55 53 Kazakhstan Central and Eastern Europe 54.0 5.855 0.04114 1.12254 1.12241 0.64368 0.51649 0.08454 0.11827 2.24729
56 54 Slovenia Central and Eastern Europe 55.0 5.848 0.04251 1.18498 1.27385 0.87337 0.60855 0.03787 0.25328 1.61583
57 55 Lithuania Central and Eastern Europe 56.0 5.833 0.03843 1.14723 1.25745 0.73128 0.21342 0.01031 0.02641 2.44649
58 56 Nicaragua Latin America and Caribbean 57.0 5.828 0.05371 0.59325 1.14184 0.74314 0.55475 0.19317 0.27815 2.32407
59 57 Peru Latin America and Caribbean 58.0 5.824 0.04615 0.90019 0.97459 0.73017 0.41496 0.05989 0.14982 2.5945
60 58 Belarus Central and Eastern Europe 59.0 5.813 0.03938 1.03192 1.23289 0.73608 0.37938 0.1909 0.11046 2.1309
61 59 Poland Central and Eastern Europe 60.0 5.791 0.04263 1.12555 1.27948 0.77903 0.53122 0.04212 0.16759 1.86565
62 60 Malaysia Southeastern Asia 61.0 5.77 0.0433 1.12486 1.07023 0.72394 0.53024 0.10501 0.33075 1.88541
63 61 Croatia Central and Eastern Europe 62.0 5.759 0.04394 1.08254 0.79624 0.78805 0.25883 0.0243 0.05444 2.75414
64 62 Libya Middle East and Northern Africa 63.0 5.754 0.07832 1.13145 1.11862 0.7038 0.41668 0.11023 0.18295 2.09066
65 63 Russia Central and Eastern Europe 64.0 5.716 0.03135 1.13764 1.23617 0.66926 0.36679 0.03005 0.00199 2.27394
66 64 Jamaica Latin America and Caribbean 65.0 5.709 0.13693 0.81038 1.15102 0.68741 0.50442 0.02299 0.2123 2.32038
67 65 North Cyprus Western Europe 66.0 5.695 0.05635 1.20806 1.07008 0.92356 0.49027 0.1428 0.26169 1.59888
68 66 Cyprus Western Europe 67.0 5.689 0.0558 1.20813 0.89318 0.92356 0.40672 0.06146 0.30638 1.88931
69 67 Algeria Middle East and Northern Africa 68.0 5.605 0.05099 0.93929 1.07772 0.61766 0.28579 0.17383 0.07822 2.43209
70 68 Kosovo Central and Eastern Europe 69.0 5.589 0.05018 0.80148 0.81198 0.63132 0.24749 0.04741 0.2831 2.76579
71 69 Turkmenistan Central and Eastern Europe 70.0 5.548 0.04175 0.95847 1.22668 0.53886 0.4761 0.30844 0.16979 1.86984
72 70 Mauritius Sub-Saharan Africa 71.0 5.477 0.07197 1.00761 0.98521 0.7095 0.56066 0.07521 0.37744 1.76145
73 71 Hong Kong Eastern Asia 72.0 5.474 0.05051 1.38604 1.05818 1.01328 0.59608 0.37124 0.39478 0.65429
74 72 Estonia Central and Eastern Europe 73.0 5.429 0.04013 1.15174 1.22791 0.77361 0.44888 0.15184 0.0868 1.58782
75 73 Indonesia Southeastern Asia 74.0 5.399 0.02596 0.82827 1.08708 0.63793 0.46611 0.0 0.51535 1.86399
76 74 Vietnam Southeastern Asia 75.0 5.36 0.03107 0.63216 0.91226 0.74676 0.59444 0.10441 0.1686 2.20173
77 75 Turkey Middle East and Northern Africa 76.0 5.332 0.03864 1.06098 0.94632 0.73172 0.22815 0.15746 0.12253 2.08528
78 76 Kyrgyzstan Central and Eastern Europe 77.0 5.286 0.03823 0.47428 1.15115 0.65088 0.43477 0.04232 0.3003 2.2327
79 77 Nigeria Sub-Saharan Africa 78.0 5.268 0.04192 0.65435 0.90432 0.16007 0.34334 0.0403 0.27233 2.89319
80 78 Bhutan Southern Asia 79.0 5.253 0.03225 0.77042 1.10395 0.57407 0.53206 0.15445 0.47998 1.63794
81 79 Azerbaijan Central and Eastern Europe 80.0 5.212 0.03363 1.02389 0.93793 0.64045 0.3703 0.16065 0.07799 2.00073
82 80 Pakistan Southern Asia 81.0 5.194 0.03726 0.59543 0.41411 0.51466 0.12102 0.10464 0.33671 3.10709
83 81 Jordan Middle East and Northern Africa 82.0 5.192 0.04524 0.90198 1.05392 0.69639 0.40661 0.14293 0.11053 1.87996
84 82 Montenegro Central and Eastern Europe 82.0 5.192 0.05235 0.97438 0.90557 0.72521 0.1826 0.14296 0.1614 2.10017
85 83 China Eastern Asia 84.0 5.14 0.02424 0.89012 0.94675 0.81658 0.51697 0.02781 0.08185 1.8604
86 84 Zambia Sub-Saharan Africa 85.0 5.129 0.06988 0.47038 0.91612 0.29924 0.48827 0.12468 0.19591 2.6343
87 85 Romania Central and Eastern Europe 86.0 5.124 0.06607 1.04345 0.88588 0.7689 0.35068 0.00649 0.13748 1.93129
88 86 Serbia Central and Eastern Europe 87.0 5.123 0.04864 0.92053 1.00964 0.74836 0.20107 0.02617 0.19231 2.025
89 87 Portugal Western Europe 88.0 5.102 0.04802 1.15991 1.13935 0.87519 0.51469 0.01078 0.13719 1.26462
90 88 Latvia Central and Eastern Europe 89.0 5.098 0.0464 1.11312 1.09562 0.72437 0.29671 0.06332 0.18226 1.62215
91 89 Philippines Southeastern Asia 90.0 5.073 0.04934 0.70532 1.03516 0.58114 0.62545 0.12279 0.24991 1.7536
92 90 Somaliland region Sub-Saharan Africa 91.0 5.057 0.06161 0.18847 0.95152 0.43873 0.46582 0.39928 0.50318 2.11032
93 91 Morocco Middle East and Northern Africa 92.0 5.013 0.0342 0.73479 0.64095 0.60954 0.41691 0.08546 0.07172 2.45373
94 92 Macedonia Central and Eastern Europe 93.0 5.007 0.05376 0.91851 1.00232 0.73545 0.33457 0.05327 0.22359 1.73933
95 93 Mozambique Sub-Saharan Africa 94.0 4.971 0.07896 0.08308 1.02626 0.09131 0.34037 0.15603 0.22269 3.05137
96 94 Albania Central and Eastern Europe 95.0 4.959 0.05013 0.87867 0.80434 0.81325 0.35733 0.06413 0.14272 1.89894
97 95 Bosnia and Herzegovina Central and Eastern Europe 96.0 4.949 0.06913 0.83223 0.91916 0.79081 0.09245 0.00227 0.24808 2.06367
98 96 Lesotho Sub-Saharan Africa 97.0 4.898 0.09438 0.37545 1.04103 0.07612 0.31767 0.12504 0.16388 2.79832
99 97 Dominican Republic Latin America and Caribbean 98.0 4.885 0.07446 0.89537 1.17202 0.66825 0.57672 0.14234 0.21684 1.21305
100 98 Laos Southeastern Asia 99.0 4.876 0.06698 0.59066 0.73803 0.54909 0.59591 0.24249 0.42192 1.73799
101 99 Mongolia Eastern Asia 100.0 4.874 0.03313 0.82819 1.3006 0.60268 0.43626 0.02666 0.3323 1.34759
102 100 Swaziland Sub-Saharan Africa 101.0 4.867 0.08742 0.71206 1.07284 0.07566 0.30658 0.0306 0.18259 2.48676
103 101 Greece Western Europe 102.0 4.857 0.05062 1.15406 0.92933 0.88213 0.07699 0.01397 0.0 1.80101
104 102 Lebanon Middle East and Northern Africa 103.0 4.839 0.04337 1.02564 0.80001 0.83947 0.33916 0.04582 0.21854 1.57059
105 103 Hungary Central and Eastern Europe 104.0 4.8 0.06107 1.12094 1.20215 0.75905 0.32112 0.02758 0.128 1.24074
106 104 Honduras Latin America and Caribbean 105.0 4.788 0.05648 0.59532 0.95348 0.6951 0.40148 0.06825 0.23027 1.84408
107 105 Tajikistan Central and Eastern Europe 106.0 4.786 0.03198 0.39047 0.85563 0.57379 0.47216 0.15072 0.22974 2.11399
108 106 Tunisia Middle East and Northern Africa 107.0 4.739 0.03589 0.88113 0.60429 0.73793 0.26268 0.06358 0.06431 2.12466
109 107 Palestinian Territories Middle East and Northern Africa 108.0 4.715 0.04394 0.59867 0.92558 0.66015 0.24499 0.12905 0.11251 2.04384
110 108 Bangladesh Southern Asia 109.0 4.694 0.03077 0.39753 0.43106 0.60164 0.4082 0.12569 0.21222 2.51767
111 109 Iran Middle East and Northern Africa 110.0 4.686 0.04449 1.0088 0.54447 0.69805 0.30033 0.05863 0.38086 1.6944
112 110 Ukraine Central and Eastern Europe 111.0 4.681 0.04412 0.79907 1.20278 0.6739 0.25123 0.02961 0.15275 1.5714
113 111 Iraq Middle East and Northern Africa 112.0 4.677 0.05232 0.98549 0.81889 0.60237 0.0 0.13788 0.17922 1.95335
114 112 South Africa Sub-Saharan Africa 113.0 4.642 0.04585 0.92049 1.18468 0.27688 0.33207 0.08884 0.11973 1.71956
115 113 Ghana Sub-Saharan Africa 114.0 4.633 0.04742 0.54558 0.67954 0.40132 0.42342 0.04355 0.23087 2.30919
116 114 Zimbabwe Sub-Saharan Africa 115.0 4.61 0.0429 0.271 1.03276 0.33475 0.25861 0.08079 0.18987 2.44191
117 115 Liberia Sub-Saharan Africa 116.0 4.571 0.11068 0.0712 0.78968 0.34201 0.28531 0.06232 0.24362 2.77729
118 116 India Southern Asia 117.0 4.565 0.02043 0.64499 0.38174 0.51529 0.39786 0.08492 0.26475 2.27513
119 117 Sudan Sub-Saharan Africa 118.0 4.55 0.0674 0.52107 1.01404 0.36878 0.10081 0.1466 0.19062 2.20857
120 118 Haiti Latin America and Caribbean 119.0 4.518 0.07331 0.26673 0.74302 0.38847 0.24425 0.17175 0.46187 2.24173
121 119 Congo (Kinshasa) Sub-Saharan Africa 120.0 4.517 0.0368 0.0 1.0012 0.09806 0.22605 0.07625 0.24834 2.86712
122 120 Nepal Southern Asia 121.0 4.514 0.03607 0.35997 0.86449 0.56874 0.38282 0.05907 0.32296 1.95637
123 121 Ethiopia Sub-Saharan Africa 122.0 4.512 0.0378 0.19073 0.60406 0.44055 0.4345 0.15048 0.24325 2.44876
124 122 Sierra Leone Sub-Saharan Africa 123.0 4.507 0.07068 0.33024 0.95571 0.0 0.4084 0.08786 0.21488 2.51009
125 123 Mauritania Sub-Saharan Africa 124.0 4.436 0.03947 0.45407 0.86908 0.35874 0.24232 0.17461 0.219 2.11773
126 124 Kenya Sub-Saharan Africa 125.0 4.419 0.04734 0.36471 0.99876 0.41435 0.42215 0.05839 0.37542 1.78555
127 125 Djibouti Sub-Saharan Africa 126.0 4.369 0.08096 0.44025 0.59207 0.36291 0.46074 0.28105 0.18093 2.05125
128 126 Armenia Central and Eastern Europe 127.0 4.35 0.04763 0.76821 0.77711 0.7299 0.19847 0.039 0.07855 1.75873
129 127 Botswana Sub-Saharan Africa 128.0 4.332 0.04934 0.99355 1.10464 0.04776 0.49495 0.12474 0.10461 1.46181
130 128 Myanmar Southeastern Asia 129.0 4.307 0.04351 0.27108 0.70905 0.48246 0.44017 0.19034 0.79588 1.41805
131 129 Georgia Central and Eastern Europe 130.0 4.297 0.04221 0.7419 0.38562 0.72926 0.40577 0.38331 0.05547 1.59541
132 130 Malawi Sub-Saharan Africa 131.0 4.292 0.0613 0.01604 0.41134 0.22562 0.43054 0.06977 0.33128 2.80791
133 131 Sri Lanka Southern Asia 132.0 4.271 0.03751 0.83524 1.01905 0.70806 0.53726 0.09179 0.40828 0.67108
134 132 Cameroon Sub-Saharan Africa 133.0 4.252 0.04678 0.4225 0.88767 0.23402 0.49309 0.05786 0.20618 1.95071
135 133 Bulgaria Central and Eastern Europe 134.0 4.218 0.04828 1.01216 1.10614 0.76649 0.30587 0.00872 0.11921 0.89991
136 134 Egypt Middle East and Northern Africa 135.0 4.194 0.0326 0.8818 0.747 0.61712 0.17288 0.06324 0.11291 1.59927
137 135 Yemen Middle East and Northern Africa 136.0 4.077 0.04367 0.54649 0.68093 0.40064 0.35571 0.07854 0.09131 1.92313
138 136 Angola Sub-Saharan Africa 137.0 4.033 0.04758 0.75778 0.8604 0.16683 0.10384 0.07122 0.12344 1.94939
139 137 Mali Sub-Saharan Africa 138.0 3.995 0.05602 0.26074 1.03526 0.20583 0.38857 0.12352 0.18798 1.79293
140 138 Congo (Brazzaville) Sub-Saharan Africa 139.0 3.989 0.06682 0.67866 0.6629 0.31051 0.41466 0.11686 0.12388 1.68135
141 139 Comoros Sub-Saharan Africa 140.0 3.956 0.04797 0.23906 0.79273 0.36315 0.22917 0.199 0.17441 1.95812
142 140 Uganda Sub-Saharan Africa 141.0 3.931 0.04317 0.21102 1.13299 0.33861 0.45727 0.07267 0.29066 1.42766
143 141 Senegal Sub-Saharan Africa 142.0 3.904 0.03608 0.36498 0.97619 0.4354 0.36772 0.10713 0.20843 1.44395
144 142 Gabon Sub-Saharan Africa 143.0 3.896 0.04547 1.06024 0.90528 0.43372 0.31914 0.11091 0.06822 0.99895
145 143 Niger Sub-Saharan Africa 144.0 3.845 0.03602 0.0694 0.77265 0.29707 0.47692 0.15639 0.19387 1.87877
146 144 Cambodia Southeastern Asia 145.0 3.819 0.05069 0.46038 0.62736 0.61114 0.66246 0.07247 0.40359 0.98195
147 145 Tanzania Sub-Saharan Africa 146.0 3.781 0.05061 0.2852 1.00268 0.38215 0.32878 0.05747 0.34377 1.38079
148 146 Madagascar Sub-Saharan Africa 147.0 3.681 0.03633 0.20824 0.66801 0.46721 0.19184 0.08124 0.21333 1.851
149 147 Central African Republic Sub-Saharan Africa 148.0 3.678 0.06112 0.0785 0.0 0.06699 0.48879 0.08289 0.23835 2.7223
150 148 Chad Sub-Saharan Africa 149.0 3.667 0.0383 0.34193 0.76062 0.1501 0.23501 0.05269 0.18386 1.94296
151 149 Guinea Sub-Saharan Africa 150.0 3.656 0.0359 0.17417 0.46475 0.24009 0.37725 0.12139 0.28657 1.99172
152 150 Ivory Coast Sub-Saharan Africa 151.0 3.655 0.05141 0.46534 0.77115 0.15185 0.46866 0.17922 0.20165 1.41723
153 151 Burkina Faso Sub-Saharan Africa 152.0 3.587 0.04324 0.25812 0.85188 0.27125 0.39493 0.12832 0.21747 1.46494
154 152 Afghanistan Southern Asia 153.0 3.575 0.03084 0.31982 0.30285 0.30335 0.23414 0.09719 0.3651 1.9521
155 153 Rwanda Sub-Saharan Africa 154.0 3.465 0.03464 0.22208 0.7737 0.42864 0.59201 0.55191 0.22628 0.67042
156 154 Benin Sub-Saharan Africa 155.0 3.34 0.03656 0.28665 0.35386 0.3191 0.4845 0.0801 0.1826 1.63328
157 155 Syria Middle East and Northern Africa 156.0 3.006 0.05015 0.6632 0.47489 0.72193 0.15684 0.18906 0.47179 0.32858
158 156 Burundi Sub-Saharan Africa 157.0 2.905 0.08658 0.0153 0.41587 0.22396 0.1185 0.10062 0.19727 1.83302
159 157 Togo Sub-Saharan Africa 158.0 2.839 0.06727 0.20868 0.13995 0.28443 0.36453 0.10731 0.16681 1.56726
160 0 Denmark Western Europe 1.0 7.526 1.44178 1.16374 0.79504 0.57941 0.44453 0.36171 2.73939 7.46 7.592
161 1 Switzerland Western Europe 2.0 7.509 1.52733 1.14524 0.86303 0.58557 0.41203 0.28083 2.69463 7.428 7.59
162 2 Iceland Western Europe 3.0 7.501 1.42666 1.18326 0.86733 0.56624 0.14975 0.47678 2.83137 7.333 7.669
163 3 Norway Western Europe 4.0 7.498 1.57744 1.1269 0.79579 0.59609 0.35776 0.37895 2.66465 7.421 7.575
164 4 Finland Western Europe 5.0 7.413 1.40598 1.13464 0.81091 0.57104 0.41004 0.25492 2.82596 7.351 7.475
165 5 Canada North America 6.0 7.404 1.44015 1.0961 0.8276 0.5737 0.31329 0.44834 2.70485 7.335 7.473
166 6 Netherlands Western Europe 7.0 7.339 1.46468 1.02912 0.81231 0.55211 0.29927 0.47416 2.70749 7.284 7.394
167 7 New Zealand Australia and New Zealand 8.0 7.334 1.36066 1.17278 0.83096 0.58147 0.41904 0.49401 2.47553 7.264 7.404
168 8 Australia Australia and New Zealand 9.0 7.313 1.44443 1.10476 0.8512 0.56837 0.32331 0.47407 2.5465 7.241 7.385
169 9 Sweden Western Europe 10.0 7.291 1.45181 1.08764 0.83121 0.58218 0.40867 0.38254 2.54734 7.227 7.355
170 10 Israel Middle East and Northern Africa 11.0 7.267 1.33766 0.99537 0.84917 0.36432 0.08728 0.32288 3.31029 7.199 7.335
171 11 Austria Western Europe 12.0 7.119 1.45038 1.08383 0.80565 0.54355 0.21348 0.32865 2.69343 7.045 7.193
172 12 United States North America 13.0 7.104 1.50796 1.04782 0.779 0.48163 0.14868 0.41077 2.72782 7.02 7.188
173 13 Costa Rica Latin America and Caribbean 14.0 7.087 1.06879 1.02152 0.76146 0.55225 0.10547 0.22553 3.35168 6.999 7.175
174 14 Puerto Rico Latin America and Caribbean 15.0 7.039 1.35943 1.08113 0.77758 0.46823 0.12275 0.22202 3.0076 6.794 7.284
175 15 Germany Western Europe 16.0 6.994 1.44787 1.09774 0.81487 0.53466 0.28551 0.30452 2.50931 6.93 7.058
176 16 Brazil Latin America and Caribbean 17.0 6.952 1.08754 1.03938 0.61415 0.40425 0.14166 0.15776 3.50733 6.875 7.029
177 17 Belgium Western Europe 18.0 6.929 1.42539 1.05249 0.81959 0.51354 0.26248 0.2424 2.61355 6.861 6.997
178 18 Ireland Western Europe 19.0 6.907 1.48341 1.16157 0.81455 0.54008 0.29754 0.44963 2.15988 6.836 6.978
179 19 Luxembourg Western Europe 20.0 6.871 1.69752 1.03999 0.84542 0.5487 0.35329 0.27571 2.11055 6.804 6.938
180 20 Mexico Latin America and Caribbean 21.0 6.778 1.11508 0.7146 0.71143 0.37709 0.18355 0.11735 3.55906 6.68 6.876
181 21 Singapore Southeastern Asia 22.0 6.739 1.64555 0.86758 0.94719 0.4877 0.46987 0.32706 1.99375 6.674 6.804
182 22 United Kingdom Western Europe 23.0 6.725 1.40283 1.08672 0.80991 0.50036 0.27399 0.50156 2.14999 6.647 6.803
183 23 Chile Latin America and Caribbean 24.0 6.705 1.2167 0.90587 0.81883 0.37789 0.11451 0.31595 2.95505 6.615 6.795
184 24 Panama Latin America and Caribbean 25.0 6.701 1.18306 0.98912 0.70835 0.48927 0.08423 0.2418 3.00559 6.601 6.801
185 25 Argentina Latin America and Caribbean 26.0 6.65 1.15137 1.06612 0.69711 0.42284 0.07296 0.10989 3.12985 6.56 6.74
186 26 Czech Republic Central and Eastern Europe 27.0 6.596 1.30915 1.00793 0.76376 0.41418 0.03986 0.09929 2.96211 6.515 6.677
187 27 United Arab Emirates Middle East and Northern Africa 28.0 6.573 1.57352 0.87114 0.72993 0.56215 0.35561 0.26591 2.21507 6.494 6.652
188 28 Uruguay Latin America and Caribbean 29.0 6.545 1.18157 1.03143 0.72183 0.54388 0.21394 0.18056 2.67139 6.456 6.634
189 29 Malta Western Europe 30.0 6.488 1.30782 1.09879 0.80315 0.54994 0.17554 0.56237 1.99032 6.409 6.567
190 30 Colombia Latin America and Caribbean 31.0 6.481 1.03032 1.02169 0.59659 0.44735 0.05399 0.15626 3.17471 6.384 6.578
191 31 France Western Europe 32.0 6.478 1.39488 1.00508 0.83795 0.46562 0.17808 0.1216 2.4744 6.397 6.559
192 32 Thailand Southeastern Asia 33.0 6.474 1.0893 1.04477 0.64915 0.49553 0.02833 0.58696 2.5796 6.396 6.552
193 33 Saudi Arabia Middle East and Northern Africa 34.0 6.379 1.48953 0.84829 0.59267 0.37904 0.30008 0.15457 2.61482 6.287 6.471
194 34 Taiwan Eastern Asia 34.0 6.379 1.39729 0.92624 0.79565 0.32377 0.0663 0.25495 2.61523 6.305 6.453
195 35 Qatar Middle East and Northern Africa 36.0 6.375 1.82427 0.87964 0.71723 0.56679 0.48049 0.32388 1.58224 6.178 6.572
196 36 Spain Western Europe 37.0 6.361 1.34253 1.12945 0.87896 0.37545 0.06137 0.17665 2.39663 6.288 6.434
197 37 Algeria Middle East and Northern Africa 38.0 6.355 1.05266 0.83309 0.61804 0.21006 0.16157 0.07044 3.40904 6.227 6.483
198 38 Guatemala Latin America and Caribbean 39.0 6.324 0.83454 0.87119 0.54039 0.50379 0.08701 0.28808 3.19863 6.213 6.435
199 39 Suriname Latin America and Caribbean 40.0 6.269 1.09686 0.77866 0.50933 0.52234 0.12692 0.16665 3.06852 6.073 6.465
200 40 Kuwait Middle East and Northern Africa 41.0 6.239 1.61714 0.87758 0.63569 0.43166 0.23669 0.15965 2.28085 6.154 6.324
201 41 Bahrain Middle East and Northern Africa 42.0 6.218 1.44024 0.94397 0.65696 0.47375 0.25772 0.17147 2.27405 6.128 6.308
202 42 Trinidad and Tobago Latin America and Caribbean 43.0 6.168 1.32572 0.98569 0.52608 0.48453 0.01241 0.31935 2.51394 5.95 6.386
203 43 Venezuela Latin America and Caribbean 44.0 6.084 1.13367 1.03302 0.61904 0.19847 0.08304 0.0425 2.97468 5.973 6.195
204 44 Slovakia Central and Eastern Europe 45.0 6.078 1.27973 1.08268 0.70367 0.23391 0.02947 0.13837 2.61065 5.996 6.16
205 45 El Salvador Latin America and Caribbean 46.0 6.068 0.8737 0.80975 0.596 0.37269 0.10613 0.08877 3.22134 5.967 6.169
206 46 Malaysia Southeastern Asia 47.0 6.005 1.25142 0.88025 0.62366 0.39031 0.09081 0.41474 2.35384 5.921 6.089
207 47 Nicaragua Latin America and Caribbean 48.0 5.992 0.69384 0.89521 0.65213 0.46582 0.16292 0.29773 2.82428 5.877 6.107
208 48 Uzbekistan Central and Eastern Europe 49.0 5.987 0.73591 1.1681 0.50163 0.60848 0.28333 0.34326 2.34638 5.896 6.078
209 49 Italy Western Europe 50.0 5.977 1.35495 1.04167 0.85102 0.18827 0.02556 0.16684 2.34918 5.898 6.056
210 50 Ecuador Latin America and Caribbean 51.0 5.976 0.97306 0.85974 0.68613 0.4027 0.18037 0.10074 2.77366 5.88 6.072
211 51 Belize Latin America and Caribbean 52.0 5.956 0.87616 0.68655 0.45569 0.51231 0.10771 0.23684 3.08039 5.71 6.202
212 52 Japan Eastern Asia 53.0 5.921 1.38007 1.06054 0.91491 0.46761 0.18985 0.10224 1.80584 5.85 5.992
213 53 Kazakhstan Central and Eastern Europe 54.0 5.919 1.22943 0.95544 0.57386 0.4052 0.11132 0.15011 2.49325 5.837 6.001
214 54 Moldova Central and Eastern Europe 55.0 5.897 0.69177 0.83132 0.52309 0.25202 0.01903 0.19997 3.38007 5.823 5.971
215 55 Russia Central and Eastern Europe 56.0 5.856 1.23228 1.05261 0.58991 0.32682 0.03586 0.02736 2.59115 5.789 5.923
216 56 Poland Central and Eastern Europe 57.0 5.835 1.24585 1.04685 0.69058 0.4519 0.055 0.14443 2.20035 5.749 5.921
217 57 South Korea Eastern Asia 57.0 5.835 1.35948 0.72194 0.88645 0.25168 0.07716 0.18824 2.35015 5.747 5.923
218 58 Bolivia Latin America and Caribbean 59.0 5.822 0.79422 0.83779 0.4697 0.50961 0.07746 0.21698 2.91635 5.74 5.904
219 59 Lithuania Central and Eastern Europe 60.0 5.813 1.2692 1.06411 0.64674 0.18929 0.0182 0.02025 2.60525 5.734 5.892
220 60 Belarus Central and Eastern Europe 61.0 5.802 1.13062 1.04993 0.63104 0.29091 0.17457 0.13942 2.38582 5.723 5.881
221 61 North Cyprus Western Europe 62.0 5.771 1.31141 0.81826 0.84142 0.43596 0.16578 0.26322 1.93447 5.67 5.872
222 62 Slovenia Central and Eastern Europe 63.0 5.768 1.29947 1.05613 0.79151 0.53164 0.03635 0.25738 1.79522 5.683 5.853
223 63 Peru Latin America and Caribbean 64.0 5.743 0.99602 0.81255 0.62994 0.37502 0.05292 0.14527 2.73117 5.647 5.839
224 64 Turkmenistan Central and Eastern Europe 65.0 5.658 1.08017 1.03817 0.44006 0.37408 0.28467 0.22567 2.21489 5.58 5.736
225 65 Mauritius Sub-Saharan Africa 66.0 5.648 1.14372 0.75695 0.66189 0.46145 0.05203 0.36951 2.20223 5.507 5.789
226 66 Libya Middle East and Northern Africa 67.0 5.615 1.06688 0.95076 0.52304 0.40672 0.10339 0.17087 2.39374 5.406 5.824
227 67 Latvia Central and Eastern Europe 68.0 5.56 1.21788 0.95025 0.63952 0.27996 0.0889 0.17445 2.20859 5.486 5.634
228 68 Cyprus Western Europe 69.0 5.546 1.31857 0.70697 0.8488 0.29507 0.05228 0.27906 2.04497 5.442 5.65
229 69 Paraguay Latin America and Caribbean 70.0 5.538 0.89373 1.11111 0.58295 0.46235 0.07396 0.25296 2.16091 5.453 5.623
230 70 Romania Central and Eastern Europe 71.0 5.528 1.1697 0.72803 0.67602 0.36712 0.00679 0.12889 2.45184 5.427 5.629
231 71 Estonia Central and Eastern Europe 72.0 5.517 1.27964 1.05163 0.68098 0.41511 0.18519 0.08423 1.81985 5.437 5.597
232 72 Jamaica Latin America and Caribbean 73.0 5.51 0.89333 0.96372 0.59469 0.43597 0.04294 0.22245 2.35682 5.315 5.705
233 73 Croatia Central and Eastern Europe 74.0 5.488 1.18649 0.60809 0.70524 0.23907 0.04002 0.18434 2.52462 5.402 5.574
234 74 Hong Kong Eastern Asia 75.0 5.458 1.5107 0.87021 0.95277 0.48079 0.31647 0.40097 0.92614 5.362 5.554
235 75 Somalia Sub-Saharan Africa 76.0 5.44 0.0 0.33613 0.11466 0.56778 0.3118 0.27225 3.83772 5.321 5.559
236 76 Kosovo Central and Eastern Europe 77.0 5.401 0.90145 0.66062 0.54 0.14396 0.06547 0.27992 2.80998 5.308 5.494
237 77 Turkey Middle East and Northern Africa 78.0 5.389 1.16492 0.87717 0.64718 0.23889 0.12348 0.04707 2.29074 5.295 5.483
238 78 Indonesia Southeastern Asia 79.0 5.314 0.95104 0.87625 0.49374 0.39237 0.00322 0.56521 2.03171 5.237 5.391
239 79 Jordan Middle East and Northern Africa 80.0 5.303 0.99673 0.86216 0.60712 0.36023 0.13297 0.14262 2.20142 5.187 5.419
240 80 Azerbaijan Central and Eastern Europe 81.0 5.291 1.12373 0.76042 0.54504 0.35327 0.17914 0.0564 2.2735 5.226 5.356
241 81 Philippines Southeastern Asia 82.0 5.279 0.81217 0.87877 0.47036 0.54854 0.11757 0.21674 2.23484 5.16 5.398
242 82 China Eastern Asia 83.0 5.245 1.0278 0.79381 0.73561 0.44012 0.02745 0.04959 2.17087 5.199 5.291
243 83 Bhutan Southern Asia 84.0 5.196 0.8527 0.90836 0.49759 0.46074 0.1616 0.48546 1.82916 5.138 5.254
244 84 Kyrgyzstan Central and Eastern Europe 85.0 5.185 0.56044 0.95434 0.55449 0.40212 0.04762 0.38432 2.28136 5.103 5.267
245 85 Serbia Central and Eastern Europe 86.0 5.177 1.03437 0.81329 0.6458 0.15718 0.04339 0.20737 2.27539 5.083 5.271
246 86 Bosnia and Herzegovina Central and Eastern Europe 87.0 5.163 0.93383 0.64367 0.70766 0.09511 0.0 0.29889 2.48406 5.063 5.263
247 87 Montenegro Central and Eastern Europe 88.0 5.161 1.07838 0.74173 0.63533 0.15111 0.12721 0.17191 2.25531 5.055 5.267
248 88 Dominican Republic Latin America and Caribbean 89.0 5.155 1.02787 0.99496 0.57669 0.52259 0.12372 0.21286 1.69626 5.037 5.273
249 89 Morocco Middle East and Northern Africa 90.0 5.151 0.84058 0.38595 0.59471 0.25646 0.08404 0.04053 2.94891 5.058 5.244
250 90 Hungary Central and Eastern Europe 91.0 5.145 1.24142 0.93164 0.67608 0.1977 0.04472 0.099 1.95473 5.056 5.234
251 91 Pakistan Southern Asia 92.0 5.132 0.68816 0.26135 0.40306 0.14622 0.1388 0.31185 3.18286 5.038 5.226
252 92 Lebanon Middle East and Northern Africa 93.0 5.129 1.12268 0.64184 0.76171 0.26228 0.03061 0.23693 2.07339 5.031 5.227
253 93 Portugal Western Europe 94.0 5.123 1.27607 0.94367 0.79363 0.44727 0.01521 0.11691 1.53015 5.03 5.216
254 94 Macedonia Central and Eastern Europe 95.0 5.121 1.0193 0.78236 0.64738 0.27668 0.07047 0.23507 2.08947 5.017 5.225
255 95 Vietnam Southeastern Asia 96.0 5.061 0.74037 0.79117 0.66157 0.55954 0.11556 0.25075 1.9418 4.991 5.131
256 96 Somaliland Region Sub-Saharan Africa 97.0 5.057 0.25558 0.75862 0.33108 0.3913 0.36794 0.51479 2.43801 4.934 5.18
257 97 Tunisia Middle East and Northern Africa 98.0 5.045 0.97724 0.43165 0.59577 0.23553 0.0817 0.03936 2.68413 4.965 5.125
258 98 Greece Western Europe 99.0 5.033 1.24886 0.75473 0.80029 0.05822 0.04127 0.0 2.12944 4.935 5.131
259 99 Tajikistan Central and Eastern Europe 100.0 4.996 0.48835 0.75602 0.53119 0.43408 0.13509 0.25998 2.39106 4.923 5.069
260 100 Mongolia Eastern Asia 101.0 4.907 0.98853 1.08983 0.55469 0.35972 0.03285 0.34539 1.53586 4.838 4.976
261 101 Laos Southeastern Asia 102.0 4.876 0.68042 0.5497 0.38291 0.52168 0.22423 0.43079 2.08637 4.742 5.01
262 102 Nigeria Sub-Saharan Africa 103.0 4.875 0.75216 0.64498 0.05108 0.27854 0.0305 0.23219 2.88586 4.75 5.0
263 103 Honduras Latin America and Caribbean 104.0 4.871 0.69429 0.75596 0.58383 0.26755 0.06906 0.2044 2.29551 4.75 4.992
264 104 Iran Middle East and Northern Africa 105.0 4.813 1.11758 0.38857 0.64232 0.22544 0.0557 0.38538 1.99817 4.703 4.923
265 105 Zambia Sub-Saharan Africa 106.0 4.795 0.61202 0.6376 0.23573 0.42662 0.11479 0.17866 2.58991 4.645 4.945
266 106 Nepal Southern Asia 107.0 4.793 0.44626 0.69699 0.50073 0.37012 0.07008 0.3816 2.32694 4.698 4.888
267 107 Palestinian Territories Middle East and Northern Africa 108.0 4.754 0.67024 0.71629 0.56844 0.17744 0.10613 0.11154 2.40364 4.649 4.859
268 108 Albania Central and Eastern Europe 109.0 4.655 0.9553 0.50163 0.73007 0.31866 0.05301 0.1684 1.92816 4.546 4.764
269 109 Bangladesh Southern Asia 110.0 4.643 0.54177 0.24749 0.52989 0.39778 0.12583 0.19132 2.60904 4.56 4.726
270 110 Sierra Leone Sub-Saharan Africa 111.0 4.635 0.36485 0.628 0.0 0.30685 0.08196 0.23897 3.01402 4.505 4.765
271 111 Iraq Middle East and Northern Africa 112.0 4.575 1.07474 0.59205 0.51076 0.24856 0.13636 0.19589 1.81657 4.446 4.704
272 112 Namibia Sub-Saharan Africa 113.0 4.574 0.93287 0.70362 0.34745 0.48614 0.10398 0.07795 1.92198 4.374 4.774
273 113 Cameroon Sub-Saharan Africa 114.0 4.513 0.52497 0.62542 0.12698 0.42736 0.06126 0.2268 2.5198 4.417 4.609
274 114 Ethiopia Sub-Saharan Africa 115.0 4.508 0.29283 0.37932 0.34578 0.36703 0.1717 0.29522 2.65614 4.425 4.591
275 115 South Africa Sub-Saharan Africa 116.0 4.459 1.02416 0.96053 0.18611 0.42483 0.08415 0.13656 1.64227 4.371 4.547
276 116 Sri Lanka Southern Asia 117.0 4.415 0.97318 0.84783 0.62007 0.50817 0.07964 0.46978 0.91681 4.322 4.508
277 117 India Southern Asia 118.0 4.404 0.74036 0.29247 0.45091 0.40285 0.08722 0.25028 2.18032 4.351 4.457
278 118 Myanmar Southeastern Asia 119.0 4.395 0.34112 0.69981 0.3988 0.42692 0.20243 0.81971 1.50655 4.327 4.463
279 119 Egypt Middle East and Northern Africa 120.0 4.362 0.95395 0.49813 0.52116 0.18847 0.10393 0.12706 1.96895 4.259 4.465
280 120 Armenia Central and Eastern Europe 121.0 4.36 0.86086 0.62477 0.64083 0.14037 0.03616 0.07793 1.97864 4.266 4.454
281 121 Kenya Sub-Saharan Africa 122.0 4.356 0.52267 0.7624 0.30147 0.40576 0.06686 0.41328 1.88326 4.259 4.453
282 122 Ukraine Central and Eastern Europe 123.0 4.324 0.87287 1.01413 0.58628 0.12859 0.01829 0.20363 1.50066 4.236 4.412
283 123 Ghana Sub-Saharan Africa 124.0 4.276 0.63107 0.49353 0.29681 0.40973 0.0326 0.21203 2.2002 4.185 4.367
284 124 Congo (Kinshasa) Sub-Saharan Africa 125.0 4.272 0.05661 0.80676 0.188 0.15602 0.06075 0.25458 2.74924 4.191 4.353
285 125 Georgia Central and Eastern Europe 126.0 4.252 0.83792 0.19249 0.64035 0.32461 0.3188 0.06786 1.87031 4.164 4.34
286 126 Congo (Brazzaville) Sub-Saharan Africa 127.0 4.236 0.77109 0.47799 0.28212 0.37938 0.09753 0.12077 2.10681 4.107 4.365
287 127 Senegal Sub-Saharan Africa 128.0 4.219 0.44314 0.77416 0.40457 0.31056 0.11681 0.19103 1.97861 4.151 4.287
288 128 Bulgaria Central and Eastern Europe 129.0 4.217 1.11306 0.92542 0.67806 0.21219 0.00615 0.12793 1.15377 4.104 4.33
289 129 Mauritania Sub-Saharan Africa 130.0 4.201 0.61391 0.84142 0.28639 0.1268 0.17955 0.22686 1.9263 4.127 4.275
290 130 Zimbabwe Sub-Saharan Africa 131.0 4.193 0.35041 0.71478 0.1595 0.25429 0.08582 0.18503 2.4427 4.101 4.285
291 131 Malawi Sub-Saharan Africa 132.0 4.156 0.08709 0.147 0.29364 0.4143 0.07564 0.30968 2.82859 4.041 4.271
292 132 Sudan Sub-Saharan Africa 133.0 4.139 0.63069 0.81928 0.29759 0.0 0.10039 0.18077 2.10995 3.928 4.35
293 133 Gabon Sub-Saharan Africa 134.0 4.121 1.15851 0.72368 0.3494 0.28098 0.09314 0.06244 1.45332 4.03 4.212
294 134 Mali Sub-Saharan Africa 135.0 4.073 0.31292 0.86333 0.16347 0.27544 0.13647 0.21064 2.11087 3.988 4.158
295 135 Haiti Latin America and Caribbean 136.0 4.028 0.34097 0.29561 0.27494 0.12072 0.14476 0.47958 2.37116 3.893 4.163
296 136 Botswana Sub-Saharan Africa 137.0 3.974 1.09426 0.89186 0.34752 0.44089 0.10769 0.12425 0.96741 3.875 4.073
297 137 Comoros Sub-Saharan Africa 138.0 3.956 0.27509 0.60323 0.29981 0.15412 0.18437 0.1827 2.25632 3.86 4.052
298 138 Ivory Coast Sub-Saharan Africa 139.0 3.916 0.55507 0.57576 0.04476 0.40663 0.1553 0.20338 1.97478 3.826 4.006
299 139 Cambodia Southeastern Asia 140.0 3.907 0.55604 0.5375 0.42494 0.58852 0.08092 0.40339 1.31573 3.798 4.016
300 140 Angola Sub-Saharan Africa 141.0 3.866 0.84731 0.66366 0.04991 0.00589 0.08434 0.12071 2.09459 3.753 3.979
301 141 Niger Sub-Saharan Africa 142.0 3.856 0.1327 0.6053 0.26162 0.38041 0.17176 0.2097 2.09469 3.781 3.931
302 142 South Sudan Sub-Saharan Africa 143.0 3.832 0.39394 0.18519 0.15781 0.19662 0.13015 0.25899 2.50929 3.596 4.068
303 143 Chad Sub-Saharan Africa 144.0 3.763 0.42214 0.63178 0.03824 0.12807 0.04952 0.18667 2.30637 3.672 3.854
304 144 Burkina Faso Sub-Saharan Africa 145.0 3.739 0.31995 0.63054 0.21297 0.3337 0.12533 0.24353 1.87319 3.647 3.831
305 145 Uganda Sub-Saharan Africa 145.0 3.739 0.34719 0.90981 0.19625 0.43653 0.06442 0.27102 1.51416 3.629 3.849
306 146 Yemen Middle East and Northern Africa 147.0 3.724 0.57939 0.47493 0.31048 0.2287 0.05892 0.09821 1.97295 3.621 3.827
307 147 Madagascar Sub-Saharan Africa 148.0 3.695 0.27954 0.46115 0.37109 0.13684 0.07506 0.2204 2.15075 3.621 3.769
308 148 Tanzania Sub-Saharan Africa 149.0 3.666 0.47155 0.77623 0.357 0.3176 0.05099 0.31472 1.37769 3.561 3.771
309 149 Liberia Sub-Saharan Africa 150.0 3.622 0.10706 0.50353 0.23165 0.25748 0.04852 0.24063 2.23284 3.463 3.781
310 150 Guinea Sub-Saharan Africa 151.0 3.607 0.22415 0.3109 0.18829 0.30953 0.1192 0.29914 2.15604 3.533 3.681
311 151 Rwanda Sub-Saharan Africa 152.0 3.515 0.32846 0.61586 0.31865 0.5432 0.50521 0.23552 0.96819 3.444 3.586
312 152 Benin Sub-Saharan Africa 153.0 3.484 0.39499 0.10419 0.21028 0.39747 0.06681 0.2018 2.10812 3.404 3.564
313 153 Afghanistan Southern Asia 154.0 3.36 0.38227 0.11037 0.17344 0.1643 0.07112 0.31268 2.14558 3.288 3.432
314 154 Togo Sub-Saharan Africa 155.0 3.303 0.28123 0.0 0.24811 0.34678 0.11587 0.17517 2.1354 3.192 3.414
315 155 Syria Middle East and Northern Africa 156.0 3.069 0.74719 0.14866 0.62994 0.06912 0.17233 0.48397 0.81789 2.936 3.202
316 156 Burundi Sub-Saharan Africa 157.0 2.905 0.06831 0.23442 0.15747 0.0432 0.09419 0.2029 2.10404 2.732 3.078
317 0 Norway 1.53352355957031 0.635422587394714 0.36201223731041 1.0 7.53700017929077 7.59444482058287 7.47955553799868 1.61646318435669 0.796666502952576 0.315963834524155 2.27702665328979
318 1 Denmark 1.55112159252167 0.626006722450256 0.355280488729477 2.0 7.52199983596802 7.58172806486487 7.46227160707116 1.48238301277161 0.792565524578094 0.40077006816864 2.31370735168457
319 2 Iceland 1.6105740070343 0.627162635326385 0.475540220737457 3.0 7.50400018692017 7.62203047305346 7.38596990078688 1.480633020401 0.833552122116089 0.153526559472084 2.32271528244019
320 3 Switzerland 1.51691174507141 0.620070576667786 0.290549278259277 4.0 7.49399995803833 7.56177242040634 7.42622749567032 1.56497955322266 0.858131289482117 0.367007285356522 2.2767162322998
321 4 Finland 1.5402467250824 0.617950856685638 0.24548277258873 5.0 7.4689998626709 7.52754207581282 7.41045764952898 1.44357192516327 0.80915766954422 0.38261154294014 2.4301815032959
322 5 Netherlands 1.42893922328949 0.585384488105774 0.470489829778671 6.0 7.3769998550415 7.42742584124207 7.32657386884093 1.50394463539124 0.810696125030518 0.282661825418472 2.29480409622192
323 6 Canada 1.48134899139404 0.611100912094116 0.435539722442627 7.0 7.31599998474121 7.38440283536911 7.24759713411331 1.47920441627502 0.83455765247345 0.287371516227722 2.18726444244385
324 7 New Zealand 1.54819512367249 0.614062130451202 0.500005125999451 8.0 7.31400012969971 7.3795104418695 7.24848981752992 1.40570604801178 0.816759705543518 0.382816702127457 2.0464563369751
325 8 Sweden 1.47816216945648 0.612924098968506 0.385399252176285 9.0 7.28399991989136 7.34409487739205 7.22390496239066 1.49438726902008 0.830875158309937 0.384398728609085 2.09753799438477
326 9 Australia 1.51004195213318 0.601607382297516 0.477699249982834 10.0 7.28399991989136 7.35665122494102 7.2113486148417 1.484414935112 0.84388679265976 0.301183730363846 2.06521081924438
327 10 Israel 1.37628996372223 0.405988603830338 0.330082654953003 11.0 7.21299982070923 7.27985325649381 7.14614638492465 1.37538242340088 0.83840399980545 0.0852421000599861 2.80175733566284
328 11 Costa Rica 1.41640365123749 0.580131649971008 0.214613229036331 12.0 7.0789999961853 7.16811166629195 6.98988832607865 1.10970628261566 0.759509265422821 0.100106589496136 2.89863920211792
329 12 Austria 1.4599449634552 0.567766189575195 0.316472321748734 13.0 7.00600004196167 7.07066981211305 6.94133027181029 1.48709726333618 0.815328419208527 0.221060365438461 2.1385064125061
330 13 United States 1.41992056369781 0.505740523338318 0.392578780651093 14.0 6.99300003051758 7.07465674757957 6.91134331345558 1.54625928401947 0.77428662776947 0.135638788342476 2.2181134223938
331 14 Ireland 1.55823111534119 0.573110342025757 0.42785832285881 15.0 6.97700023651123 7.04335166752338 6.91064880549908 1.53570663928986 0.80978262424469 0.29838815331459 1.77386903762817
332 15 Germany 1.47252035140991 0.562511384487152 0.336269170045853 16.0 6.95100021362305 7.00538156926632 6.89661885797977 1.48792338371277 0.798950731754303 0.276731938123703 2.01576995849609
333 16 Belgium 1.46231269836426 0.539770722389221 0.231503337621689 17.0 6.89099979400635 6.95582075044513 6.82617883756757 1.46378076076508 0.818091869354248 0.251343131065369 2.12421035766602
334 17 Luxembourg 1.45758366584778 0.59662789106369 0.283180981874466 18.0 6.86299991607666 6.92368609987199 6.80231373228133 1.74194359779358 0.845089495182037 0.31883442401886 1.61951208114624
335 18 United Kingdom 1.49646008014679 0.508190035820007 0.492774158716202 19.0 6.71400022506714 6.78379176110029 6.64420868903399 1.44163393974304 0.805335938930511 0.265428066253662 1.70414352416992
336 19 Chile 1.28402495384216 0.376895278692245 0.326662421226501 20.0 6.65199995040894 6.73925056010485 6.56474934071302 1.25278460979462 0.819479703903198 0.0822879821062088 2.50958585739136
337 20 United Arab Emirates 1.26641023159027 0.60834527015686 0.3609419465065 21.0 6.64799976348877 6.72204730376601 6.57395222321153 1.62634336948395 0.726798236370087 0.324489563703537 1.734703540802
338 21 Brazil 1.43130600452423 0.437453746795654 0.16234989464283 22.0 6.63500022888184 6.72546950161457 6.5445309561491 1.10735321044922 0.616552352905273 0.111092761158943 2.76926708221436
339 22 Czech Republic 1.43388521671295 0.490946173667908 0.0881067588925362 23.0 6.60900020599365 6.68386246263981 6.5341379493475 1.35268235206604 0.754444003105164 0.0368729270994663 2.45186185836792
340 23 Argentina 1.44045114517212 0.494519203901291 0.109457060694695 24.0 6.59899997711182 6.69008508607745 6.50791486814618 1.18529546260834 0.695137083530426 0.059739887714386 2.61400532722473
341 24 Mexico 1.210862159729 0.412730008363724 0.120990432798862 25.0 6.57800006866455 6.67114890769124 6.48485122963786 1.15318381786346 0.709978997707367 0.132774114608765 2.83715486526489
342 25 Singapore 1.35381436347961 0.549840569496155 0.345965981483459 26.0 6.57200002670288 6.63672306910157 6.50727698430419 1.69227766990662 0.949492394924164 0.46430778503418 1.21636199951172
343 26 Malta 1.48841166496277 0.588767051696777 0.574730575084686 27.0 6.52699995040894 6.59839677289128 6.45560312792659 1.34327983856201 0.821944236755371 0.153066068887711 1.55686283111572
344 27 Uruguay 1.41222786903381 0.57939225435257 0.175096929073334 28.0 6.4539999961853 6.54590621769428 6.36209377467632 1.21755969524384 0.719216823577881 0.178061872720718 2.17240953445435
345 28 Guatemala 1.25558519363403 0.531310617923737 0.283488392829895 29.0 6.4539999961853 6.56687397271395 6.34112601965666 0.872001945972443 0.540239989757538 0.0772232785820961 2.89389109611511
346 29 Panama 1.37319254875183 0.550026834011078 0.21055693924427 30.0 6.4520001411438 6.55713071614504 6.34686956614256 1.23374843597412 0.706156134605408 0.070983923971653 2.30719995498657
347 30 France 1.38777685165405 0.470222115516663 0.129762306809425 31.0 6.44199991226196 6.51576780244708 6.36823202207685 1.43092346191406 0.844465851783752 0.172502428293228 2.00595474243164
348 31 Thailand 1.42579245567322 0.580200731754303 0.572123110294342 32.0 6.42399978637695 6.50911685571074 6.33888271704316 1.12786877155304 0.647239029407501 0.0316127352416515 2.03950834274292
349 32 Taiwan Province of China 1.38456535339355 0.361466586589813 0.258360475301743 33.0 6.42199993133545 6.49459602192044 6.34940384075046 1.43362653255463 0.793984234333038 0.0638292357325554 2.1266074180603
350 33 Spain 1.53209090232849 0.408781230449677 0.190133571624756 34.0 6.40299987792969 6.4710548453033 6.33494491055608 1.38439786434174 0.888960599899292 0.0709140971302986 1.92775774002075
351 34 Qatar 1.27429687976837 0.604130983352661 0.330473870038986 35.0 6.375 6.56847681432962 6.18152318567038 1.87076568603516 0.710098087787628 0.439299255609512 1.1454644203186
352 35 Colombia 1.4021829366684 0.477487415075302 0.149014472961426 36.0 6.35699987411499 6.45202005416155 6.26197969406843 1.07062232494354 0.595027923583984 0.0466687418520451 2.61606812477112
353 36 Saudi Arabia 1.28667759895325 0.449750572443008 0.147616013884544 37.0 6.3439998626709 6.44416661202908 6.24383311331272 1.53062355518341 0.590148329734802 0.27343225479126 2.0654296875
354 37 Trinidad and Tobago 1.3802285194397 0.518630743026733 0.325296461582184 38.0 6.16800022125244 6.38153389066458 5.95446655184031 1.36135590076447 0.519983291625977 0.0089648161083459 2.05324745178223
355 38 Kuwait 1.25969874858856 0.496337592601776 0.228289797902107 39.0 6.10500001907349 6.1919569888711 6.01804304927588 1.63295245170593 0.632105708122253 0.215159550309181 1.64042520523071
356 39 Slovakia 1.50505924224854 0.295817464590073 0.136544480919838 40.0 6.09800004959106 6.1773484121263 6.01865168705583 1.32539355754852 0.712732911109924 0.0242108516395092 2.09777665138245
357 40 Bahrain 1.32311046123505 0.536746919155121 0.172668486833572 41.0 6.08699989318848 6.17898906782269 5.99501071855426 1.48841226100922 0.653133034706116 0.257042169570923 1.65614938735962
358 41 Malaysia 1.28464603424072 0.402264982461929 0.416608929634094 42.0 6.08400011062622 6.17997963652015 5.98802058473229 1.29121541976929 0.618784427642822 0.0656007081270218 2.00444889068604
359 42 Nicaragua 1.28721570968628 0.447551846504211 0.301674216985703 43.0 6.07100009918213 6.18658360034227 5.95541659802198 0.737299203872681 0.653095960617065 0.130687981843948 2.51393055915833
360 43 Ecuador 1.28616881370544 0.4551981985569 0.150112465023994 44.0 6.00799989700317 6.10584767535329 5.91015211865306 1.00082039833069 0.685636222362518 0.140134647488594 2.29035258293152
361 44 El Salvador 1.18212509155273 0.432452529668808 0.0782579854130745 45.0 6.00299978256226 6.108635122329 5.89736444279552 0.909784495830536 0.596018552780151 0.0899809598922729 2.7145938873291
362 45 Poland 1.44571197032928 0.520342111587524 0.158465966582298 46.0 5.97300004959106 6.05390834122896 5.89209175795317 1.29178786277771 0.699475347995758 0.0593078061938286 1.79772281646729
363 46 Uzbekistan 1.54896914958954 0.658248662948608 0.415983647108078 47.0 5.97100019454956 6.06553757295012 5.876462816149 0.786441087722778 0.498272627592087 0.246528223156929 1.81691360473633
364 47 Italy 1.44492328166962 0.256450712680817 0.17278964817524 48.0 5.96400022506714 6.04273690596223 5.88526354417205 1.39506661891937 0.853144347667694 0.0280280914157629 1.81331205368042
365 48 Russia 1.46928238868713 0.373783111572266 0.0522638224065304 49.0 5.96299982070923 6.03027490749955 5.89572473391891 1.28177809715271 0.547349333763123 0.0329628810286522 2.20560741424561
366 49 Belize 1.08141779899597 0.547509372234344 0.240015640854836 50.0 5.95599985122681 6.19724231779575 5.71475738465786 0.907975316047668 0.450191766023636 0.0965810716152191 2.63195562362671
367 50 Japan 1.43633782863617 0.505625545978546 0.12057276815176 51.0 5.92000007629395 5.99071944460273 5.84928070798516 1.41691517829895 0.913475871086121 0.163760736584663 1.36322355270386
368 51 Lithuania 1.47351610660553 0.234231784939766 0.010164656676352 52.0 5.90199995040894 5.98266964137554 5.82133025944233 1.31458234786987 0.62894994020462 0.0118656428530812 2.22844052314758
369 52 Algeria 1.1462174654007 0.233335807919502 0.0694366469979286 53.0 5.87200021743774 5.97828643366694 5.76571400120854 1.09186446666718 0.617584645748138 0.146096110343933 2.56760382652283
370 53 Latvia 1.40471494197845 0.325707912445068 0.153074786067009 54.0 5.84999990463257 5.92026353821158 5.77973627105355 1.26074862480164 0.638566970825195 0.0738427266478539 1.99365520477295
371 54 South Korea 1.12827444076538 0.257921665906906 0.206674367189407 55.0 5.83799982070923 5.92255902826786 5.7534406131506 1.40167844295502 0.900214076042175 0.0632826685905457 1.88037800788879
372 55 Moldova 1.25182557106018 0.240729048848152 0.208779126405716 56.0 5.83799982070923 5.90837083846331 5.76762880295515 0.728870630264282 0.589465200901031 0.0100912861526012 2.80780839920044
373 56 Romania 1.15009129047394 0.457003742456436 0.133519917726517 57.0 5.82499980926514 5.91969415679574 5.73030546173453 1.21768391132355 0.685158312320709 0.00438790069893 2.17683148384094
374 57 Bolivia 1.22761905193329 0.558732926845551 0.22556072473526 58.0 5.82299995422363 5.9039769025147 5.74202300593257 0.833756566047668 0.473630249500275 0.0604777261614799 2.44327902793884
375 58 Turkmenistan 1.49314916133881 0.41827192902565 0.24992498755455 59.0 5.82200002670288 5.88518087550998 5.75881917789578 1.13077676296234 0.437726080417633 0.259270340204239 1.83290982246399
376 59 Kazakhstan 1.38436901569366 0.437454283237457 0.201964423060417 60.0 5.81899976730347 5.90364177465439 5.73435775995255 1.28455626964569 0.606041550636292 0.119282886385918 1.78489255905151
377 60 North Cyprus 1.18630337715149 0.471203625202179 0.266845703125 61.0 5.80999994277954 5.89736646488309 5.72263342067599 1.3469113111496 0.834647238254547 0.155353352427483 1.54915761947632
378 61 Slovenia 1.45251882076263 0.572575807571411 0.242649093270302 62.0 5.75799989700317 5.84222516000271 5.67377463400364 1.3412059545517 0.790828227996826 0.0451289787888527 1.31331729888916
379 62 Peru 1.21877038478851 0.450002878904343 0.126819714903831 63.0 5.71500015258789 5.81194677859545 5.61805352658033 1.03522527217865 0.630166113376617 0.0470490865409374 2.20726943016052
380 63 Mauritius 1.20956099033356 0.491247326135635 0.360933750867844 64.0 5.62900018692017 5.72986219167709 5.52813818216324 1.18939554691315 0.638007462024689 0.0421815551817417 1.6975839138031
381 64 Cyprus 1.13136327266693 0.355111539363861 0.271254301071167 65.0 5.62099981307983 5.71469269931316 5.5273069268465 1.35593807697296 0.84471470117569 0.0412379764020443 1.62124919891357
382 65 Estonia 1.47667109966278 0.479131430387497 0.0988908112049103 66.0 5.61100006103516 5.68813987419009 5.53386024788022 1.32087934017181 0.695168316364288 0.183248922228813 1.35750865936279
383 66 Belarus 1.44494521617889 0.295400261878967 0.15513750910759 67.0 5.56899976730347 5.64611424401402 5.49188529059291 1.15655755996704 0.637714266777039 0.156313821673393 1.72323298454285
384 67 Libya 1.35756433010101 0.465733230113983 0.152073666453362 68.0 5.52500009536743 5.67695380687714 5.37304638385773 1.10180306434631 0.520169019699097 0.0926102101802826 1.83501124382019
385 68 Turkey 1.33775317668915 0.300740599632263 0.0466930419206619 69.0 5.5 5.59486496329308 5.40513503670692 1.19827437400818 0.637605607509613 0.0996715798974037 1.87927794456482
386 69 Paraguay 1.50728487968445 0.473507791757584 0.224150657653809 70.0 5.49300003051758 5.57738126963377 5.40861879140139 0.932537317276001 0.579250693321228 0.091065913438797 1.6853334903717
387 70 Hong Kong S.A.R., China 1.26279091835022 0.490968644618988 0.374465793371201 71.0 5.47200012207031 5.54959417313337 5.39440607100725 1.55167484283447 0.943062424659729 0.293933749198914 0.554633140563965
388 71 Philippines 1.25391757488251 0.585214674472809 0.193513423204422 72.0 5.42999982833862 5.54533505424857 5.31466460242867 0.85769921541214 0.468009054660797 0.0993318930268288 1.97260475158691
389 72 Serbia 1.25818979740143 0.208715528249741 0.220125883817673 73.0 5.39499998092651 5.49156965613365 5.29843030571938 1.06931757926941 0.65078467130661 0.0409037806093693 1.94708442687988
390 73 Jordan 1.23908889293671 0.418421149253845 0.172170460224152 74.0 5.33599996566772 5.44841002240777 5.22358990892768 0.991012394428253 0.604590058326721 0.11980327218771 1.79117655754089
391 74 Hungary 1.34313309192657 0.175863519310951 0.0784016624093056 75.0 5.32399988174438 5.40303970918059 5.24496005430818 1.2860119342804 0.687763452529907 0.0366369374096394 1.71645927429199
392 75 Jamaica 1.36821806430817 0.474307239055634 0.233818337321281 76.0 5.31099987030029 5.58139872848988 5.04060101211071 0.925579309463501 0.641022384166718 0.0552677810192108 1.61232566833496
393 76 Croatia 0.96798300743103 0.255772292613983 0.248002976179123 77.0 5.29300022125244 5.39177720457315 5.19422323793173 1.22255623340607 0.701288521289825 0.0431031100451946 1.85449242591858
394 77 Kosovo 1.13785350322723 0.260287940502167 0.319931447505951 78.0 5.27899980545044 5.36484799548984 5.19315161541104 0.951484382152557 0.541452050209045 0.0574716180562973 2.01054072380066
395 78 China 1.16083741188049 0.472787708044052 0.0288068410009146 79.0 5.27299976348877 5.31927808977663 5.2267214372009 1.08116579055786 0.741415500640869 0.0227942746132612 1.76493859291077
396 79 Pakistan 0.672690689563751 0.23521526157856 0.315446019172668 80.0 5.26900005340576 5.35998364135623 5.17801646545529 0.72688353061676 0.402047783136368 0.124348066747189 2.79248929023743
397 80 Indonesia 1.27444469928741 0.443323463201523 0.611704587936401 81.0 5.26200008392334 5.35288859814405 5.17111156970263 0.995538592338562 0.492345720529556 0.0153171354904771 1.42947697639465
398 81 Venezuela 1.43133759498596 0.153997123241425 0.0650196298956871 82.0 5.25 5.3700319455564 5.1299680544436 1.12843120098114 0.617144227027893 0.0644911229610443 1.78946375846863
399 82 Montenegro 1.23837649822235 0.194989055395126 0.197911024093628 83.0 5.23699998855591 5.34104444056749 5.13295553654432 1.12112903594971 0.667464673519135 0.0881741940975189 1.72919154167175
400 83 Morocco 0.774864435195923 0.408158332109451 0.0322099551558495 84.0 5.2350001335144 5.31834096476436 5.15165930226445 0.878114581108093 0.59771066904068 0.0877631828188896 2.45618939399719
401 84 Azerbaijan 1.15240025520325 0.398155838251114 0.0452693402767181 85.0 5.23400020599365 5.29928653523326 5.16871387675405 1.15360176563263 0.540775775909424 0.180987507104874 1.76248168945312
402 85 Dominican Republic 1.40241670608521 0.55258983373642 0.186967849731445 86.0 5.23000001907349 5.34906088516116 5.11093915298581 1.07937383651733 0.574873745441437 0.113945253193378 1.31946516036987
403 86 Greece 1.23941457271576 0.0957312509417534 0.0 87.0 5.22700023651123 5.3252461694181 5.12875430360436 1.28948748111725 0.810198903083801 0.04328977689147 1.74922156333923
404 87 Lebanon 1.12962424755096 0.288515985012054 0.264450758695602 88.0 5.22499990463257 5.31888228848577 5.13111752077937 1.07498753070831 0.735081076622009 0.037513829767704 1.69507384300232
405 88 Portugal 1.36704301834106 0.498465299606323 0.0951027125120163 89.0 5.19500017166138 5.28504173308611 5.10495861023665 1.3151752948761 0.795843541622162 0.0158694516867399 1.10768270492554
406 89 Bosnia and Herzegovina 1.0693359375 0.204403176903725 0.328867495059967 90.0 5.18200016021729 5.27633568674326 5.08766463369131 0.982409417629242 0.705186307430267 0.0 1.89217257499695
407 90 Honduras 1.14394497871399 0.348079860210419 0.236188873648643 91.0 5.18100023269653 5.30158279687166 5.0604176685214 0.730573117733002 0.582569479942322 0.0733454525470734 2.06581115722656
408 91 Macedonia 1.20789301395416 0.325905978679657 0.25376096367836 92.0 5.17500019073486 5.27217263966799 5.07782774180174 1.06457793712616 0.644948184490204 0.0602777935564518 1.6174693107605
409 92 Somalia 0.721151351928711 0.602126955986023 0.291631311178207 93.0 5.15100002288818 5.24248370990157 5.0595163358748 0.0226431842893362 0.113989137113094 0.282410323619843 3.11748456954956
410 93 Vietnam 1.27749133110046 0.571055591106415 0.234968051314354 94.0 5.07399988174438 5.14728076457977 5.000718998909 0.788547575473785 0.652168989181519 0.0876332372426987 1.46231865882874
411 94 Nigeria 1.21577048301697 0.394952565431595 0.230947196483612 95.0 5.07399988174438 5.20950013548136 4.93849962800741 0.783756256103516 0.0569157302379608 0.0261215660721064 2.36539053916931
412 95 Tajikistan 1.27146327495575 0.471566706895828 0.248997643589973 96.0 5.04099988937378 5.11142559587956 4.970574182868 0.524713635444641 0.529235124588013 0.146377146244049 1.84904932975769
413 96 Bhutan 1.34012651443481 0.501537680625916 0.474054545164108 97.0 5.01100015640259 5.07933456212282 4.94266575068235 0.885416388511658 0.495879292488098 0.173380389809608 1.14018440246582
414 97 Kyrgyzstan 1.39423859119415 0.454943388700485 0.42858037352562 98.0 5.00400018692017 5.08991990312934 4.91808047071099 0.596220076084137 0.553457796573639 0.0394391790032387 1.53672313690186
415 98 Nepal 1.17928326129913 0.440305948257446 0.394096165895462 99.0 4.96199989318848 5.06735607936978 4.85664370700717 0.479820191860199 0.504130780696869 0.0729755461215973 1.8912410736084
416 99 Mongolia 1.4930112361908 0.394143968820572 0.338464230298996 100.0 4.95499992370605 5.0216795091331 4.88832033827901 1.02723586559296 0.557783484458923 0.0329022891819477 1.11129236221313
417 100 South Africa 1.38478863239288 0.479246735572815 0.139362379908562 101.0 4.8289999961853 4.92943518772721 4.72856480464339 1.05469870567322 0.187080070376396 0.0725094974040985 1.51090860366821
418 101 Tunisia 0.868351459503174 0.289680689573288 0.0496933571994305 102.0 4.80499982833862 4.88436700701714 4.72563264966011 1.00726580619812 0.613212049007416 0.0867231488227844 1.89025115966797
419 102 Palestinian Territories 1.15564715862274 0.25471106171608 0.114173173904419 103.0 4.77500009536743 4.88184834256768 4.66815184816718 0.716249227523804 0.565666973590851 0.0892826020717621 1.8788902759552
420 103 Egypt 0.997471392154694 0.282110154628754 0.128631442785263 104.0 4.7350001335144 4.82513378962874 4.64486647740006 0.989701807498932 0.520187258720398 0.114381365478039 1.70216107368469
421 104 Bulgaria 1.43437945842743 0.289231717586517 0.113177694380283 105.0 4.71400022506714 4.80369470641017 4.62430574372411 1.1614590883255 0.708217680454254 0.0110515309497714 0.996139287948608
422 105 Sierra Leone 0.984136044979095 0.318697690963745 0.293040901422501 106.0 4.70900011062622 4.85064333498478 4.56735688626766 0.36842092871666 0.0055647538974881 0.0710951760411263 2.66845989227295
423 106 Cameroon 0.946018218994141 0.430388748645782 0.236298456788063 107.0 4.69500017166138 4.79654085725546 4.5934594860673 0.564305365085602 0.132892116904259 0.0513066314160824 2.3336455821991
424 107 Iran 0.711551249027252 0.249322608113289 0.387242913246155 108.0 4.69199991226196 4.79822470769286 4.58577511683106 1.15687310695648 0.639333188533783 0.048761073499918 1.49873495101929
425 108 Albania 0.803685247898102 0.381498634815216 0.201312944293022 109.0 4.64400005340576 4.75246400639415 4.53553610041738 0.996192753314972 0.731159746646881 0.0398642159998417 1.49044156074524
426 109 Bangladesh 0.735131740570068 0.478356659412384 0.172255352139473 110.0 4.60799980163574 4.68982165828347 4.52617794498801 0.586682975292206 0.533241033554077 0.123717859387398 1.97873616218567
427 110 Namibia 1.0984708070755 0.520303547382355 0.0771337449550629 111.0 4.57399988174438 4.77035474091768 4.37764502257109 0.964434325695038 0.33861181139946 0.0931469723582268 1.4818902015686
428 111 Kenya 1.06795072555542 0.452763766050339 0.444860309362411 112.0 4.55299997329712 4.65569159060717 4.45030835598707 0.560479462146759 0.309988349676132 0.0646413192152977 1.6519021987915
429 112 Mozambique 0.870701014995575 0.480791091918945 0.322228103876114 113.0 4.55000019073486 4.77410232633352 4.3258980551362 0.234305649995804 0.106654435396194 0.179436385631561 2.35565090179443
430 113 Myanmar 1.12323594093323 0.514492034912109 0.838075160980225 114.0 4.54500007629395 4.61473994642496 4.47526020616293 0.367110550403595 0.397522568702698 0.188816204667091 1.11529040336609
431 114 Senegal 1.17969191074371 0.377922266721725 0.183468893170357 115.0 4.53499984741211 4.6016037812829 4.46839591354132 0.479309022426605 0.409362852573395 0.115460447967052 1.78964614868164
432 115 Zambia 1.00318729877472 0.461603492498398 0.249580144882202 116.0 4.51399993896484 4.64410550147295 4.38389437645674 0.636406779289246 0.257835894823074 0.0782135501503944 1.82670545578003
433 116 Iraq 0.978613197803497 0.288555532693863 0.19963726401329 117.0 4.49700021743774 4.62259140968323 4.37140902519226 1.10271048545837 0.501180469989777 0.107215754687786 1.31890726089478
434 117 Gabon 1.1556202173233 0.312328577041626 0.0437853783369064 118.0 4.46500015258789 4.5573617656529 4.37263853952289 1.1982102394104 0.356578588485718 0.0760467872023582 1.32291626930237
435 118 Ethiopia 0.86466920375824 0.408842742443085 0.312650740146637 119.0 4.46000003814697 4.54272867664695 4.377271399647 0.339233845472336 0.353409707546234 0.165455713868141 2.01574373245239
436 119 Sri Lanka 1.25997638702393 0.561213254928589 0.490863561630249 120.0 4.44000005722046 4.55344719231129 4.32655292212963 1.00985014438629 0.625130832195282 0.0736539661884308 0.419389247894287
437 120 Armenia 1.00748372077942 0.198303267359734 0.0834880918264389 121.0 4.37599992752075 4.46673461228609 4.28526524275541 0.900596737861633 0.637524425983429 0.0266744215041399 1.5214991569519
438 121 India 0.754372596740723 0.469987004995346 0.231538489460945 122.0 4.31500005722046 4.37152201749384 4.25847809694707 0.792221248149872 0.455427616834641 0.0922268852591515 1.5191171169281
439 122 Mauritania 1.2720308303833 0.0960980430245399 0.201870024204254 123.0 4.29199981689453 4.37716361626983 4.20683601751924 0.648457288742065 0.285349279642105 0.136957004666328 1.65163731575012
440 123 Congo (Brazzaville) 0.832044363021851 0.435025870800018 0.120852127671242 124.0 4.29099988937378 4.41005350500345 4.17194627374411 0.808964252471924 0.28995743393898 0.0796181336045265 1.72413563728333
441 124 Georgia 0.57061493396759 0.309410035610199 0.0540088154375553 125.0 4.28599977493286 4.37493396580219 4.19706558406353 0.950612664222717 0.649546980857849 0.251666635274887 1.50013780593872
442 125 Congo (Kinshasa) 1.22902345657349 0.235961347818375 0.246455833315849 126.0 4.28000020980835 4.35781083270907 4.20218958690763 0.0921023488044739 0.191407024860382 0.0602413564920425 2.22495865821838
443 126 Mali 1.28147339820862 0.306613743305206 0.183354198932648 127.0 4.19000005722046 4.26967071101069 4.11032940343022 0.476180493831635 0.169365674257278 0.104970246553421 1.66819095611572
444 127 Ivory Coast 0.904780030250549 0.447706192731857 0.201237469911575 128.0 4.17999982833862 4.27518256321549 4.08481709346175 0.603048920631409 0.0486421696841717 0.130061775445938 1.84496426582336
445 128 Cambodia 1.00623834133148 0.633375823497772 0.385922968387604 129.0 4.16800022125244 4.27851781353354 4.05748262897134 0.601765096187592 0.429783403873444 0.0681059509515762 1.04294109344482
446 129 Sudan 1.21400856971741 0.0149958552792668 0.182317450642586 130.0 4.13899993896484 4.34574716508389 3.9322527128458 0.65951669216156 0.290920823812485 0.089847519993782 1.68706583976746
447 130 Ghana 0.873664736747742 0.423026293516159 0.256923943758011 131.0 4.11999988555908 4.22270720854402 4.01729256257415 0.667224824428558 0.295637726783752 0.0253363698720932 1.57786750793457
448 131 Ukraine 1.39453756809235 0.122974775731564 0.270061463117599 132.0 4.09600019454956 4.18541010454297 4.00659028455615 0.89465194940567 0.575903952121735 0.0230294708162546 0.814382314682007
449 132 Uganda 1.12982773780823 0.443185955286026 0.325766056776047 133.0 4.08099985122681 4.19579996705055 3.96619973540306 0.381430715322495 0.217632606625557 0.057069718837738 1.526362657547
450 133 Burkina Faso 1.04328000545502 0.324367851018906 0.250864684581757 134.0 4.03200006484985 4.12405906438828 3.93994106531143 0.3502277135849 0.215844258666039 0.120328105986118 1.72721290588379
451 134 Niger 0.993025004863739 0.36365869641304 0.228673845529556 135.0 4.02799987792969 4.11194681972265 3.94405293613672 0.161925330758095 0.26850500702858 0.138572946190834 1.87398338317871
452 135 Malawi 0.512568831443787 0.466914653778076 0.287170469760895 136.0 3.97000002861023 4.07747881740332 3.86252123981714 0.233442038297653 0.315089583396912 0.0727116540074348 2.08178615570068
453 136 Chad 0.953855872154236 0.16234202682972 0.216113850474358 137.0 3.93600010871887 4.0347115239501 3.83728869348764 0.438012987375259 0.0411347150802612 0.0535818822681904 2.07123804092407
454 137 Zimbabwe 1.08309590816498 0.336384207010269 0.189143493771553 138.0 3.875 3.97869964271784 3.77130035728216 0.375846534967422 0.196763753890991 0.0953753814101219 1.59797024726868
455 138 Lesotho 1.19009518623352 0.390661299228668 0.157497271895409 139.0 3.80800008773804 4.04434397548437 3.5716561999917 0.521021246910095 0.0 0.119094640016556 1.42983531951904
456 139 Angola 1.10441195964813 0.0 0.097926490008831 140.0 3.79500007629395 3.95164193540812 3.63835821717978 0.858428180217743 0.0498686656355858 0.0697203353047371 1.61448240280151
457 140 Afghanistan 0.581543326377869 0.106179520487785 0.311870932579041 141.0 3.79399991035461 3.87366141527891 3.71433840543032 0.401477217674255 0.180746778845787 0.0611578300595284 2.15080118179321
458 141 Botswana 1.22155499458313 0.505196332931519 0.0993484482169151 142.0 3.76600003242493 3.87412266626954 3.65787739858031 1.12209415435791 0.341755509376526 0.0985831990838051 0.3779137134552
459 142 Benin 0.435299843549728 0.425962775945663 0.207948461174965 143.0 3.65700006484985 3.74578355133533 3.56821657836437 0.431085407733917 0.209930211305618 0.0609290152788162 1.88563096523285
460 143 Madagascar 0.913020372390747 0.189196765422821 0.208732530474663 144.0 3.64400005340576 3.71431910589337 3.57368100091815 0.305808693170547 0.375223308801651 0.0672319754958153 1.58461260795593
461 144 Haiti 0.640449821949005 0.0303698573261499 0.489203780889511 145.0 3.6029999256134 3.73471479773521 3.47128505349159 0.368610262870789 0.277321130037308 0.0998721495270729 1.69716763496399
462 145 Yemen 0.93538224697113 0.249463722109795 0.104125209152699 146.0 3.59299993515015 3.69275031983852 3.49324955046177 0.591683447360992 0.310080915689468 0.0567674227058887 1.34560060501099
463 146 South Sudan 0.601323127746582 0.147062435746193 0.285670816898346 147.0 3.59100008010864 3.72553858578205 3.45646157443523 0.39724862575531 0.163486003875732 0.116793513298035 1.87956738471985
464 147 Liberia 0.872117936611176 0.332881182432175 0.26654988527298 148.0 3.53299999237061 3.65375626087189 3.41224372386932 0.119041793048382 0.229918196797371 0.0389482490718365 1.67328596115112
465 148 Guinea 0.791244685649872 0.348587512969971 0.264815092086792 149.0 3.50699996948242 3.58442812889814 3.4295718100667 0.244549930095673 0.194129139184952 0.110937617719173 1.55231189727783
466 149 Togo 0.431882530450821 0.38042613863945 0.196896150708199 150.0 3.49499988555908 3.59403811171651 3.39596165940166 0.305444717407227 0.247105568647385 0.0956650152802467 1.83722925186157
467 150 Rwanda 0.945707023143768 0.581843852996826 0.252756029367447 151.0 3.47099995613098 3.54303023353219 3.39896967872977 0.368745893239975 0.326424807310104 0.455220013856888 0.540061235427856
468 151 Syria 0.396102607250214 0.0815394446253777 0.493663728237152 152.0 3.46199989318848 3.66366855680943 3.26033122956753 0.777153134346008 0.50053334236145 0.151347130537033 1.06157350540161
469 152 Tanzania 1.04198980331421 0.390017777681351 0.354256361722946 153.0 3.34899997711182 3.46142975538969 3.23657019883394 0.511135876178741 0.364509284496307 0.0660351067781448 0.621130466461182
470 153 Burundi 0.629793584346771 0.0599007532000542 0.204435184597969 154.0 2.90499997138977 3.07469033300877 2.73530960977077 0.091622568666935 0.151610791683197 0.0841479450464249 1.68302416801453
471 154 Central African Republic 0.0 0.270842045545578 0.280876487493515 155.0 2.69300007820129 2.86488426923752 2.52111588716507 0.0 0.0187726859003305 0.0565650761127472 2.06600475311279
472 0 0.202 1.0 Finland 7.632 1.305 1.592 0.874 0.681 0.393
473 1 0.286 2.0 Norway 7.594 1.456 1.582 0.861 0.686 0.34
474 2 0.284 3.0 Denmark 7.555 1.351 1.59 0.868 0.683 0.408
475 3 0.353 4.0 Iceland 7.495 1.343 1.644 0.914 0.677 0.138
476 4 0.256 5.0 Switzerland 7.487 1.42 1.549 0.927 0.66 0.357
477 5 0.333 6.0 Netherlands 7.441 1.361 1.488 0.878 0.638 0.295
478 6 0.321 7.0 Canada 7.328 1.33 1.532 0.896 0.653 0.291
479 7 0.365 8.0 New Zealand 7.324 1.268 1.601 0.876 0.669 0.389
480 8 0.285 9.0 Sweden 7.314 1.355 1.501 0.913 0.659 0.383
481 9 0.361 10.0 Australia 7.272 1.34 1.573 0.91 0.647 0.302
482 10 0.262 11.0 United Kingdom 7.19 1.244 1.433 0.888 0.464 0.082
483 11 0.242 12.0 Austria 7.139 1.341 1.504 0.891 0.617 0.224
484 12 0.143 13.0 Costa Rica 7.072 1.01 1.459 0.817 0.632 0.101
485 13 0.307 14.0 Ireland 6.977 1.448 1.583 0.876 0.614 0.306
486 14 0.273 15.0 Germany 6.965 1.34 1.474 0.861 0.586 0.28
487 15 0.188 16.0 Belgium 6.927 1.324 1.483 0.894 0.583 0.24
488 16 0.196 17.0 Luxembourg 6.91 1.576 1.52 0.896 0.632 0.321
489 17 0.291 18.0 United States 6.886 1.398 1.471 0.819 0.547 0.133
490 18 0.354 19.0 Israel 6.814 1.301 1.559 0.883 0.533 0.272
491 19 0.186 20.0 United Arab Emirates 6.774 2.096 0.776 0.67 0.284
492 20 0.064 21.0 Czech Republic 6.711 1.233 1.489 0.854 0.543 0.034
493 21 0.376 22.0 Malta 6.627 1.27 1.525 0.884 0.645 0.142
494 22 0.098 23.0 France 6.489 1.293 1.466 0.908 0.52 0.176
495 23 0.069 24.0 Mexico 6.488 1.038 1.252 0.761 0.479 0.095
496 24 0.197 25.0 Chile 6.476 1.131 1.331 0.808 0.431 0.061
497 25 0.151 26.0 Taiwan 6.441 1.365 1.436 0.857 0.418 0.078
498 26 0.125 27.0 Panama 6.43 1.112 1.438 0.759 0.597 0.063
499 27 0.11 28.0 Brazil 6.419 0.986 1.474 0.675 0.493 0.088
500 28 0.062 29.0 Argentina 6.388 1.073 1.468 0.744 0.57 0.054
501 29 0.179 30.0 Guatemala 6.382 0.781 1.268 0.608 0.604 0.071
502 30 0.13 31.0 Uruguay 6.379 1.093 1.459 0.771 0.625 0.155
503 31 0.256 32.0 Qatar 6.374 1.649 1.303 0.748 0.654 0.171
504 32 0.098 33.0 Saudi Arabia 6.371 1.379 1.331 0.633 0.509 0.127
505 33 0.261 34.0 Singapore 6.343 1.529 1.451 1.008 0.631 0.457
506 34 0.311 35.0 Malaysia 6.322 1.161 1.258 0.669 0.356 0.059
507 35 0.142 36.0 Spain 6.31 1.251 1.538 0.965 0.449 0.074
508 36 0.099 37.0 Colombia 6.26 0.96 1.439 0.635 0.531 0.039
509 37 0.171 38.0 Trinidad & Tobago 6.192 1.223 1.492 0.564 0.575 0.019
510 38 0.118 39.0 Slovakia 6.173 1.21 1.537 0.776 0.354 0.014
511 39 0.065 40.0 El Salvador 6.167 0.806 1.231 0.639 0.461 0.082
512 40 0.208 41.0 Nicaragua 6.141 0.668 1.319 0.7 0.527 0.128
513 41 0.108 42.0 Poland 6.123 1.176 1.448 0.781 0.546 0.064
514 42 0.243 43.0 Bahrain 6.105 1.338 1.366 0.698 0.594 0.123
515 43 0.328 44.0 Uzbekistan 6.096 0.719 1.584 0.605 0.724 0.259
516 44 0.167 45.0 Kuwait 6.083 1.474 1.301 0.675 0.554 0.106
517 45 0.364 46.0 Thailand 6.072 1.016 1.417 0.707 0.637 0.029
518 46 0.137 47.0 Italy 6.0 1.264 1.501 0.946 0.281 0.028
519 47 0.114 48.0 Ecuador 5.973 0.889 1.33 0.736 0.556 0.12
520 48 0.183 49.0 Belize 5.956 0.807 1.101 0.474 0.593 0.089
521 49 0.026 50.0 Lithuania 5.952 1.197 1.527 0.716 0.35 0.006
522 50 0.16 51.0 Slovenia 5.948 1.219 1.506 0.856 0.633 0.051
523 51 0.088 52.0 Romania 5.945 1.116 1.219 0.726 0.528 0.001
524 52 0.092 53.0 Latvia 5.933 1.148 1.454 0.671 0.363 0.066
525 53 0.079 54.0 Japan 5.915 1.294 1.462 0.988 0.553 0.15
526 54 0.245 55.0 Mauritius 5.891 1.09 1.387 0.684 0.584 0.05
527 55 0.096 56.0 Jamaica 5.89 0.819 1.493 0.693 0.575 0.031
528 56 0.175 57.0 South Korea 5.875 1.266 1.204 0.955 0.244 0.051
529 57 0.179 58.0 Northern Cyprus 5.835 1.229 1.211 0.909 0.495 0.154
530 58 0.065 59.0 Russia 5.81 1.151 1.479 0.599 0.399 0.025
531 59 0.148 60.0 Kazakhstan 5.79 1.143 1.516 0.631 0.454 0.121
532 60 0.202 61.0 Cyprus 5.762 1.229 1.191 0.909 0.423 0.035
533 61 0.141 62.0 Bolivia 5.752 0.751 1.223 0.508 0.606 0.054
534 62 0.086 63.0 Estonia 5.739 1.2 1.532 0.737 0.553 0.174
535 63 0.162 64.0 Paraguay 5.681 0.835 1.522 0.615 0.541 0.074
536 64 0.092 65.0 Peru 5.663 0.934 1.249 0.674 0.53 0.034
537 65 0.274 66.0 Kosovo 5.662 0.855 1.23 0.578 0.448 0.023
538 66 0.171 67.0 Moldova 5.64 0.657 1.301 0.62 0.232 0.0
539 67 0.199 68.0 Turkmenistan 5.636 1.016 1.533 0.517 0.417 0.037
540 68 0.061 69.0 Hungary 5.62 1.171 1.401 0.732 0.259 0.022
541 69 0.116 70.0 Libya 5.566 0.985 1.35 0.553 0.496 0.148
542 70 0.12 71.0 Philippines 5.524 0.775 1.312 0.513 0.643 0.105
543 71 0.197 72.0 Honduras 5.504 0.62 1.205 0.622 0.459 0.074
544 72 0.101 73.0 Belarus 5.483 1.039 1.498 0.7 0.307 0.154
545 73 0.106 74.0 Turkey 5.483 1.148 1.38 0.686 0.324 0.109
546 74 0.216 75.0 Pakistan 5.472 0.652 0.81 0.424 0.334 0.113
547 75 0.246 76.0 Hong Kong 5.43 1.405 1.29 1.03 0.524 0.291
548 76 0.055 77.0 Portugal 5.41 1.188 1.429 0.884 0.562 0.017
549 77 0.134 78.0 Serbia 5.398 0.975 1.369 0.685 0.288 0.043
550 78 0.0 79.0 Greece 5.358 1.154 1.202 0.879 0.131 0.044
551 79 0.214 80.0 Lebanon 5.358 0.965 1.179 0.785 0.503 0.136
552 80 0.111 81.0 Montenegro 5.347 1.017 1.279 0.729 0.259 0.081
553 81 0.12 82.0 Croatia 5.321 1.115 1.161 0.737 0.38 0.039
554 82 0.12 83.0 Dominican Republic 5.302 0.982 1.441 0.614 0.578 0.106
555 83 0.055 84.0 Algeria 5.295 0.979 1.154 0.687 0.077 0.135
556 84 0.026 85.0 Morocco 5.254 0.779 0.797 0.669 0.46 0.074
557 85 0.029 86.0 China 5.246 0.989 1.142 0.799 0.597 0.103
558 86 0.031 87.0 Azerbaijan 5.201 1.024 1.161 0.603 0.43 0.176
559 87 0.187 88.0 Tajikistan 5.199 0.474 1.166 0.598 0.292 0.034
560 88 0.173 89.0 Macedonia 5.185 0.959 1.239 0.691 0.394 0.052
561 89 0.13 90.0 Jordan 5.161 0.822 1.265 0.645 0.468 0.134
562 90 0.201 91.0 Nigeria 5.155 0.689 1.172 0.048 0.462 0.032
563 91 0.281 92.0 Kyrgyzstan 5.131 0.53 1.416 0.594 0.54 0.035
564 92 0.216 93.0 Bosnia and Herzegovina 5.129 0.915 1.078 0.758 0.28 0.0
565 93 0.253 94.0 Mongolia 5.125 0.914 1.517 0.575 0.395 0.032
566 94 0.177 95.0 Vietnam 5.103 0.715 1.365 0.702 0.618 0.079
567 95 0.484 96.0 Indonesia 5.093 0.899 1.215 0.522 0.538 0.018
568 96 0.364 97.0 Bhutan 5.082 0.796 1.335 0.527 0.541 0.171
569 97 0.238 98.0 Somalia 4.982 0.0 0.712 0.115 0.674 0.282
570 98 0.183 99.0 Cameroon 4.975 0.535 0.891 0.182 0.454 0.043
571 99 0.064 100.0 Bulgaria 4.933 1.054 1.515 0.712 0.359 0.009
572 100 0.302 101.0 Nepal 4.88 0.425 1.228 0.539 0.526 0.078
573 101 0.056 102.0 Venezuela 4.806 0.996 1.469 0.657 0.133 0.052
574 102 0.032 103.0 Gabon 4.758 1.036 1.164 0.404 0.356 0.052
575 103 0.086 104.0 Palestinian Territories 4.743 0.642 1.217 0.602 0.266 0.076
576 104 0.103 105.0 South Africa 4.724 0.94 1.41 0.33 0.516 0.056
577 105 0.282 106.0 Iran 4.707 1.059 0.771 0.691 0.459 0.129
578 106 0.146 107.0 Ivory Coast 4.671 0.541 0.872 0.08 0.467 0.103
579 107 0.212 108.0 Ghana 4.657 0.592 0.896 0.337 0.499 0.029
580 108 0.138 109.0 Senegal 4.631 0.429 1.117 0.433 0.406 0.082
581 109 0.23 110.0 Laos 4.623 0.72 1.034 0.441 0.626 0.174
582 110 0.04 111.0 Tunisia 4.592 0.9 0.906 0.69 0.271 0.063
583 111 0.149 112.0 Albania 4.586 0.916 0.817 0.79 0.419 0.032
584 112 0.238 113.0 Sierra Leone 4.571 0.256 0.813 0.0 0.355 0.053
585 113 0.091 114.0 Congo (Brazzaville) 4.559 0.682 0.811 0.343 0.514 0.077
586 114 0.153 115.0 Bangladesh 4.5 0.532 0.85 0.579 0.58 0.144
587 115 0.307 116.0 Sri Lanka 4.471 0.918 1.314 0.672 0.585 0.05
588 116 0.148 117.0 Iraq 4.456 1.01 0.971 0.536 0.304 0.095
589 117 0.139 118.0 Mali 4.447 0.37 1.233 0.152 0.367 0.056
590 118 0.051 119.0 Namibia 4.441 0.874 1.281 0.365 0.519 0.064
591 119 0.256 120.0 Cambodia 4.433 0.549 1.088 0.457 0.696 0.065
592 120 0.175 121.0 Burkina Faso 4.424 0.314 1.097 0.254 0.312 0.128
593 121 0.092 122.0 Egypt 4.419 0.885 1.025 0.553 0.312 0.107
594 122 0.206 123.0 Mozambique 4.417 0.198 0.902 0.173 0.531 0.158
595 123 0.352 124.0 Kenya 4.41 0.493 1.048 0.454 0.504 0.055
596 124 0.221 125.0 Zambia 4.377 0.562 1.047 0.295 0.503 0.082
597 125 0.134 126.0 Mauritania 4.356 0.557 1.245 0.292 0.129 0.093
598 126 0.22 127.0 Ethiopia 4.35 0.308 0.95 0.391 0.452 0.146
599 127 0.038 128.0 Georgia 4.34 0.853 0.592 0.643 0.375 0.215
600 128 0.077 129.0 Armenia 4.321 0.816 0.99 0.666 0.26 0.028
601 129 0.598 130.0 Myanmar 4.308 0.682 1.174 0.429 0.58 0.178
602 130 0.181 131.0 Chad 4.301 0.358 0.907 0.053 0.189 0.06
603 131 0.197 132.0 Congo (Kinshasa) 4.245 0.069 1.136 0.204 0.312 0.052
604 132 0.172 133.0 India 4.19 0.721 0.747 0.485 0.539 0.093
605 133 0.175 134.0 Niger 4.166 0.131 0.867 0.221 0.39 0.099
606 134 0.259 135.0 Uganda 4.161 0.322 1.09 0.237 0.45 0.061
607 135 0.163 136.0 Benin 4.141 0.378 0.372 0.24 0.44 0.067
608 136 0.134 137.0 Sudan 4.139 0.605 1.24 0.312 0.016 0.082
609 137 0.187 138.0 Ukraine 4.103 0.793 1.413 0.609 0.163 0.011
610 138 0.158 139.0 Togo 3.999 0.259 0.474 0.253 0.434 0.101
611 139 0.185 140.0 Guinea 3.964 0.344 0.792 0.211 0.394 0.094
612 140 0.116 141.0 Lesotho 3.808 0.472 1.215 0.079 0.423 0.112
613 141 0.079 142.0 Angola 3.795 0.73 1.125 0.269 0.0 0.061
614 142 0.155 143.0 Madagascar 3.774 0.262 0.908 0.402 0.221 0.049
615 143 0.132 144.0 Zimbabwe 3.692 0.357 1.094 0.248 0.406 0.099
616 144 0.191 145.0 Afghanistan 3.632 0.332 0.537 0.255 0.085 0.036
617 145 0.042 146.0 Botswana 3.59 1.017 1.174 0.417 0.557 0.092
618 146 0.21 147.0 Malawi 3.587 0.186 0.541 0.306 0.531 0.08
619 147 0.392 148.0 Haiti 3.582 0.315 0.714 0.289 0.025 0.104
620 148 0.206 149.0 Liberia 3.495 0.076 0.858 0.267 0.419 0.03
621 149 0.376 150.0 Syria 3.462 0.689 0.382 0.539 0.088 0.144
622 150 0.2 151.0 Rwanda 3.408 0.332 0.896 0.4 0.636 0.444
623 151 0.083 152.0 Yemen 3.355 0.442 1.073 0.343 0.244 0.064
624 152 0.27 153.0 Tanzania 3.303 0.455 0.991 0.381 0.481 0.097
625 153 0.224 154.0 South Sudan 3.254 0.337 0.608 0.177 0.112 0.106
626 154 0.218 155.0 Central African Republic 3.083 0.024 0.0 0.01 0.305 0.038
627 155 0.149 156.0 Burundi 2.905 0.091 0.627 0.145 0.065 0.076
628 0 0.153 1.0 Finland 7.769 1.34 1.587 0.986 0.596 0.393
629 1 0.252 2.0 Denmark 7.6 1.383 1.573 0.996 0.592 0.41
630 2 0.271 3.0 Norway 7.554 1.488 1.582 1.028 0.603 0.341
631 3 0.354 4.0 Iceland 7.494 1.38 1.624 1.026 0.591 0.118
632 4 0.322 5.0 Netherlands 7.488 1.396 1.522 0.999 0.557 0.298
633 5 0.263 6.0 Switzerland 7.48 1.452 1.526 1.052 0.572 0.343
634 6 0.267 7.0 Sweden 7.343 1.387 1.487 1.009 0.574 0.373
635 7 0.33 8.0 New Zealand 7.307 1.303 1.557 1.026 0.585 0.38
636 8 0.285 9.0 Canada 7.278 1.365 1.505 1.039 0.584 0.308
637 9 0.244 10.0 Austria 7.246 1.376 1.475 1.016 0.532 0.226
638 10 0.332 11.0 Australia 7.228 1.372 1.548 1.036 0.557 0.29
639 11 0.144 12.0 Costa Rica 7.167 1.034 1.441 0.963 0.558 0.093
640 12 0.261 13.0 Israel 7.139 1.276 1.455 1.029 0.371 0.082
641 13 0.194 14.0 Luxembourg 7.09 1.609 1.479 1.012 0.526 0.316
642 14 0.348 15.0 United Kingdom 7.054 1.333 1.538 0.996 0.45 0.278
643 15 0.298 16.0 Ireland 7.021 1.499 1.553 0.999 0.516 0.31
644 16 0.261 17.0 Germany 6.985 1.373 1.454 0.987 0.495 0.265
645 17 0.16 18.0 Belgium 6.923 1.356 1.504 0.986 0.473 0.21
646 18 0.28 19.0 United States 6.892 1.433 1.457 0.874 0.454 0.128
647 19 0.046 20.0 Czech Republic 6.852 1.269 1.487 0.92 0.457 0.036
648 20 0.262 21.0 United Arab Emirates 6.825 1.503 1.31 0.825 0.598 0.182
649 21 0.375 22.0 Malta 6.726 1.3 1.52 0.999 0.564 0.151
650 22 0.074 23.0 Mexico 6.595 1.07 1.323 0.861 0.433 0.073
651 23 0.111 24.0 France 6.592 1.324 1.472 1.045 0.436 0.183
652 24 0.242 25.0 Taiwan 6.446 1.368 1.43 0.914 0.351 0.097
653 25 0.187 26.0 Chile 6.444 1.159 1.369 0.92 0.357 0.056
654 26 0.175 27.0 Guatemala 6.436 0.8 1.269 0.746 0.535 0.078
655 27 0.08 28.0 Saudi Arabia 6.375 1.403 1.357 0.795 0.439 0.132
656 28 0.22 29.0 Qatar 6.374 1.684 1.313 0.871 0.555 0.167
657 29 0.153 30.0 Spain 6.354 1.286 1.484 1.062 0.362 0.079
658 30 0.109 31.0 Panama 6.321 1.149 1.442 0.91 0.516 0.054
659 31 0.099 32.0 Brazil 6.3 1.004 1.439 0.802 0.39 0.086
660 32 0.127 33.0 Uruguay 6.293 1.124 1.465 0.891 0.523 0.15
661 33 0.271 34.0 Singapore 6.262 1.572 1.463 1.141 0.556 0.453
662 34 0.093 35.0 El Salvador 6.253 0.794 1.242 0.789 0.43 0.074
663 35 0.158 36.0 Italy 6.223 1.294 1.488 1.039 0.231 0.03
664 36 0.255 37.0 Bahrain 6.199 1.362 1.368 0.871 0.536 0.11
665 37 0.121 38.0 Slovakia 6.198 1.246 1.504 0.881 0.334 0.014
666 38 0.185 39.0 Trinidad & Tobago 6.192 1.231 1.477 0.713 0.489 0.016
667 39 0.117 40.0 Poland 6.182 1.206 1.438 0.884 0.483 0.05
668 40 0.322 41.0 Uzbekistan 6.174 0.745 1.529 0.756 0.631 0.24
669 41 0.043 42.0 Lithuania 6.149 1.238 1.515 0.818 0.291 0.042
670 42 0.099 43.0 Colombia 6.125 0.985 1.41 0.841 0.47 0.034
671 43 0.144 44.0 Slovenia 6.118 1.258 1.523 0.953 0.564 0.057
672 44 0.2 45.0 Nicaragua 6.105 0.694 1.325 0.835 0.435 0.127
673 45 0.262 46.0 Kosovo 6.1 0.882 1.232 0.758 0.489 0.006
674 46 0.066 47.0 Argentina 6.086 1.092 1.432 0.881 0.471 0.05
675 47 0.083 48.0 Romania 6.07 1.162 1.232 0.825 0.462 0.005
676 48 0.19 49.0 Cyprus 6.046 1.263 1.223 1.042 0.406 0.041
677 49 0.126 50.0 Ecuador 6.028 0.912 1.312 0.868 0.498 0.087
678 50 0.142 51.0 Kuwait 6.021 1.5 1.319 0.808 0.493 0.097
679 51 0.359 52.0 Thailand 6.008 1.05 1.409 0.828 0.557 0.028
680 52 0.075 53.0 Latvia 5.94 1.187 1.465 0.812 0.264 0.064
681 53 0.175 54.0 South Korea 5.895 1.301 1.219 1.036 0.159 0.056
682 54 0.103 55.0 Estonia 5.893 1.237 1.528 0.874 0.495 0.161
683 55 0.107 56.0 Jamaica 5.89 0.831 1.478 0.831 0.49 0.028
684 56 0.215 57.0 Mauritius 5.888 1.12 1.402 0.798 0.498 0.06
685 57 0.069 58.0 Japan 5.886 1.327 1.419 1.088 0.445 0.14
686 58 0.246 59.0 Honduras 5.86 0.642 1.236 0.828 0.507 0.078
687 59 0.146 60.0 Kazakhstan 5.809 1.173 1.508 0.729 0.41 0.096
688 60 0.137 61.0 Bolivia 5.779 0.776 1.209 0.706 0.511 0.064
689 61 0.081 62.0 Hungary 5.758 1.201 1.41 0.828 0.199 0.02
690 62 0.184 63.0 Paraguay 5.743 0.855 1.475 0.777 0.514 0.08
691 63 0.191 64.0 Northern Cyprus 5.718 1.263 1.252 1.042 0.417 0.162
692 64 0.083 65.0 Peru 5.697 0.96 1.274 0.854 0.455 0.027
693 65 0.047 66.0 Portugal 5.693 1.221 1.431 0.999 0.508 0.025
694 66 0.22 67.0 Pakistan 5.653 0.677 0.886 0.535 0.313 0.098
695 67 0.082 68.0 Russia 5.648 1.183 1.452 0.726 0.334 0.031
696 68 0.117 69.0 Philippines 5.631 0.807 1.293 0.657 0.558 0.107
697 69 0.137 70.0 Serbia 5.603 1.004 1.383 0.854 0.282 0.039
698 70 0.181 71.0 Moldova 5.529 0.685 1.328 0.739 0.245 0.0
699 71 0.133 72.0 Libya 5.525 1.044 1.303 0.673 0.416 0.152
700 72 0.142 73.0 Montenegro 5.523 1.051 1.361 0.871 0.197 0.08
701 73 0.23 74.0 Tajikistan 5.467 0.493 1.098 0.718 0.389 0.144
702 74 0.119 75.0 Croatia 5.432 1.155 1.266 0.914 0.296 0.022
703 75 0.258 76.0 Hong Kong 5.43 1.438 1.277 1.122 0.44 0.287
704 76 0.113 77.0 Dominican Republic 5.425 1.015 1.401 0.779 0.497 0.101
705 77 0.263 78.0 Bosnia and Herzegovina 5.386 0.945 1.212 0.845 0.212 0.006
706 78 0.083 79.0 Turkey 5.373 1.183 1.36 0.808 0.195 0.106
707 79 0.26 80.0 Malaysia 5.339 1.221 1.171 0.828 0.508 0.024
708 80 0.094 81.0 Belarus 5.323 1.067 1.465 0.789 0.235 0.142
709 81 0.0 82.0 Greece 5.287 1.181 1.156 0.999 0.067 0.034
710 82 0.235 83.0 Mongolia 5.285 0.948 1.531 0.667 0.317 0.038
711 83 0.185 84.0 North Macedonia 5.274 0.983 1.294 0.838 0.345 0.034
712 84 0.215 85.0 Nigeria 5.265 0.696 1.111 0.245 0.426 0.041
713 85 0.3 86.0 Kyrgyzstan 5.261 0.551 1.438 0.723 0.508 0.023
714 86 0.244 87.0 Turkmenistan 5.247 1.052 1.538 0.657 0.394 0.028
715 87 0.073 88.0 Algeria 5.211 1.002 1.16 0.785 0.086 0.114
716 88 0.036 89.0 Morocco 5.208 0.801 0.782 0.782 0.418 0.076
717 89 0.035 90.0 Azerbaijan 5.208 1.043 1.147 0.769 0.351 0.182
718 90 0.166 91.0 Lebanon 5.197 0.987 1.224 0.815 0.216 0.027
719 91 0.498 92.0 Indonesia 5.192 0.931 1.203 0.66 0.491 0.028
720 92 0.058 93.0 China 5.191 1.029 1.125 0.893 0.521 0.1
721 93 0.147 94.0 Vietnam 5.175 0.741 1.346 0.851 0.543 0.073
722 94 0.37 95.0 Bhutan 5.082 0.813 1.321 0.604 0.457 0.167
723 95 0.187 96.0 Cameroon 5.044 0.549 0.91 0.331 0.381 0.037
724 96 0.081 97.0 Bulgaria 5.011 1.092 1.513 0.815 0.311 0.004
725 97 0.245 98.0 Ghana 4.996 0.611 0.868 0.486 0.381 0.04
726 98 0.154 99.0 Ivory Coast 4.944 0.569 0.808 0.232 0.352 0.09
727 99 0.285 100.0 Nepal 4.913 0.446 1.226 0.677 0.439 0.089
728 100 0.11 101.0 Jordan 4.906 0.837 1.225 0.815 0.383 0.13
729 101 0.175 102.0 Benin 4.883 0.393 0.437 0.397 0.349 0.082
730 102 0.105 103.0 Congo (Brazzaville) 4.812 0.673 0.799 0.508 0.372 0.093
731 103 0.043 104.0 Gabon 4.799 1.057 1.183 0.571 0.295 0.055
732 104 0.266 105.0 Laos 4.796 0.764 1.03 0.551 0.547 0.164
733 105 0.13 106.0 South Africa 4.722 0.96 1.351 0.469 0.389 0.055
734 106 0.178 107.0 Albania 4.719 0.947 0.848 0.874 0.383 0.027
735 107 0.064 108.0 Venezuela 4.707 0.96 1.427 0.805 0.154 0.047
736 108 0.232 109.0 Cambodia 4.7 0.574 1.122 0.637 0.609 0.062
737 109 0.103 110.0 Palestinian Territories 4.696 0.657 1.247 0.672 0.225 0.066
738 110 0.153 111.0 Senegal 4.681 0.45 1.134 0.571 0.292 0.072
739 111 0.243 112.0 Somalia 4.668 0.0 0.698 0.268 0.559 0.27
740 112 0.07 113.0 Namibia 4.639 0.879 1.313 0.477 0.401 0.056
741 113 0.188 114.0 Niger 4.628 0.138 0.774 0.366 0.318 0.102
742 114 0.177 115.0 Burkina Faso 4.587 0.331 1.056 0.38 0.255 0.113
743 115 0.095 116.0 Armenia 4.559 0.85 1.055 0.815 0.283 0.064
744 116 0.27 117.0 Iran 4.548 1.1 0.842 0.785 0.305 0.125
745 117 0.207 118.0 Guinea 4.534 0.38 0.829 0.375 0.332 0.086
746 118 0.043 119.0 Georgia 4.519 0.886 0.666 0.752 0.346 0.164
747 119 0.269 120.0 Gambia 4.516 0.308 0.939 0.428 0.382 0.167
748 120 0.372 121.0 Kenya 4.509 0.512 0.983 0.581 0.431 0.053
749 121 0.106 122.0 Mauritania 4.49 0.57 1.167 0.489 0.066 0.088
750 122 0.197 123.0 Mozambique 4.466 0.204 0.986 0.39 0.494 0.138
751 123 0.059 124.0 Tunisia 4.461 0.921 1.0 0.815 0.167 0.055
752 124 0.166 125.0 Bangladesh 4.456 0.562 0.928 0.723 0.527 0.143
753 125 0.148 126.0 Iraq 4.437 1.043 0.98 0.574 0.241 0.089
754 126 0.212 127.0 Congo (Kinshasa) 4.418 0.094 1.125 0.357 0.269 0.053
755 127 0.153 128.0 Mali 4.39 0.385 1.105 0.308 0.327 0.052
756 128 0.252 129.0 Sierra Leone 4.374 0.268 0.841 0.242 0.309 0.045
757 129 0.244 130.0 Sri Lanka 4.366 0.949 1.265 0.831 0.47 0.047
758 130 0.566 131.0 Myanmar 4.36 0.71 1.181 0.555 0.525 0.172
759 131 0.198 132.0 Chad 4.35 0.35 0.766 0.192 0.174 0.078
760 132 0.187 133.0 Ukraine 4.332 0.82 1.39 0.739 0.178 0.01
761 133 0.209 134.0 Ethiopia 4.286 0.336 1.033 0.532 0.344 0.1
762 134 0.074 135.0 Swaziland 4.212 0.811 1.149 0.0 0.313 0.135
763 135 0.252 136.0 Uganda 4.189 0.332 1.069 0.443 0.356 0.06
764 136 0.076 137.0 Egypt 4.166 0.913 1.039 0.644 0.241 0.067
765 137 0.247 138.0 Zambia 4.107 0.578 1.058 0.426 0.431 0.087
766 138 0.177 139.0 Togo 4.085 0.275 0.572 0.41 0.293 0.085
767 139 0.2 140.0 India 4.015 0.755 0.765 0.588 0.498 0.085
768 140 0.233 141.0 Liberia 3.975 0.073 0.922 0.443 0.37 0.033
769 141 0.275 142.0 Comoros 3.973 0.274 0.757 0.505 0.142 0.078
770 142 0.169 143.0 Madagascar 3.933 0.274 0.916 0.555 0.148 0.041
771 143 0.107 144.0 Lesotho 3.802 0.489 1.169 0.168 0.359 0.093
772 144 0.176 145.0 Burundi 3.775 0.046 0.447 0.38 0.22 0.18
773 145 0.151 146.0 Zimbabwe 3.663 0.366 1.114 0.433 0.361 0.089
774 146 0.419 147.0 Haiti 3.597 0.323 0.688 0.449 0.026 0.11
775 147 0.025 148.0 Botswana 3.488 1.041 1.145 0.538 0.455 0.1
776 148 0.331 149.0 Syria 3.462 0.619 0.378 0.44 0.013 0.141
777 149 0.218 150.0 Malawi 3.41 0.191 0.56 0.495 0.443 0.089
778 150 0.108 151.0 Yemen 3.38 0.287 1.163 0.463 0.143 0.077
779 151 0.217 152.0 Rwanda 3.334 0.359 0.711 0.614 0.555 0.411
780 152 0.276 153.0 Tanzania 3.231 0.476 0.885 0.499 0.417 0.147
781 153 0.158 154.0 Afghanistan 3.203 0.35 0.517 0.361 0.0 0.025
782 154 0.235 155.0 Central African Republic 3.083 0.026 0.0 0.105 0.225 0.035
783 155 0.202 156.0 South Sudan 2.853 0.306 0.575 0.295 0.01 0.091

145
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Id,Name,Gender,Job,House,Wand,Patronus,Species,Blood status,Hair colour,Eye colour,Loyalty,Skills,Birth,Death
1,Harry James Potter,Male,Student,Gryffindor,"11"" Holly phoenix feather",Stag,Human,Half-blood,Black,Bright green,Albus Dumbledore | Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Parseltongue| Defence Against the Dark Arts | Seeker,31 July 1980,
2,Ronald Bilius Weasley,Male,Student,Gryffindor,"12"" Ash unicorn tail hair ",Jack Russell terrier,Human,Pure-blood,Red,Blue,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Wizard chess | Quidditch goalkeeping,1 March 1980,
3,Hermione Jean Granger,Female,Student,Gryffindor,"10¾"" vine wood dragon heartstring",Otter,Human,Muggle-born,Brown,Brown,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Almost everything,"19 September, 1979",
4,Albus Percival Wulfric Brian Dumbledore,Male,Headmaster,Gryffindor,"15"" Elder Thestral tail hair core",Phoenix,Human,Half-blood,Silver| formerly auburn,Blue,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Considered by many to be one of the most powerful wizards of his time,Late August 1881,"30 June, 1997 "
5,Rubeus Hagrid,Male,Keeper of Keys and Grounds | Professor of Care of Magical Creatures ,Gryffindor,"16"" Oak unknown core",,Half-Human/Half-Giant,Part-Human (Half-giant),Black,Black,Albus Dumbledore | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Resistant to stunning spells| above average strength | crossbowmanship,6 December 1928,
6,Neville Longbottom,Male,Student,Gryffindor,"13"" Cherry unicorn hair",Non-corporeal,Human,Pure-blood,Blond,,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Herbology,"30 July, 1980",
7,Fred Weasley,Male,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood,Red,Brown,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Beater,"1 April, 1978 ","2 May, 1998"
8,George Weasley,Male,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood,Red,Brown,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Beater," 1 April, 1978 ",
9,Ginevra (Ginny) Molly Weasley,Female,Student,Gryffindor,Unknown,Horse,Human,Pure-blood,Red,Bright brown,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Chaser| Bat-Bogey hex,"11 August, 1981",
10,Dean Thomas,Male,Student,Gryffindor,Unknown,Unknown,Human,Muggle-born,Black,Brown,Dumbledore's Army | Hogwarts School of Witchcraft and Wizardry,Chaser, 1 September 1979- 31 August 1980,
11,Seamus Finnigan,Male,Student,Gryffindor,Unknown,Fox,Human,Half-blood,Sandy,,Dumbledore's Army | Hogwarts School of Witchcraft and Wizardry,Pyrotechnics, 1 September 1979- 31 August 1981,
12,Lily J. Potter,Female,,Gryffindor,"10¼"" Willow unknown core",Doe,Human,Muggle-born,Auburn,Bright green,Order of the Phoenix,,"30 January, 1960 ","31 October, 1981"
13,James Potter,Male,,Gryffindor,"11"" Mahogany unknown core",Stag,Human,Pure-blood,Black,Hazel,Order of the Phoenix,Animagus| Seeker,"27 March, 1960","31 October, 1981"
14,Sirius Black,Male,,Gryffindor,Unknown,Unknown,Human,Pure-blood,Black,Grey,Order of the Phoenix,Animagus| nonverbal magic| Charms,"3 November, 1959","18 June, 1996"
15,Remus John Lupin,Male,Professor of Defence Against the Dark Arts ,Gryffindor,"10¼"" Cypress unicorn hair",Wolf,Werewolf,Half-blood,Light brown flecked with grey,Green,Order of the Phoenix,Exceptionally gifted in Defence Against the Dark Arts,"10 March, 1960","2 May, 1998"
16,Peter Pettigrew,Male,The Servant of Lord Voldemort,Gryffindor,"9¼"" Chestnut dragon heartstring",,Human,Half-blood or pure-blood,Colourless and balding,Blue,Lord Voldemort| Death Eaters,Animagus,1 September 1959- 31 August 1960,Late March 1998
17,Percy Ignatius Weasley,Male,Student|Prefect| Personal assistant to Barty Crouch Snr ,Gryffindor,Unknown,Unknown,Human,Pure-blood,Red,Blue,Order of the Phoenix| Hogwarts School of Witchcraft and Wizardry |British Ministry of Magic,Intelligent| hard-working| a model student,"22 August, 1976 ",
18,(Bill) William Arthur Weasley,Male,Curse-Breaker for Gringotts Bank,Gryffindor,Unknown,Unknown,Human (Werewolf traits),Pure-blood,Red,Blue,Order of the Phoenix,Highly skilled curse-breaker for Gringotts Wizarding Bank| very intelligent| past Hogwarts Head Boy,"29 November, 1970",
19,Charles Weasley,Male,Dragonologist,Gryffindor,"12"" Ash unicorn tail hair",Unknown,Human,Pure-blood,Red,Grey,Order of the Phoenix | Gringotts Wizarding Bank,Highly skilled dragon trainer| one-time Gryffindor Seeker,"12 December, 1972",
20,Lee Jordan ,Male,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Black,Brown,Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Quidditch commentary | broadcasting, 1 September 1977- 31 August 1978,
21,Oliver Wood,Male,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or Half-blood,,,Hogwarts School of Witchcraft and Wizardry,Keeper| Captain of the Gryffindor Quidditch team, October 1975 - 31 August 1976,
22,Angelina Johnson,Female,Student,Gryffindor,Unknown,Unknown,Human,Unknown,Brown,Brown,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Chaser,"24 – 30 October, 1977",
23,Katie Bell,Female,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Brown,Brown,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Chaser, 1 September 1978- 31 August 1979,
24,Alicia Spinnet,Female,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Brown,Brown,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Chaser,1 September 1977- 31 August 1978,
25,Lavender Brown,Female,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood,Blond,Blue,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Divination, 1 September 1979- 31 August 1980,"2 May, 1998"
26,Parvati Patil,Female,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Dark,Dark,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Divination, 1 September 1979- 21 April 1980,
27,Romilda Vane,Female,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Black,Dark,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Spiking Chocolate Cauldrons with love potion, 1 September 1981- 31 August 1982,
28,Colin Creevey,Male,Student,Gryffindor,Unknown,Unknown,Human,Muggle-born,Mousy,,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Photography, 3 May - 31 August 1981,"2 May, 1998"
29,Cormac McLaggen,Male,Student,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Blond,,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Quidditch Keeper, 1 September 1978- 31 August 1979,
30,Minerva McGonagall,Female,Professor of Transfiguration | Head of Gryffindor,Gryffindor,"9½"" Fir dragon heartstring",Cat,Human,Half-blood,Black,Green,Albus Dumbledore | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry,Animagus ,4 October,
31,Molly Weasley,Female,,Gryffindor,Unknown,Unknown,Human,Pure-blood,Red,Bright brown,Order of the Phoenix,Household spells| healing magic,"30 October, 1949 ",
32,Arthur Weasley,Male,Head of the Misuse of Muggle Artefacts Office,Gryffindor,Unknown,Weasel,Human,Pure-blood,Red,Green,Order of the Phoenix| British Ministry of Magic,Muggle world works,"6 February, 1950",
33,Quirinus Quirrell,Male,Defence Against the Dark Arts(1991-1992),Ravenclaw,"9"" Alder unicorn hair bendy",Non-corporeal,Human,Half-blood,,,Lord Voldemort,Learned in the theory of Defensive Magic| less adept in the practise,"26 September,1970 or earlier",4 June 1992
34,Cho Chang,Female,Student,Ravenclaw,Unknown,Swan,Human,Pure-blood or half-blood,Black,Dark,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Seeker,1 September 1978-31 August 1979,
35,Luna Lovegood,Female,Student,Ravenclaw,Unknown,Hare,Human,Pure-blood or half-blood,Dirty-blonde,Pale silvery,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Spotting Nargles,"13 February, 1981",
36,Gilderoy Lockhart,Male,Defence Against the Dark Arts(1992-1993),Ravenclaw,"9"" Cherry dragon heartstring",Non-corporeal,Human,Half-blood,Blond,Blue,,,26 January 1964,
37,Filius Flitwick,Male,Professor of Charms | Head of Ravenclaw,Ravenclaw,Unknown,Non-corporeal,Human(goblin ancestry),Part-Goblin,White,,,Charms,17 October 1958 or earlier ,
38,Sybill Patricia Trelawney,Female,Professor of Divination,Ravenclaw,9 ½” hazel unicorn hair core,Non-corporeal,Human,Half-blood,,,,"A Seer, though the gift is unpredictable and unconscious",9 March prior to 1962 ,
39,Garrick Ollivander,Male,Wandmaker,Ravenclaw,"12¾"" Hornbeam dragon heartstring",Non-corporeal,Human,Half-blood,,Silvery,,An incomparable understanding of wandcraft,"25 September, pre 1908",
40,Myrtle Elizabeth Warren (Moaning Myrtle),Female,Student,Ravenclaw,Unknown,Unknown,Ghost,Muggle-born,,,,,14 June 1928 -13 June 1929,"13 June, 1943"
41,Padma Patil,Female,Student,Ravenclaw,Unknown,Non-corporeal,Human,Pure-blood or half-blood,Dark,Dark,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Prefect, 1 September 1979 - 21 April 1980,
42,Michael Corner,Male,Student,Ravenclaw,Unknown,Squirrel,Human,Half-blood,Black,Brown,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Potions, 1 September 1979 - 31 August 1980,
43,Marietta Edgecombe,Female,Student,Ravenclaw,Unknown,Unknown,Human,Pure-blood or half-blood,Reddish-blonde,Grey,,Covering up the spots that blight her face after betraying Dumbledore's Army,1978-1979,
44,Terry Boot,Male,Student,Ravenclaw,Unknown,Unknown,Human,Pure-blood or half-blood,,,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,"Potions, also knowledgable about Charms",1 September 1979- 21 April 1980,
45,Anthony Goldstein,Male,Student,Ravenclaw,Unknown,Non-corporeal,Human,Half-blood,Blonde,Grey,Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry,Prefect, 1 September 1979- 31 August 1980,
46,Severus Snape,Male,Professor of Potions | Head of Slytherin,Slytherin,Unknown,Doe,Human,Half-blood,Black,Black,,Extremely skilled at potions and Occlumency,9 January 1960,"2 May, 1998"
47,Draco Malfoy,Male,Student,Slytherin,"10"" Hawthorn unicorn hair",Unknown,Human,Pure-blood,White-blond,Grey,,"Prefect, Seeker","5 June, 1980",
48,Vincent Crabbe,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood,Black,Black,,Beater,c. 1979-1980,"2 May, 1998"
49,Gregory Goyle,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood,Brown,,,Beater,1 September 1979-31 August 1980,
50,Bellatrix Lestrange,Female,,Slytherin,"12¾"" Walnut dragon heartstring",,Human,Pure-blood,Black,,Lord Voldemort  | Death Eaters,She is a duellist of great skill and an experienced Occlumens,1951,"2 May, 1998"
51,Dolores Jane Umbridge,Female,Professor of Defence Against the Dark Arts | Department of Magical Law Enforcement,Slytherin,"8"" Birch dragon heartstring",Cat,Human,Half-blood,Iron grey,,Ministry of Magic,Her punishment quill is of her own invention,26 August,
52,Horace Eugene Flaccus Slughorn,,Professor of Potions ,Slytherin,"10¼"" Cedar dragon heartstring fairly flexible",Non-corporeal,Human,Pure-blood or half-blood,Bald,Gooseberry,,"Accomplished Occlumens, expert Potioneer, advanced self-transfiguration",28 April,
53,Lucius Malfoy,Male,School Governor,Slytherin,Elm and dragon heartstring,Unknown,Human,Pure-blood,White-blond,Grey,Lord Voldemort  | Death Eaters,Skilled duellist and potioneer,c. 1954,
54,Narcissa Malfoy,Female,,Slytherin,Unknown,Unknown,Human,Pure-blood,Blonde,Blue,Lord Voldemort  | Death Eaters,,1955,
55,Regulus Arcturus Black,Male,,Slytherin,Unknown,Non-corporeal,Human,Pure-blood,Black,,,Seeker,1961,1979
56,Pansy Parkinson,Female,Student,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,,,,Prefect, 1 September 1979- 31 August 1980,
57,Blaise Zabini,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,Black,Brown,,Chaser,"1 September, 1979 – 21 April, 1980",
58,Tom Marvolo Riddle,Male,Student,Slytherin,"13½"" Yew phoenix feather core",Unknown,Human,Half-blood,Bald,Scarlet ,,"Dark Lord, Outstanding manipulation, Parseltongue, Heir of Slytherin, Dark magic, Inferi creation and control",31 December 1926,"2 May, 1998"
59,Theodore Nott,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood,Brown,,,,"1 September, 1979 – 21 April, 1980",
60,Rodolphus Lestrange,Male,,Slytherin,Unknown,Unknown,Human,Pure-blood,Dark,Dark,Lord Voldemort  | Death Eaters,,Pre 1964,
61,Millicent Bulstrode,Female,Student,Slytherin,Unknown,Unknown,Human,Half-blood,Black,,,,1 September 1979- 31 August 1980 ,
62,Graham Montague,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,Brown,Brown,,"Quidditch captain, Chaser",In or prior to c.1981,
63,Bloody Baron,Male,Slytherin House Ghost,Slytherin,Unknown,Unknown,Ghost,Pure-blood or half-blood,,,,Controlling Peeves,Post 982,11th century
64,Marcus Flint,Male,Student,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,Black,,,"Chaser, Captain", 1 September 1975- 31 August 1976,
65,Penelope Clearwater,Female,Student,Ravenclaw,Unknown,Non-corporeal,Human,Muggle-born or half-blood[,Blonde,,,Prefect, 1 September 1975- 31 August 1976,
66,Roger Davies,Male,Student,Ravenclaw,Unknown,Unknown,Human,,Dark,Dark,,"Quidditch Captain, Chaser", 1 September 1977- 31 August 1978,
67,Marcus Belby,Male,Student,Ravenclaw,Unknown,Unknown,Human,Pure-blood or half-blood,Brown,Dark,,, 1 September 1978 - 31 August 1979,
68,Salazar Slytherin,Male,Founder of Slytherin,Slytherin,"snakewood, Basilisk horn",Unknown,Human,Pure-blood,Grey,Dark,,Accomplished Legilimens and one of the first recorded Parselmouths,Pre 976,11th century
69,Godric Gryffindor,Male,Founder of Gryffindor,Gryffindor,Unknown,Unknown,Human,Pure-blood or half-blood,Red,Green,,The most accomplished duellist of his time,Pre 976,11th century
70,Rowena Ravenclaw,Female,Founder of Ravenclaw,Ravenclaw,Unknown,Unknown,Human,Pure-blood or half-blood,Black,Dark,,"Extremely skilled witch, known for her intelligence and wisdom",Pre 976,11th century
71,Nicholas de Mimsy-Porpington,Male,Gryffindor House Ghost,Gryffindor,Unknown,Unknown,Ghost,,Grey,,,,1401 -1475,"31 October, 1492"
72,Cuthbert Binns,Male,Professor of History of Magic ,,Unknown,Unknown,Ghost,,White (balding),Black,,Boring a class with facts that might be interesting if anyone else was giving the lesson,,Pre 1970s
73,Barty Crouch Jr.,Male,Professor of Defence Against the Dark Arts (as Alastor Moody) ,,Unknown,Unknown,Human,Pure-blood or half-blood,Straw blond,"Pale, freckled",Lord Voldemort  | Death Eaters,Skilled potioneer,1962,1995-1996
74,Charity Burbage,Female,Professor of Muggle Studies,,Unknown,Non-corporeal,Human,Pure-blood or half-blood,Blonde,,,Teaching and studying the Muggle world,Before 1976,"Late July, 1997"
75,Firenze,Male,Professor of Divination,,,,Centaur,,White-blond,Astonishingly blue,,,,
76,Alecto Carrow,Female,Professor of Muggle Studies,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,,,Lord Voldemort  | Death Eaters,Spreading anti-Muggle propaganda,Pre 1981,
77,Amycus Carrow,Male,Professor of Dark Arts,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,,,Lord Voldemort  | Death Eaters,Cruciatus Curse,Pre 1982,
78,Helga Hufflepuff,Female,Founder of Hufflepuff,Hufflepuff,Unknown,Unknown,Human,Pure-blood or half-blood,Brown,Blue,,Food-related Charms. Many traditional Hogwarts recipes originated with her,Pre 976,11th century
79,Fat Friar,Male,Hufflepuff House Ghost,Hufflepuff,Unknown,Unknown,Ghost,,Brown,,,Curing peasants of the pox,10th century,Pre 1988
80,Helena Ravenclaw,Female,Ravenclaw House Ghost,Ravenclaw,Unknown,Unknown,Ghost,Pure-blood or half-blood,Black,Grey,,,Post 982,996-1000
81,Nymphadora Tonks,Female,Auror,Hufflepuff,Unknown,"Jack rabbit, Wolf",Human,Half-blood,Variable,Variable,Ministry of Magic | Order of the Phoenix,"Talented Auror, Metamorphmagus", 1 September 1972- 31 August 1973,"2 May, 1998"
82,Pomona Sprout,Female,Professor of Herbology | Head of Hufflepuff House,Hufflepuff,Unknown,Non-corporeal,Human,Pure-blood or half-blood,,Grey,,Herbology,15 May,
83,Newton Scamander,Male,Employee in the Beast Division of the Department for the Regulation and Control of Magical Creatures,Hufflepuff,Unknown,Unknown,Human,Pure-blood or half-blood,Red brown,Blue,,"Magizoology, Order of Merlin, Second Class",24 February 1897,
84,Cedric Diggory,Male,Student,Hufflepuff,"12¼"", Ash, unicorn hair",Unknown,Human,Pure-blood,Dark,Grey,,Skilled Seeker,1 September - 30 October 1977,"24 June, 1995"
85,Justin Finch-Fletchley,Male,Student,Hufflepuff,Unknown,Non-corporeal,Human,Muggle-born,Red,,Dumbledore's Army,,1 September 1979- 31 August 1980,
86,Zacharias Smith,Male,Student,Hufflepuff,Unknown,Unknown,Human,Pure-blood or half-blood,Blonde,,Dumbledore's Army,Chaser,1 September 1979 - 2 May 1981,
87,Hannah Abbott,Female,Student,Hufflepuff,Unknown,Non-corporeal,Human,Half-blood,Blonde,Brown,Dumbledore's Army,"Defensive spells, learned with Dumbledore's Army",1 September 1979 - 31 August 1980,
88,Ernest Macmillan,Male,Student,Hufflepuff,Unknown,Boar,Human,Pure-blood,Blond,,Dumbledore's Army,"Revising, being a Prefect, getting the wrong end of the stick",21 April 1980 - 31 August 1980,
89,Susan Bones,Female,Student,Hufflepuff,Unknown,Unknown,Human,Half-blood,,,Dumbledore's Army,"Defensive spells, learned with Dumbledore's Army",1 September 1979 - 31 August 1980,
90,Walden Macnair,Male,Executioner for the Committee for the Disposal of Dangerous Creatures,Slytherin,Unknown,Unknown,Human,Pure-blood or half-blood,Black,,Lord Voldemort  | Death Eaters,Liaising with giants,In or before 1970s,
91,Augustus Rookwood,Male,Unspeakable,Slytherin,Unknown,,Human,Pure-blood or half-blood,Brown/greying,,Lord Voldemort  | Death Eaters,Spying for Lord Voldemort,pre 1964,
92,Antonin Dolohov,Male,Death Eater,Slytherin,Unknown,,Human,Pure-blood or Half-blood,Dark,,Lord Voldemort  | Death Eaters,Duelling. Fought and killed Molly Weasley's brothers and Remus Lupin,pre 1950,
93,Corban Yaxley,Male,Head of the Department of Magical Law Enforcement,Slytherin,Unknown,,Human,Pure-blood or Half-blood,Blonde,Blue,Lord Voldemort  | Death Eaters,"Imperius curse, undercover work",Pre 1970s,
94,Igor Karkaroff,Male,Headmaster of Durmstrang Institute,,Unknown,,Human,Pure-blood or Half-blood,Silver| formerly black,,,Skilled in the Dark Arts,pre 1965,"24 June, 1995 – 31 July, 1996"
95,Kingsley Shacklebolt,Male,Auror | Minister for Magic,,Unknown,Lynx,Human,Pure-blood,Bald,Black,Order of the Phoenix,Exceptionally skilled duellist and Auror,Pre 1973,
96,Alastor Moody,Male,Auror ,,Unknown,Non-corporeal,Human,Pure-blood,Grey,"One dark, one electric blue",Order of the Phoenix,"A highly accomplished Auror and an outstanding duellist, also skilled in non-verbal magic",Pre 1960,"27 July, 1997"
97,Alice Longbottom,Female,Auror,,Unknown,Unknown,Human,Pure-blood,Blonde,,Original Order of the Phoenix,Auror,,
98,Frank Longbottom,Male,Auror,Gryffindor,"Inherited by his son, Neville. It was broken in battle at the Department of Mysteries.",Unknown,Human,Pure-blood,Blonde,,Original Order of the Phoenix,Auror, 1 September 1957 - 31 August 1959 or earlier,
99,Rufus Scrimgeour,Male,Head of Auror Office| Minister for Magic,,Unknown,Non-corporeal,Human,,Tawny,Yellowish,Minister of Magic,Highly regarded as a skilled Auror,Pre 1968,"1 August, 1997"
100,Cornelius Oswald Fudge,Male,Minister for Magic,,Unknown,Non-corporeal,Human,Pure-blood or Half-blood,Grey,,Minister of Magic,Turning a blind eye to the continuing threat of Dark Magic in the name of keeping up morale,Pre 1964,
101,Barty Crouch Sr.,Male,Head of the Department of International Magical Cooperation,,Unknown,Non-corporeal,Human,Pure-blood,Grey,,Minister of Magic,"Multilingual, able to fight the Imperius curse",Pre 1940,"27 May, 1995"
102,Amos Diggory,Male,Employee of the Department for the Regulation and Control of Magical Creatures[,,Unknown,Non-corporeal,Human,Pure-blood or half-blood,Brown,Ruddy,Minister of Magic,Works for the Department for the Regulation and Control of Magical Creatures,,
103,Dedalus Diggle,Male,,,Unknown,Non-corporeal,Human,Pure-blood or half-blood,,,Order of the Phoenix,An enthusiastic volunteer for the Order and a helpful escort for Harry and his relatives,Pre 1964,
104,Elphias Doge,Male,Special Advisor to the Wizengamot,,Unknown,Non-corporeal,Human,Pure-blood,Silver,Grey/Blue[,Order of the Phoenix,Writing, 1 September 1880 - 31 August 1881,
105,Fleur Isabelle Delacour,Female,Part-time at Gringotts Wizarding Bank,Beauxbatons Academy of Magic,"9½"", Rosewood, veela hair",Non-corporeal,Human,Quarter-Veela,Silvery-blonde,Dark blue[,Order of the Phoenix,"part Veela, and therefore possesses some of their magical powers. She was also selected to compete in the Triwizard Tournament","Pre 30 October, 1977",
106,Aberforth Dumbledore,Male,Owner and Barman of the Hog's Head Inn,,Unknown,Goat,Human,Half-blood,Grey,Bright Blue,Order of the Phoenix,"Bartending, caring for Ariana", 1 September 1883-31 August 1884,
107,Mundungus Fletcher,Male,Dealer of wizarding artifacts,,Unknown,Non-corporeal,Human,Half-blood[,Ginger,Brown,Order of the Phoenix,"Gathering information for the Order, dealing in stolen cauldrons, 'acquiring' the odd Muggle car",Before 1962,
108,Sturgis Podmore,Male,Advance Guard,,Unknown,Unknown,Human,Pure-blood or half-blood,Straw-coloured,Brown,Order of the Phoenix,Carrying out guard duty for the Order, 8 September 1956 - 7 September 1957,
109,Hestia Jones,Female,Advance Guard,,Unknown,Unknown,Human,Pure-blood or half-blood,Black,,Order of the Phoenix,Carrying out escort missions for the Order,Pre 1978,
110,Marlene McKinnon,Female,,,Unknown,Unknown,Human,,Red,Brown,Original Order of the Phoenix,,,"July, 1981"
111,Fabian Prewett,Male,,,Unknown,Unknown,Human,Pure-blood,Red,Grey,Original Order of the Phoenix,Duelling,,1981
112,Gideon Prewett,Male,,,Unknown,Unknown,Human,Pure-blood,Red ,Dark Grey,Original Order of the Phoenix,Duelling,,1981
113,Emmeline Vance,Female,Advance Guard,,Unknown,Unknown,Human,,,,Order of the Phoenix,,pre 1964,"Early July, 1996"
114,Edgar Bones,Male,,Hufflepuff,Unknown,Unknown,Human,Pure-blood or half-blood,Reddish-brown,Grey,Original Order of the Phoenix,Said to be a great wizard,,1981
115,Dorcas Meadowes,Female,,,Unknown,Unknown,Human,,Black,Brown,Original Order of the Phoenix,,,1981
116,Benjy Fenwick,Male,,,Unknown,Unknown,Human,,Black,Black,Original Order of the Phoenix,,,1981
117,Madame Olympe Maxime,Female,Headmistress of Beauxbatons Academy of Magic,Beauxbatons Academy of Magic,Unknown,Unknown,Half-Human/Half-Giant,Part-Human (Half-giant),Brown,Black,,"An ‘excellent dancer’, in the words of Dumbledore himself",,
118,Gabrielle Delacour,Female,,Beauxbatons Academy of Magic,Unknown,Unknown,Human ,Quarter-Veela,Silvery-blonde,,,part Veela and therefore may possess some of their magical powers, 31 July 1985 - 30 July 1986,
119,Viktor Krum,Male,Seeker for the Bulgarian National Quidditch team,Durmstrang Institute,"10¼"", Hornbeam, dragon heartstring",Unknown,Human ,Pure-blood or half-blood,Dark,Dark,,One of the best Seekers in the world,"April-August, 1976",
120,Petunia Dursley,Female,,,,,Human ,Muggle,Blonde,,,,Pre 1960,
121,Vernon Dursley,Male,Director at Grunnings,,,,Human ,Muggle,Black,,,"Schmoozing clients, pretending magic doesn't exist",Pre 1954,
122,Dudley Dursley,Male,,,,,Human ,Muggle,Blond,Blue,,, 23 June 1980,
123,Marge Dursley,Female,Dog breeder,,,,Human ,Muggle,Grey,,,Breeding bulldogs,Pre 1954,
124,Dennis Creevey,Male,Student,Gryffindor,Unknown,Unknown,Human ,Muggle-born,Mousy brown,,Dumbledore's Army,, 1 September 1982 - 31 August 1983,
125,Albus Severus Potter,Male,Student,Slytherin,Unknown,Unknown,Human ,Half-blood,Jet-black,Bright green,,,Between 1 September 2005-31 August 2006,
126,Scorpius Hyperion Malfoy,Male,Student,Slytherin,Unknown,Unknown,Human ,Pure-blood,White blond,Grey,,,Between 1 September 2005-31 August 2007,
127,Edward Remus Lupin,Male,Student,Hufflepuff,Unknown,Unknown,Human (Metamorphmagus),Half-blood,Variable,Variable,,,"April, 1998",
128,James Sirius Potter,Male,Student,Gryffindor,Unknown,Unknown,Human ,Half-blood,,,,,1 September 2003-31 August 2004,
129,Rose Granger-Weasley,Female,Student,Gryffindor,Unknown,Unknown,Human ,Half-blood,Red,,,Chaser,1 September 2005-31 August 2006 ,
130,Argus Filch,Male,Caretaker of Hogwarts,,,,Human ,Squib,Grey,Pale,Hogwarts School of Witchcraft and Wizardry,Sniffing out mischief,Pre 1951,
131,Poppy Pomfrey,Female,Matron at Hogwarts School,,Unknown,Non-corporeal,Human ,Pure-blood or half-blood,,,Hogwarts School of Witchcraft and Wizardry,Skilled medical healer,pre 1954,
132,Rolanda Hooch,Female,Flying Instructor at Hogwarts,,Unknown,Non-corporeal,Human ,,Grey,Yellow,Hogwarts School of Witchcraft and Wizardry,"Teaching, flying, refereeing Quidditch matches",pre 1918,
133,Irma Pince,Female,Librarian at Hogwarts,,Unknown,Non-corporeal,Human ,,,,Hogwarts School of Witchcraft and Wizardry,,Pre 1966,
134,Aurora Sinistra,Female,Astronomer at Hogwarts,,Unknown,Unknown,Human ,Pure-blood or half-blood,Dark,Dark,Hogwarts School of Witchcraft and Wizardry,,Pre 1968,
135,Septima Vector,Female,Professor of Arithmancyat Hogwarts,,Unknown,Unknown,Human ,,Black,,Hogwarts School of Witchcraft and Wizardry,,Before 1974,
136,Wilhelmina Grubbly-Plank,Female,Substitute professor of Care of Magical Creatures at Hogwarts,,Unknown,Non-corporeal,Human ,,Grey,,Hogwarts School of Witchcraft and Wizardry,,,
137,Fenrir Greyback,Male,,,Unknown,,Werewolf,,Grey,,Lord Voldemort  | Death Eaters,Physical combat,Pre 1945,
138,Gellert Grindelwald,Male,Revolutionary leader(c. 1920s[6] – 1945),,"15"", Elder, Thestral tail hair core",,Human ,Pure-blood or half-blood,Blond,Blue,Gellert Grindelwald's Acolytes,Duelling,1883,"March, 1998"
139,Dobby,Male,"Malfoy family's house-elf (? - 1993),
Hogwarts kitchens worker (December 1994 - 1998)",,,,House elf,,Green,,,"A type of magic specific to house-elves, performed without a wand which includes the ability to apparate, disarm and make objects levitate",28 June,"Late March, 1998"
140,Kreacher,Male,"
Black family's house-elf (?-1996),
Harry Potter's house-elf,
Hogwarts kitchen worker ",,,,House elf,,White,,,"Magic performed without a wand which includes the ability to apparate, disarm and make objects levitate",,
1 Id Name Gender Job House Wand Patronus Species Blood status Hair colour Eye colour Loyalty Skills Birth Death
2 1 Harry James Potter Male Student Gryffindor 11" Holly phoenix feather Stag Human Half-blood Black Bright green Albus Dumbledore | Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Parseltongue| Defence Against the Dark Arts | Seeker 31 July 1980
3 2 Ronald Bilius Weasley Male Student Gryffindor 12" Ash unicorn tail hair Jack Russell terrier Human Pure-blood Red Blue Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Wizard chess | Quidditch goalkeeping 1 March 1980
4 3 Hermione Jean Granger Female Student Gryffindor 10¾" vine wood dragon heartstring Otter Human Muggle-born Brown Brown Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Almost everything 19 September, 1979
5 4 Albus Percival Wulfric Brian Dumbledore Male Headmaster Gryffindor 15" Elder Thestral tail hair core Phoenix Human Half-blood Silver| formerly auburn Blue Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Considered by many to be one of the most powerful wizards of his time Late August 1881 30 June, 1997 
6 5 Rubeus Hagrid Male Keeper of Keys and Grounds | Professor of Care of Magical Creatures Gryffindor 16" Oak unknown core Half-Human/Half-Giant Part-Human (Half-giant) Black Black Albus Dumbledore | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Resistant to stunning spells| above average strength | crossbowmanship 6 December 1928
7 6 Neville Longbottom Male Student Gryffindor 13" Cherry unicorn hair Non-corporeal Human Pure-blood Blond Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Herbology 30 July, 1980
8 7 Fred Weasley Male Student Gryffindor Unknown Unknown Human Pure-blood Red Brown Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Beater 1 April, 1978  2 May, 1998
9 8 George Weasley Male Student Gryffindor Unknown Unknown Human Pure-blood Red Brown Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Beater 1 April, 1978 
10 9 Ginevra (Ginny) Molly Weasley Female Student Gryffindor Unknown Horse Human Pure-blood Red Bright brown Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Chaser| Bat-Bogey hex 11 August, 1981
11 10 Dean Thomas Male Student Gryffindor Unknown Unknown Human Muggle-born Black Brown Dumbledore's Army | Hogwarts School of Witchcraft and Wizardry Chaser 1 September 1979- 31 August 1980
12 11 Seamus Finnigan Male Student Gryffindor Unknown Fox Human Half-blood Sandy Dumbledore's Army | Hogwarts School of Witchcraft and Wizardry Pyrotechnics 1 September 1979- 31 August 1981
13 12 Lily J. Potter Female Gryffindor 10¼" Willow unknown core Doe Human Muggle-born Auburn Bright green Order of the Phoenix 30 January, 1960  31 October, 1981
14 13 James Potter Male Gryffindor 11" Mahogany unknown core Stag Human Pure-blood Black Hazel Order of the Phoenix Animagus| Seeker 27 March, 1960 31 October, 1981
15 14 Sirius Black Male Gryffindor Unknown Unknown Human Pure-blood Black Grey Order of the Phoenix Animagus| nonverbal magic| Charms 3 November, 1959 18 June, 1996
16 15 Remus John Lupin Male Professor of Defence Against the Dark Arts  Gryffindor 10¼" Cypress unicorn hair Wolf Werewolf Half-blood Light brown flecked with grey Green Order of the Phoenix Exceptionally gifted in Defence Against the Dark Arts 10 March, 1960 2 May, 1998
17 16 Peter Pettigrew Male The Servant of Lord Voldemort Gryffindor 9¼" Chestnut dragon heartstring Human Half-blood or pure-blood Colourless and balding Blue Lord Voldemort| Death Eaters Animagus 1 September 1959- 31 August 1960 Late March 1998
18 17 Percy Ignatius Weasley Male Student|Prefect| Personal assistant to Barty Crouch Snr Gryffindor Unknown Unknown Human Pure-blood Red Blue Order of the Phoenix| Hogwarts School of Witchcraft and Wizardry |British Ministry of Magic Intelligent| hard-working| a model student 22 August, 1976 
19 18 (Bill) William Arthur Weasley Male Curse-Breaker for Gringotts Bank Gryffindor Unknown Unknown Human (Werewolf traits) Pure-blood Red Blue Order of the Phoenix Highly skilled curse-breaker for Gringotts Wizarding Bank| very intelligent| past Hogwarts Head Boy 29 November, 1970
20 19 Charles Weasley Male Dragonologist Gryffindor 12" Ash unicorn tail hair Unknown Human Pure-blood Red Grey Order of the Phoenix | Gringotts Wizarding Bank Highly skilled dragon trainer| one-time Gryffindor Seeker 12 December, 1972
21 20 Lee Jordan  Male Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Black Brown Dumbledore's Army | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Quidditch commentary | broadcasting 1 September 1977- 31 August 1978
22 21 Oliver Wood Male Student Gryffindor Unknown Unknown Human Pure-blood or Half-blood Hogwarts School of Witchcraft and Wizardry Keeper| Captain of the Gryffindor Quidditch team October 1975 - 31 August 1976
23 22 Angelina Johnson Female Student Gryffindor Unknown Unknown Human Unknown Brown Brown Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Chaser 24 – 30 October, 1977
24 23 Katie Bell Female Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Brown Brown Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Chaser 1 September 1978- 31 August 1979
25 24 Alicia Spinnet Female Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Brown Brown Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Chaser 1 September 1977- 31 August 1978
26 25 Lavender Brown Female Student Gryffindor Unknown Unknown Human Pure-blood Blond Blue Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Divination 1 September 1979- 31 August 1980 2 May, 1998
27 26 Parvati Patil Female Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Dark Dark Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Divination 1 September 1979- 21 April 1980
28 27 Romilda Vane Female Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Black Dark Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Spiking Chocolate Cauldrons with love potion 1 September 1981- 31 August 1982
29 28 Colin Creevey Male Student Gryffindor Unknown Unknown Human Muggle-born Mousy Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Photography 3 May - 31 August 1981 2 May, 1998
30 29 Cormac McLaggen Male Student Gryffindor Unknown Unknown Human Pure-blood or half-blood Blond Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Quidditch Keeper 1 September 1978- 31 August 1979
31 30 Minerva McGonagall Female Professor of Transfiguration | Head of Gryffindor Gryffindor 9½" Fir dragon heartstring Cat Human Half-blood Black Green Albus Dumbledore | Order of the Phoenix | Hogwarts School of Witchcraft and Wizardry Animagus  4 October
32 31 Molly Weasley Female Gryffindor Unknown Unknown Human Pure-blood Red Bright brown Order of the Phoenix Household spells| healing magic 30 October, 1949 
33 32 Arthur Weasley Male Head of the Misuse of Muggle Artefacts Office Gryffindor Unknown Weasel Human Pure-blood Red Green Order of the Phoenix| British Ministry of Magic Muggle world works 6 February, 1950
34 33 Quirinus Quirrell Male Defence Against the Dark Arts(1991-1992) Ravenclaw 9" Alder unicorn hair bendy Non-corporeal Human Half-blood Lord Voldemort Learned in the theory of Defensive Magic| less adept in the practise 26 September,1970 or earlier 4 June 1992
35 34 Cho Chang Female Student Ravenclaw Unknown Swan Human Pure-blood or half-blood Black Dark Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Seeker 1 September 1978-31 August 1979
36 35 Luna Lovegood Female Student Ravenclaw Unknown Hare Human Pure-blood or half-blood Dirty-blonde Pale silvery Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Spotting Nargles 13 February, 1981
37 36 Gilderoy Lockhart Male Defence Against the Dark Arts(1992-1993) Ravenclaw 9" Cherry dragon heartstring Non-corporeal Human Half-blood Blond Blue 26 January 1964
38 37 Filius Flitwick Male Professor of Charms | Head of Ravenclaw Ravenclaw Unknown Non-corporeal Human(goblin ancestry) Part-Goblin White Charms 17 October 1958 or earlier 
39 38 Sybill Patricia Trelawney Female Professor of Divination Ravenclaw 9 ½” hazel unicorn hair core Non-corporeal Human Half-blood A Seer, though the gift is unpredictable and unconscious 9 March prior to 1962
40 39 Garrick Ollivander Male Wandmaker Ravenclaw 12¾" Hornbeam dragon heartstring Non-corporeal Human Half-blood Silvery An incomparable understanding of wandcraft 25 September, pre 1908
41 40 Myrtle Elizabeth Warren (Moaning Myrtle) Female Student Ravenclaw Unknown Unknown Ghost Muggle-born 14 June 1928 -13 June 1929 13 June, 1943
42 41 Padma Patil Female Student Ravenclaw Unknown Non-corporeal Human Pure-blood or half-blood Dark Dark Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Prefect 1 September 1979 - 21 April 1980
43 42 Michael Corner Male Student Ravenclaw Unknown Squirrel Human Half-blood Black Brown Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Potions 1 September 1979 - 31 August 1980
44 43 Marietta Edgecombe Female Student Ravenclaw Unknown Unknown Human Pure-blood or half-blood Reddish-blonde Grey Covering up the spots that blight her face after betraying Dumbledore's Army 1978-1979
45 44 Terry Boot Male Student Ravenclaw Unknown Unknown Human Pure-blood or half-blood Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Potions, also knowledgable about Charms 1 September 1979- 21 April 1980
46 45 Anthony Goldstein Male Student Ravenclaw Unknown Non-corporeal Human Half-blood Blonde Grey Dumbledore's Army |Hogwarts School of Witchcraft and Wizardry Prefect 1 September 1979- 31 August 1980
47 46 Severus Snape Male Professor of Potions | Head of Slytherin Slytherin Unknown Doe Human Half-blood Black Black Extremely skilled at potions and Occlumency 9 January 1960 2 May, 1998
48 47 Draco Malfoy Male Student Slytherin 10" Hawthorn unicorn hair Unknown Human Pure-blood White-blond Grey Prefect, Seeker 5 June, 1980
49 48 Vincent Crabbe Male Student Slytherin Unknown Unknown Human Pure-blood Black Black Beater c. 1979-1980 2 May, 1998
50 49 Gregory Goyle Male Student Slytherin Unknown Unknown Human Pure-blood Brown Beater 1 September 1979-31 August 1980
51 50 Bellatrix Lestrange Female Slytherin 12¾" Walnut dragon heartstring Human Pure-blood Black Lord Voldemort  | Death Eaters She is a duellist of great skill and an experienced Occlumens 1951 2 May, 1998
52 51 Dolores Jane Umbridge Female Professor of Defence Against the Dark Arts | Department of Magical Law Enforcement Slytherin 8" Birch dragon heartstring Cat Human Half-blood Iron grey Ministry of Magic Her punishment quill is of her own invention 26 August
53 52 Horace Eugene Flaccus Slughorn Professor of Potions Slytherin 10¼" Cedar dragon heartstring fairly flexible Non-corporeal Human Pure-blood or half-blood Bald Gooseberry Accomplished Occlumens, expert Potioneer, advanced self-transfiguration 28 April
54 53 Lucius Malfoy Male School Governor Slytherin Elm and dragon heartstring Unknown Human Pure-blood White-blond Grey Lord Voldemort  | Death Eaters Skilled duellist and potioneer c. 1954
55 54 Narcissa Malfoy Female Slytherin Unknown Unknown Human Pure-blood Blonde Blue Lord Voldemort  | Death Eaters 1955
56 55 Regulus Arcturus Black Male Slytherin Unknown Non-corporeal Human Pure-blood Black Seeker 1961 1979
57 56 Pansy Parkinson Female Student Slytherin Unknown Unknown Human Pure-blood or half-blood Prefect 1 September 1979- 31 August 1980
58 57 Blaise Zabini Male Student Slytherin Unknown Unknown Human Pure-blood or half-blood Black Brown Chaser 1 September, 1979 – 21 April, 1980
59 58 Tom Marvolo Riddle Male Student Slytherin 13½" Yew phoenix feather core Unknown Human Half-blood Bald Scarlet  Dark Lord, Outstanding manipulation, Parseltongue, Heir of Slytherin, Dark magic, Inferi creation and control 31 December 1926 2 May, 1998
60 59 Theodore Nott Male Student Slytherin Unknown Unknown Human Pure-blood Brown 1 September, 1979 – 21 April, 1980
61 60 Rodolphus Lestrange Male Slytherin Unknown Unknown Human Pure-blood Dark Dark Lord Voldemort  | Death Eaters Pre 1964
62 61 Millicent Bulstrode Female Student Slytherin Unknown Unknown Human Half-blood Black 1 September 1979- 31 August 1980 
63 62 Graham Montague Male Student Slytherin Unknown Unknown Human Pure-blood or half-blood Brown Brown Quidditch captain, Chaser In or prior to c.1981
64 63 Bloody Baron Male Slytherin House Ghost Slytherin Unknown Unknown Ghost Pure-blood or half-blood Controlling Peeves Post 982 11th century
65 64 Marcus Flint Male Student Slytherin Unknown Unknown Human Pure-blood or half-blood Black Chaser, Captain 1 September 1975- 31 August 1976
66 65 Penelope Clearwater Female Student Ravenclaw Unknown Non-corporeal Human Muggle-born or half-blood[ Blonde Prefect 1 September 1975- 31 August 1976
67 66 Roger Davies Male Student Ravenclaw Unknown Unknown Human Dark Dark Quidditch Captain, Chaser 1 September 1977- 31 August 1978
68 67 Marcus Belby Male Student Ravenclaw Unknown Unknown Human Pure-blood or half-blood Brown Dark 1 September 1978 - 31 August 1979
69 68 Salazar Slytherin Male Founder of Slytherin Slytherin snakewood, Basilisk horn Unknown Human Pure-blood Grey Dark Accomplished Legilimens and one of the first recorded Parselmouths Pre 976 11th century
70 69 Godric Gryffindor Male Founder of Gryffindor Gryffindor Unknown Unknown Human Pure-blood or half-blood Red Green The most accomplished duellist of his time Pre 976 11th century
71 70 Rowena Ravenclaw Female Founder of Ravenclaw Ravenclaw Unknown Unknown Human Pure-blood or half-blood Black Dark Extremely skilled witch, known for her intelligence and wisdom Pre 976 11th century
72 71 Nicholas de Mimsy-Porpington Male Gryffindor House Ghost Gryffindor Unknown Unknown Ghost Grey 1401 -1475 31 October, 1492
73 72 Cuthbert Binns Male Professor of History of Magic  Unknown Unknown Ghost White (balding) Black Boring a class with facts that might be interesting if anyone else was giving the lesson Pre 1970s
74 73 Barty Crouch Jr. Male Professor of Defence Against the Dark Arts (as Alastor Moody)  Unknown Unknown Human Pure-blood or half-blood Straw blond Pale, freckled Lord Voldemort  | Death Eaters Skilled potioneer 1962 1995-1996
75 74 Charity Burbage Female Professor of Muggle Studies Unknown Non-corporeal Human Pure-blood or half-blood Blonde Teaching and studying the Muggle world Before 1976 Late July, 1997
76 75 Firenze Male Professor of Divination Centaur White-blond Astonishingly blue
77 76 Alecto Carrow Female Professor of Muggle Studies Slytherin Unknown Unknown Human Pure-blood or half-blood Lord Voldemort  | Death Eaters Spreading anti-Muggle propaganda Pre 1981
78 77 Amycus Carrow Male Professor of Dark Arts Slytherin Unknown Unknown Human Pure-blood or half-blood Lord Voldemort  | Death Eaters Cruciatus Curse Pre 1982
79 78 Helga Hufflepuff Female Founder of Hufflepuff Hufflepuff Unknown Unknown Human Pure-blood or half-blood Brown Blue Food-related Charms. Many traditional Hogwarts recipes originated with her Pre 976 11th century
80 79 Fat Friar Male Hufflepuff House Ghost Hufflepuff Unknown Unknown Ghost Brown Curing peasants of the pox 10th century Pre 1988
81 80 Helena Ravenclaw Female Ravenclaw House Ghost Ravenclaw Unknown Unknown Ghost Pure-blood or half-blood Black Grey Post 982 996-1000
82 81 Nymphadora Tonks Female Auror Hufflepuff Unknown Jack rabbit, Wolf Human Half-blood Variable Variable Ministry of Magic | Order of the Phoenix Talented Auror, Metamorphmagus 1 September 1972- 31 August 1973 2 May, 1998
83 82 Pomona Sprout Female Professor of Herbology | Head of Hufflepuff House Hufflepuff Unknown Non-corporeal Human Pure-blood or half-blood Grey Herbology 15 May
84 83 Newton Scamander Male Employee in the Beast Division of the Department for the Regulation and Control of Magical Creatures Hufflepuff Unknown Unknown Human Pure-blood or half-blood Red brown Blue Magizoology, Order of Merlin, Second Class 24 February 1897
85 84 Cedric Diggory Male Student Hufflepuff 12¼", Ash, unicorn hair Unknown Human Pure-blood Dark Grey Skilled Seeker 1 September - 30 October 1977 24 June, 1995
86 85 Justin Finch-Fletchley Male Student Hufflepuff Unknown Non-corporeal Human Muggle-born Red Dumbledore's Army 1 September 1979- 31 August 1980
87 86 Zacharias Smith Male Student Hufflepuff Unknown Unknown Human Pure-blood or half-blood Blonde Dumbledore's Army Chaser 1 September 1979 - 2 May 1981
88 87 Hannah Abbott Female Student Hufflepuff Unknown Non-corporeal Human Half-blood Blonde Brown Dumbledore's Army Defensive spells, learned with Dumbledore's Army 1 September 1979 - 31 August 1980
89 88 Ernest Macmillan Male Student Hufflepuff Unknown Boar Human Pure-blood Blond Dumbledore's Army Revising, being a Prefect, getting the wrong end of the stick 21 April 1980 - 31 August 1980
90 89 Susan Bones Female Student Hufflepuff Unknown Unknown Human Half-blood Dumbledore's Army Defensive spells, learned with Dumbledore's Army 1 September 1979 - 31 August 1980
91 90 Walden Macnair Male Executioner for the Committee for the Disposal of Dangerous Creatures Slytherin Unknown Unknown Human Pure-blood or half-blood Black Lord Voldemort  | Death Eaters Liaising with giants In or before 1970s
92 91 Augustus Rookwood Male Unspeakable Slytherin Unknown Human Pure-blood or half-blood Brown/greying Lord Voldemort  | Death Eaters Spying for Lord Voldemort pre 1964
93 92 Antonin Dolohov Male Death Eater Slytherin Unknown Human Pure-blood or Half-blood Dark Lord Voldemort  | Death Eaters Duelling. Fought and killed Molly Weasley's brothers and Remus Lupin pre 1950
94 93 Corban Yaxley Male Head of the Department of Magical Law Enforcement Slytherin Unknown Human Pure-blood or Half-blood Blonde Blue Lord Voldemort  | Death Eaters Imperius curse, undercover work Pre 1970s
95 94 Igor Karkaroff Male Headmaster of Durmstrang Institute Unknown Human Pure-blood or Half-blood Silver| formerly black Skilled in the Dark Arts pre 1965 24 June, 1995 – 31 July, 1996
96 95 Kingsley Shacklebolt Male Auror | Minister for Magic Unknown Lynx Human Pure-blood Bald Black Order of the Phoenix Exceptionally skilled duellist and Auror Pre 1973
97 96 Alastor Moody Male Auror Unknown Non-corporeal Human Pure-blood Grey One dark, one electric blue Order of the Phoenix A highly accomplished Auror and an outstanding duellist, also skilled in non-verbal magic Pre 1960 27 July, 1997
98 97 Alice Longbottom Female Auror Unknown Unknown Human Pure-blood Blonde Original Order of the Phoenix Auror
99 98 Frank Longbottom Male Auror Gryffindor Inherited by his son, Neville. It was broken in battle at the Department of Mysteries. Unknown Human Pure-blood Blonde Original Order of the Phoenix Auror 1 September 1957 - 31 August 1959 or earlier
100 99 Rufus Scrimgeour Male Head of Auror Office| Minister for Magic Unknown Non-corporeal Human Tawny Yellowish Minister of Magic Highly regarded as a skilled Auror Pre 1968 1 August, 1997
101 100 Cornelius Oswald Fudge Male Minister for Magic Unknown Non-corporeal Human Pure-blood or Half-blood Grey Minister of Magic Turning a blind eye to the continuing threat of Dark Magic in the name of keeping up morale Pre 1964
102 101 Barty Crouch Sr. Male Head of the Department of International Magical Cooperation Unknown Non-corporeal Human Pure-blood Grey Minister of Magic Multilingual, able to fight the Imperius curse Pre 1940 27 May, 1995
103 102 Amos Diggory Male Employee of the Department for the Regulation and Control of Magical Creatures[ Unknown Non-corporeal Human Pure-blood or half-blood Brown Ruddy Minister of Magic Works for the Department for the Regulation and Control of Magical Creatures
104 103 Dedalus Diggle Male Unknown Non-corporeal Human Pure-blood or half-blood Order of the Phoenix An enthusiastic volunteer for the Order and a helpful escort for Harry and his relatives Pre 1964
105 104 Elphias Doge Male Special Advisor to the Wizengamot Unknown Non-corporeal Human Pure-blood Silver Grey/Blue[ Order of the Phoenix Writing 1 September 1880 - 31 August 1881
106 105 Fleur Isabelle Delacour Female Part-time at Gringotts Wizarding Bank Beauxbatons Academy of Magic 9½", Rosewood, veela hair Non-corporeal Human Quarter-Veela Silvery-blonde Dark blue[ Order of the Phoenix part Veela, and therefore possesses some of their magical powers. She was also selected to compete in the Triwizard Tournament Pre 30 October, 1977
107 106 Aberforth Dumbledore Male Owner and Barman of the Hog's Head Inn Unknown Goat Human Half-blood Grey Bright Blue Order of the Phoenix Bartending, caring for Ariana 1 September 1883-31 August 1884
108 107 Mundungus Fletcher Male Dealer of wizarding artifacts Unknown Non-corporeal Human Half-blood[ Ginger Brown Order of the Phoenix Gathering information for the Order, dealing in stolen cauldrons, 'acquiring' the odd Muggle car Before 1962
109 108 Sturgis Podmore Male Advance Guard Unknown Unknown Human Pure-blood or half-blood Straw-coloured Brown Order of the Phoenix Carrying out guard duty for the Order 8 September 1956 - 7 September 1957
110 109 Hestia Jones Female Advance Guard Unknown Unknown Human Pure-blood or half-blood Black Order of the Phoenix Carrying out escort missions for the Order Pre 1978
111 110 Marlene McKinnon Female Unknown Unknown Human Red Brown Original Order of the Phoenix July, 1981
112 111 Fabian Prewett Male Unknown Unknown Human Pure-blood Red Grey Original Order of the Phoenix Duelling 1981
113 112 Gideon Prewett Male Unknown Unknown Human Pure-blood Red Dark Grey Original Order of the Phoenix Duelling 1981
114 113 Emmeline Vance Female Advance Guard Unknown Unknown Human Order of the Phoenix pre 1964 Early July, 1996
115 114 Edgar Bones Male Hufflepuff Unknown Unknown Human Pure-blood or half-blood Reddish-brown Grey Original Order of the Phoenix Said to be a great wizard 1981
116 115 Dorcas Meadowes Female Unknown Unknown Human Black Brown Original Order of the Phoenix 1981
117 116 Benjy Fenwick Male Unknown Unknown Human Black Black Original Order of the Phoenix 1981
118 117 Madame Olympe Maxime Female Headmistress of Beauxbatons Academy of Magic Beauxbatons Academy of Magic Unknown Unknown Half-Human/Half-Giant Part-Human (Half-giant) Brown Black An ‘excellent dancer’, in the words of Dumbledore himself
119 118 Gabrielle Delacour Female Beauxbatons Academy of Magic Unknown Unknown Human  Quarter-Veela Silvery-blonde part Veela and therefore may possess some of their magical powers 31 July 1985 - 30 July 1986
120 119 Viktor Krum Male Seeker for the Bulgarian National Quidditch team Durmstrang Institute 10¼", Hornbeam, dragon heartstring Unknown Human  Pure-blood or half-blood Dark Dark One of the best Seekers in the world April-August, 1976
121 120 Petunia Dursley Female Human  Muggle Blonde Pre 1960
122 121 Vernon Dursley Male Director at Grunnings Human  Muggle Black Schmoozing clients, pretending magic doesn't exist Pre 1954
123 122 Dudley Dursley Male Human  Muggle Blond Blue 23 June 1980
124 123 Marge Dursley Female Dog breeder Human  Muggle Grey Breeding bulldogs Pre 1954
125 124 Dennis Creevey Male Student Gryffindor Unknown Unknown Human  Muggle-born Mousy brown Dumbledore's Army 1 September 1982 - 31 August 1983
126 125 Albus Severus Potter Male Student Slytherin Unknown Unknown Human  Half-blood Jet-black Bright green Between 1 September 2005-31 August 2006
127 126 Scorpius Hyperion Malfoy Male Student Slytherin Unknown Unknown Human  Pure-blood White blond Grey Between 1 September 2005-31 August 2007
128 127 Edward Remus Lupin Male Student Hufflepuff Unknown Unknown Human (Metamorphmagus) Half-blood Variable Variable April, 1998
129 128 James Sirius Potter Male Student Gryffindor Unknown Unknown Human  Half-blood 1 September 2003-31 August 2004
130 129 Rose Granger-Weasley Female Student Gryffindor Unknown Unknown Human  Half-blood Red Chaser 1 September 2005-31 August 2006 
131 130 Argus Filch Male Caretaker of Hogwarts Human  Squib Grey Pale Hogwarts School of Witchcraft and Wizardry Sniffing out mischief Pre 1951
132 131 Poppy Pomfrey Female Matron at Hogwarts School Unknown Non-corporeal Human  Pure-blood or half-blood Hogwarts School of Witchcraft and Wizardry Skilled medical healer pre 1954
133 132 Rolanda Hooch Female Flying Instructor at Hogwarts Unknown Non-corporeal Human  Grey Yellow Hogwarts School of Witchcraft and Wizardry Teaching, flying, refereeing Quidditch matches pre 1918
134 133 Irma Pince Female Librarian at Hogwarts Unknown Non-corporeal Human  Hogwarts School of Witchcraft and Wizardry Pre 1966
135 134 Aurora Sinistra Female Astronomer at Hogwarts Unknown Unknown Human  Pure-blood or half-blood Dark Dark Hogwarts School of Witchcraft and Wizardry Pre 1968
136 135 Septima Vector Female Professor of Arithmancyat Hogwarts Unknown Unknown Human  Black Hogwarts School of Witchcraft and Wizardry Before 1974
137 136 Wilhelmina Grubbly-Plank Female Substitute professor of Care of Magical Creatures at Hogwarts Unknown Non-corporeal Human  Grey Hogwarts School of Witchcraft and Wizardry
138 137 Fenrir Greyback Male Unknown Werewolf Grey Lord Voldemort  | Death Eaters Physical combat Pre 1945
139 138 Gellert Grindelwald Male Revolutionary leader(c. 1920s[6] – 1945) 15", Elder, Thestral tail hair core Human  Pure-blood or half-blood Blond Blue Gellert Grindelwald's Acolytes Duelling 1883 March, 1998
140 139 Dobby Male Malfoy family's house-elf (? - 1993), Hogwarts kitchens worker (December 1994 - 1998) House elf Green A type of magic specific to house-elves, performed without a wand which includes the ability to apparate, disarm and make objects levitate 28 June Late March, 1998
141 140 Kreacher Male Black family's house-elf (?-1996), Harry Potter's house-elf, Hogwarts kitchen worker House elf White Magic performed without a wand which includes the ability to apparate, disarm and make objects levitate

151
实力学习PandasGUI/dataset_files/iris.csv Normal file
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sepal_length,sepal_width,petal_length,petal_width,species
5.1,3.5,1.4,0.2,setosa
4.9,3.0,1.4,0.2,setosa
4.7,3.2,1.3,0.2,setosa
4.6,3.1,1.5,0.2,setosa
5.0,3.6,1.4,0.2,setosa
5.4,3.9,1.7,0.4,setosa
4.6,3.4,1.4,0.3,setosa
5.0,3.4,1.5,0.2,setosa
4.4,2.9,1.4,0.2,setosa
4.9,3.1,1.5,0.1,setosa
5.4,3.7,1.5,0.2,setosa
4.8,3.4,1.6,0.2,setosa
4.8,3.0,1.4,0.1,setosa
4.3,3.0,1.1,0.1,setosa
5.8,4.0,1.2,0.2,setosa
5.7,4.4,1.5,0.4,setosa
5.4,3.9,1.3,0.4,setosa
5.1,3.5,1.4,0.3,setosa
5.7,3.8,1.7,0.3,setosa
5.1,3.8,1.5,0.3,setosa
5.4,3.4,1.7,0.2,setosa
5.1,3.7,1.5,0.4,setosa
4.6,3.6,1.0,0.2,setosa
5.1,3.3,1.7,0.5,setosa
4.8,3.4,1.9,0.2,setosa
5.0,3.0,1.6,0.2,setosa
5.0,3.4,1.6,0.4,setosa
5.2,3.5,1.5,0.2,setosa
5.2,3.4,1.4,0.2,setosa
4.7,3.2,1.6,0.2,setosa
4.8,3.1,1.6,0.2,setosa
5.4,3.4,1.5,0.4,setosa
5.2,4.1,1.5,0.1,setosa
5.5,4.2,1.4,0.2,setosa
4.9,3.1,1.5,0.2,setosa
5.0,3.2,1.2,0.2,setosa
5.5,3.5,1.3,0.2,setosa
4.9,3.6,1.4,0.1,setosa
4.4,3.0,1.3,0.2,setosa
5.1,3.4,1.5,0.2,setosa
5.0,3.5,1.3,0.3,setosa
4.5,2.3,1.3,0.3,setosa
4.4,3.2,1.3,0.2,setosa
5.0,3.5,1.6,0.6,setosa
5.1,3.8,1.9,0.4,setosa
4.8,3.0,1.4,0.3,setosa
5.1,3.8,1.6,0.2,setosa
4.6,3.2,1.4,0.2,setosa
5.3,3.7,1.5,0.2,setosa
5.0,3.3,1.4,0.2,setosa
7.0,3.2,4.7,1.4,versicolor
6.4,3.2,4.5,1.5,versicolor
6.9,3.1,4.9,1.5,versicolor
5.5,2.3,4.0,1.3,versicolor
6.5,2.8,4.6,1.5,versicolor
5.7,2.8,4.5,1.3,versicolor
6.3,3.3,4.7,1.6,versicolor
4.9,2.4,3.3,1.0,versicolor
6.6,2.9,4.6,1.3,versicolor
5.2,2.7,3.9,1.4,versicolor
5.0,2.0,3.5,1.0,versicolor
5.9,3.0,4.2,1.5,versicolor
6.0,2.2,4.0,1.0,versicolor
6.1,2.9,4.7,1.4,versicolor
5.6,2.9,3.6,1.3,versicolor
6.7,3.1,4.4,1.4,versicolor
5.6,3.0,4.5,1.5,versicolor
5.8,2.7,4.1,1.0,versicolor
6.2,2.2,4.5,1.5,versicolor
5.6,2.5,3.9,1.1,versicolor
5.9,3.2,4.8,1.8,versicolor
6.1,2.8,4.0,1.3,versicolor
6.3,2.5,4.9,1.5,versicolor
6.1,2.8,4.7,1.2,versicolor
6.4,2.9,4.3,1.3,versicolor
6.6,3.0,4.4,1.4,versicolor
6.8,2.8,4.8,1.4,versicolor
6.7,3.0,5.0,1.7,versicolor
6.0,2.9,4.5,1.5,versicolor
5.7,2.6,3.5,1.0,versicolor
5.5,2.4,3.8,1.1,versicolor
5.5,2.4,3.7,1.0,versicolor
5.8,2.7,3.9,1.2,versicolor
6.0,2.7,5.1,1.6,versicolor
5.4,3.0,4.5,1.5,versicolor
6.0,3.4,4.5,1.6,versicolor
6.7,3.1,4.7,1.5,versicolor
6.3,2.3,4.4,1.3,versicolor
5.6,3.0,4.1,1.3,versicolor
5.5,2.5,4.0,1.3,versicolor
5.5,2.6,4.4,1.2,versicolor
6.1,3.0,4.6,1.4,versicolor
5.8,2.6,4.0,1.2,versicolor
5.0,2.3,3.3,1.0,versicolor
5.6,2.7,4.2,1.3,versicolor
5.7,3.0,4.2,1.2,versicolor
5.7,2.9,4.2,1.3,versicolor
6.2,2.9,4.3,1.3,versicolor
5.1,2.5,3.0,1.1,versicolor
5.7,2.8,4.1,1.3,versicolor
6.3,3.3,6.0,2.5,virginica
5.8,2.7,5.1,1.9,virginica
7.1,3.0,5.9,2.1,virginica
6.3,2.9,5.6,1.8,virginica
6.5,3.0,5.8,2.2,virginica
7.6,3.0,6.6,2.1,virginica
4.9,2.5,4.5,1.7,virginica
7.3,2.9,6.3,1.8,virginica
6.7,2.5,5.8,1.8,virginica
7.2,3.6,6.1,2.5,virginica
6.5,3.2,5.1,2.0,virginica
6.4,2.7,5.3,1.9,virginica
6.8,3.0,5.5,2.1,virginica
5.7,2.5,5.0,2.0,virginica
5.8,2.8,5.1,2.4,virginica
6.4,3.2,5.3,2.3,virginica
6.5,3.0,5.5,1.8,virginica
7.7,3.8,6.7,2.2,virginica
7.7,2.6,6.9,2.3,virginica
6.0,2.2,5.0,1.5,virginica
6.9,3.2,5.7,2.3,virginica
5.6,2.8,4.9,2.0,virginica
7.7,2.8,6.7,2.0,virginica
6.3,2.7,4.9,1.8,virginica
6.7,3.3,5.7,2.1,virginica
7.2,3.2,6.0,1.8,virginica
6.2,2.8,4.8,1.8,virginica
6.1,3.0,4.9,1.8,virginica
6.4,2.8,5.6,2.1,virginica
7.2,3.0,5.8,1.6,virginica
7.4,2.8,6.1,1.9,virginica
7.9,3.8,6.4,2.0,virginica
6.4,2.8,5.6,2.2,virginica
6.3,2.8,5.1,1.5,virginica
6.1,2.6,5.6,1.4,virginica
7.7,3.0,6.1,2.3,virginica
6.3,3.4,5.6,2.4,virginica
6.4,3.1,5.5,1.8,virginica
6.0,3.0,4.8,1.8,virginica
6.9,3.1,5.4,2.1,virginica
6.7,3.1,5.6,2.4,virginica
6.9,3.1,5.1,2.3,virginica
5.8,2.7,5.1,1.9,virginica
6.8,3.2,5.9,2.3,virginica
6.7,3.3,5.7,2.5,virginica
6.7,3.0,5.2,2.3,virginica
6.3,2.5,5.0,1.9,virginica
6.5,3.0,5.2,2.0,virginica
6.2,3.4,5.4,2.3,virginica
5.9,3.0,5.1,1.8,virginica
1 sepal_length sepal_width petal_length petal_width species
2 5.1 3.5 1.4 0.2 setosa
3 4.9 3.0 1.4 0.2 setosa
4 4.7 3.2 1.3 0.2 setosa
5 4.6 3.1 1.5 0.2 setosa
6 5.0 3.6 1.4 0.2 setosa
7 5.4 3.9 1.7 0.4 setosa
8 4.6 3.4 1.4 0.3 setosa
9 5.0 3.4 1.5 0.2 setosa
10 4.4 2.9 1.4 0.2 setosa
11 4.9 3.1 1.5 0.1 setosa
12 5.4 3.7 1.5 0.2 setosa
13 4.8 3.4 1.6 0.2 setosa
14 4.8 3.0 1.4 0.1 setosa
15 4.3 3.0 1.1 0.1 setosa
16 5.8 4.0 1.2 0.2 setosa
17 5.7 4.4 1.5 0.4 setosa
18 5.4 3.9 1.3 0.4 setosa
19 5.1 3.5 1.4 0.3 setosa
20 5.7 3.8 1.7 0.3 setosa
21 5.1 3.8 1.5 0.3 setosa
22 5.4 3.4 1.7 0.2 setosa
23 5.1 3.7 1.5 0.4 setosa
24 4.6 3.6 1.0 0.2 setosa
25 5.1 3.3 1.7 0.5 setosa
26 4.8 3.4 1.9 0.2 setosa
27 5.0 3.0 1.6 0.2 setosa
28 5.0 3.4 1.6 0.4 setosa
29 5.2 3.5 1.5 0.2 setosa
30 5.2 3.4 1.4 0.2 setosa
31 4.7 3.2 1.6 0.2 setosa
32 4.8 3.1 1.6 0.2 setosa
33 5.4 3.4 1.5 0.4 setosa
34 5.2 4.1 1.5 0.1 setosa
35 5.5 4.2 1.4 0.2 setosa
36 4.9 3.1 1.5 0.2 setosa
37 5.0 3.2 1.2 0.2 setosa
38 5.5 3.5 1.3 0.2 setosa
39 4.9 3.6 1.4 0.1 setosa
40 4.4 3.0 1.3 0.2 setosa
41 5.1 3.4 1.5 0.2 setosa
42 5.0 3.5 1.3 0.3 setosa
43 4.5 2.3 1.3 0.3 setosa
44 4.4 3.2 1.3 0.2 setosa
45 5.0 3.5 1.6 0.6 setosa
46 5.1 3.8 1.9 0.4 setosa
47 4.8 3.0 1.4 0.3 setosa
48 5.1 3.8 1.6 0.2 setosa
49 4.6 3.2 1.4 0.2 setosa
50 5.3 3.7 1.5 0.2 setosa
51 5.0 3.3 1.4 0.2 setosa
52 7.0 3.2 4.7 1.4 versicolor
53 6.4 3.2 4.5 1.5 versicolor
54 6.9 3.1 4.9 1.5 versicolor
55 5.5 2.3 4.0 1.3 versicolor
56 6.5 2.8 4.6 1.5 versicolor
57 5.7 2.8 4.5 1.3 versicolor
58 6.3 3.3 4.7 1.6 versicolor
59 4.9 2.4 3.3 1.0 versicolor
60 6.6 2.9 4.6 1.3 versicolor
61 5.2 2.7 3.9 1.4 versicolor
62 5.0 2.0 3.5 1.0 versicolor
63 5.9 3.0 4.2 1.5 versicolor
64 6.0 2.2 4.0 1.0 versicolor
65 6.1 2.9 4.7 1.4 versicolor
66 5.6 2.9 3.6 1.3 versicolor
67 6.7 3.1 4.4 1.4 versicolor
68 5.6 3.0 4.5 1.5 versicolor
69 5.8 2.7 4.1 1.0 versicolor
70 6.2 2.2 4.5 1.5 versicolor
71 5.6 2.5 3.9 1.1 versicolor
72 5.9 3.2 4.8 1.8 versicolor
73 6.1 2.8 4.0 1.3 versicolor
74 6.3 2.5 4.9 1.5 versicolor
75 6.1 2.8 4.7 1.2 versicolor
76 6.4 2.9 4.3 1.3 versicolor
77 6.6 3.0 4.4 1.4 versicolor
78 6.8 2.8 4.8 1.4 versicolor
79 6.7 3.0 5.0 1.7 versicolor
80 6.0 2.9 4.5 1.5 versicolor
81 5.7 2.6 3.5 1.0 versicolor
82 5.5 2.4 3.8 1.1 versicolor
83 5.5 2.4 3.7 1.0 versicolor
84 5.8 2.7 3.9 1.2 versicolor
85 6.0 2.7 5.1 1.6 versicolor
86 5.4 3.0 4.5 1.5 versicolor
87 6.0 3.4 4.5 1.6 versicolor
88 6.7 3.1 4.7 1.5 versicolor
89 6.3 2.3 4.4 1.3 versicolor
90 5.6 3.0 4.1 1.3 versicolor
91 5.5 2.5 4.0 1.3 versicolor
92 5.5 2.6 4.4 1.2 versicolor
93 6.1 3.0 4.6 1.4 versicolor
94 5.8 2.6 4.0 1.2 versicolor
95 5.0 2.3 3.3 1.0 versicolor
96 5.6 2.7 4.2 1.3 versicolor
97 5.7 3.0 4.2 1.2 versicolor
98 5.7 2.9 4.2 1.3 versicolor
99 6.2 2.9 4.3 1.3 versicolor
100 5.1 2.5 3.0 1.1 versicolor
101 5.7 2.8 4.1 1.3 versicolor
102 6.3 3.3 6.0 2.5 virginica
103 5.8 2.7 5.1 1.9 virginica
104 7.1 3.0 5.9 2.1 virginica
105 6.3 2.9 5.6 1.8 virginica
106 6.5 3.0 5.8 2.2 virginica
107 7.6 3.0 6.6 2.1 virginica
108 4.9 2.5 4.5 1.7 virginica
109 7.3 2.9 6.3 1.8 virginica
110 6.7 2.5 5.8 1.8 virginica
111 7.2 3.6 6.1 2.5 virginica
112 6.5 3.2 5.1 2.0 virginica
113 6.4 2.7 5.3 1.9 virginica
114 6.8 3.0 5.5 2.1 virginica
115 5.7 2.5 5.0 2.0 virginica
116 5.8 2.8 5.1 2.4 virginica
117 6.4 3.2 5.3 2.3 virginica
118 6.5 3.0 5.5 1.8 virginica
119 7.7 3.8 6.7 2.2 virginica
120 7.7 2.6 6.9 2.3 virginica
121 6.0 2.2 5.0 1.5 virginica
122 6.9 3.2 5.7 2.3 virginica
123 5.6 2.8 4.9 2.0 virginica
124 7.7 2.8 6.7 2.0 virginica
125 6.3 2.7 4.9 1.8 virginica
126 6.7 3.3 5.7 2.1 virginica
127 7.2 3.2 6.0 1.8 virginica
128 6.2 2.8 4.8 1.8 virginica
129 6.1 3.0 4.9 1.8 virginica
130 6.4 2.8 5.6 2.1 virginica
131 7.2 3.0 5.8 1.6 virginica
132 7.4 2.8 6.1 1.9 virginica
133 7.9 3.8 6.4 2.0 virginica
134 6.4 2.8 5.6 2.2 virginica
135 6.3 2.8 5.1 1.5 virginica
136 6.1 2.6 5.6 1.4 virginica
137 7.7 3.0 6.1 2.3 virginica
138 6.3 3.4 5.6 2.4 virginica
139 6.4 3.1 5.5 1.8 virginica
140 6.0 3.0 4.8 1.8 virginica
141 6.9 3.1 5.4 2.1 virginica
142 6.7 3.1 5.6 2.4 virginica
143 6.9 3.1 5.1 2.3 virginica
144 5.8 2.7 5.1 1.9 virginica
145 6.8 3.2 5.9 2.3 virginica
146 6.7 3.3 5.7 2.5 virginica
147 6.7 3.0 5.2 2.3 virginica
148 6.3 2.5 5.0 1.9 virginica
149 6.5 3.0 5.2 2.0 virginica
150 6.2 3.4 5.4 2.3 virginica
151 5.9 3.0 5.1 1.8 virginica

14
实力学习PandasGUI/dataset_files/mi_manufacturing.csv Normal file
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,,,Performance,Performance,Performance,Performance,Performance,Performance,Performance,Performance,Performance
Test Program,,,0.0,0.0,0.0,1.0,1.0,1.0,4.0,4.0,4.0
Process,,,Layer 1,Layer 2,Layer 3,Layer 1,Layer 2,Layer 3,Layer 1,Layer 2,Layer 3
Experiment,Feedrate,Acceleration,,,,,,,,,
1,6.0,0.0,-0.7547784593863498,-0.9100641091916912,1.041645117338957,1.6005915537388264,-2.277854522132476,0.1292382296742605,-0.0446097618915848,-0.691409426425133,0.7578828798098355
1,6.0,50.0,1.6259523355648893,0.0469687283941146,0.3822042883328329,0.1270536600973112,-0.7403742326014492,1.6174409252634714,0.9073397918892732,0.3531385855336148,-0.7370396884158441
1,6.0,100.0,-1.4501383326447346,-1.0597388710333049,0.0960614950435435,-1.4866493171910011,-0.6444890474317582,-0.1364391720890976,0.2420825048014763,1.4290850273059197,0.450015689567583
2,6.0,0.0,-0.6626353639540133,1.1359995273885006,0.1132899717656699,0.7933363807270671,-0.0119997340617376,-1.7124595848735158,1.8251835332284767,0.2948658616577408,-0.3784653247786271
2,20.0,0.0,1.1671818682297406,-0.949890351576832,-0.625225859916751,0.6211559978799047,1.8707175623091623,1.134114974129257,0.6288644109404818,0.8547345559052898,0.1042405169676259
2,20.0,50.0,0.9042978829577888,0.5794426300818516,1.973098244688229,1.2367129061104845,1.6413502221153375,0.7773184387096037,2.1568549653697056,-0.1903305299129912,0.3201884662656355
2,20.0,100.0,2.680198447390094,-0.2656374696434421,0.5085487504770364,-0.957446015894973,-0.3541159529216683,-1.9812157013658624,0.9351886049594268,0.7142892727265259,-1.0161711372707756
2,50.0,0.0,-0.3563064421164746,0.8771612343492186,0.1325192795693144,-0.8853137685784102,0.5422126996225725,0.137597709310018,-0.7989924883041254,0.2569883562341399,-1.5483480253766544
2,50.0,50.0,-0.4382301556172996,-0.2156642041063354,-0.2671970041236181,-0.8633599160452318,1.7985893282301897,-0.5654434032611586,-1.36164919094241,1.6051466266380543,-0.8317565949255494
2,50.0,100.0,-1.161479733074953,-2.021304404271099,-0.5697596895215996,-1.4513928619241965,0.6559250193855473,-1.4806089510420388,-0.6194795972758205,0.1525324391438875,-0.3369010804783352
1 Performance Performance Performance Performance Performance Performance Performance Performance Performance
2 Test Program 0.0 0.0 0.0 1.0 1.0 1.0 4.0 4.0 4.0
3 Process Layer 1 Layer 2 Layer 3 Layer 1 Layer 2 Layer 3 Layer 1 Layer 2 Layer 3
4 Experiment Feedrate Acceleration
5 1 6.0 0.0 -0.7547784593863498 -0.9100641091916912 1.041645117338957 1.6005915537388264 -2.277854522132476 0.1292382296742605 -0.0446097618915848 -0.691409426425133 0.7578828798098355
6 1 6.0 50.0 1.6259523355648893 0.0469687283941146 0.3822042883328329 0.1270536600973112 -0.7403742326014492 1.6174409252634714 0.9073397918892732 0.3531385855336148 -0.7370396884158441
7 1 6.0 100.0 -1.4501383326447346 -1.0597388710333049 0.0960614950435435 -1.4866493171910011 -0.6444890474317582 -0.1364391720890976 0.2420825048014763 1.4290850273059197 0.450015689567583
8 2 6.0 0.0 -0.6626353639540133 1.1359995273885006 0.1132899717656699 0.7933363807270671 -0.0119997340617376 -1.7124595848735158 1.8251835332284767 0.2948658616577408 -0.3784653247786271
9 2 20.0 0.0 1.1671818682297406 -0.949890351576832 -0.625225859916751 0.6211559978799047 1.8707175623091623 1.134114974129257 0.6288644109404818 0.8547345559052898 0.1042405169676259
10 2 20.0 50.0 0.9042978829577888 0.5794426300818516 1.973098244688229 1.2367129061104845 1.6413502221153375 0.7773184387096037 2.1568549653697056 -0.1903305299129912 0.3201884662656355
11 2 20.0 100.0 2.680198447390094 -0.2656374696434421 0.5085487504770364 -0.957446015894973 -0.3541159529216683 -1.9812157013658624 0.9351886049594268 0.7142892727265259 -1.0161711372707756
12 2 50.0 0.0 -0.3563064421164746 0.8771612343492186 0.1325192795693144 -0.8853137685784102 0.5422126996225725 0.137597709310018 -0.7989924883041254 0.2569883562341399 -1.5483480253766544
13 2 50.0 50.0 -0.4382301556172996 -0.2156642041063354 -0.2671970041236181 -0.8633599160452318 1.7985893282301897 -0.5654434032611586 -1.36164919094241 1.6051466266380543 -0.8317565949255494
14 2 50.0 100.0 -1.161479733074953 -2.021304404271099 -0.5697596895215996 -1.4513928619241965 0.6559250193855473 -1.4806089510420388 -0.6194795972758205 0.1525324391438875 -0.3369010804783352

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实力学习PandasGUI/dataset_files/mpg.csv Normal file
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mpg,cylinders,displacement,horsepower,weight,acceleration,model_year,origin,name
18.0,8,307.0,130.0,3504,12.0,70,usa,chevrolet chevelle malibu
15.0,8,350.0,165.0,3693,11.5,70,usa,buick skylark 320
18.0,8,318.0,150.0,3436,11.0,70,usa,plymouth satellite
16.0,8,304.0,150.0,3433,12.0,70,usa,amc rebel sst
17.0,8,302.0,140.0,3449,10.5,70,usa,ford torino
15.0,8,429.0,198.0,4341,10.0,70,usa,ford galaxie 500
14.0,8,454.0,220.0,4354,9.0,70,usa,chevrolet impala
14.0,8,440.0,215.0,4312,8.5,70,usa,plymouth fury iii
14.0,8,455.0,225.0,4425,10.0,70,usa,pontiac catalina
15.0,8,390.0,190.0,3850,8.5,70,usa,amc ambassador dpl
15.0,8,383.0,170.0,3563,10.0,70,usa,dodge challenger se
14.0,8,340.0,160.0,3609,8.0,70,usa,plymouth 'cuda 340
15.0,8,400.0,150.0,3761,9.5,70,usa,chevrolet monte carlo
14.0,8,455.0,225.0,3086,10.0,70,usa,buick estate wagon (sw)
24.0,4,113.0,95.0,2372,15.0,70,japan,toyota corona mark ii
22.0,6,198.0,95.0,2833,15.5,70,usa,plymouth duster
18.0,6,199.0,97.0,2774,15.5,70,usa,amc hornet
21.0,6,200.0,85.0,2587,16.0,70,usa,ford maverick
27.0,4,97.0,88.0,2130,14.5,70,japan,datsun pl510
26.0,4,97.0,46.0,1835,20.5,70,europe,volkswagen 1131 deluxe sedan
25.0,4,110.0,87.0,2672,17.5,70,europe,peugeot 504
24.0,4,107.0,90.0,2430,14.5,70,europe,audi 100 ls
25.0,4,104.0,95.0,2375,17.5,70,europe,saab 99e
26.0,4,121.0,113.0,2234,12.5,70,europe,bmw 2002
21.0,6,199.0,90.0,2648,15.0,70,usa,amc gremlin
10.0,8,360.0,215.0,4615,14.0,70,usa,ford f250
10.0,8,307.0,200.0,4376,15.0,70,usa,chevy c20
11.0,8,318.0,210.0,4382,13.5,70,usa,dodge d200
9.0,8,304.0,193.0,4732,18.5,70,usa,hi 1200d
27.0,4,97.0,88.0,2130,14.5,71,japan,datsun pl510
28.0,4,140.0,90.0,2264,15.5,71,usa,chevrolet vega 2300
25.0,4,113.0,95.0,2228,14.0,71,japan,toyota corona
25.0,4,98.0,,2046,19.0,71,usa,ford pinto
19.0,6,232.0,100.0,2634,13.0,71,usa,amc gremlin
16.0,6,225.0,105.0,3439,15.5,71,usa,plymouth satellite custom
17.0,6,250.0,100.0,3329,15.5,71,usa,chevrolet chevelle malibu
19.0,6,250.0,88.0,3302,15.5,71,usa,ford torino 500
18.0,6,232.0,100.0,3288,15.5,71,usa,amc matador
14.0,8,350.0,165.0,4209,12.0,71,usa,chevrolet impala
14.0,8,400.0,175.0,4464,11.5,71,usa,pontiac catalina brougham
14.0,8,351.0,153.0,4154,13.5,71,usa,ford galaxie 500
14.0,8,318.0,150.0,4096,13.0,71,usa,plymouth fury iii
12.0,8,383.0,180.0,4955,11.5,71,usa,dodge monaco (sw)
13.0,8,400.0,170.0,4746,12.0,71,usa,ford country squire (sw)
13.0,8,400.0,175.0,5140,12.0,71,usa,pontiac safari (sw)
18.0,6,258.0,110.0,2962,13.5,71,usa,amc hornet sportabout (sw)
22.0,4,140.0,72.0,2408,19.0,71,usa,chevrolet vega (sw)
19.0,6,250.0,100.0,3282,15.0,71,usa,pontiac firebird
18.0,6,250.0,88.0,3139,14.5,71,usa,ford mustang
23.0,4,122.0,86.0,2220,14.0,71,usa,mercury capri 2000
28.0,4,116.0,90.0,2123,14.0,71,europe,opel 1900
30.0,4,79.0,70.0,2074,19.5,71,europe,peugeot 304
30.0,4,88.0,76.0,2065,14.5,71,europe,fiat 124b
31.0,4,71.0,65.0,1773,19.0,71,japan,toyota corolla 1200
35.0,4,72.0,69.0,1613,18.0,71,japan,datsun 1200
27.0,4,97.0,60.0,1834,19.0,71,europe,volkswagen model 111
26.0,4,91.0,70.0,1955,20.5,71,usa,plymouth cricket
24.0,4,113.0,95.0,2278,15.5,72,japan,toyota corona hardtop
25.0,4,97.5,80.0,2126,17.0,72,usa,dodge colt hardtop
23.0,4,97.0,54.0,2254,23.5,72,europe,volkswagen type 3
20.0,4,140.0,90.0,2408,19.5,72,usa,chevrolet vega
21.0,4,122.0,86.0,2226,16.5,72,usa,ford pinto runabout
13.0,8,350.0,165.0,4274,12.0,72,usa,chevrolet impala
14.0,8,400.0,175.0,4385,12.0,72,usa,pontiac catalina
15.0,8,318.0,150.0,4135,13.5,72,usa,plymouth fury iii
14.0,8,351.0,153.0,4129,13.0,72,usa,ford galaxie 500
17.0,8,304.0,150.0,3672,11.5,72,usa,amc ambassador sst
11.0,8,429.0,208.0,4633,11.0,72,usa,mercury marquis
13.0,8,350.0,155.0,4502,13.5,72,usa,buick lesabre custom
12.0,8,350.0,160.0,4456,13.5,72,usa,oldsmobile delta 88 royale
13.0,8,400.0,190.0,4422,12.5,72,usa,chrysler newport royal
19.0,3,70.0,97.0,2330,13.5,72,japan,mazda rx2 coupe
15.0,8,304.0,150.0,3892,12.5,72,usa,amc matador (sw)
13.0,8,307.0,130.0,4098,14.0,72,usa,chevrolet chevelle concours (sw)
13.0,8,302.0,140.0,4294,16.0,72,usa,ford gran torino (sw)
14.0,8,318.0,150.0,4077,14.0,72,usa,plymouth satellite custom (sw)
18.0,4,121.0,112.0,2933,14.5,72,europe,volvo 145e (sw)
22.0,4,121.0,76.0,2511,18.0,72,europe,volkswagen 411 (sw)
21.0,4,120.0,87.0,2979,19.5,72,europe,peugeot 504 (sw)
26.0,4,96.0,69.0,2189,18.0,72,europe,renault 12 (sw)
22.0,4,122.0,86.0,2395,16.0,72,usa,ford pinto (sw)
28.0,4,97.0,92.0,2288,17.0,72,japan,datsun 510 (sw)
23.0,4,120.0,97.0,2506,14.5,72,japan,toyouta corona mark ii (sw)
28.0,4,98.0,80.0,2164,15.0,72,usa,dodge colt (sw)
27.0,4,97.0,88.0,2100,16.5,72,japan,toyota corolla 1600 (sw)
13.0,8,350.0,175.0,4100,13.0,73,usa,buick century 350
14.0,8,304.0,150.0,3672,11.5,73,usa,amc matador
13.0,8,350.0,145.0,3988,13.0,73,usa,chevrolet malibu
14.0,8,302.0,137.0,4042,14.5,73,usa,ford gran torino
15.0,8,318.0,150.0,3777,12.5,73,usa,dodge coronet custom
12.0,8,429.0,198.0,4952,11.5,73,usa,mercury marquis brougham
13.0,8,400.0,150.0,4464,12.0,73,usa,chevrolet caprice classic
13.0,8,351.0,158.0,4363,13.0,73,usa,ford ltd
14.0,8,318.0,150.0,4237,14.5,73,usa,plymouth fury gran sedan
13.0,8,440.0,215.0,4735,11.0,73,usa,chrysler new yorker brougham
12.0,8,455.0,225.0,4951,11.0,73,usa,buick electra 225 custom
13.0,8,360.0,175.0,3821,11.0,73,usa,amc ambassador brougham
18.0,6,225.0,105.0,3121,16.5,73,usa,plymouth valiant
16.0,6,250.0,100.0,3278,18.0,73,usa,chevrolet nova custom
18.0,6,232.0,100.0,2945,16.0,73,usa,amc hornet
18.0,6,250.0,88.0,3021,16.5,73,usa,ford maverick
23.0,6,198.0,95.0,2904,16.0,73,usa,plymouth duster
26.0,4,97.0,46.0,1950,21.0,73,europe,volkswagen super beetle
11.0,8,400.0,150.0,4997,14.0,73,usa,chevrolet impala
12.0,8,400.0,167.0,4906,12.5,73,usa,ford country
13.0,8,360.0,170.0,4654,13.0,73,usa,plymouth custom suburb
12.0,8,350.0,180.0,4499,12.5,73,usa,oldsmobile vista cruiser
18.0,6,232.0,100.0,2789,15.0,73,usa,amc gremlin
20.0,4,97.0,88.0,2279,19.0,73,japan,toyota carina
21.0,4,140.0,72.0,2401,19.5,73,usa,chevrolet vega
22.0,4,108.0,94.0,2379,16.5,73,japan,datsun 610
18.0,3,70.0,90.0,2124,13.5,73,japan,maxda rx3
19.0,4,122.0,85.0,2310,18.5,73,usa,ford pinto
21.0,6,155.0,107.0,2472,14.0,73,usa,mercury capri v6
26.0,4,98.0,90.0,2265,15.5,73,europe,fiat 124 sport coupe
15.0,8,350.0,145.0,4082,13.0,73,usa,chevrolet monte carlo s
16.0,8,400.0,230.0,4278,9.5,73,usa,pontiac grand prix
29.0,4,68.0,49.0,1867,19.5,73,europe,fiat 128
24.0,4,116.0,75.0,2158,15.5,73,europe,opel manta
20.0,4,114.0,91.0,2582,14.0,73,europe,audi 100ls
19.0,4,121.0,112.0,2868,15.5,73,europe,volvo 144ea
15.0,8,318.0,150.0,3399,11.0,73,usa,dodge dart custom
24.0,4,121.0,110.0,2660,14.0,73,europe,saab 99le
20.0,6,156.0,122.0,2807,13.5,73,japan,toyota mark ii
11.0,8,350.0,180.0,3664,11.0,73,usa,oldsmobile omega
20.0,6,198.0,95.0,3102,16.5,74,usa,plymouth duster
21.0,6,200.0,,2875,17.0,74,usa,ford maverick
19.0,6,232.0,100.0,2901,16.0,74,usa,amc hornet
15.0,6,250.0,100.0,3336,17.0,74,usa,chevrolet nova
31.0,4,79.0,67.0,1950,19.0,74,japan,datsun b210
26.0,4,122.0,80.0,2451,16.5,74,usa,ford pinto
32.0,4,71.0,65.0,1836,21.0,74,japan,toyota corolla 1200
25.0,4,140.0,75.0,2542,17.0,74,usa,chevrolet vega
16.0,6,250.0,100.0,3781,17.0,74,usa,chevrolet chevelle malibu classic
16.0,6,258.0,110.0,3632,18.0,74,usa,amc matador
18.0,6,225.0,105.0,3613,16.5,74,usa,plymouth satellite sebring
16.0,8,302.0,140.0,4141,14.0,74,usa,ford gran torino
13.0,8,350.0,150.0,4699,14.5,74,usa,buick century luxus (sw)
14.0,8,318.0,150.0,4457,13.5,74,usa,dodge coronet custom (sw)
14.0,8,302.0,140.0,4638,16.0,74,usa,ford gran torino (sw)
14.0,8,304.0,150.0,4257,15.5,74,usa,amc matador (sw)
29.0,4,98.0,83.0,2219,16.5,74,europe,audi fox
26.0,4,79.0,67.0,1963,15.5,74,europe,volkswagen dasher
26.0,4,97.0,78.0,2300,14.5,74,europe,opel manta
31.0,4,76.0,52.0,1649,16.5,74,japan,toyota corona
32.0,4,83.0,61.0,2003,19.0,74,japan,datsun 710
28.0,4,90.0,75.0,2125,14.5,74,usa,dodge colt
24.0,4,90.0,75.0,2108,15.5,74,europe,fiat 128
26.0,4,116.0,75.0,2246,14.0,74,europe,fiat 124 tc
24.0,4,120.0,97.0,2489,15.0,74,japan,honda civic
26.0,4,108.0,93.0,2391,15.5,74,japan,subaru
31.0,4,79.0,67.0,2000,16.0,74,europe,fiat x1.9
19.0,6,225.0,95.0,3264,16.0,75,usa,plymouth valiant custom
18.0,6,250.0,105.0,3459,16.0,75,usa,chevrolet nova
15.0,6,250.0,72.0,3432,21.0,75,usa,mercury monarch
15.0,6,250.0,72.0,3158,19.5,75,usa,ford maverick
16.0,8,400.0,170.0,4668,11.5,75,usa,pontiac catalina
15.0,8,350.0,145.0,4440,14.0,75,usa,chevrolet bel air
16.0,8,318.0,150.0,4498,14.5,75,usa,plymouth grand fury
14.0,8,351.0,148.0,4657,13.5,75,usa,ford ltd
17.0,6,231.0,110.0,3907,21.0,75,usa,buick century
16.0,6,250.0,105.0,3897,18.5,75,usa,chevroelt chevelle malibu
15.0,6,258.0,110.0,3730,19.0,75,usa,amc matador
18.0,6,225.0,95.0,3785,19.0,75,usa,plymouth fury
21.0,6,231.0,110.0,3039,15.0,75,usa,buick skyhawk
20.0,8,262.0,110.0,3221,13.5,75,usa,chevrolet monza 2+2
13.0,8,302.0,129.0,3169,12.0,75,usa,ford mustang ii
29.0,4,97.0,75.0,2171,16.0,75,japan,toyota corolla
23.0,4,140.0,83.0,2639,17.0,75,usa,ford pinto
20.0,6,232.0,100.0,2914,16.0,75,usa,amc gremlin
23.0,4,140.0,78.0,2592,18.5,75,usa,pontiac astro
24.0,4,134.0,96.0,2702,13.5,75,japan,toyota corona
25.0,4,90.0,71.0,2223,16.5,75,europe,volkswagen dasher
24.0,4,119.0,97.0,2545,17.0,75,japan,datsun 710
18.0,6,171.0,97.0,2984,14.5,75,usa,ford pinto
29.0,4,90.0,70.0,1937,14.0,75,europe,volkswagen rabbit
19.0,6,232.0,90.0,3211,17.0,75,usa,amc pacer
23.0,4,115.0,95.0,2694,15.0,75,europe,audi 100ls
23.0,4,120.0,88.0,2957,17.0,75,europe,peugeot 504
22.0,4,121.0,98.0,2945,14.5,75,europe,volvo 244dl
25.0,4,121.0,115.0,2671,13.5,75,europe,saab 99le
33.0,4,91.0,53.0,1795,17.5,75,japan,honda civic cvcc
28.0,4,107.0,86.0,2464,15.5,76,europe,fiat 131
25.0,4,116.0,81.0,2220,16.9,76,europe,opel 1900
25.0,4,140.0,92.0,2572,14.9,76,usa,capri ii
26.0,4,98.0,79.0,2255,17.7,76,usa,dodge colt
27.0,4,101.0,83.0,2202,15.3,76,europe,renault 12tl
17.5,8,305.0,140.0,4215,13.0,76,usa,chevrolet chevelle malibu classic
16.0,8,318.0,150.0,4190,13.0,76,usa,dodge coronet brougham
15.5,8,304.0,120.0,3962,13.9,76,usa,amc matador
14.5,8,351.0,152.0,4215,12.8,76,usa,ford gran torino
22.0,6,225.0,100.0,3233,15.4,76,usa,plymouth valiant
22.0,6,250.0,105.0,3353,14.5,76,usa,chevrolet nova
24.0,6,200.0,81.0,3012,17.6,76,usa,ford maverick
22.5,6,232.0,90.0,3085,17.6,76,usa,amc hornet
29.0,4,85.0,52.0,2035,22.2,76,usa,chevrolet chevette
24.5,4,98.0,60.0,2164,22.1,76,usa,chevrolet woody
29.0,4,90.0,70.0,1937,14.2,76,europe,vw rabbit
33.0,4,91.0,53.0,1795,17.4,76,japan,honda civic
20.0,6,225.0,100.0,3651,17.7,76,usa,dodge aspen se
18.0,6,250.0,78.0,3574,21.0,76,usa,ford granada ghia
18.5,6,250.0,110.0,3645,16.2,76,usa,pontiac ventura sj
17.5,6,258.0,95.0,3193,17.8,76,usa,amc pacer d/l
29.5,4,97.0,71.0,1825,12.2,76,europe,volkswagen rabbit
32.0,4,85.0,70.0,1990,17.0,76,japan,datsun b-210
28.0,4,97.0,75.0,2155,16.4,76,japan,toyota corolla
26.5,4,140.0,72.0,2565,13.6,76,usa,ford pinto
20.0,4,130.0,102.0,3150,15.7,76,europe,volvo 245
13.0,8,318.0,150.0,3940,13.2,76,usa,plymouth volare premier v8
19.0,4,120.0,88.0,3270,21.9,76,europe,peugeot 504
19.0,6,156.0,108.0,2930,15.5,76,japan,toyota mark ii
16.5,6,168.0,120.0,3820,16.7,76,europe,mercedes-benz 280s
16.5,8,350.0,180.0,4380,12.1,76,usa,cadillac seville
13.0,8,350.0,145.0,4055,12.0,76,usa,chevy c10
13.0,8,302.0,130.0,3870,15.0,76,usa,ford f108
13.0,8,318.0,150.0,3755,14.0,76,usa,dodge d100
31.5,4,98.0,68.0,2045,18.5,77,japan,honda accord cvcc
30.0,4,111.0,80.0,2155,14.8,77,usa,buick opel isuzu deluxe
36.0,4,79.0,58.0,1825,18.6,77,europe,renault 5 gtl
25.5,4,122.0,96.0,2300,15.5,77,usa,plymouth arrow gs
33.5,4,85.0,70.0,1945,16.8,77,japan,datsun f-10 hatchback
17.5,8,305.0,145.0,3880,12.5,77,usa,chevrolet caprice classic
17.0,8,260.0,110.0,4060,19.0,77,usa,oldsmobile cutlass supreme
15.5,8,318.0,145.0,4140,13.7,77,usa,dodge monaco brougham
15.0,8,302.0,130.0,4295,14.9,77,usa,mercury cougar brougham
17.5,6,250.0,110.0,3520,16.4,77,usa,chevrolet concours
20.5,6,231.0,105.0,3425,16.9,77,usa,buick skylark
19.0,6,225.0,100.0,3630,17.7,77,usa,plymouth volare custom
18.5,6,250.0,98.0,3525,19.0,77,usa,ford granada
16.0,8,400.0,180.0,4220,11.1,77,usa,pontiac grand prix lj
15.5,8,350.0,170.0,4165,11.4,77,usa,chevrolet monte carlo landau
15.5,8,400.0,190.0,4325,12.2,77,usa,chrysler cordoba
16.0,8,351.0,149.0,4335,14.5,77,usa,ford thunderbird
29.0,4,97.0,78.0,1940,14.5,77,europe,volkswagen rabbit custom
24.5,4,151.0,88.0,2740,16.0,77,usa,pontiac sunbird coupe
26.0,4,97.0,75.0,2265,18.2,77,japan,toyota corolla liftback
25.5,4,140.0,89.0,2755,15.8,77,usa,ford mustang ii 2+2
30.5,4,98.0,63.0,2051,17.0,77,usa,chevrolet chevette
33.5,4,98.0,83.0,2075,15.9,77,usa,dodge colt m/m
30.0,4,97.0,67.0,1985,16.4,77,japan,subaru dl
30.5,4,97.0,78.0,2190,14.1,77,europe,volkswagen dasher
22.0,6,146.0,97.0,2815,14.5,77,japan,datsun 810
21.5,4,121.0,110.0,2600,12.8,77,europe,bmw 320i
21.5,3,80.0,110.0,2720,13.5,77,japan,mazda rx-4
43.1,4,90.0,48.0,1985,21.5,78,europe,volkswagen rabbit custom diesel
36.1,4,98.0,66.0,1800,14.4,78,usa,ford fiesta
32.8,4,78.0,52.0,1985,19.4,78,japan,mazda glc deluxe
39.4,4,85.0,70.0,2070,18.6,78,japan,datsun b210 gx
36.1,4,91.0,60.0,1800,16.4,78,japan,honda civic cvcc
19.9,8,260.0,110.0,3365,15.5,78,usa,oldsmobile cutlass salon brougham
19.4,8,318.0,140.0,3735,13.2,78,usa,dodge diplomat
20.2,8,302.0,139.0,3570,12.8,78,usa,mercury monarch ghia
19.2,6,231.0,105.0,3535,19.2,78,usa,pontiac phoenix lj
20.5,6,200.0,95.0,3155,18.2,78,usa,chevrolet malibu
20.2,6,200.0,85.0,2965,15.8,78,usa,ford fairmont (auto)
25.1,4,140.0,88.0,2720,15.4,78,usa,ford fairmont (man)
20.5,6,225.0,100.0,3430,17.2,78,usa,plymouth volare
19.4,6,232.0,90.0,3210,17.2,78,usa,amc concord
20.6,6,231.0,105.0,3380,15.8,78,usa,buick century special
20.8,6,200.0,85.0,3070,16.7,78,usa,mercury zephyr
18.6,6,225.0,110.0,3620,18.7,78,usa,dodge aspen
18.1,6,258.0,120.0,3410,15.1,78,usa,amc concord d/l
19.2,8,305.0,145.0,3425,13.2,78,usa,chevrolet monte carlo landau
17.7,6,231.0,165.0,3445,13.4,78,usa,buick regal sport coupe (turbo)
18.1,8,302.0,139.0,3205,11.2,78,usa,ford futura
17.5,8,318.0,140.0,4080,13.7,78,usa,dodge magnum xe
30.0,4,98.0,68.0,2155,16.5,78,usa,chevrolet chevette
27.5,4,134.0,95.0,2560,14.2,78,japan,toyota corona
27.2,4,119.0,97.0,2300,14.7,78,japan,datsun 510
30.9,4,105.0,75.0,2230,14.5,78,usa,dodge omni
21.1,4,134.0,95.0,2515,14.8,78,japan,toyota celica gt liftback
23.2,4,156.0,105.0,2745,16.7,78,usa,plymouth sapporo
23.8,4,151.0,85.0,2855,17.6,78,usa,oldsmobile starfire sx
23.9,4,119.0,97.0,2405,14.9,78,japan,datsun 200-sx
20.3,5,131.0,103.0,2830,15.9,78,europe,audi 5000
17.0,6,163.0,125.0,3140,13.6,78,europe,volvo 264gl
21.6,4,121.0,115.0,2795,15.7,78,europe,saab 99gle
16.2,6,163.0,133.0,3410,15.8,78,europe,peugeot 604sl
31.5,4,89.0,71.0,1990,14.9,78,europe,volkswagen scirocco
29.5,4,98.0,68.0,2135,16.6,78,japan,honda accord lx
21.5,6,231.0,115.0,3245,15.4,79,usa,pontiac lemans v6
19.8,6,200.0,85.0,2990,18.2,79,usa,mercury zephyr 6
22.3,4,140.0,88.0,2890,17.3,79,usa,ford fairmont 4
20.2,6,232.0,90.0,3265,18.2,79,usa,amc concord dl 6
20.6,6,225.0,110.0,3360,16.6,79,usa,dodge aspen 6
17.0,8,305.0,130.0,3840,15.4,79,usa,chevrolet caprice classic
17.6,8,302.0,129.0,3725,13.4,79,usa,ford ltd landau
16.5,8,351.0,138.0,3955,13.2,79,usa,mercury grand marquis
18.2,8,318.0,135.0,3830,15.2,79,usa,dodge st. regis
16.9,8,350.0,155.0,4360,14.9,79,usa,buick estate wagon (sw)
15.5,8,351.0,142.0,4054,14.3,79,usa,ford country squire (sw)
19.2,8,267.0,125.0,3605,15.0,79,usa,chevrolet malibu classic (sw)
18.5,8,360.0,150.0,3940,13.0,79,usa,chrysler lebaron town @ country (sw)
31.9,4,89.0,71.0,1925,14.0,79,europe,vw rabbit custom
34.1,4,86.0,65.0,1975,15.2,79,japan,maxda glc deluxe
35.7,4,98.0,80.0,1915,14.4,79,usa,dodge colt hatchback custom
27.4,4,121.0,80.0,2670,15.0,79,usa,amc spirit dl
25.4,5,183.0,77.0,3530,20.1,79,europe,mercedes benz 300d
23.0,8,350.0,125.0,3900,17.4,79,usa,cadillac eldorado
27.2,4,141.0,71.0,3190,24.8,79,europe,peugeot 504
23.9,8,260.0,90.0,3420,22.2,79,usa,oldsmobile cutlass salon brougham
34.2,4,105.0,70.0,2200,13.2,79,usa,plymouth horizon
34.5,4,105.0,70.0,2150,14.9,79,usa,plymouth horizon tc3
31.8,4,85.0,65.0,2020,19.2,79,japan,datsun 210
37.3,4,91.0,69.0,2130,14.7,79,europe,fiat strada custom
28.4,4,151.0,90.0,2670,16.0,79,usa,buick skylark limited
28.8,6,173.0,115.0,2595,11.3,79,usa,chevrolet citation
26.8,6,173.0,115.0,2700,12.9,79,usa,oldsmobile omega brougham
33.5,4,151.0,90.0,2556,13.2,79,usa,pontiac phoenix
41.5,4,98.0,76.0,2144,14.7,80,europe,vw rabbit
38.1,4,89.0,60.0,1968,18.8,80,japan,toyota corolla tercel
32.1,4,98.0,70.0,2120,15.5,80,usa,chevrolet chevette
37.2,4,86.0,65.0,2019,16.4,80,japan,datsun 310
28.0,4,151.0,90.0,2678,16.5,80,usa,chevrolet citation
26.4,4,140.0,88.0,2870,18.1,80,usa,ford fairmont
24.3,4,151.0,90.0,3003,20.1,80,usa,amc concord
19.1,6,225.0,90.0,3381,18.7,80,usa,dodge aspen
34.3,4,97.0,78.0,2188,15.8,80,europe,audi 4000
29.8,4,134.0,90.0,2711,15.5,80,japan,toyota corona liftback
31.3,4,120.0,75.0,2542,17.5,80,japan,mazda 626
37.0,4,119.0,92.0,2434,15.0,80,japan,datsun 510 hatchback
32.2,4,108.0,75.0,2265,15.2,80,japan,toyota corolla
46.6,4,86.0,65.0,2110,17.9,80,japan,mazda glc
27.9,4,156.0,105.0,2800,14.4,80,usa,dodge colt
40.8,4,85.0,65.0,2110,19.2,80,japan,datsun 210
44.3,4,90.0,48.0,2085,21.7,80,europe,vw rabbit c (diesel)
43.4,4,90.0,48.0,2335,23.7,80,europe,vw dasher (diesel)
36.4,5,121.0,67.0,2950,19.9,80,europe,audi 5000s (diesel)
30.0,4,146.0,67.0,3250,21.8,80,europe,mercedes-benz 240d
44.6,4,91.0,67.0,1850,13.8,80,japan,honda civic 1500 gl
40.9,4,85.0,,1835,17.3,80,europe,renault lecar deluxe
33.8,4,97.0,67.0,2145,18.0,80,japan,subaru dl
29.8,4,89.0,62.0,1845,15.3,80,europe,vokswagen rabbit
32.7,6,168.0,132.0,2910,11.4,80,japan,datsun 280-zx
23.7,3,70.0,100.0,2420,12.5,80,japan,mazda rx-7 gs
35.0,4,122.0,88.0,2500,15.1,80,europe,triumph tr7 coupe
23.6,4,140.0,,2905,14.3,80,usa,ford mustang cobra
32.4,4,107.0,72.0,2290,17.0,80,japan,honda accord
27.2,4,135.0,84.0,2490,15.7,81,usa,plymouth reliant
26.6,4,151.0,84.0,2635,16.4,81,usa,buick skylark
25.8,4,156.0,92.0,2620,14.4,81,usa,dodge aries wagon (sw)
23.5,6,173.0,110.0,2725,12.6,81,usa,chevrolet citation
30.0,4,135.0,84.0,2385,12.9,81,usa,plymouth reliant
39.1,4,79.0,58.0,1755,16.9,81,japan,toyota starlet
39.0,4,86.0,64.0,1875,16.4,81,usa,plymouth champ
35.1,4,81.0,60.0,1760,16.1,81,japan,honda civic 1300
32.3,4,97.0,67.0,2065,17.8,81,japan,subaru
37.0,4,85.0,65.0,1975,19.4,81,japan,datsun 210 mpg
37.7,4,89.0,62.0,2050,17.3,81,japan,toyota tercel
34.1,4,91.0,68.0,1985,16.0,81,japan,mazda glc 4
34.7,4,105.0,63.0,2215,14.9,81,usa,plymouth horizon 4
34.4,4,98.0,65.0,2045,16.2,81,usa,ford escort 4w
29.9,4,98.0,65.0,2380,20.7,81,usa,ford escort 2h
33.0,4,105.0,74.0,2190,14.2,81,europe,volkswagen jetta
34.5,4,100.0,,2320,15.8,81,europe,renault 18i
33.7,4,107.0,75.0,2210,14.4,81,japan,honda prelude
32.4,4,108.0,75.0,2350,16.8,81,japan,toyota corolla
32.9,4,119.0,100.0,2615,14.8,81,japan,datsun 200sx
31.6,4,120.0,74.0,2635,18.3,81,japan,mazda 626
28.1,4,141.0,80.0,3230,20.4,81,europe,peugeot 505s turbo diesel
30.7,6,145.0,76.0,3160,19.6,81,europe,volvo diesel
25.4,6,168.0,116.0,2900,12.6,81,japan,toyota cressida
24.2,6,146.0,120.0,2930,13.8,81,japan,datsun 810 maxima
22.4,6,231.0,110.0,3415,15.8,81,usa,buick century
26.6,8,350.0,105.0,3725,19.0,81,usa,oldsmobile cutlass ls
20.2,6,200.0,88.0,3060,17.1,81,usa,ford granada gl
17.6,6,225.0,85.0,3465,16.6,81,usa,chrysler lebaron salon
28.0,4,112.0,88.0,2605,19.6,82,usa,chevrolet cavalier
27.0,4,112.0,88.0,2640,18.6,82,usa,chevrolet cavalier wagon
34.0,4,112.0,88.0,2395,18.0,82,usa,chevrolet cavalier 2-door
31.0,4,112.0,85.0,2575,16.2,82,usa,pontiac j2000 se hatchback
29.0,4,135.0,84.0,2525,16.0,82,usa,dodge aries se
27.0,4,151.0,90.0,2735,18.0,82,usa,pontiac phoenix
24.0,4,140.0,92.0,2865,16.4,82,usa,ford fairmont futura
23.0,4,151.0,,3035,20.5,82,usa,amc concord dl
36.0,4,105.0,74.0,1980,15.3,82,europe,volkswagen rabbit l
37.0,4,91.0,68.0,2025,18.2,82,japan,mazda glc custom l
31.0,4,91.0,68.0,1970,17.6,82,japan,mazda glc custom
38.0,4,105.0,63.0,2125,14.7,82,usa,plymouth horizon miser
36.0,4,98.0,70.0,2125,17.3,82,usa,mercury lynx l
36.0,4,120.0,88.0,2160,14.5,82,japan,nissan stanza xe
36.0,4,107.0,75.0,2205,14.5,82,japan,honda accord
34.0,4,108.0,70.0,2245,16.9,82,japan,toyota corolla
38.0,4,91.0,67.0,1965,15.0,82,japan,honda civic
32.0,4,91.0,67.0,1965,15.7,82,japan,honda civic (auto)
38.0,4,91.0,67.0,1995,16.2,82,japan,datsun 310 gx
25.0,6,181.0,110.0,2945,16.4,82,usa,buick century limited
38.0,6,262.0,85.0,3015,17.0,82,usa,oldsmobile cutlass ciera (diesel)
26.0,4,156.0,92.0,2585,14.5,82,usa,chrysler lebaron medallion
22.0,6,232.0,112.0,2835,14.7,82,usa,ford granada l
32.0,4,144.0,96.0,2665,13.9,82,japan,toyota celica gt
36.0,4,135.0,84.0,2370,13.0,82,usa,dodge charger 2.2
27.0,4,151.0,90.0,2950,17.3,82,usa,chevrolet camaro
27.0,4,140.0,86.0,2790,15.6,82,usa,ford mustang gl
44.0,4,97.0,52.0,2130,24.6,82,europe,vw pickup
32.0,4,135.0,84.0,2295,11.6,82,usa,dodge rampage
28.0,4,120.0,79.0,2625,18.6,82,usa,ford ranger
31.0,4,119.0,82.0,2720,19.4,82,usa,chevy s-10
1 mpg cylinders displacement horsepower weight acceleration model_year origin name
2 18.0 8 307.0 130.0 3504 12.0 70 usa chevrolet chevelle malibu
3 15.0 8 350.0 165.0 3693 11.5 70 usa buick skylark 320
4 18.0 8 318.0 150.0 3436 11.0 70 usa plymouth satellite
5 16.0 8 304.0 150.0 3433 12.0 70 usa amc rebel sst
6 17.0 8 302.0 140.0 3449 10.5 70 usa ford torino
7 15.0 8 429.0 198.0 4341 10.0 70 usa ford galaxie 500
8 14.0 8 454.0 220.0 4354 9.0 70 usa chevrolet impala
9 14.0 8 440.0 215.0 4312 8.5 70 usa plymouth fury iii
10 14.0 8 455.0 225.0 4425 10.0 70 usa pontiac catalina
11 15.0 8 390.0 190.0 3850 8.5 70 usa amc ambassador dpl
12 15.0 8 383.0 170.0 3563 10.0 70 usa dodge challenger se
13 14.0 8 340.0 160.0 3609 8.0 70 usa plymouth 'cuda 340
14 15.0 8 400.0 150.0 3761 9.5 70 usa chevrolet monte carlo
15 14.0 8 455.0 225.0 3086 10.0 70 usa buick estate wagon (sw)
16 24.0 4 113.0 95.0 2372 15.0 70 japan toyota corona mark ii
17 22.0 6 198.0 95.0 2833 15.5 70 usa plymouth duster
18 18.0 6 199.0 97.0 2774 15.5 70 usa amc hornet
19 21.0 6 200.0 85.0 2587 16.0 70 usa ford maverick
20 27.0 4 97.0 88.0 2130 14.5 70 japan datsun pl510
21 26.0 4 97.0 46.0 1835 20.5 70 europe volkswagen 1131 deluxe sedan
22 25.0 4 110.0 87.0 2672 17.5 70 europe peugeot 504
23 24.0 4 107.0 90.0 2430 14.5 70 europe audi 100 ls
24 25.0 4 104.0 95.0 2375 17.5 70 europe saab 99e
25 26.0 4 121.0 113.0 2234 12.5 70 europe bmw 2002
26 21.0 6 199.0 90.0 2648 15.0 70 usa amc gremlin
27 10.0 8 360.0 215.0 4615 14.0 70 usa ford f250
28 10.0 8 307.0 200.0 4376 15.0 70 usa chevy c20
29 11.0 8 318.0 210.0 4382 13.5 70 usa dodge d200
30 9.0 8 304.0 193.0 4732 18.5 70 usa hi 1200d
31 27.0 4 97.0 88.0 2130 14.5 71 japan datsun pl510
32 28.0 4 140.0 90.0 2264 15.5 71 usa chevrolet vega 2300
33 25.0 4 113.0 95.0 2228 14.0 71 japan toyota corona
34 25.0 4 98.0 2046 19.0 71 usa ford pinto
35 19.0 6 232.0 100.0 2634 13.0 71 usa amc gremlin
36 16.0 6 225.0 105.0 3439 15.5 71 usa plymouth satellite custom
37 17.0 6 250.0 100.0 3329 15.5 71 usa chevrolet chevelle malibu
38 19.0 6 250.0 88.0 3302 15.5 71 usa ford torino 500
39 18.0 6 232.0 100.0 3288 15.5 71 usa amc matador
40 14.0 8 350.0 165.0 4209 12.0 71 usa chevrolet impala
41 14.0 8 400.0 175.0 4464 11.5 71 usa pontiac catalina brougham
42 14.0 8 351.0 153.0 4154 13.5 71 usa ford galaxie 500
43 14.0 8 318.0 150.0 4096 13.0 71 usa plymouth fury iii
44 12.0 8 383.0 180.0 4955 11.5 71 usa dodge monaco (sw)
45 13.0 8 400.0 170.0 4746 12.0 71 usa ford country squire (sw)
46 13.0 8 400.0 175.0 5140 12.0 71 usa pontiac safari (sw)
47 18.0 6 258.0 110.0 2962 13.5 71 usa amc hornet sportabout (sw)
48 22.0 4 140.0 72.0 2408 19.0 71 usa chevrolet vega (sw)
49 19.0 6 250.0 100.0 3282 15.0 71 usa pontiac firebird
50 18.0 6 250.0 88.0 3139 14.5 71 usa ford mustang
51 23.0 4 122.0 86.0 2220 14.0 71 usa mercury capri 2000
52 28.0 4 116.0 90.0 2123 14.0 71 europe opel 1900
53 30.0 4 79.0 70.0 2074 19.5 71 europe peugeot 304
54 30.0 4 88.0 76.0 2065 14.5 71 europe fiat 124b
55 31.0 4 71.0 65.0 1773 19.0 71 japan toyota corolla 1200
56 35.0 4 72.0 69.0 1613 18.0 71 japan datsun 1200
57 27.0 4 97.0 60.0 1834 19.0 71 europe volkswagen model 111
58 26.0 4 91.0 70.0 1955 20.5 71 usa plymouth cricket
59 24.0 4 113.0 95.0 2278 15.5 72 japan toyota corona hardtop
60 25.0 4 97.5 80.0 2126 17.0 72 usa dodge colt hardtop
61 23.0 4 97.0 54.0 2254 23.5 72 europe volkswagen type 3
62 20.0 4 140.0 90.0 2408 19.5 72 usa chevrolet vega
63 21.0 4 122.0 86.0 2226 16.5 72 usa ford pinto runabout
64 13.0 8 350.0 165.0 4274 12.0 72 usa chevrolet impala
65 14.0 8 400.0 175.0 4385 12.0 72 usa pontiac catalina
66 15.0 8 318.0 150.0 4135 13.5 72 usa plymouth fury iii
67 14.0 8 351.0 153.0 4129 13.0 72 usa ford galaxie 500
68 17.0 8 304.0 150.0 3672 11.5 72 usa amc ambassador sst
69 11.0 8 429.0 208.0 4633 11.0 72 usa mercury marquis
70 13.0 8 350.0 155.0 4502 13.5 72 usa buick lesabre custom
71 12.0 8 350.0 160.0 4456 13.5 72 usa oldsmobile delta 88 royale
72 13.0 8 400.0 190.0 4422 12.5 72 usa chrysler newport royal
73 19.0 3 70.0 97.0 2330 13.5 72 japan mazda rx2 coupe
74 15.0 8 304.0 150.0 3892 12.5 72 usa amc matador (sw)
75 13.0 8 307.0 130.0 4098 14.0 72 usa chevrolet chevelle concours (sw)
76 13.0 8 302.0 140.0 4294 16.0 72 usa ford gran torino (sw)
77 14.0 8 318.0 150.0 4077 14.0 72 usa plymouth satellite custom (sw)
78 18.0 4 121.0 112.0 2933 14.5 72 europe volvo 145e (sw)
79 22.0 4 121.0 76.0 2511 18.0 72 europe volkswagen 411 (sw)
80 21.0 4 120.0 87.0 2979 19.5 72 europe peugeot 504 (sw)
81 26.0 4 96.0 69.0 2189 18.0 72 europe renault 12 (sw)
82 22.0 4 122.0 86.0 2395 16.0 72 usa ford pinto (sw)
83 28.0 4 97.0 92.0 2288 17.0 72 japan datsun 510 (sw)
84 23.0 4 120.0 97.0 2506 14.5 72 japan toyouta corona mark ii (sw)
85 28.0 4 98.0 80.0 2164 15.0 72 usa dodge colt (sw)
86 27.0 4 97.0 88.0 2100 16.5 72 japan toyota corolla 1600 (sw)
87 13.0 8 350.0 175.0 4100 13.0 73 usa buick century 350
88 14.0 8 304.0 150.0 3672 11.5 73 usa amc matador
89 13.0 8 350.0 145.0 3988 13.0 73 usa chevrolet malibu
90 14.0 8 302.0 137.0 4042 14.5 73 usa ford gran torino
91 15.0 8 318.0 150.0 3777 12.5 73 usa dodge coronet custom
92 12.0 8 429.0 198.0 4952 11.5 73 usa mercury marquis brougham
93 13.0 8 400.0 150.0 4464 12.0 73 usa chevrolet caprice classic
94 13.0 8 351.0 158.0 4363 13.0 73 usa ford ltd
95 14.0 8 318.0 150.0 4237 14.5 73 usa plymouth fury gran sedan
96 13.0 8 440.0 215.0 4735 11.0 73 usa chrysler new yorker brougham
97 12.0 8 455.0 225.0 4951 11.0 73 usa buick electra 225 custom
98 13.0 8 360.0 175.0 3821 11.0 73 usa amc ambassador brougham
99 18.0 6 225.0 105.0 3121 16.5 73 usa plymouth valiant
100 16.0 6 250.0 100.0 3278 18.0 73 usa chevrolet nova custom
101 18.0 6 232.0 100.0 2945 16.0 73 usa amc hornet
102 18.0 6 250.0 88.0 3021 16.5 73 usa ford maverick
103 23.0 6 198.0 95.0 2904 16.0 73 usa plymouth duster
104 26.0 4 97.0 46.0 1950 21.0 73 europe volkswagen super beetle
105 11.0 8 400.0 150.0 4997 14.0 73 usa chevrolet impala
106 12.0 8 400.0 167.0 4906 12.5 73 usa ford country
107 13.0 8 360.0 170.0 4654 13.0 73 usa plymouth custom suburb
108 12.0 8 350.0 180.0 4499 12.5 73 usa oldsmobile vista cruiser
109 18.0 6 232.0 100.0 2789 15.0 73 usa amc gremlin
110 20.0 4 97.0 88.0 2279 19.0 73 japan toyota carina
111 21.0 4 140.0 72.0 2401 19.5 73 usa chevrolet vega
112 22.0 4 108.0 94.0 2379 16.5 73 japan datsun 610
113 18.0 3 70.0 90.0 2124 13.5 73 japan maxda rx3
114 19.0 4 122.0 85.0 2310 18.5 73 usa ford pinto
115 21.0 6 155.0 107.0 2472 14.0 73 usa mercury capri v6
116 26.0 4 98.0 90.0 2265 15.5 73 europe fiat 124 sport coupe
117 15.0 8 350.0 145.0 4082 13.0 73 usa chevrolet monte carlo s
118 16.0 8 400.0 230.0 4278 9.5 73 usa pontiac grand prix
119 29.0 4 68.0 49.0 1867 19.5 73 europe fiat 128
120 24.0 4 116.0 75.0 2158 15.5 73 europe opel manta
121 20.0 4 114.0 91.0 2582 14.0 73 europe audi 100ls
122 19.0 4 121.0 112.0 2868 15.5 73 europe volvo 144ea
123 15.0 8 318.0 150.0 3399 11.0 73 usa dodge dart custom
124 24.0 4 121.0 110.0 2660 14.0 73 europe saab 99le
125 20.0 6 156.0 122.0 2807 13.5 73 japan toyota mark ii
126 11.0 8 350.0 180.0 3664 11.0 73 usa oldsmobile omega
127 20.0 6 198.0 95.0 3102 16.5 74 usa plymouth duster
128 21.0 6 200.0 2875 17.0 74 usa ford maverick
129 19.0 6 232.0 100.0 2901 16.0 74 usa amc hornet
130 15.0 6 250.0 100.0 3336 17.0 74 usa chevrolet nova
131 31.0 4 79.0 67.0 1950 19.0 74 japan datsun b210
132 26.0 4 122.0 80.0 2451 16.5 74 usa ford pinto
133 32.0 4 71.0 65.0 1836 21.0 74 japan toyota corolla 1200
134 25.0 4 140.0 75.0 2542 17.0 74 usa chevrolet vega
135 16.0 6 250.0 100.0 3781 17.0 74 usa chevrolet chevelle malibu classic
136 16.0 6 258.0 110.0 3632 18.0 74 usa amc matador
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142 14.0 8 304.0 150.0 4257 15.5 74 usa amc matador (sw)
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147 32.0 4 83.0 61.0 2003 19.0 74 japan datsun 710
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149 24.0 4 90.0 75.0 2108 15.5 74 europe fiat 128
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152 26.0 4 108.0 93.0 2391 15.5 74 japan subaru
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154 19.0 6 225.0 95.0 3264 16.0 75 usa plymouth valiant custom
155 18.0 6 250.0 105.0 3459 16.0 75 usa chevrolet nova
156 15.0 6 250.0 72.0 3432 21.0 75 usa mercury monarch
157 15.0 6 250.0 72.0 3158 19.5 75 usa ford maverick
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163 16.0 6 250.0 105.0 3897 18.5 75 usa chevroelt chevelle malibu
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165 18.0 6 225.0 95.0 3785 19.0 75 usa plymouth fury
166 21.0 6 231.0 110.0 3039 15.0 75 usa buick skyhawk
167 20.0 8 262.0 110.0 3221 13.5 75 usa chevrolet monza 2+2
168 13.0 8 302.0 129.0 3169 12.0 75 usa ford mustang ii
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170 23.0 4 140.0 83.0 2639 17.0 75 usa ford pinto
171 20.0 6 232.0 100.0 2914 16.0 75 usa amc gremlin
172 23.0 4 140.0 78.0 2592 18.5 75 usa pontiac astro
173 24.0 4 134.0 96.0 2702 13.5 75 japan toyota corona
174 25.0 4 90.0 71.0 2223 16.5 75 europe volkswagen dasher
175 24.0 4 119.0 97.0 2545 17.0 75 japan datsun 710
176 18.0 6 171.0 97.0 2984 14.5 75 usa ford pinto
177 29.0 4 90.0 70.0 1937 14.0 75 europe volkswagen rabbit
178 19.0 6 232.0 90.0 3211 17.0 75 usa amc pacer
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182 25.0 4 121.0 115.0 2671 13.5 75 europe saab 99le
183 33.0 4 91.0 53.0 1795 17.5 75 japan honda civic cvcc
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185 25.0 4 116.0 81.0 2220 16.9 76 europe opel 1900
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187 26.0 4 98.0 79.0 2255 17.7 76 usa dodge colt
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190 16.0 8 318.0 150.0 4190 13.0 76 usa dodge coronet brougham
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196 22.5 6 232.0 90.0 3085 17.6 76 usa amc hornet
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198 24.5 4 98.0 60.0 2164 22.1 76 usa chevrolet woody
199 29.0 4 90.0 70.0 1937 14.2 76 europe vw rabbit
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201 20.0 6 225.0 100.0 3651 17.7 76 usa dodge aspen se
202 18.0 6 250.0 78.0 3574 21.0 76 usa ford granada ghia
203 18.5 6 250.0 110.0 3645 16.2 76 usa pontiac ventura sj
204 17.5 6 258.0 95.0 3193 17.8 76 usa amc pacer d/l
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206 32.0 4 85.0 70.0 1990 17.0 76 japan datsun b-210
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208 26.5 4 140.0 72.0 2565 13.6 76 usa ford pinto
209 20.0 4 130.0 102.0 3150 15.7 76 europe volvo 245
210 13.0 8 318.0 150.0 3940 13.2 76 usa plymouth volare premier v8
211 19.0 4 120.0 88.0 3270 21.9 76 europe peugeot 504
212 19.0 6 156.0 108.0 2930 15.5 76 japan toyota mark ii
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214 16.5 8 350.0 180.0 4380 12.1 76 usa cadillac seville
215 13.0 8 350.0 145.0 4055 12.0 76 usa chevy c10
216 13.0 8 302.0 130.0 3870 15.0 76 usa ford f108
217 13.0 8 318.0 150.0 3755 14.0 76 usa dodge d100
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219 30.0 4 111.0 80.0 2155 14.8 77 usa buick opel isuzu deluxe
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222 33.5 4 85.0 70.0 1945 16.8 77 japan datsun f-10 hatchback
223 17.5 8 305.0 145.0 3880 12.5 77 usa chevrolet caprice classic
224 17.0 8 260.0 110.0 4060 19.0 77 usa oldsmobile cutlass supreme
225 15.5 8 318.0 145.0 4140 13.7 77 usa dodge monaco brougham
226 15.0 8 302.0 130.0 4295 14.9 77 usa mercury cougar brougham
227 17.5 6 250.0 110.0 3520 16.4 77 usa chevrolet concours
228 20.5 6 231.0 105.0 3425 16.9 77 usa buick skylark
229 19.0 6 225.0 100.0 3630 17.7 77 usa plymouth volare custom
230 18.5 6 250.0 98.0 3525 19.0 77 usa ford granada
231 16.0 8 400.0 180.0 4220 11.1 77 usa pontiac grand prix lj
232 15.5 8 350.0 170.0 4165 11.4 77 usa chevrolet monte carlo landau
233 15.5 8 400.0 190.0 4325 12.2 77 usa chrysler cordoba
234 16.0 8 351.0 149.0 4335 14.5 77 usa ford thunderbird
235 29.0 4 97.0 78.0 1940 14.5 77 europe volkswagen rabbit custom
236 24.5 4 151.0 88.0 2740 16.0 77 usa pontiac sunbird coupe
237 26.0 4 97.0 75.0 2265 18.2 77 japan toyota corolla liftback
238 25.5 4 140.0 89.0 2755 15.8 77 usa ford mustang ii 2+2
239 30.5 4 98.0 63.0 2051 17.0 77 usa chevrolet chevette
240 33.5 4 98.0 83.0 2075 15.9 77 usa dodge colt m/m
241 30.0 4 97.0 67.0 1985 16.4 77 japan subaru dl
242 30.5 4 97.0 78.0 2190 14.1 77 europe volkswagen dasher
243 22.0 6 146.0 97.0 2815 14.5 77 japan datsun 810
244 21.5 4 121.0 110.0 2600 12.8 77 europe bmw 320i
245 21.5 3 80.0 110.0 2720 13.5 77 japan mazda rx-4
246 43.1 4 90.0 48.0 1985 21.5 78 europe volkswagen rabbit custom diesel
247 36.1 4 98.0 66.0 1800 14.4 78 usa ford fiesta
248 32.8 4 78.0 52.0 1985 19.4 78 japan mazda glc deluxe
249 39.4 4 85.0 70.0 2070 18.6 78 japan datsun b210 gx
250 36.1 4 91.0 60.0 1800 16.4 78 japan honda civic cvcc
251 19.9 8 260.0 110.0 3365 15.5 78 usa oldsmobile cutlass salon brougham
252 19.4 8 318.0 140.0 3735 13.2 78 usa dodge diplomat
253 20.2 8 302.0 139.0 3570 12.8 78 usa mercury monarch ghia
254 19.2 6 231.0 105.0 3535 19.2 78 usa pontiac phoenix lj
255 20.5 6 200.0 95.0 3155 18.2 78 usa chevrolet malibu
256 20.2 6 200.0 85.0 2965 15.8 78 usa ford fairmont (auto)
257 25.1 4 140.0 88.0 2720 15.4 78 usa ford fairmont (man)
258 20.5 6 225.0 100.0 3430 17.2 78 usa plymouth volare
259 19.4 6 232.0 90.0 3210 17.2 78 usa amc concord
260 20.6 6 231.0 105.0 3380 15.8 78 usa buick century special
261 20.8 6 200.0 85.0 3070 16.7 78 usa mercury zephyr
262 18.6 6 225.0 110.0 3620 18.7 78 usa dodge aspen
263 18.1 6 258.0 120.0 3410 15.1 78 usa amc concord d/l
264 19.2 8 305.0 145.0 3425 13.2 78 usa chevrolet monte carlo landau
265 17.7 6 231.0 165.0 3445 13.4 78 usa buick regal sport coupe (turbo)
266 18.1 8 302.0 139.0 3205 11.2 78 usa ford futura
267 17.5 8 318.0 140.0 4080 13.7 78 usa dodge magnum xe
268 30.0 4 98.0 68.0 2155 16.5 78 usa chevrolet chevette
269 27.5 4 134.0 95.0 2560 14.2 78 japan toyota corona
270 27.2 4 119.0 97.0 2300 14.7 78 japan datsun 510
271 30.9 4 105.0 75.0 2230 14.5 78 usa dodge omni
272 21.1 4 134.0 95.0 2515 14.8 78 japan toyota celica gt liftback
273 23.2 4 156.0 105.0 2745 16.7 78 usa plymouth sapporo
274 23.8 4 151.0 85.0 2855 17.6 78 usa oldsmobile starfire sx
275 23.9 4 119.0 97.0 2405 14.9 78 japan datsun 200-sx
276 20.3 5 131.0 103.0 2830 15.9 78 europe audi 5000
277 17.0 6 163.0 125.0 3140 13.6 78 europe volvo 264gl
278 21.6 4 121.0 115.0 2795 15.7 78 europe saab 99gle
279 16.2 6 163.0 133.0 3410 15.8 78 europe peugeot 604sl
280 31.5 4 89.0 71.0 1990 14.9 78 europe volkswagen scirocco
281 29.5 4 98.0 68.0 2135 16.6 78 japan honda accord lx
282 21.5 6 231.0 115.0 3245 15.4 79 usa pontiac lemans v6
283 19.8 6 200.0 85.0 2990 18.2 79 usa mercury zephyr 6
284 22.3 4 140.0 88.0 2890 17.3 79 usa ford fairmont 4
285 20.2 6 232.0 90.0 3265 18.2 79 usa amc concord dl 6
286 20.6 6 225.0 110.0 3360 16.6 79 usa dodge aspen 6
287 17.0 8 305.0 130.0 3840 15.4 79 usa chevrolet caprice classic
288 17.6 8 302.0 129.0 3725 13.4 79 usa ford ltd landau
289 16.5 8 351.0 138.0 3955 13.2 79 usa mercury grand marquis
290 18.2 8 318.0 135.0 3830 15.2 79 usa dodge st. regis
291 16.9 8 350.0 155.0 4360 14.9 79 usa buick estate wagon (sw)
292 15.5 8 351.0 142.0 4054 14.3 79 usa ford country squire (sw)
293 19.2 8 267.0 125.0 3605 15.0 79 usa chevrolet malibu classic (sw)
294 18.5 8 360.0 150.0 3940 13.0 79 usa chrysler lebaron town @ country (sw)
295 31.9 4 89.0 71.0 1925 14.0 79 europe vw rabbit custom
296 34.1 4 86.0 65.0 1975 15.2 79 japan maxda glc deluxe
297 35.7 4 98.0 80.0 1915 14.4 79 usa dodge colt hatchback custom
298 27.4 4 121.0 80.0 2670 15.0 79 usa amc spirit dl
299 25.4 5 183.0 77.0 3530 20.1 79 europe mercedes benz 300d
300 23.0 8 350.0 125.0 3900 17.4 79 usa cadillac eldorado
301 27.2 4 141.0 71.0 3190 24.8 79 europe peugeot 504
302 23.9 8 260.0 90.0 3420 22.2 79 usa oldsmobile cutlass salon brougham
303 34.2 4 105.0 70.0 2200 13.2 79 usa plymouth horizon
304 34.5 4 105.0 70.0 2150 14.9 79 usa plymouth horizon tc3
305 31.8 4 85.0 65.0 2020 19.2 79 japan datsun 210
306 37.3 4 91.0 69.0 2130 14.7 79 europe fiat strada custom
307 28.4 4 151.0 90.0 2670 16.0 79 usa buick skylark limited
308 28.8 6 173.0 115.0 2595 11.3 79 usa chevrolet citation
309 26.8 6 173.0 115.0 2700 12.9 79 usa oldsmobile omega brougham
310 33.5 4 151.0 90.0 2556 13.2 79 usa pontiac phoenix
311 41.5 4 98.0 76.0 2144 14.7 80 europe vw rabbit
312 38.1 4 89.0 60.0 1968 18.8 80 japan toyota corolla tercel
313 32.1 4 98.0 70.0 2120 15.5 80 usa chevrolet chevette
314 37.2 4 86.0 65.0 2019 16.4 80 japan datsun 310
315 28.0 4 151.0 90.0 2678 16.5 80 usa chevrolet citation
316 26.4 4 140.0 88.0 2870 18.1 80 usa ford fairmont
317 24.3 4 151.0 90.0 3003 20.1 80 usa amc concord
318 19.1 6 225.0 90.0 3381 18.7 80 usa dodge aspen
319 34.3 4 97.0 78.0 2188 15.8 80 europe audi 4000
320 29.8 4 134.0 90.0 2711 15.5 80 japan toyota corona liftback
321 31.3 4 120.0 75.0 2542 17.5 80 japan mazda 626
322 37.0 4 119.0 92.0 2434 15.0 80 japan datsun 510 hatchback
323 32.2 4 108.0 75.0 2265 15.2 80 japan toyota corolla
324 46.6 4 86.0 65.0 2110 17.9 80 japan mazda glc
325 27.9 4 156.0 105.0 2800 14.4 80 usa dodge colt
326 40.8 4 85.0 65.0 2110 19.2 80 japan datsun 210
327 44.3 4 90.0 48.0 2085 21.7 80 europe vw rabbit c (diesel)
328 43.4 4 90.0 48.0 2335 23.7 80 europe vw dasher (diesel)
329 36.4 5 121.0 67.0 2950 19.9 80 europe audi 5000s (diesel)
330 30.0 4 146.0 67.0 3250 21.8 80 europe mercedes-benz 240d
331 44.6 4 91.0 67.0 1850 13.8 80 japan honda civic 1500 gl
332 40.9 4 85.0 1835 17.3 80 europe renault lecar deluxe
333 33.8 4 97.0 67.0 2145 18.0 80 japan subaru dl
334 29.8 4 89.0 62.0 1845 15.3 80 europe vokswagen rabbit
335 32.7 6 168.0 132.0 2910 11.4 80 japan datsun 280-zx
336 23.7 3 70.0 100.0 2420 12.5 80 japan mazda rx-7 gs
337 35.0 4 122.0 88.0 2500 15.1 80 europe triumph tr7 coupe
338 23.6 4 140.0 2905 14.3 80 usa ford mustang cobra
339 32.4 4 107.0 72.0 2290 17.0 80 japan honda accord
340 27.2 4 135.0 84.0 2490 15.7 81 usa plymouth reliant
341 26.6 4 151.0 84.0 2635 16.4 81 usa buick skylark
342 25.8 4 156.0 92.0 2620 14.4 81 usa dodge aries wagon (sw)
343 23.5 6 173.0 110.0 2725 12.6 81 usa chevrolet citation
344 30.0 4 135.0 84.0 2385 12.9 81 usa plymouth reliant
345 39.1 4 79.0 58.0 1755 16.9 81 japan toyota starlet
346 39.0 4 86.0 64.0 1875 16.4 81 usa plymouth champ
347 35.1 4 81.0 60.0 1760 16.1 81 japan honda civic 1300
348 32.3 4 97.0 67.0 2065 17.8 81 japan subaru
349 37.0 4 85.0 65.0 1975 19.4 81 japan datsun 210 mpg
350 37.7 4 89.0 62.0 2050 17.3 81 japan toyota tercel
351 34.1 4 91.0 68.0 1985 16.0 81 japan mazda glc 4
352 34.7 4 105.0 63.0 2215 14.9 81 usa plymouth horizon 4
353 34.4 4 98.0 65.0 2045 16.2 81 usa ford escort 4w
354 29.9 4 98.0 65.0 2380 20.7 81 usa ford escort 2h
355 33.0 4 105.0 74.0 2190 14.2 81 europe volkswagen jetta
356 34.5 4 100.0 2320 15.8 81 europe renault 18i
357 33.7 4 107.0 75.0 2210 14.4 81 japan honda prelude
358 32.4 4 108.0 75.0 2350 16.8 81 japan toyota corolla
359 32.9 4 119.0 100.0 2615 14.8 81 japan datsun 200sx
360 31.6 4 120.0 74.0 2635 18.3 81 japan mazda 626
361 28.1 4 141.0 80.0 3230 20.4 81 europe peugeot 505s turbo diesel
362 30.7 6 145.0 76.0 3160 19.6 81 europe volvo diesel
363 25.4 6 168.0 116.0 2900 12.6 81 japan toyota cressida
364 24.2 6 146.0 120.0 2930 13.8 81 japan datsun 810 maxima
365 22.4 6 231.0 110.0 3415 15.8 81 usa buick century
366 26.6 8 350.0 105.0 3725 19.0 81 usa oldsmobile cutlass ls
367 20.2 6 200.0 88.0 3060 17.1 81 usa ford granada gl
368 17.6 6 225.0 85.0 3465 16.6 81 usa chrysler lebaron salon
369 28.0 4 112.0 88.0 2605 19.6 82 usa chevrolet cavalier
370 27.0 4 112.0 88.0 2640 18.6 82 usa chevrolet cavalier wagon
371 34.0 4 112.0 88.0 2395 18.0 82 usa chevrolet cavalier 2-door
372 31.0 4 112.0 85.0 2575 16.2 82 usa pontiac j2000 se hatchback
373 29.0 4 135.0 84.0 2525 16.0 82 usa dodge aries se
374 27.0 4 151.0 90.0 2735 18.0 82 usa pontiac phoenix
375 24.0 4 140.0 92.0 2865 16.4 82 usa ford fairmont futura
376 23.0 4 151.0 3035 20.5 82 usa amc concord dl
377 36.0 4 105.0 74.0 1980 15.3 82 europe volkswagen rabbit l
378 37.0 4 91.0 68.0 2025 18.2 82 japan mazda glc custom l
379 31.0 4 91.0 68.0 1970 17.6 82 japan mazda glc custom
380 38.0 4 105.0 63.0 2125 14.7 82 usa plymouth horizon miser
381 36.0 4 98.0 70.0 2125 17.3 82 usa mercury lynx l
382 36.0 4 120.0 88.0 2160 14.5 82 japan nissan stanza xe
383 36.0 4 107.0 75.0 2205 14.5 82 japan honda accord
384 34.0 4 108.0 70.0 2245 16.9 82 japan toyota corolla
385 38.0 4 91.0 67.0 1965 15.0 82 japan honda civic
386 32.0 4 91.0 67.0 1965 15.7 82 japan honda civic (auto)
387 38.0 4 91.0 67.0 1995 16.2 82 japan datsun 310 gx
388 25.0 6 181.0 110.0 2945 16.4 82 usa buick century limited
389 38.0 6 262.0 85.0 3015 17.0 82 usa oldsmobile cutlass ciera (diesel)
390 26.0 4 156.0 92.0 2585 14.5 82 usa chrysler lebaron medallion
391 22.0 6 232.0 112.0 2835 14.7 82 usa ford granada l
392 32.0 4 144.0 96.0 2665 13.9 82 japan toyota celica gt
393 36.0 4 135.0 84.0 2370 13.0 82 usa dodge charger 2.2
394 27.0 4 151.0 90.0 2950 17.3 82 usa chevrolet camaro
395 27.0 4 140.0 86.0 2790 15.6 82 usa ford mustang gl
396 44.0 4 97.0 52.0 2130 24.6 82 europe vw pickup
397 32.0 4 135.0 84.0 2295 11.6 82 usa dodge rampage
398 28.0 4 120.0 79.0 2625 18.6 82 usa ford ranger
399 31.0 4 119.0 82.0 2720 19.4 82 usa chevy s-10

7790
实力学习PandasGUI/dataset_files/netflix_titles.csv Normal file
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实力学习PandasGUI/dataset_files/penguins.csv Normal file
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species,island,culmen_length_mm,culmen_depth_mm,flipper_length_mm,body_mass_g,sex
Adelie,Torgersen,39.1,18.7,181.0,3750.0,MALE
Adelie,Torgersen,39.5,17.4,186.0,3800.0,FEMALE
Adelie,Torgersen,40.3,18.0,195.0,3250.0,FEMALE
Adelie,Torgersen,,,,,
Adelie,Torgersen,36.7,19.3,193.0,3450.0,FEMALE
Adelie,Torgersen,39.3,20.6,190.0,3650.0,MALE
Adelie,Torgersen,38.9,17.8,181.0,3625.0,FEMALE
Adelie,Torgersen,39.2,19.6,195.0,4675.0,MALE
Adelie,Torgersen,34.1,18.1,193.0,3475.0,
Adelie,Torgersen,42.0,20.2,190.0,4250.0,
Adelie,Torgersen,37.8,17.1,186.0,3300.0,
Adelie,Torgersen,37.8,17.3,180.0,3700.0,
Adelie,Torgersen,41.1,17.6,182.0,3200.0,FEMALE
Adelie,Torgersen,38.6,21.2,191.0,3800.0,MALE
Adelie,Torgersen,34.6,21.1,198.0,4400.0,MALE
Adelie,Torgersen,36.6,17.8,185.0,3700.0,FEMALE
Adelie,Torgersen,38.7,19.0,195.0,3450.0,FEMALE
Adelie,Torgersen,42.5,20.7,197.0,4500.0,MALE
Adelie,Torgersen,34.4,18.4,184.0,3325.0,FEMALE
Adelie,Torgersen,46.0,21.5,194.0,4200.0,MALE
Adelie,Biscoe,37.8,18.3,174.0,3400.0,FEMALE
Adelie,Biscoe,37.7,18.7,180.0,3600.0,MALE
Adelie,Biscoe,35.9,19.2,189.0,3800.0,FEMALE
Adelie,Biscoe,38.2,18.1,185.0,3950.0,MALE
Adelie,Biscoe,38.8,17.2,180.0,3800.0,MALE
Adelie,Biscoe,35.3,18.9,187.0,3800.0,FEMALE
Adelie,Biscoe,40.6,18.6,183.0,3550.0,MALE
Adelie,Biscoe,40.5,17.9,187.0,3200.0,FEMALE
Adelie,Biscoe,37.9,18.6,172.0,3150.0,FEMALE
Adelie,Biscoe,40.5,18.9,180.0,3950.0,MALE
Adelie,Dream,39.5,16.7,178.0,3250.0,FEMALE
Adelie,Dream,37.2,18.1,178.0,3900.0,MALE
Adelie,Dream,39.5,17.8,188.0,3300.0,FEMALE
Adelie,Dream,40.9,18.9,184.0,3900.0,MALE
Adelie,Dream,36.4,17.0,195.0,3325.0,FEMALE
Adelie,Dream,39.2,21.1,196.0,4150.0,MALE
Adelie,Dream,38.8,20.0,190.0,3950.0,MALE
Adelie,Dream,42.2,18.5,180.0,3550.0,FEMALE
Adelie,Dream,37.6,19.3,181.0,3300.0,FEMALE
Adelie,Dream,39.8,19.1,184.0,4650.0,MALE
Adelie,Dream,36.5,18.0,182.0,3150.0,FEMALE
Adelie,Dream,40.8,18.4,195.0,3900.0,MALE
Adelie,Dream,36.0,18.5,186.0,3100.0,FEMALE
Adelie,Dream,44.1,19.7,196.0,4400.0,MALE
Adelie,Dream,37.0,16.9,185.0,3000.0,FEMALE
Adelie,Dream,39.6,18.8,190.0,4600.0,MALE
Adelie,Dream,41.1,19.0,182.0,3425.0,MALE
Adelie,Dream,37.5,18.9,179.0,2975.0,
Adelie,Dream,36.0,17.9,190.0,3450.0,FEMALE
Adelie,Dream,42.3,21.2,191.0,4150.0,MALE
Adelie,Biscoe,39.6,17.7,186.0,3500.0,FEMALE
Adelie,Biscoe,40.1,18.9,188.0,4300.0,MALE
Adelie,Biscoe,35.0,17.9,190.0,3450.0,FEMALE
Adelie,Biscoe,42.0,19.5,200.0,4050.0,MALE
Adelie,Biscoe,34.5,18.1,187.0,2900.0,FEMALE
Adelie,Biscoe,41.4,18.6,191.0,3700.0,MALE
Adelie,Biscoe,39.0,17.5,186.0,3550.0,FEMALE
Adelie,Biscoe,40.6,18.8,193.0,3800.0,MALE
Adelie,Biscoe,36.5,16.6,181.0,2850.0,FEMALE
Adelie,Biscoe,37.6,19.1,194.0,3750.0,MALE
Adelie,Biscoe,35.7,16.9,185.0,3150.0,FEMALE
Adelie,Biscoe,41.3,21.1,195.0,4400.0,MALE
Adelie,Biscoe,37.6,17.0,185.0,3600.0,FEMALE
Adelie,Biscoe,41.1,18.2,192.0,4050.0,MALE
Adelie,Biscoe,36.4,17.1,184.0,2850.0,FEMALE
Adelie,Biscoe,41.6,18.0,192.0,3950.0,MALE
Adelie,Biscoe,35.5,16.2,195.0,3350.0,FEMALE
Adelie,Biscoe,41.1,19.1,188.0,4100.0,MALE
Adelie,Torgersen,35.9,16.6,190.0,3050.0,FEMALE
Adelie,Torgersen,41.8,19.4,198.0,4450.0,MALE
Adelie,Torgersen,33.5,19.0,190.0,3600.0,FEMALE
Adelie,Torgersen,39.7,18.4,190.0,3900.0,MALE
Adelie,Torgersen,39.6,17.2,196.0,3550.0,FEMALE
Adelie,Torgersen,45.8,18.9,197.0,4150.0,MALE
Adelie,Torgersen,35.5,17.5,190.0,3700.0,FEMALE
Adelie,Torgersen,42.8,18.5,195.0,4250.0,MALE
Adelie,Torgersen,40.9,16.8,191.0,3700.0,FEMALE
Adelie,Torgersen,37.2,19.4,184.0,3900.0,MALE
Adelie,Torgersen,36.2,16.1,187.0,3550.0,FEMALE
Adelie,Torgersen,42.1,19.1,195.0,4000.0,MALE
Adelie,Torgersen,34.6,17.2,189.0,3200.0,FEMALE
Adelie,Torgersen,42.9,17.6,196.0,4700.0,MALE
Adelie,Torgersen,36.7,18.8,187.0,3800.0,FEMALE
Adelie,Torgersen,35.1,19.4,193.0,4200.0,MALE
Adelie,Dream,37.3,17.8,191.0,3350.0,FEMALE
Adelie,Dream,41.3,20.3,194.0,3550.0,MALE
Adelie,Dream,36.3,19.5,190.0,3800.0,MALE
Adelie,Dream,36.9,18.6,189.0,3500.0,FEMALE
Adelie,Dream,38.3,19.2,189.0,3950.0,MALE
Adelie,Dream,38.9,18.8,190.0,3600.0,FEMALE
Adelie,Dream,35.7,18.0,202.0,3550.0,FEMALE
Adelie,Dream,41.1,18.1,205.0,4300.0,MALE
Adelie,Dream,34.0,17.1,185.0,3400.0,FEMALE
Adelie,Dream,39.6,18.1,186.0,4450.0,MALE
Adelie,Dream,36.2,17.3,187.0,3300.0,FEMALE
Adelie,Dream,40.8,18.9,208.0,4300.0,MALE
Adelie,Dream,38.1,18.6,190.0,3700.0,FEMALE
Adelie,Dream,40.3,18.5,196.0,4350.0,MALE
Adelie,Dream,33.1,16.1,178.0,2900.0,FEMALE
Adelie,Dream,43.2,18.5,192.0,4100.0,MALE
Adelie,Biscoe,35.0,17.9,192.0,3725.0,FEMALE
Adelie,Biscoe,41.0,20.0,203.0,4725.0,MALE
Adelie,Biscoe,37.7,16.0,183.0,3075.0,FEMALE
Adelie,Biscoe,37.8,20.0,190.0,4250.0,MALE
Adelie,Biscoe,37.9,18.6,193.0,2925.0,FEMALE
Adelie,Biscoe,39.7,18.9,184.0,3550.0,MALE
Adelie,Biscoe,38.6,17.2,199.0,3750.0,FEMALE
Adelie,Biscoe,38.2,20.0,190.0,3900.0,MALE
Adelie,Biscoe,38.1,17.0,181.0,3175.0,FEMALE
Adelie,Biscoe,43.2,19.0,197.0,4775.0,MALE
Adelie,Biscoe,38.1,16.5,198.0,3825.0,FEMALE
Adelie,Biscoe,45.6,20.3,191.0,4600.0,MALE
Adelie,Biscoe,39.7,17.7,193.0,3200.0,FEMALE
Adelie,Biscoe,42.2,19.5,197.0,4275.0,MALE
Adelie,Biscoe,39.6,20.7,191.0,3900.0,FEMALE
Adelie,Biscoe,42.7,18.3,196.0,4075.0,MALE
Adelie,Torgersen,38.6,17.0,188.0,2900.0,FEMALE
Adelie,Torgersen,37.3,20.5,199.0,3775.0,MALE
Adelie,Torgersen,35.7,17.0,189.0,3350.0,FEMALE
Adelie,Torgersen,41.1,18.6,189.0,3325.0,MALE
Adelie,Torgersen,36.2,17.2,187.0,3150.0,FEMALE
Adelie,Torgersen,37.7,19.8,198.0,3500.0,MALE
Adelie,Torgersen,40.2,17.0,176.0,3450.0,FEMALE
Adelie,Torgersen,41.4,18.5,202.0,3875.0,MALE
Adelie,Torgersen,35.2,15.9,186.0,3050.0,FEMALE
Adelie,Torgersen,40.6,19.0,199.0,4000.0,MALE
Adelie,Torgersen,38.8,17.6,191.0,3275.0,FEMALE
Adelie,Torgersen,41.5,18.3,195.0,4300.0,MALE
Adelie,Torgersen,39.0,17.1,191.0,3050.0,FEMALE
Adelie,Torgersen,44.1,18.0,210.0,4000.0,MALE
Adelie,Torgersen,38.5,17.9,190.0,3325.0,FEMALE
Adelie,Torgersen,43.1,19.2,197.0,3500.0,MALE
Adelie,Dream,36.8,18.5,193.0,3500.0,FEMALE
Adelie,Dream,37.5,18.5,199.0,4475.0,MALE
Adelie,Dream,38.1,17.6,187.0,3425.0,FEMALE
Adelie,Dream,41.1,17.5,190.0,3900.0,MALE
Adelie,Dream,35.6,17.5,191.0,3175.0,FEMALE
Adelie,Dream,40.2,20.1,200.0,3975.0,MALE
Adelie,Dream,37.0,16.5,185.0,3400.0,FEMALE
Adelie,Dream,39.7,17.9,193.0,4250.0,MALE
Adelie,Dream,40.2,17.1,193.0,3400.0,FEMALE
Adelie,Dream,40.6,17.2,187.0,3475.0,MALE
Adelie,Dream,32.1,15.5,188.0,3050.0,FEMALE
Adelie,Dream,40.7,17.0,190.0,3725.0,MALE
Adelie,Dream,37.3,16.8,192.0,3000.0,FEMALE
Adelie,Dream,39.0,18.7,185.0,3650.0,MALE
Adelie,Dream,39.2,18.6,190.0,4250.0,MALE
Adelie,Dream,36.6,18.4,184.0,3475.0,FEMALE
Adelie,Dream,36.0,17.8,195.0,3450.0,FEMALE
Adelie,Dream,37.8,18.1,193.0,3750.0,MALE
Adelie,Dream,36.0,17.1,187.0,3700.0,FEMALE
Adelie,Dream,41.5,18.5,201.0,4000.0,MALE
Chinstrap,Dream,46.5,17.9,192.0,3500.0,FEMALE
Chinstrap,Dream,50.0,19.5,196.0,3900.0,MALE
Chinstrap,Dream,51.3,19.2,193.0,3650.0,MALE
Chinstrap,Dream,45.4,18.7,188.0,3525.0,FEMALE
Chinstrap,Dream,52.7,19.8,197.0,3725.0,MALE
Chinstrap,Dream,45.2,17.8,198.0,3950.0,FEMALE
Chinstrap,Dream,46.1,18.2,178.0,3250.0,FEMALE
Chinstrap,Dream,51.3,18.2,197.0,3750.0,MALE
Chinstrap,Dream,46.0,18.9,195.0,4150.0,FEMALE
Chinstrap,Dream,51.3,19.9,198.0,3700.0,MALE
Chinstrap,Dream,46.6,17.8,193.0,3800.0,FEMALE
Chinstrap,Dream,51.7,20.3,194.0,3775.0,MALE
Chinstrap,Dream,47.0,17.3,185.0,3700.0,FEMALE
Chinstrap,Dream,52.0,18.1,201.0,4050.0,MALE
Chinstrap,Dream,45.9,17.1,190.0,3575.0,FEMALE
Chinstrap,Dream,50.5,19.6,201.0,4050.0,MALE
Chinstrap,Dream,50.3,20.0,197.0,3300.0,MALE
Chinstrap,Dream,58.0,17.8,181.0,3700.0,FEMALE
Chinstrap,Dream,46.4,18.6,190.0,3450.0,FEMALE
Chinstrap,Dream,49.2,18.2,195.0,4400.0,MALE
Chinstrap,Dream,42.4,17.3,181.0,3600.0,FEMALE
Chinstrap,Dream,48.5,17.5,191.0,3400.0,MALE
Chinstrap,Dream,43.2,16.6,187.0,2900.0,FEMALE
Chinstrap,Dream,50.6,19.4,193.0,3800.0,MALE
Chinstrap,Dream,46.7,17.9,195.0,3300.0,FEMALE
Chinstrap,Dream,52.0,19.0,197.0,4150.0,MALE
Chinstrap,Dream,50.5,18.4,200.0,3400.0,FEMALE
Chinstrap,Dream,49.5,19.0,200.0,3800.0,MALE
Chinstrap,Dream,46.4,17.8,191.0,3700.0,FEMALE
Chinstrap,Dream,52.8,20.0,205.0,4550.0,MALE
Chinstrap,Dream,40.9,16.6,187.0,3200.0,FEMALE
Chinstrap,Dream,54.2,20.8,201.0,4300.0,MALE
Chinstrap,Dream,42.5,16.7,187.0,3350.0,FEMALE
Chinstrap,Dream,51.0,18.8,203.0,4100.0,MALE
Chinstrap,Dream,49.7,18.6,195.0,3600.0,MALE
Chinstrap,Dream,47.5,16.8,199.0,3900.0,FEMALE
Chinstrap,Dream,47.6,18.3,195.0,3850.0,FEMALE
Chinstrap,Dream,52.0,20.7,210.0,4800.0,MALE
Chinstrap,Dream,46.9,16.6,192.0,2700.0,FEMALE
Chinstrap,Dream,53.5,19.9,205.0,4500.0,MALE
Chinstrap,Dream,49.0,19.5,210.0,3950.0,MALE
Chinstrap,Dream,46.2,17.5,187.0,3650.0,FEMALE
Chinstrap,Dream,50.9,19.1,196.0,3550.0,MALE
Chinstrap,Dream,45.5,17.0,196.0,3500.0,FEMALE
Chinstrap,Dream,50.9,17.9,196.0,3675.0,FEMALE
Chinstrap,Dream,50.8,18.5,201.0,4450.0,MALE
Chinstrap,Dream,50.1,17.9,190.0,3400.0,FEMALE
Chinstrap,Dream,49.0,19.6,212.0,4300.0,MALE
Chinstrap,Dream,51.5,18.7,187.0,3250.0,MALE
Chinstrap,Dream,49.8,17.3,198.0,3675.0,FEMALE
Chinstrap,Dream,48.1,16.4,199.0,3325.0,FEMALE
Chinstrap,Dream,51.4,19.0,201.0,3950.0,MALE
Chinstrap,Dream,45.7,17.3,193.0,3600.0,FEMALE
Chinstrap,Dream,50.7,19.7,203.0,4050.0,MALE
Chinstrap,Dream,42.5,17.3,187.0,3350.0,FEMALE
Chinstrap,Dream,52.2,18.8,197.0,3450.0,MALE
Chinstrap,Dream,45.2,16.6,191.0,3250.0,FEMALE
Chinstrap,Dream,49.3,19.9,203.0,4050.0,MALE
Chinstrap,Dream,50.2,18.8,202.0,3800.0,MALE
Chinstrap,Dream,45.6,19.4,194.0,3525.0,FEMALE
Chinstrap,Dream,51.9,19.5,206.0,3950.0,MALE
Chinstrap,Dream,46.8,16.5,189.0,3650.0,FEMALE
Chinstrap,Dream,45.7,17.0,195.0,3650.0,FEMALE
Chinstrap,Dream,55.8,19.8,207.0,4000.0,MALE
Chinstrap,Dream,43.5,18.1,202.0,3400.0,FEMALE
Chinstrap,Dream,49.6,18.2,193.0,3775.0,MALE
Chinstrap,Dream,50.8,19.0,210.0,4100.0,MALE
Chinstrap,Dream,50.2,18.7,198.0,3775.0,FEMALE
Gentoo,Biscoe,46.1,13.2,211.0,4500.0,FEMALE
Gentoo,Biscoe,50.0,16.3,230.0,5700.0,MALE
Gentoo,Biscoe,48.7,14.1,210.0,4450.0,FEMALE
Gentoo,Biscoe,50.0,15.2,218.0,5700.0,MALE
Gentoo,Biscoe,47.6,14.5,215.0,5400.0,MALE
Gentoo,Biscoe,46.5,13.5,210.0,4550.0,FEMALE
Gentoo,Biscoe,45.4,14.6,211.0,4800.0,FEMALE
Gentoo,Biscoe,46.7,15.3,219.0,5200.0,MALE
Gentoo,Biscoe,43.3,13.4,209.0,4400.0,FEMALE
Gentoo,Biscoe,46.8,15.4,215.0,5150.0,MALE
Gentoo,Biscoe,40.9,13.7,214.0,4650.0,FEMALE
Gentoo,Biscoe,49.0,16.1,216.0,5550.0,MALE
Gentoo,Biscoe,45.5,13.7,214.0,4650.0,FEMALE
Gentoo,Biscoe,48.4,14.6,213.0,5850.0,MALE
Gentoo,Biscoe,45.8,14.6,210.0,4200.0,FEMALE
Gentoo,Biscoe,49.3,15.7,217.0,5850.0,MALE
Gentoo,Biscoe,42.0,13.5,210.0,4150.0,FEMALE
Gentoo,Biscoe,49.2,15.2,221.0,6300.0,MALE
Gentoo,Biscoe,46.2,14.5,209.0,4800.0,FEMALE
Gentoo,Biscoe,48.7,15.1,222.0,5350.0,MALE
Gentoo,Biscoe,50.2,14.3,218.0,5700.0,MALE
Gentoo,Biscoe,45.1,14.5,215.0,5000.0,FEMALE
Gentoo,Biscoe,46.5,14.5,213.0,4400.0,FEMALE
Gentoo,Biscoe,46.3,15.8,215.0,5050.0,MALE
Gentoo,Biscoe,42.9,13.1,215.0,5000.0,FEMALE
Gentoo,Biscoe,46.1,15.1,215.0,5100.0,MALE
Gentoo,Biscoe,44.5,14.3,216.0,4100.0,
Gentoo,Biscoe,47.8,15.0,215.0,5650.0,MALE
Gentoo,Biscoe,48.2,14.3,210.0,4600.0,FEMALE
Gentoo,Biscoe,50.0,15.3,220.0,5550.0,MALE
Gentoo,Biscoe,47.3,15.3,222.0,5250.0,MALE
Gentoo,Biscoe,42.8,14.2,209.0,4700.0,FEMALE
Gentoo,Biscoe,45.1,14.5,207.0,5050.0,FEMALE
Gentoo,Biscoe,59.6,17.0,230.0,6050.0,MALE
Gentoo,Biscoe,49.1,14.8,220.0,5150.0,FEMALE
Gentoo,Biscoe,48.4,16.3,220.0,5400.0,MALE
Gentoo,Biscoe,42.6,13.7,213.0,4950.0,FEMALE
Gentoo,Biscoe,44.4,17.3,219.0,5250.0,MALE
Gentoo,Biscoe,44.0,13.6,208.0,4350.0,FEMALE
Gentoo,Biscoe,48.7,15.7,208.0,5350.0,MALE
Gentoo,Biscoe,42.7,13.7,208.0,3950.0,FEMALE
Gentoo,Biscoe,49.6,16.0,225.0,5700.0,MALE
Gentoo,Biscoe,45.3,13.7,210.0,4300.0,FEMALE
Gentoo,Biscoe,49.6,15.0,216.0,4750.0,MALE
Gentoo,Biscoe,50.5,15.9,222.0,5550.0,MALE
Gentoo,Biscoe,43.6,13.9,217.0,4900.0,FEMALE
Gentoo,Biscoe,45.5,13.9,210.0,4200.0,FEMALE
Gentoo,Biscoe,50.5,15.9,225.0,5400.0,MALE
Gentoo,Biscoe,44.9,13.3,213.0,5100.0,FEMALE
Gentoo,Biscoe,45.2,15.8,215.0,5300.0,MALE
Gentoo,Biscoe,46.6,14.2,210.0,4850.0,FEMALE
Gentoo,Biscoe,48.5,14.1,220.0,5300.0,MALE
Gentoo,Biscoe,45.1,14.4,210.0,4400.0,FEMALE
Gentoo,Biscoe,50.1,15.0,225.0,5000.0,MALE
Gentoo,Biscoe,46.5,14.4,217.0,4900.0,FEMALE
Gentoo,Biscoe,45.0,15.4,220.0,5050.0,MALE
Gentoo,Biscoe,43.8,13.9,208.0,4300.0,FEMALE
Gentoo,Biscoe,45.5,15.0,220.0,5000.0,MALE
Gentoo,Biscoe,43.2,14.5,208.0,4450.0,FEMALE
Gentoo,Biscoe,50.4,15.3,224.0,5550.0,MALE
Gentoo,Biscoe,45.3,13.8,208.0,4200.0,FEMALE
Gentoo,Biscoe,46.2,14.9,221.0,5300.0,MALE
Gentoo,Biscoe,45.7,13.9,214.0,4400.0,FEMALE
Gentoo,Biscoe,54.3,15.7,231.0,5650.0,MALE
Gentoo,Biscoe,45.8,14.2,219.0,4700.0,FEMALE
Gentoo,Biscoe,49.8,16.8,230.0,5700.0,MALE
Gentoo,Biscoe,46.2,14.4,214.0,4650.0,
Gentoo,Biscoe,49.5,16.2,229.0,5800.0,MALE
Gentoo,Biscoe,43.5,14.2,220.0,4700.0,FEMALE
Gentoo,Biscoe,50.7,15.0,223.0,5550.0,MALE
Gentoo,Biscoe,47.7,15.0,216.0,4750.0,FEMALE
Gentoo,Biscoe,46.4,15.6,221.0,5000.0,MALE
Gentoo,Biscoe,48.2,15.6,221.0,5100.0,MALE
Gentoo,Biscoe,46.5,14.8,217.0,5200.0,FEMALE
Gentoo,Biscoe,46.4,15.0,216.0,4700.0,FEMALE
Gentoo,Biscoe,48.6,16.0,230.0,5800.0,MALE
Gentoo,Biscoe,47.5,14.2,209.0,4600.0,FEMALE
Gentoo,Biscoe,51.1,16.3,220.0,6000.0,MALE
Gentoo,Biscoe,45.2,13.8,215.0,4750.0,FEMALE
Gentoo,Biscoe,45.2,16.4,223.0,5950.0,MALE
Gentoo,Biscoe,49.1,14.5,212.0,4625.0,FEMALE
Gentoo,Biscoe,52.5,15.6,221.0,5450.0,MALE
Gentoo,Biscoe,47.4,14.6,212.0,4725.0,FEMALE
Gentoo,Biscoe,50.0,15.9,224.0,5350.0,MALE
Gentoo,Biscoe,44.9,13.8,212.0,4750.0,FEMALE
Gentoo,Biscoe,50.8,17.3,228.0,5600.0,MALE
Gentoo,Biscoe,43.4,14.4,218.0,4600.0,FEMALE
Gentoo,Biscoe,51.3,14.2,218.0,5300.0,MALE
Gentoo,Biscoe,47.5,14.0,212.0,4875.0,FEMALE
Gentoo,Biscoe,52.1,17.0,230.0,5550.0,MALE
Gentoo,Biscoe,47.5,15.0,218.0,4950.0,FEMALE
Gentoo,Biscoe,52.2,17.1,228.0,5400.0,MALE
Gentoo,Biscoe,45.5,14.5,212.0,4750.0,FEMALE
Gentoo,Biscoe,49.5,16.1,224.0,5650.0,MALE
Gentoo,Biscoe,44.5,14.7,214.0,4850.0,FEMALE
Gentoo,Biscoe,50.8,15.7,226.0,5200.0,MALE
Gentoo,Biscoe,49.4,15.8,216.0,4925.0,MALE
Gentoo,Biscoe,46.9,14.6,222.0,4875.0,FEMALE
Gentoo,Biscoe,48.4,14.4,203.0,4625.0,FEMALE
Gentoo,Biscoe,51.1,16.5,225.0,5250.0,MALE
Gentoo,Biscoe,48.5,15.0,219.0,4850.0,FEMALE
Gentoo,Biscoe,55.9,17.0,228.0,5600.0,MALE
Gentoo,Biscoe,47.2,15.5,215.0,4975.0,FEMALE
Gentoo,Biscoe,49.1,15.0,228.0,5500.0,MALE
Gentoo,Biscoe,47.3,13.8,216.0,4725.0,
Gentoo,Biscoe,46.8,16.1,215.0,5500.0,MALE
Gentoo,Biscoe,41.7,14.7,210.0,4700.0,FEMALE
Gentoo,Biscoe,53.4,15.8,219.0,5500.0,MALE
Gentoo,Biscoe,43.3,14.0,208.0,4575.0,FEMALE
Gentoo,Biscoe,48.1,15.1,209.0,5500.0,MALE
Gentoo,Biscoe,50.5,15.2,216.0,5000.0,FEMALE
Gentoo,Biscoe,49.8,15.9,229.0,5950.0,MALE
Gentoo,Biscoe,43.5,15.2,213.0,4650.0,FEMALE
Gentoo,Biscoe,51.5,16.3,230.0,5500.0,MALE
Gentoo,Biscoe,46.2,14.1,217.0,4375.0,FEMALE
Gentoo,Biscoe,55.1,16.0,230.0,5850.0,MALE
Gentoo,Biscoe,44.5,15.7,217.0,4875.0,
Gentoo,Biscoe,48.8,16.2,222.0,6000.0,MALE
Gentoo,Biscoe,47.2,13.7,214.0,4925.0,FEMALE
Gentoo,Biscoe,,,,,
Gentoo,Biscoe,46.8,14.3,215.0,4850.0,FEMALE
Gentoo,Biscoe,50.4,15.7,222.0,5750.0,MALE
Gentoo,Biscoe,45.2,14.8,212.0,5200.0,FEMALE
Gentoo,Biscoe,49.9,16.1,213.0,5400.0,MALE
1 species island culmen_length_mm culmen_depth_mm flipper_length_mm body_mass_g sex
2 Adelie Torgersen 39.1 18.7 181.0 3750.0 MALE
3 Adelie Torgersen 39.5 17.4 186.0 3800.0 FEMALE
4 Adelie Torgersen 40.3 18.0 195.0 3250.0 FEMALE
5 Adelie Torgersen
6 Adelie Torgersen 36.7 19.3 193.0 3450.0 FEMALE
7 Adelie Torgersen 39.3 20.6 190.0 3650.0 MALE
8 Adelie Torgersen 38.9 17.8 181.0 3625.0 FEMALE
9 Adelie Torgersen 39.2 19.6 195.0 4675.0 MALE
10 Adelie Torgersen 34.1 18.1 193.0 3475.0
11 Adelie Torgersen 42.0 20.2 190.0 4250.0
12 Adelie Torgersen 37.8 17.1 186.0 3300.0
13 Adelie Torgersen 37.8 17.3 180.0 3700.0
14 Adelie Torgersen 41.1 17.6 182.0 3200.0 FEMALE
15 Adelie Torgersen 38.6 21.2 191.0 3800.0 MALE
16 Adelie Torgersen 34.6 21.1 198.0 4400.0 MALE
17 Adelie Torgersen 36.6 17.8 185.0 3700.0 FEMALE
18 Adelie Torgersen 38.7 19.0 195.0 3450.0 FEMALE
19 Adelie Torgersen 42.5 20.7 197.0 4500.0 MALE
20 Adelie Torgersen 34.4 18.4 184.0 3325.0 FEMALE
21 Adelie Torgersen 46.0 21.5 194.0 4200.0 MALE
22 Adelie Biscoe 37.8 18.3 174.0 3400.0 FEMALE
23 Adelie Biscoe 37.7 18.7 180.0 3600.0 MALE
24 Adelie Biscoe 35.9 19.2 189.0 3800.0 FEMALE
25 Adelie Biscoe 38.2 18.1 185.0 3950.0 MALE
26 Adelie Biscoe 38.8 17.2 180.0 3800.0 MALE
27 Adelie Biscoe 35.3 18.9 187.0 3800.0 FEMALE
28 Adelie Biscoe 40.6 18.6 183.0 3550.0 MALE
29 Adelie Biscoe 40.5 17.9 187.0 3200.0 FEMALE
30 Adelie Biscoe 37.9 18.6 172.0 3150.0 FEMALE
31 Adelie Biscoe 40.5 18.9 180.0 3950.0 MALE
32 Adelie Dream 39.5 16.7 178.0 3250.0 FEMALE
33 Adelie Dream 37.2 18.1 178.0 3900.0 MALE
34 Adelie Dream 39.5 17.8 188.0 3300.0 FEMALE
35 Adelie Dream 40.9 18.9 184.0 3900.0 MALE
36 Adelie Dream 36.4 17.0 195.0 3325.0 FEMALE
37 Adelie Dream 39.2 21.1 196.0 4150.0 MALE
38 Adelie Dream 38.8 20.0 190.0 3950.0 MALE
39 Adelie Dream 42.2 18.5 180.0 3550.0 FEMALE
40 Adelie Dream 37.6 19.3 181.0 3300.0 FEMALE
41 Adelie Dream 39.8 19.1 184.0 4650.0 MALE
42 Adelie Dream 36.5 18.0 182.0 3150.0 FEMALE
43 Adelie Dream 40.8 18.4 195.0 3900.0 MALE
44 Adelie Dream 36.0 18.5 186.0 3100.0 FEMALE
45 Adelie Dream 44.1 19.7 196.0 4400.0 MALE
46 Adelie Dream 37.0 16.9 185.0 3000.0 FEMALE
47 Adelie Dream 39.6 18.8 190.0 4600.0 MALE
48 Adelie Dream 41.1 19.0 182.0 3425.0 MALE
49 Adelie Dream 37.5 18.9 179.0 2975.0
50 Adelie Dream 36.0 17.9 190.0 3450.0 FEMALE
51 Adelie Dream 42.3 21.2 191.0 4150.0 MALE
52 Adelie Biscoe 39.6 17.7 186.0 3500.0 FEMALE
53 Adelie Biscoe 40.1 18.9 188.0 4300.0 MALE
54 Adelie Biscoe 35.0 17.9 190.0 3450.0 FEMALE
55 Adelie Biscoe 42.0 19.5 200.0 4050.0 MALE
56 Adelie Biscoe 34.5 18.1 187.0 2900.0 FEMALE
57 Adelie Biscoe 41.4 18.6 191.0 3700.0 MALE
58 Adelie Biscoe 39.0 17.5 186.0 3550.0 FEMALE
59 Adelie Biscoe 40.6 18.8 193.0 3800.0 MALE
60 Adelie Biscoe 36.5 16.6 181.0 2850.0 FEMALE
61 Adelie Biscoe 37.6 19.1 194.0 3750.0 MALE
62 Adelie Biscoe 35.7 16.9 185.0 3150.0 FEMALE
63 Adelie Biscoe 41.3 21.1 195.0 4400.0 MALE
64 Adelie Biscoe 37.6 17.0 185.0 3600.0 FEMALE
65 Adelie Biscoe 41.1 18.2 192.0 4050.0 MALE
66 Adelie Biscoe 36.4 17.1 184.0 2850.0 FEMALE
67 Adelie Biscoe 41.6 18.0 192.0 3950.0 MALE
68 Adelie Biscoe 35.5 16.2 195.0 3350.0 FEMALE
69 Adelie Biscoe 41.1 19.1 188.0 4100.0 MALE
70 Adelie Torgersen 35.9 16.6 190.0 3050.0 FEMALE
71 Adelie Torgersen 41.8 19.4 198.0 4450.0 MALE
72 Adelie Torgersen 33.5 19.0 190.0 3600.0 FEMALE
73 Adelie Torgersen 39.7 18.4 190.0 3900.0 MALE
74 Adelie Torgersen 39.6 17.2 196.0 3550.0 FEMALE
75 Adelie Torgersen 45.8 18.9 197.0 4150.0 MALE
76 Adelie Torgersen 35.5 17.5 190.0 3700.0 FEMALE
77 Adelie Torgersen 42.8 18.5 195.0 4250.0 MALE
78 Adelie Torgersen 40.9 16.8 191.0 3700.0 FEMALE
79 Adelie Torgersen 37.2 19.4 184.0 3900.0 MALE
80 Adelie Torgersen 36.2 16.1 187.0 3550.0 FEMALE
81 Adelie Torgersen 42.1 19.1 195.0 4000.0 MALE
82 Adelie Torgersen 34.6 17.2 189.0 3200.0 FEMALE
83 Adelie Torgersen 42.9 17.6 196.0 4700.0 MALE
84 Adelie Torgersen 36.7 18.8 187.0 3800.0 FEMALE
85 Adelie Torgersen 35.1 19.4 193.0 4200.0 MALE
86 Adelie Dream 37.3 17.8 191.0 3350.0 FEMALE
87 Adelie Dream 41.3 20.3 194.0 3550.0 MALE
88 Adelie Dream 36.3 19.5 190.0 3800.0 MALE
89 Adelie Dream 36.9 18.6 189.0 3500.0 FEMALE
90 Adelie Dream 38.3 19.2 189.0 3950.0 MALE
91 Adelie Dream 38.9 18.8 190.0 3600.0 FEMALE
92 Adelie Dream 35.7 18.0 202.0 3550.0 FEMALE
93 Adelie Dream 41.1 18.1 205.0 4300.0 MALE
94 Adelie Dream 34.0 17.1 185.0 3400.0 FEMALE
95 Adelie Dream 39.6 18.1 186.0 4450.0 MALE
96 Adelie Dream 36.2 17.3 187.0 3300.0 FEMALE
97 Adelie Dream 40.8 18.9 208.0 4300.0 MALE
98 Adelie Dream 38.1 18.6 190.0 3700.0 FEMALE
99 Adelie Dream 40.3 18.5 196.0 4350.0 MALE
100 Adelie Dream 33.1 16.1 178.0 2900.0 FEMALE
101 Adelie Dream 43.2 18.5 192.0 4100.0 MALE
102 Adelie Biscoe 35.0 17.9 192.0 3725.0 FEMALE
103 Adelie Biscoe 41.0 20.0 203.0 4725.0 MALE
104 Adelie Biscoe 37.7 16.0 183.0 3075.0 FEMALE
105 Adelie Biscoe 37.8 20.0 190.0 4250.0 MALE
106 Adelie Biscoe 37.9 18.6 193.0 2925.0 FEMALE
107 Adelie Biscoe 39.7 18.9 184.0 3550.0 MALE
108 Adelie Biscoe 38.6 17.2 199.0 3750.0 FEMALE
109 Adelie Biscoe 38.2 20.0 190.0 3900.0 MALE
110 Adelie Biscoe 38.1 17.0 181.0 3175.0 FEMALE
111 Adelie Biscoe 43.2 19.0 197.0 4775.0 MALE
112 Adelie Biscoe 38.1 16.5 198.0 3825.0 FEMALE
113 Adelie Biscoe 45.6 20.3 191.0 4600.0 MALE
114 Adelie Biscoe 39.7 17.7 193.0 3200.0 FEMALE
115 Adelie Biscoe 42.2 19.5 197.0 4275.0 MALE
116 Adelie Biscoe 39.6 20.7 191.0 3900.0 FEMALE
117 Adelie Biscoe 42.7 18.3 196.0 4075.0 MALE
118 Adelie Torgersen 38.6 17.0 188.0 2900.0 FEMALE
119 Adelie Torgersen 37.3 20.5 199.0 3775.0 MALE
120 Adelie Torgersen 35.7 17.0 189.0 3350.0 FEMALE
121 Adelie Torgersen 41.1 18.6 189.0 3325.0 MALE
122 Adelie Torgersen 36.2 17.2 187.0 3150.0 FEMALE
123 Adelie Torgersen 37.7 19.8 198.0 3500.0 MALE
124 Adelie Torgersen 40.2 17.0 176.0 3450.0 FEMALE
125 Adelie Torgersen 41.4 18.5 202.0 3875.0 MALE
126 Adelie Torgersen 35.2 15.9 186.0 3050.0 FEMALE
127 Adelie Torgersen 40.6 19.0 199.0 4000.0 MALE
128 Adelie Torgersen 38.8 17.6 191.0 3275.0 FEMALE
129 Adelie Torgersen 41.5 18.3 195.0 4300.0 MALE
130 Adelie Torgersen 39.0 17.1 191.0 3050.0 FEMALE
131 Adelie Torgersen 44.1 18.0 210.0 4000.0 MALE
132 Adelie Torgersen 38.5 17.9 190.0 3325.0 FEMALE
133 Adelie Torgersen 43.1 19.2 197.0 3500.0 MALE
134 Adelie Dream 36.8 18.5 193.0 3500.0 FEMALE
135 Adelie Dream 37.5 18.5 199.0 4475.0 MALE
136 Adelie Dream 38.1 17.6 187.0 3425.0 FEMALE
137 Adelie Dream 41.1 17.5 190.0 3900.0 MALE
138 Adelie Dream 35.6 17.5 191.0 3175.0 FEMALE
139 Adelie Dream 40.2 20.1 200.0 3975.0 MALE
140 Adelie Dream 37.0 16.5 185.0 3400.0 FEMALE
141 Adelie Dream 39.7 17.9 193.0 4250.0 MALE
142 Adelie Dream 40.2 17.1 193.0 3400.0 FEMALE
143 Adelie Dream 40.6 17.2 187.0 3475.0 MALE
144 Adelie Dream 32.1 15.5 188.0 3050.0 FEMALE
145 Adelie Dream 40.7 17.0 190.0 3725.0 MALE
146 Adelie Dream 37.3 16.8 192.0 3000.0 FEMALE
147 Adelie Dream 39.0 18.7 185.0 3650.0 MALE
148 Adelie Dream 39.2 18.6 190.0 4250.0 MALE
149 Adelie Dream 36.6 18.4 184.0 3475.0 FEMALE
150 Adelie Dream 36.0 17.8 195.0 3450.0 FEMALE
151 Adelie Dream 37.8 18.1 193.0 3750.0 MALE
152 Adelie Dream 36.0 17.1 187.0 3700.0 FEMALE
153 Adelie Dream 41.5 18.5 201.0 4000.0 MALE
154 Chinstrap Dream 46.5 17.9 192.0 3500.0 FEMALE
155 Chinstrap Dream 50.0 19.5 196.0 3900.0 MALE
156 Chinstrap Dream 51.3 19.2 193.0 3650.0 MALE
157 Chinstrap Dream 45.4 18.7 188.0 3525.0 FEMALE
158 Chinstrap Dream 52.7 19.8 197.0 3725.0 MALE
159 Chinstrap Dream 45.2 17.8 198.0 3950.0 FEMALE
160 Chinstrap Dream 46.1 18.2 178.0 3250.0 FEMALE
161 Chinstrap Dream 51.3 18.2 197.0 3750.0 MALE
162 Chinstrap Dream 46.0 18.9 195.0 4150.0 FEMALE
163 Chinstrap Dream 51.3 19.9 198.0 3700.0 MALE
164 Chinstrap Dream 46.6 17.8 193.0 3800.0 FEMALE
165 Chinstrap Dream 51.7 20.3 194.0 3775.0 MALE
166 Chinstrap Dream 47.0 17.3 185.0 3700.0 FEMALE
167 Chinstrap Dream 52.0 18.1 201.0 4050.0 MALE
168 Chinstrap Dream 45.9 17.1 190.0 3575.0 FEMALE
169 Chinstrap Dream 50.5 19.6 201.0 4050.0 MALE
170 Chinstrap Dream 50.3 20.0 197.0 3300.0 MALE
171 Chinstrap Dream 58.0 17.8 181.0 3700.0 FEMALE
172 Chinstrap Dream 46.4 18.6 190.0 3450.0 FEMALE
173 Chinstrap Dream 49.2 18.2 195.0 4400.0 MALE
174 Chinstrap Dream 42.4 17.3 181.0 3600.0 FEMALE
175 Chinstrap Dream 48.5 17.5 191.0 3400.0 MALE
176 Chinstrap Dream 43.2 16.6 187.0 2900.0 FEMALE
177 Chinstrap Dream 50.6 19.4 193.0 3800.0 MALE
178 Chinstrap Dream 46.7 17.9 195.0 3300.0 FEMALE
179 Chinstrap Dream 52.0 19.0 197.0 4150.0 MALE
180 Chinstrap Dream 50.5 18.4 200.0 3400.0 FEMALE
181 Chinstrap Dream 49.5 19.0 200.0 3800.0 MALE
182 Chinstrap Dream 46.4 17.8 191.0 3700.0 FEMALE
183 Chinstrap Dream 52.8 20.0 205.0 4550.0 MALE
184 Chinstrap Dream 40.9 16.6 187.0 3200.0 FEMALE
185 Chinstrap Dream 54.2 20.8 201.0 4300.0 MALE
186 Chinstrap Dream 42.5 16.7 187.0 3350.0 FEMALE
187 Chinstrap Dream 51.0 18.8 203.0 4100.0 MALE
188 Chinstrap Dream 49.7 18.6 195.0 3600.0 MALE
189 Chinstrap Dream 47.5 16.8 199.0 3900.0 FEMALE
190 Chinstrap Dream 47.6 18.3 195.0 3850.0 FEMALE
191 Chinstrap Dream 52.0 20.7 210.0 4800.0 MALE
192 Chinstrap Dream 46.9 16.6 192.0 2700.0 FEMALE
193 Chinstrap Dream 53.5 19.9 205.0 4500.0 MALE
194 Chinstrap Dream 49.0 19.5 210.0 3950.0 MALE
195 Chinstrap Dream 46.2 17.5 187.0 3650.0 FEMALE
196 Chinstrap Dream 50.9 19.1 196.0 3550.0 MALE
197 Chinstrap Dream 45.5 17.0 196.0 3500.0 FEMALE
198 Chinstrap Dream 50.9 17.9 196.0 3675.0 FEMALE
199 Chinstrap Dream 50.8 18.5 201.0 4450.0 MALE
200 Chinstrap Dream 50.1 17.9 190.0 3400.0 FEMALE
201 Chinstrap Dream 49.0 19.6 212.0 4300.0 MALE
202 Chinstrap Dream 51.5 18.7 187.0 3250.0 MALE
203 Chinstrap Dream 49.8 17.3 198.0 3675.0 FEMALE
204 Chinstrap Dream 48.1 16.4 199.0 3325.0 FEMALE
205 Chinstrap Dream 51.4 19.0 201.0 3950.0 MALE
206 Chinstrap Dream 45.7 17.3 193.0 3600.0 FEMALE
207 Chinstrap Dream 50.7 19.7 203.0 4050.0 MALE
208 Chinstrap Dream 42.5 17.3 187.0 3350.0 FEMALE
209 Chinstrap Dream 52.2 18.8 197.0 3450.0 MALE
210 Chinstrap Dream 45.2 16.6 191.0 3250.0 FEMALE
211 Chinstrap Dream 49.3 19.9 203.0 4050.0 MALE
212 Chinstrap Dream 50.2 18.8 202.0 3800.0 MALE
213 Chinstrap Dream 45.6 19.4 194.0 3525.0 FEMALE
214 Chinstrap Dream 51.9 19.5 206.0 3950.0 MALE
215 Chinstrap Dream 46.8 16.5 189.0 3650.0 FEMALE
216 Chinstrap Dream 45.7 17.0 195.0 3650.0 FEMALE
217 Chinstrap Dream 55.8 19.8 207.0 4000.0 MALE
218 Chinstrap Dream 43.5 18.1 202.0 3400.0 FEMALE
219 Chinstrap Dream 49.6 18.2 193.0 3775.0 MALE
220 Chinstrap Dream 50.8 19.0 210.0 4100.0 MALE
221 Chinstrap Dream 50.2 18.7 198.0 3775.0 FEMALE
222 Gentoo Biscoe 46.1 13.2 211.0 4500.0 FEMALE
223 Gentoo Biscoe 50.0 16.3 230.0 5700.0 MALE
224 Gentoo Biscoe 48.7 14.1 210.0 4450.0 FEMALE
225 Gentoo Biscoe 50.0 15.2 218.0 5700.0 MALE
226 Gentoo Biscoe 47.6 14.5 215.0 5400.0 MALE
227 Gentoo Biscoe 46.5 13.5 210.0 4550.0 FEMALE
228 Gentoo Biscoe 45.4 14.6 211.0 4800.0 FEMALE
229 Gentoo Biscoe 46.7 15.3 219.0 5200.0 MALE
230 Gentoo Biscoe 43.3 13.4 209.0 4400.0 FEMALE
231 Gentoo Biscoe 46.8 15.4 215.0 5150.0 MALE
232 Gentoo Biscoe 40.9 13.7 214.0 4650.0 FEMALE
233 Gentoo Biscoe 49.0 16.1 216.0 5550.0 MALE
234 Gentoo Biscoe 45.5 13.7 214.0 4650.0 FEMALE
235 Gentoo Biscoe 48.4 14.6 213.0 5850.0 MALE
236 Gentoo Biscoe 45.8 14.6 210.0 4200.0 FEMALE
237 Gentoo Biscoe 49.3 15.7 217.0 5850.0 MALE
238 Gentoo Biscoe 42.0 13.5 210.0 4150.0 FEMALE
239 Gentoo Biscoe 49.2 15.2 221.0 6300.0 MALE
240 Gentoo Biscoe 46.2 14.5 209.0 4800.0 FEMALE
241 Gentoo Biscoe 48.7 15.1 222.0 5350.0 MALE
242 Gentoo Biscoe 50.2 14.3 218.0 5700.0 MALE
243 Gentoo Biscoe 45.1 14.5 215.0 5000.0 FEMALE
244 Gentoo Biscoe 46.5 14.5 213.0 4400.0 FEMALE
245 Gentoo Biscoe 46.3 15.8 215.0 5050.0 MALE
246 Gentoo Biscoe 42.9 13.1 215.0 5000.0 FEMALE
247 Gentoo Biscoe 46.1 15.1 215.0 5100.0 MALE
248 Gentoo Biscoe 44.5 14.3 216.0 4100.0
249 Gentoo Biscoe 47.8 15.0 215.0 5650.0 MALE
250 Gentoo Biscoe 48.2 14.3 210.0 4600.0 FEMALE
251 Gentoo Biscoe 50.0 15.3 220.0 5550.0 MALE
252 Gentoo Biscoe 47.3 15.3 222.0 5250.0 MALE
253 Gentoo Biscoe 42.8 14.2 209.0 4700.0 FEMALE
254 Gentoo Biscoe 45.1 14.5 207.0 5050.0 FEMALE
255 Gentoo Biscoe 59.6 17.0 230.0 6050.0 MALE
256 Gentoo Biscoe 49.1 14.8 220.0 5150.0 FEMALE
257 Gentoo Biscoe 48.4 16.3 220.0 5400.0 MALE
258 Gentoo Biscoe 42.6 13.7 213.0 4950.0 FEMALE
259 Gentoo Biscoe 44.4 17.3 219.0 5250.0 MALE
260 Gentoo Biscoe 44.0 13.6 208.0 4350.0 FEMALE
261 Gentoo Biscoe 48.7 15.7 208.0 5350.0 MALE
262 Gentoo Biscoe 42.7 13.7 208.0 3950.0 FEMALE
263 Gentoo Biscoe 49.6 16.0 225.0 5700.0 MALE
264 Gentoo Biscoe 45.3 13.7 210.0 4300.0 FEMALE
265 Gentoo Biscoe 49.6 15.0 216.0 4750.0 MALE
266 Gentoo Biscoe 50.5 15.9 222.0 5550.0 MALE
267 Gentoo Biscoe 43.6 13.9 217.0 4900.0 FEMALE
268 Gentoo Biscoe 45.5 13.9 210.0 4200.0 FEMALE
269 Gentoo Biscoe 50.5 15.9 225.0 5400.0 MALE
270 Gentoo Biscoe 44.9 13.3 213.0 5100.0 FEMALE
271 Gentoo Biscoe 45.2 15.8 215.0 5300.0 MALE
272 Gentoo Biscoe 46.6 14.2 210.0 4850.0 FEMALE
273 Gentoo Biscoe 48.5 14.1 220.0 5300.0 MALE
274 Gentoo Biscoe 45.1 14.4 210.0 4400.0 FEMALE
275 Gentoo Biscoe 50.1 15.0 225.0 5000.0 MALE
276 Gentoo Biscoe 46.5 14.4 217.0 4900.0 FEMALE
277 Gentoo Biscoe 45.0 15.4 220.0 5050.0 MALE
278 Gentoo Biscoe 43.8 13.9 208.0 4300.0 FEMALE
279 Gentoo Biscoe 45.5 15.0 220.0 5000.0 MALE
280 Gentoo Biscoe 43.2 14.5 208.0 4450.0 FEMALE
281 Gentoo Biscoe 50.4 15.3 224.0 5550.0 MALE
282 Gentoo Biscoe 45.3 13.8 208.0 4200.0 FEMALE
283 Gentoo Biscoe 46.2 14.9 221.0 5300.0 MALE
284 Gentoo Biscoe 45.7 13.9 214.0 4400.0 FEMALE
285 Gentoo Biscoe 54.3 15.7 231.0 5650.0 MALE
286 Gentoo Biscoe 45.8 14.2 219.0 4700.0 FEMALE
287 Gentoo Biscoe 49.8 16.8 230.0 5700.0 MALE
288 Gentoo Biscoe 46.2 14.4 214.0 4650.0
289 Gentoo Biscoe 49.5 16.2 229.0 5800.0 MALE
290 Gentoo Biscoe 43.5 14.2 220.0 4700.0 FEMALE
291 Gentoo Biscoe 50.7 15.0 223.0 5550.0 MALE
292 Gentoo Biscoe 47.7 15.0 216.0 4750.0 FEMALE
293 Gentoo Biscoe 46.4 15.6 221.0 5000.0 MALE
294 Gentoo Biscoe 48.2 15.6 221.0 5100.0 MALE
295 Gentoo Biscoe 46.5 14.8 217.0 5200.0 FEMALE
296 Gentoo Biscoe 46.4 15.0 216.0 4700.0 FEMALE
297 Gentoo Biscoe 48.6 16.0 230.0 5800.0 MALE
298 Gentoo Biscoe 47.5 14.2 209.0 4600.0 FEMALE
299 Gentoo Biscoe 51.1 16.3 220.0 6000.0 MALE
300 Gentoo Biscoe 45.2 13.8 215.0 4750.0 FEMALE
301 Gentoo Biscoe 45.2 16.4 223.0 5950.0 MALE
302 Gentoo Biscoe 49.1 14.5 212.0 4625.0 FEMALE
303 Gentoo Biscoe 52.5 15.6 221.0 5450.0 MALE
304 Gentoo Biscoe 47.4 14.6 212.0 4725.0 FEMALE
305 Gentoo Biscoe 50.0 15.9 224.0 5350.0 MALE
306 Gentoo Biscoe 44.9 13.8 212.0 4750.0 FEMALE
307 Gentoo Biscoe 50.8 17.3 228.0 5600.0 MALE
308 Gentoo Biscoe 43.4 14.4 218.0 4600.0 FEMALE
309 Gentoo Biscoe 51.3 14.2 218.0 5300.0 MALE
310 Gentoo Biscoe 47.5 14.0 212.0 4875.0 FEMALE
311 Gentoo Biscoe 52.1 17.0 230.0 5550.0 MALE
312 Gentoo Biscoe 47.5 15.0 218.0 4950.0 FEMALE
313 Gentoo Biscoe 52.2 17.1 228.0 5400.0 MALE
314 Gentoo Biscoe 45.5 14.5 212.0 4750.0 FEMALE
315 Gentoo Biscoe 49.5 16.1 224.0 5650.0 MALE
316 Gentoo Biscoe 44.5 14.7 214.0 4850.0 FEMALE
317 Gentoo Biscoe 50.8 15.7 226.0 5200.0 MALE
318 Gentoo Biscoe 49.4 15.8 216.0 4925.0 MALE
319 Gentoo Biscoe 46.9 14.6 222.0 4875.0 FEMALE
320 Gentoo Biscoe 48.4 14.4 203.0 4625.0 FEMALE
321 Gentoo Biscoe 51.1 16.5 225.0 5250.0 MALE
322 Gentoo Biscoe 48.5 15.0 219.0 4850.0 FEMALE
323 Gentoo Biscoe 55.9 17.0 228.0 5600.0 MALE
324 Gentoo Biscoe 47.2 15.5 215.0 4975.0 FEMALE
325 Gentoo Biscoe 49.1 15.0 228.0 5500.0 MALE
326 Gentoo Biscoe 47.3 13.8 216.0 4725.0
327 Gentoo Biscoe 46.8 16.1 215.0 5500.0 MALE
328 Gentoo Biscoe 41.7 14.7 210.0 4700.0 FEMALE
329 Gentoo Biscoe 53.4 15.8 219.0 5500.0 MALE
330 Gentoo Biscoe 43.3 14.0 208.0 4575.0 FEMALE
331 Gentoo Biscoe 48.1 15.1 209.0 5500.0 MALE
332 Gentoo Biscoe 50.5 15.2 216.0 5000.0 FEMALE
333 Gentoo Biscoe 49.8 15.9 229.0 5950.0 MALE
334 Gentoo Biscoe 43.5 15.2 213.0 4650.0 FEMALE
335 Gentoo Biscoe 51.5 16.3 230.0 5500.0 MALE
336 Gentoo Biscoe 46.2 14.1 217.0 4375.0 FEMALE
337 Gentoo Biscoe 55.1 16.0 230.0 5850.0 MALE
338 Gentoo Biscoe 44.5 15.7 217.0 4875.0
339 Gentoo Biscoe 48.8 16.2 222.0 6000.0 MALE
340 Gentoo Biscoe 47.2 13.7 214.0 4925.0 FEMALE
341 Gentoo Biscoe
342 Gentoo Biscoe 46.8 14.3 215.0 4850.0 FEMALE
343 Gentoo Biscoe 50.4 15.7 222.0 5750.0 MALE
344 Gentoo Biscoe 45.2 14.8 212.0 5200.0 FEMALE
345 Gentoo Biscoe 49.9 16.1 213.0 5400.0 MALE

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@ -0,0 +1,801 @@
#,Name,Type 1,Type 2,Total,HP,Attack,Defense,Sp. Atk,Sp. Def,Speed,Generation,Legendary
1,Bulbasaur,Grass,Poison,318,45,49,49,65,65,45,1,False
2,Ivysaur,Grass,Poison,405,60,62,63,80,80,60,1,False
3,Venusaur,Grass,Poison,525,80,82,83,100,100,80,1,False
3,VenusaurMega Venusaur,Grass,Poison,625,80,100,123,122,120,80,1,False
4,Charmander,Fire,,309,39,52,43,60,50,65,1,False
5,Charmeleon,Fire,,405,58,64,58,80,65,80,1,False
6,Charizard,Fire,Flying,534,78,84,78,109,85,100,1,False
6,CharizardMega Charizard X,Fire,Dragon,634,78,130,111,130,85,100,1,False
6,CharizardMega Charizard Y,Fire,Flying,634,78,104,78,159,115,100,1,False
7,Squirtle,Water,,314,44,48,65,50,64,43,1,False
8,Wartortle,Water,,405,59,63,80,65,80,58,1,False
9,Blastoise,Water,,530,79,83,100,85,105,78,1,False
9,BlastoiseMega Blastoise,Water,,630,79,103,120,135,115,78,1,False
10,Caterpie,Bug,,195,45,30,35,20,20,45,1,False
11,Metapod,Bug,,205,50,20,55,25,25,30,1,False
12,Butterfree,Bug,Flying,395,60,45,50,90,80,70,1,False
13,Weedle,Bug,Poison,195,40,35,30,20,20,50,1,False
14,Kakuna,Bug,Poison,205,45,25,50,25,25,35,1,False
15,Beedrill,Bug,Poison,395,65,90,40,45,80,75,1,False
15,BeedrillMega Beedrill,Bug,Poison,495,65,150,40,15,80,145,1,False
16,Pidgey,Normal,Flying,251,40,45,40,35,35,56,1,False
17,Pidgeotto,Normal,Flying,349,63,60,55,50,50,71,1,False
18,Pidgeot,Normal,Flying,479,83,80,75,70,70,101,1,False
18,PidgeotMega Pidgeot,Normal,Flying,579,83,80,80,135,80,121,1,False
19,Rattata,Normal,,253,30,56,35,25,35,72,1,False
20,Raticate,Normal,,413,55,81,60,50,70,97,1,False
21,Spearow,Normal,Flying,262,40,60,30,31,31,70,1,False
22,Fearow,Normal,Flying,442,65,90,65,61,61,100,1,False
23,Ekans,Poison,,288,35,60,44,40,54,55,1,False
24,Arbok,Poison,,438,60,85,69,65,79,80,1,False
25,Pikachu,Electric,,320,35,55,40,50,50,90,1,False
26,Raichu,Electric,,485,60,90,55,90,80,110,1,False
27,Sandshrew,Ground,,300,50,75,85,20,30,40,1,False
28,Sandslash,Ground,,450,75,100,110,45,55,65,1,False
29,Nidoran♀,Poison,,275,55,47,52,40,40,41,1,False
30,Nidorina,Poison,,365,70,62,67,55,55,56,1,False
31,Nidoqueen,Poison,Ground,505,90,92,87,75,85,76,1,False
32,Nidoran♂,Poison,,273,46,57,40,40,40,50,1,False
33,Nidorino,Poison,,365,61,72,57,55,55,65,1,False
34,Nidoking,Poison,Ground,505,81,102,77,85,75,85,1,False
35,Clefairy,Fairy,,323,70,45,48,60,65,35,1,False
36,Clefable,Fairy,,483,95,70,73,95,90,60,1,False
37,Vulpix,Fire,,299,38,41,40,50,65,65,1,False
38,Ninetales,Fire,,505,73,76,75,81,100,100,1,False
39,Jigglypuff,Normal,Fairy,270,115,45,20,45,25,20,1,False
40,Wigglytuff,Normal,Fairy,435,140,70,45,85,50,45,1,False
41,Zubat,Poison,Flying,245,40,45,35,30,40,55,1,False
42,Golbat,Poison,Flying,455,75,80,70,65,75,90,1,False
43,Oddish,Grass,Poison,320,45,50,55,75,65,30,1,False
44,Gloom,Grass,Poison,395,60,65,70,85,75,40,1,False
45,Vileplume,Grass,Poison,490,75,80,85,110,90,50,1,False
46,Paras,Bug,Grass,285,35,70,55,45,55,25,1,False
47,Parasect,Bug,Grass,405,60,95,80,60,80,30,1,False
48,Venonat,Bug,Poison,305,60,55,50,40,55,45,1,False
49,Venomoth,Bug,Poison,450,70,65,60,90,75,90,1,False
50,Diglett,Ground,,265,10,55,25,35,45,95,1,False
51,Dugtrio,Ground,,405,35,80,50,50,70,120,1,False
52,Meowth,Normal,,290,40,45,35,40,40,90,1,False
53,Persian,Normal,,440,65,70,60,65,65,115,1,False
54,Psyduck,Water,,320,50,52,48,65,50,55,1,False
55,Golduck,Water,,500,80,82,78,95,80,85,1,False
56,Mankey,Fighting,,305,40,80,35,35,45,70,1,False
57,Primeape,Fighting,,455,65,105,60,60,70,95,1,False
58,Growlithe,Fire,,350,55,70,45,70,50,60,1,False
59,Arcanine,Fire,,555,90,110,80,100,80,95,1,False
60,Poliwag,Water,,300,40,50,40,40,40,90,1,False
61,Poliwhirl,Water,,385,65,65,65,50,50,90,1,False
62,Poliwrath,Water,Fighting,510,90,95,95,70,90,70,1,False
63,Abra,Psychic,,310,25,20,15,105,55,90,1,False
64,Kadabra,Psychic,,400,40,35,30,120,70,105,1,False
65,Alakazam,Psychic,,500,55,50,45,135,95,120,1,False
65,AlakazamMega Alakazam,Psychic,,590,55,50,65,175,95,150,1,False
66,Machop,Fighting,,305,70,80,50,35,35,35,1,False
67,Machoke,Fighting,,405,80,100,70,50,60,45,1,False
68,Machamp,Fighting,,505,90,130,80,65,85,55,1,False
69,Bellsprout,Grass,Poison,300,50,75,35,70,30,40,1,False
70,Weepinbell,Grass,Poison,390,65,90,50,85,45,55,1,False
71,Victreebel,Grass,Poison,490,80,105,65,100,70,70,1,False
72,Tentacool,Water,Poison,335,40,40,35,50,100,70,1,False
73,Tentacruel,Water,Poison,515,80,70,65,80,120,100,1,False
74,Geodude,Rock,Ground,300,40,80,100,30,30,20,1,False
75,Graveler,Rock,Ground,390,55,95,115,45,45,35,1,False
76,Golem,Rock,Ground,495,80,120,130,55,65,45,1,False
77,Ponyta,Fire,,410,50,85,55,65,65,90,1,False
78,Rapidash,Fire,,500,65,100,70,80,80,105,1,False
79,Slowpoke,Water,Psychic,315,90,65,65,40,40,15,1,False
80,Slowbro,Water,Psychic,490,95,75,110,100,80,30,1,False
80,SlowbroMega Slowbro,Water,Psychic,590,95,75,180,130,80,30,1,False
81,Magnemite,Electric,Steel,325,25,35,70,95,55,45,1,False
82,Magneton,Electric,Steel,465,50,60,95,120,70,70,1,False
83,Farfetch'd,Normal,Flying,352,52,65,55,58,62,60,1,False
84,Doduo,Normal,Flying,310,35,85,45,35,35,75,1,False
85,Dodrio,Normal,Flying,460,60,110,70,60,60,100,1,False
86,Seel,Water,,325,65,45,55,45,70,45,1,False
87,Dewgong,Water,Ice,475,90,70,80,70,95,70,1,False
88,Grimer,Poison,,325,80,80,50,40,50,25,1,False
89,Muk,Poison,,500,105,105,75,65,100,50,1,False
90,Shellder,Water,,305,30,65,100,45,25,40,1,False
91,Cloyster,Water,Ice,525,50,95,180,85,45,70,1,False
92,Gastly,Ghost,Poison,310,30,35,30,100,35,80,1,False
93,Haunter,Ghost,Poison,405,45,50,45,115,55,95,1,False
94,Gengar,Ghost,Poison,500,60,65,60,130,75,110,1,False
94,GengarMega Gengar,Ghost,Poison,600,60,65,80,170,95,130,1,False
95,Onix,Rock,Ground,385,35,45,160,30,45,70,1,False
96,Drowzee,Psychic,,328,60,48,45,43,90,42,1,False
97,Hypno,Psychic,,483,85,73,70,73,115,67,1,False
98,Krabby,Water,,325,30,105,90,25,25,50,1,False
99,Kingler,Water,,475,55,130,115,50,50,75,1,False
100,Voltorb,Electric,,330,40,30,50,55,55,100,1,False
101,Electrode,Electric,,480,60,50,70,80,80,140,1,False
102,Exeggcute,Grass,Psychic,325,60,40,80,60,45,40,1,False
103,Exeggutor,Grass,Psychic,520,95,95,85,125,65,55,1,False
104,Cubone,Ground,,320,50,50,95,40,50,35,1,False
105,Marowak,Ground,,425,60,80,110,50,80,45,1,False
106,Hitmonlee,Fighting,,455,50,120,53,35,110,87,1,False
107,Hitmonchan,Fighting,,455,50,105,79,35,110,76,1,False
108,Lickitung,Normal,,385,90,55,75,60,75,30,1,False
109,Koffing,Poison,,340,40,65,95,60,45,35,1,False
110,Weezing,Poison,,490,65,90,120,85,70,60,1,False
111,Rhyhorn,Ground,Rock,345,80,85,95,30,30,25,1,False
112,Rhydon,Ground,Rock,485,105,130,120,45,45,40,1,False
113,Chansey,Normal,,450,250,5,5,35,105,50,1,False
114,Tangela,Grass,,435,65,55,115,100,40,60,1,False
115,Kangaskhan,Normal,,490,105,95,80,40,80,90,1,False
115,KangaskhanMega Kangaskhan,Normal,,590,105,125,100,60,100,100,1,False
116,Horsea,Water,,295,30,40,70,70,25,60,1,False
117,Seadra,Water,,440,55,65,95,95,45,85,1,False
118,Goldeen,Water,,320,45,67,60,35,50,63,1,False
119,Seaking,Water,,450,80,92,65,65,80,68,1,False
120,Staryu,Water,,340,30,45,55,70,55,85,1,False
121,Starmie,Water,Psychic,520,60,75,85,100,85,115,1,False
122,Mr. Mime,Psychic,Fairy,460,40,45,65,100,120,90,1,False
123,Scyther,Bug,Flying,500,70,110,80,55,80,105,1,False
124,Jynx,Ice,Psychic,455,65,50,35,115,95,95,1,False
125,Electabuzz,Electric,,490,65,83,57,95,85,105,1,False
126,Magmar,Fire,,495,65,95,57,100,85,93,1,False
127,Pinsir,Bug,,500,65,125,100,55,70,85,1,False
127,PinsirMega Pinsir,Bug,Flying,600,65,155,120,65,90,105,1,False
128,Tauros,Normal,,490,75,100,95,40,70,110,1,False
129,Magikarp,Water,,200,20,10,55,15,20,80,1,False
130,Gyarados,Water,Flying,540,95,125,79,60,100,81,1,False
130,GyaradosMega Gyarados,Water,Dark,640,95,155,109,70,130,81,1,False
131,Lapras,Water,Ice,535,130,85,80,85,95,60,1,False
132,Ditto,Normal,,288,48,48,48,48,48,48,1,False
133,Eevee,Normal,,325,55,55,50,45,65,55,1,False
134,Vaporeon,Water,,525,130,65,60,110,95,65,1,False
135,Jolteon,Electric,,525,65,65,60,110,95,130,1,False
136,Flareon,Fire,,525,65,130,60,95,110,65,1,False
137,Porygon,Normal,,395,65,60,70,85,75,40,1,False
138,Omanyte,Rock,Water,355,35,40,100,90,55,35,1,False
139,Omastar,Rock,Water,495,70,60,125,115,70,55,1,False
140,Kabuto,Rock,Water,355,30,80,90,55,45,55,1,False
141,Kabutops,Rock,Water,495,60,115,105,65,70,80,1,False
142,Aerodactyl,Rock,Flying,515,80,105,65,60,75,130,1,False
142,AerodactylMega Aerodactyl,Rock,Flying,615,80,135,85,70,95,150,1,False
143,Snorlax,Normal,,540,160,110,65,65,110,30,1,False
144,Articuno,Ice,Flying,580,90,85,100,95,125,85,1,True
145,Zapdos,Electric,Flying,580,90,90,85,125,90,100,1,True
146,Moltres,Fire,Flying,580,90,100,90,125,85,90,1,True
147,Dratini,Dragon,,300,41,64,45,50,50,50,1,False
148,Dragonair,Dragon,,420,61,84,65,70,70,70,1,False
149,Dragonite,Dragon,Flying,600,91,134,95,100,100,80,1,False
150,Mewtwo,Psychic,,680,106,110,90,154,90,130,1,True
150,MewtwoMega Mewtwo X,Psychic,Fighting,780,106,190,100,154,100,130,1,True
150,MewtwoMega Mewtwo Y,Psychic,,780,106,150,70,194,120,140,1,True
151,Mew,Psychic,,600,100,100,100,100,100,100,1,False
152,Chikorita,Grass,,318,45,49,65,49,65,45,2,False
153,Bayleef,Grass,,405,60,62,80,63,80,60,2,False
154,Meganium,Grass,,525,80,82,100,83,100,80,2,False
155,Cyndaquil,Fire,,309,39,52,43,60,50,65,2,False
156,Quilava,Fire,,405,58,64,58,80,65,80,2,False
157,Typhlosion,Fire,,534,78,84,78,109,85,100,2,False
158,Totodile,Water,,314,50,65,64,44,48,43,2,False
159,Croconaw,Water,,405,65,80,80,59,63,58,2,False
160,Feraligatr,Water,,530,85,105,100,79,83,78,2,False
161,Sentret,Normal,,215,35,46,34,35,45,20,2,False
162,Furret,Normal,,415,85,76,64,45,55,90,2,False
163,Hoothoot,Normal,Flying,262,60,30,30,36,56,50,2,False
164,Noctowl,Normal,Flying,442,100,50,50,76,96,70,2,False
165,Ledyba,Bug,Flying,265,40,20,30,40,80,55,2,False
166,Ledian,Bug,Flying,390,55,35,50,55,110,85,2,False
167,Spinarak,Bug,Poison,250,40,60,40,40,40,30,2,False
168,Ariados,Bug,Poison,390,70,90,70,60,60,40,2,False
169,Crobat,Poison,Flying,535,85,90,80,70,80,130,2,False
170,Chinchou,Water,Electric,330,75,38,38,56,56,67,2,False
171,Lanturn,Water,Electric,460,125,58,58,76,76,67,2,False
172,Pichu,Electric,,205,20,40,15,35,35,60,2,False
173,Cleffa,Fairy,,218,50,25,28,45,55,15,2,False
174,Igglybuff,Normal,Fairy,210,90,30,15,40,20,15,2,False
175,Togepi,Fairy,,245,35,20,65,40,65,20,2,False
176,Togetic,Fairy,Flying,405,55,40,85,80,105,40,2,False
177,Natu,Psychic,Flying,320,40,50,45,70,45,70,2,False
178,Xatu,Psychic,Flying,470,65,75,70,95,70,95,2,False
179,Mareep,Electric,,280,55,40,40,65,45,35,2,False
180,Flaaffy,Electric,,365,70,55,55,80,60,45,2,False
181,Ampharos,Electric,,510,90,75,85,115,90,55,2,False
181,AmpharosMega Ampharos,Electric,Dragon,610,90,95,105,165,110,45,2,False
182,Bellossom,Grass,,490,75,80,95,90,100,50,2,False
183,Marill,Water,Fairy,250,70,20,50,20,50,40,2,False
184,Azumarill,Water,Fairy,420,100,50,80,60,80,50,2,False
185,Sudowoodo,Rock,,410,70,100,115,30,65,30,2,False
186,Politoed,Water,,500,90,75,75,90,100,70,2,False
187,Hoppip,Grass,Flying,250,35,35,40,35,55,50,2,False
188,Skiploom,Grass,Flying,340,55,45,50,45,65,80,2,False
189,Jumpluff,Grass,Flying,460,75,55,70,55,95,110,2,False
190,Aipom,Normal,,360,55,70,55,40,55,85,2,False
191,Sunkern,Grass,,180,30,30,30,30,30,30,2,False
192,Sunflora,Grass,,425,75,75,55,105,85,30,2,False
193,Yanma,Bug,Flying,390,65,65,45,75,45,95,2,False
194,Wooper,Water,Ground,210,55,45,45,25,25,15,2,False
195,Quagsire,Water,Ground,430,95,85,85,65,65,35,2,False
196,Espeon,Psychic,,525,65,65,60,130,95,110,2,False
197,Umbreon,Dark,,525,95,65,110,60,130,65,2,False
198,Murkrow,Dark,Flying,405,60,85,42,85,42,91,2,False
199,Slowking,Water,Psychic,490,95,75,80,100,110,30,2,False
200,Misdreavus,Ghost,,435,60,60,60,85,85,85,2,False
201,Unown,Psychic,,336,48,72,48,72,48,48,2,False
202,Wobbuffet,Psychic,,405,190,33,58,33,58,33,2,False
203,Girafarig,Normal,Psychic,455,70,80,65,90,65,85,2,False
204,Pineco,Bug,,290,50,65,90,35,35,15,2,False
205,Forretress,Bug,Steel,465,75,90,140,60,60,40,2,False
206,Dunsparce,Normal,,415,100,70,70,65,65,45,2,False
207,Gligar,Ground,Flying,430,65,75,105,35,65,85,2,False
208,Steelix,Steel,Ground,510,75,85,200,55,65,30,2,False
208,SteelixMega Steelix,Steel,Ground,610,75,125,230,55,95,30,2,False
209,Snubbull,Fairy,,300,60,80,50,40,40,30,2,False
210,Granbull,Fairy,,450,90,120,75,60,60,45,2,False
211,Qwilfish,Water,Poison,430,65,95,75,55,55,85,2,False
212,Scizor,Bug,Steel,500,70,130,100,55,80,65,2,False
212,ScizorMega Scizor,Bug,Steel,600,70,150,140,65,100,75,2,False
213,Shuckle,Bug,Rock,505,20,10,230,10,230,5,2,False
214,Heracross,Bug,Fighting,500,80,125,75,40,95,85,2,False
214,HeracrossMega Heracross,Bug,Fighting,600,80,185,115,40,105,75,2,False
215,Sneasel,Dark,Ice,430,55,95,55,35,75,115,2,False
216,Teddiursa,Normal,,330,60,80,50,50,50,40,2,False
217,Ursaring,Normal,,500,90,130,75,75,75,55,2,False
218,Slugma,Fire,,250,40,40,40,70,40,20,2,False
219,Magcargo,Fire,Rock,410,50,50,120,80,80,30,2,False
220,Swinub,Ice,Ground,250,50,50,40,30,30,50,2,False
221,Piloswine,Ice,Ground,450,100,100,80,60,60,50,2,False
222,Corsola,Water,Rock,380,55,55,85,65,85,35,2,False
223,Remoraid,Water,,300,35,65,35,65,35,65,2,False
224,Octillery,Water,,480,75,105,75,105,75,45,2,False
225,Delibird,Ice,Flying,330,45,55,45,65,45,75,2,False
226,Mantine,Water,Flying,465,65,40,70,80,140,70,2,False
227,Skarmory,Steel,Flying,465,65,80,140,40,70,70,2,False
228,Houndour,Dark,Fire,330,45,60,30,80,50,65,2,False
229,Houndoom,Dark,Fire,500,75,90,50,110,80,95,2,False
229,HoundoomMega Houndoom,Dark,Fire,600,75,90,90,140,90,115,2,False
230,Kingdra,Water,Dragon,540,75,95,95,95,95,85,2,False
231,Phanpy,Ground,,330,90,60,60,40,40,40,2,False
232,Donphan,Ground,,500,90,120,120,60,60,50,2,False
233,Porygon2,Normal,,515,85,80,90,105,95,60,2,False
234,Stantler,Normal,,465,73,95,62,85,65,85,2,False
235,Smeargle,Normal,,250,55,20,35,20,45,75,2,False
236,Tyrogue,Fighting,,210,35,35,35,35,35,35,2,False
237,Hitmontop,Fighting,,455,50,95,95,35,110,70,2,False
238,Smoochum,Ice,Psychic,305,45,30,15,85,65,65,2,False
239,Elekid,Electric,,360,45,63,37,65,55,95,2,False
240,Magby,Fire,,365,45,75,37,70,55,83,2,False
241,Miltank,Normal,,490,95,80,105,40,70,100,2,False
242,Blissey,Normal,,540,255,10,10,75,135,55,2,False
243,Raikou,Electric,,580,90,85,75,115,100,115,2,True
244,Entei,Fire,,580,115,115,85,90,75,100,2,True
245,Suicune,Water,,580,100,75,115,90,115,85,2,True
246,Larvitar,Rock,Ground,300,50,64,50,45,50,41,2,False
247,Pupitar,Rock,Ground,410,70,84,70,65,70,51,2,False
248,Tyranitar,Rock,Dark,600,100,134,110,95,100,61,2,False
248,TyranitarMega Tyranitar,Rock,Dark,700,100,164,150,95,120,71,2,False
249,Lugia,Psychic,Flying,680,106,90,130,90,154,110,2,True
250,Ho-oh,Fire,Flying,680,106,130,90,110,154,90,2,True
251,Celebi,Psychic,Grass,600,100,100,100,100,100,100,2,False
252,Treecko,Grass,,310,40,45,35,65,55,70,3,False
253,Grovyle,Grass,,405,50,65,45,85,65,95,3,False
254,Sceptile,Grass,,530,70,85,65,105,85,120,3,False
254,SceptileMega Sceptile,Grass,Dragon,630,70,110,75,145,85,145,3,False
255,Torchic,Fire,,310,45,60,40,70,50,45,3,False
256,Combusken,Fire,Fighting,405,60,85,60,85,60,55,3,False
257,Blaziken,Fire,Fighting,530,80,120,70,110,70,80,3,False
257,BlazikenMega Blaziken,Fire,Fighting,630,80,160,80,130,80,100,3,False
258,Mudkip,Water,,310,50,70,50,50,50,40,3,False
259,Marshtomp,Water,Ground,405,70,85,70,60,70,50,3,False
260,Swampert,Water,Ground,535,100,110,90,85,90,60,3,False
260,SwampertMega Swampert,Water,Ground,635,100,150,110,95,110,70,3,False
261,Poochyena,Dark,,220,35,55,35,30,30,35,3,False
262,Mightyena,Dark,,420,70,90,70,60,60,70,3,False
263,Zigzagoon,Normal,,240,38,30,41,30,41,60,3,False
264,Linoone,Normal,,420,78,70,61,50,61,100,3,False
265,Wurmple,Bug,,195,45,45,35,20,30,20,3,False
266,Silcoon,Bug,,205,50,35,55,25,25,15,3,False
267,Beautifly,Bug,Flying,395,60,70,50,100,50,65,3,False
268,Cascoon,Bug,,205,50,35,55,25,25,15,3,False
269,Dustox,Bug,Poison,385,60,50,70,50,90,65,3,False
270,Lotad,Water,Grass,220,40,30,30,40,50,30,3,False
271,Lombre,Water,Grass,340,60,50,50,60,70,50,3,False
272,Ludicolo,Water,Grass,480,80,70,70,90,100,70,3,False
273,Seedot,Grass,,220,40,40,50,30,30,30,3,False
274,Nuzleaf,Grass,Dark,340,70,70,40,60,40,60,3,False
275,Shiftry,Grass,Dark,480,90,100,60,90,60,80,3,False
276,Taillow,Normal,Flying,270,40,55,30,30,30,85,3,False
277,Swellow,Normal,Flying,430,60,85,60,50,50,125,3,False
278,Wingull,Water,Flying,270,40,30,30,55,30,85,3,False
279,Pelipper,Water,Flying,430,60,50,100,85,70,65,3,False
280,Ralts,Psychic,Fairy,198,28,25,25,45,35,40,3,False
281,Kirlia,Psychic,Fairy,278,38,35,35,65,55,50,3,False
282,Gardevoir,Psychic,Fairy,518,68,65,65,125,115,80,3,False
282,GardevoirMega Gardevoir,Psychic,Fairy,618,68,85,65,165,135,100,3,False
283,Surskit,Bug,Water,269,40,30,32,50,52,65,3,False
284,Masquerain,Bug,Flying,414,70,60,62,80,82,60,3,False
285,Shroomish,Grass,,295,60,40,60,40,60,35,3,False
286,Breloom,Grass,Fighting,460,60,130,80,60,60,70,3,False
287,Slakoth,Normal,,280,60,60,60,35,35,30,3,False
288,Vigoroth,Normal,,440,80,80,80,55,55,90,3,False
289,Slaking,Normal,,670,150,160,100,95,65,100,3,False
290,Nincada,Bug,Ground,266,31,45,90,30,30,40,3,False
291,Ninjask,Bug,Flying,456,61,90,45,50,50,160,3,False
292,Shedinja,Bug,Ghost,236,1,90,45,30,30,40,3,False
293,Whismur,Normal,,240,64,51,23,51,23,28,3,False
294,Loudred,Normal,,360,84,71,43,71,43,48,3,False
295,Exploud,Normal,,490,104,91,63,91,73,68,3,False
296,Makuhita,Fighting,,237,72,60,30,20,30,25,3,False
297,Hariyama,Fighting,,474,144,120,60,40,60,50,3,False
298,Azurill,Normal,Fairy,190,50,20,40,20,40,20,3,False
299,Nosepass,Rock,,375,30,45,135,45,90,30,3,False
300,Skitty,Normal,,260,50,45,45,35,35,50,3,False
301,Delcatty,Normal,,380,70,65,65,55,55,70,3,False
302,Sableye,Dark,Ghost,380,50,75,75,65,65,50,3,False
302,SableyeMega Sableye,Dark,Ghost,480,50,85,125,85,115,20,3,False
303,Mawile,Steel,Fairy,380,50,85,85,55,55,50,3,False
303,MawileMega Mawile,Steel,Fairy,480,50,105,125,55,95,50,3,False
304,Aron,Steel,Rock,330,50,70,100,40,40,30,3,False
305,Lairon,Steel,Rock,430,60,90,140,50,50,40,3,False
306,Aggron,Steel,Rock,530,70,110,180,60,60,50,3,False
306,AggronMega Aggron,Steel,,630,70,140,230,60,80,50,3,False
307,Meditite,Fighting,Psychic,280,30,40,55,40,55,60,3,False
308,Medicham,Fighting,Psychic,410,60,60,75,60,75,80,3,False
308,MedichamMega Medicham,Fighting,Psychic,510,60,100,85,80,85,100,3,False
309,Electrike,Electric,,295,40,45,40,65,40,65,3,False
310,Manectric,Electric,,475,70,75,60,105,60,105,3,False
310,ManectricMega Manectric,Electric,,575,70,75,80,135,80,135,3,False
311,Plusle,Electric,,405,60,50,40,85,75,95,3,False
312,Minun,Electric,,405,60,40,50,75,85,95,3,False
313,Volbeat,Bug,,400,65,73,55,47,75,85,3,False
314,Illumise,Bug,,400,65,47,55,73,75,85,3,False
315,Roselia,Grass,Poison,400,50,60,45,100,80,65,3,False
316,Gulpin,Poison,,302,70,43,53,43,53,40,3,False
317,Swalot,Poison,,467,100,73,83,73,83,55,3,False
318,Carvanha,Water,Dark,305,45,90,20,65,20,65,3,False
319,Sharpedo,Water,Dark,460,70,120,40,95,40,95,3,False
319,SharpedoMega Sharpedo,Water,Dark,560,70,140,70,110,65,105,3,False
320,Wailmer,Water,,400,130,70,35,70,35,60,3,False
321,Wailord,Water,,500,170,90,45,90,45,60,3,False
322,Numel,Fire,Ground,305,60,60,40,65,45,35,3,False
323,Camerupt,Fire,Ground,460,70,100,70,105,75,40,3,False
323,CameruptMega Camerupt,Fire,Ground,560,70,120,100,145,105,20,3,False
324,Torkoal,Fire,,470,70,85,140,85,70,20,3,False
325,Spoink,Psychic,,330,60,25,35,70,80,60,3,False
326,Grumpig,Psychic,,470,80,45,65,90,110,80,3,False
327,Spinda,Normal,,360,60,60,60,60,60,60,3,False
328,Trapinch,Ground,,290,45,100,45,45,45,10,3,False
329,Vibrava,Ground,Dragon,340,50,70,50,50,50,70,3,False
330,Flygon,Ground,Dragon,520,80,100,80,80,80,100,3,False
331,Cacnea,Grass,,335,50,85,40,85,40,35,3,False
332,Cacturne,Grass,Dark,475,70,115,60,115,60,55,3,False
333,Swablu,Normal,Flying,310,45,40,60,40,75,50,3,False
334,Altaria,Dragon,Flying,490,75,70,90,70,105,80,3,False
334,AltariaMega Altaria,Dragon,Fairy,590,75,110,110,110,105,80,3,False
335,Zangoose,Normal,,458,73,115,60,60,60,90,3,False
336,Seviper,Poison,,458,73,100,60,100,60,65,3,False
337,Lunatone,Rock,Psychic,440,70,55,65,95,85,70,3,False
338,Solrock,Rock,Psychic,440,70,95,85,55,65,70,3,False
339,Barboach,Water,Ground,288,50,48,43,46,41,60,3,False
340,Whiscash,Water,Ground,468,110,78,73,76,71,60,3,False
341,Corphish,Water,,308,43,80,65,50,35,35,3,False
342,Crawdaunt,Water,Dark,468,63,120,85,90,55,55,3,False
343,Baltoy,Ground,Psychic,300,40,40,55,40,70,55,3,False
344,Claydol,Ground,Psychic,500,60,70,105,70,120,75,3,False
345,Lileep,Rock,Grass,355,66,41,77,61,87,23,3,False
346,Cradily,Rock,Grass,495,86,81,97,81,107,43,3,False
347,Anorith,Rock,Bug,355,45,95,50,40,50,75,3,False
348,Armaldo,Rock,Bug,495,75,125,100,70,80,45,3,False
349,Feebas,Water,,200,20,15,20,10,55,80,3,False
350,Milotic,Water,,540,95,60,79,100,125,81,3,False
351,Castform,Normal,,420,70,70,70,70,70,70,3,False
352,Kecleon,Normal,,440,60,90,70,60,120,40,3,False
353,Shuppet,Ghost,,295,44,75,35,63,33,45,3,False
354,Banette,Ghost,,455,64,115,65,83,63,65,3,False
354,BanetteMega Banette,Ghost,,555,64,165,75,93,83,75,3,False
355,Duskull,Ghost,,295,20,40,90,30,90,25,3,False
356,Dusclops,Ghost,,455,40,70,130,60,130,25,3,False
357,Tropius,Grass,Flying,460,99,68,83,72,87,51,3,False
358,Chimecho,Psychic,,425,65,50,70,95,80,65,3,False
359,Absol,Dark,,465,65,130,60,75,60,75,3,False
359,AbsolMega Absol,Dark,,565,65,150,60,115,60,115,3,False
360,Wynaut,Psychic,,260,95,23,48,23,48,23,3,False
361,Snorunt,Ice,,300,50,50,50,50,50,50,3,False
362,Glalie,Ice,,480,80,80,80,80,80,80,3,False
362,GlalieMega Glalie,Ice,,580,80,120,80,120,80,100,3,False
363,Spheal,Ice,Water,290,70,40,50,55,50,25,3,False
364,Sealeo,Ice,Water,410,90,60,70,75,70,45,3,False
365,Walrein,Ice,Water,530,110,80,90,95,90,65,3,False
366,Clamperl,Water,,345,35,64,85,74,55,32,3,False
367,Huntail,Water,,485,55,104,105,94,75,52,3,False
368,Gorebyss,Water,,485,55,84,105,114,75,52,3,False
369,Relicanth,Water,Rock,485,100,90,130,45,65,55,3,False
370,Luvdisc,Water,,330,43,30,55,40,65,97,3,False
371,Bagon,Dragon,,300,45,75,60,40,30,50,3,False
372,Shelgon,Dragon,,420,65,95,100,60,50,50,3,False
373,Salamence,Dragon,Flying,600,95,135,80,110,80,100,3,False
373,SalamenceMega Salamence,Dragon,Flying,700,95,145,130,120,90,120,3,False
374,Beldum,Steel,Psychic,300,40,55,80,35,60,30,3,False
375,Metang,Steel,Psychic,420,60,75,100,55,80,50,3,False
376,Metagross,Steel,Psychic,600,80,135,130,95,90,70,3,False
376,MetagrossMega Metagross,Steel,Psychic,700,80,145,150,105,110,110,3,False
377,Regirock,Rock,,580,80,100,200,50,100,50,3,True
378,Regice,Ice,,580,80,50,100,100,200,50,3,True
379,Registeel,Steel,,580,80,75,150,75,150,50,3,True
380,Latias,Dragon,Psychic,600,80,80,90,110,130,110,3,True
380,LatiasMega Latias,Dragon,Psychic,700,80,100,120,140,150,110,3,True
381,Latios,Dragon,Psychic,600,80,90,80,130,110,110,3,True
381,LatiosMega Latios,Dragon,Psychic,700,80,130,100,160,120,110,3,True
382,Kyogre,Water,,670,100,100,90,150,140,90,3,True
382,KyogrePrimal Kyogre,Water,,770,100,150,90,180,160,90,3,True
383,Groudon,Ground,,670,100,150,140,100,90,90,3,True
383,GroudonPrimal Groudon,Ground,Fire,770,100,180,160,150,90,90,3,True
384,Rayquaza,Dragon,Flying,680,105,150,90,150,90,95,3,True
384,RayquazaMega Rayquaza,Dragon,Flying,780,105,180,100,180,100,115,3,True
385,Jirachi,Steel,Psychic,600,100,100,100,100,100,100,3,True
386,DeoxysNormal Forme,Psychic,,600,50,150,50,150,50,150,3,True
386,DeoxysAttack Forme,Psychic,,600,50,180,20,180,20,150,3,True
386,DeoxysDefense Forme,Psychic,,600,50,70,160,70,160,90,3,True
386,DeoxysSpeed Forme,Psychic,,600,50,95,90,95,90,180,3,True
387,Turtwig,Grass,,318,55,68,64,45,55,31,4,False
388,Grotle,Grass,,405,75,89,85,55,65,36,4,False
389,Torterra,Grass,Ground,525,95,109,105,75,85,56,4,False
390,Chimchar,Fire,,309,44,58,44,58,44,61,4,False
391,Monferno,Fire,Fighting,405,64,78,52,78,52,81,4,False
392,Infernape,Fire,Fighting,534,76,104,71,104,71,108,4,False
393,Piplup,Water,,314,53,51,53,61,56,40,4,False
394,Prinplup,Water,,405,64,66,68,81,76,50,4,False
395,Empoleon,Water,Steel,530,84,86,88,111,101,60,4,False
396,Starly,Normal,Flying,245,40,55,30,30,30,60,4,False
397,Staravia,Normal,Flying,340,55,75,50,40,40,80,4,False
398,Staraptor,Normal,Flying,485,85,120,70,50,60,100,4,False
399,Bidoof,Normal,,250,59,45,40,35,40,31,4,False
400,Bibarel,Normal,Water,410,79,85,60,55,60,71,4,False
401,Kricketot,Bug,,194,37,25,41,25,41,25,4,False
402,Kricketune,Bug,,384,77,85,51,55,51,65,4,False
403,Shinx,Electric,,263,45,65,34,40,34,45,4,False
404,Luxio,Electric,,363,60,85,49,60,49,60,4,False
405,Luxray,Electric,,523,80,120,79,95,79,70,4,False
406,Budew,Grass,Poison,280,40,30,35,50,70,55,4,False
407,Roserade,Grass,Poison,515,60,70,65,125,105,90,4,False
408,Cranidos,Rock,,350,67,125,40,30,30,58,4,False
409,Rampardos,Rock,,495,97,165,60,65,50,58,4,False
410,Shieldon,Rock,Steel,350,30,42,118,42,88,30,4,False
411,Bastiodon,Rock,Steel,495,60,52,168,47,138,30,4,False
412,Burmy,Bug,,224,40,29,45,29,45,36,4,False
413,WormadamPlant Cloak,Bug,Grass,424,60,59,85,79,105,36,4,False
413,WormadamSandy Cloak,Bug,Ground,424,60,79,105,59,85,36,4,False
413,WormadamTrash Cloak,Bug,Steel,424,60,69,95,69,95,36,4,False
414,Mothim,Bug,Flying,424,70,94,50,94,50,66,4,False
415,Combee,Bug,Flying,244,30,30,42,30,42,70,4,False
416,Vespiquen,Bug,Flying,474,70,80,102,80,102,40,4,False
417,Pachirisu,Electric,,405,60,45,70,45,90,95,4,False
418,Buizel,Water,,330,55,65,35,60,30,85,4,False
419,Floatzel,Water,,495,85,105,55,85,50,115,4,False
420,Cherubi,Grass,,275,45,35,45,62,53,35,4,False
421,Cherrim,Grass,,450,70,60,70,87,78,85,4,False
422,Shellos,Water,,325,76,48,48,57,62,34,4,False
423,Gastrodon,Water,Ground,475,111,83,68,92,82,39,4,False
424,Ambipom,Normal,,482,75,100,66,60,66,115,4,False
425,Drifloon,Ghost,Flying,348,90,50,34,60,44,70,4,False
426,Drifblim,Ghost,Flying,498,150,80,44,90,54,80,4,False
427,Buneary,Normal,,350,55,66,44,44,56,85,4,False
428,Lopunny,Normal,,480,65,76,84,54,96,105,4,False
428,LopunnyMega Lopunny,Normal,Fighting,580,65,136,94,54,96,135,4,False
429,Mismagius,Ghost,,495,60,60,60,105,105,105,4,False
430,Honchkrow,Dark,Flying,505,100,125,52,105,52,71,4,False
431,Glameow,Normal,,310,49,55,42,42,37,85,4,False
432,Purugly,Normal,,452,71,82,64,64,59,112,4,False
433,Chingling,Psychic,,285,45,30,50,65,50,45,4,False
434,Stunky,Poison,Dark,329,63,63,47,41,41,74,4,False
435,Skuntank,Poison,Dark,479,103,93,67,71,61,84,4,False
436,Bronzor,Steel,Psychic,300,57,24,86,24,86,23,4,False
437,Bronzong,Steel,Psychic,500,67,89,116,79,116,33,4,False
438,Bonsly,Rock,,290,50,80,95,10,45,10,4,False
439,Mime Jr.,Psychic,Fairy,310,20,25,45,70,90,60,4,False
440,Happiny,Normal,,220,100,5,5,15,65,30,4,False
441,Chatot,Normal,Flying,411,76,65,45,92,42,91,4,False
442,Spiritomb,Ghost,Dark,485,50,92,108,92,108,35,4,False
443,Gible,Dragon,Ground,300,58,70,45,40,45,42,4,False
444,Gabite,Dragon,Ground,410,68,90,65,50,55,82,4,False
445,Garchomp,Dragon,Ground,600,108,130,95,80,85,102,4,False
445,GarchompMega Garchomp,Dragon,Ground,700,108,170,115,120,95,92,4,False
446,Munchlax,Normal,,390,135,85,40,40,85,5,4,False
447,Riolu,Fighting,,285,40,70,40,35,40,60,4,False
448,Lucario,Fighting,Steel,525,70,110,70,115,70,90,4,False
448,LucarioMega Lucario,Fighting,Steel,625,70,145,88,140,70,112,4,False
449,Hippopotas,Ground,,330,68,72,78,38,42,32,4,False
450,Hippowdon,Ground,,525,108,112,118,68,72,47,4,False
451,Skorupi,Poison,Bug,330,40,50,90,30,55,65,4,False
452,Drapion,Poison,Dark,500,70,90,110,60,75,95,4,False
453,Croagunk,Poison,Fighting,300,48,61,40,61,40,50,4,False
454,Toxicroak,Poison,Fighting,490,83,106,65,86,65,85,4,False
455,Carnivine,Grass,,454,74,100,72,90,72,46,4,False
456,Finneon,Water,,330,49,49,56,49,61,66,4,False
457,Lumineon,Water,,460,69,69,76,69,86,91,4,False
458,Mantyke,Water,Flying,345,45,20,50,60,120,50,4,False
459,Snover,Grass,Ice,334,60,62,50,62,60,40,4,False
460,Abomasnow,Grass,Ice,494,90,92,75,92,85,60,4,False
460,AbomasnowMega Abomasnow,Grass,Ice,594,90,132,105,132,105,30,4,False
461,Weavile,Dark,Ice,510,70,120,65,45,85,125,4,False
462,Magnezone,Electric,Steel,535,70,70,115,130,90,60,4,False
463,Lickilicky,Normal,,515,110,85,95,80,95,50,4,False
464,Rhyperior,Ground,Rock,535,115,140,130,55,55,40,4,False
465,Tangrowth,Grass,,535,100,100,125,110,50,50,4,False
466,Electivire,Electric,,540,75,123,67,95,85,95,4,False
467,Magmortar,Fire,,540,75,95,67,125,95,83,4,False
468,Togekiss,Fairy,Flying,545,85,50,95,120,115,80,4,False
469,Yanmega,Bug,Flying,515,86,76,86,116,56,95,4,False
470,Leafeon,Grass,,525,65,110,130,60,65,95,4,False
471,Glaceon,Ice,,525,65,60,110,130,95,65,4,False
472,Gliscor,Ground,Flying,510,75,95,125,45,75,95,4,False
473,Mamoswine,Ice,Ground,530,110,130,80,70,60,80,4,False
474,Porygon-Z,Normal,,535,85,80,70,135,75,90,4,False
475,Gallade,Psychic,Fighting,518,68,125,65,65,115,80,4,False
475,GalladeMega Gallade,Psychic,Fighting,618,68,165,95,65,115,110,4,False
476,Probopass,Rock,Steel,525,60,55,145,75,150,40,4,False
477,Dusknoir,Ghost,,525,45,100,135,65,135,45,4,False
478,Froslass,Ice,Ghost,480,70,80,70,80,70,110,4,False
479,Rotom,Electric,Ghost,440,50,50,77,95,77,91,4,False
479,RotomHeat Rotom,Electric,Fire,520,50,65,107,105,107,86,4,False
479,RotomWash Rotom,Electric,Water,520,50,65,107,105,107,86,4,False
479,RotomFrost Rotom,Electric,Ice,520,50,65,107,105,107,86,4,False
479,RotomFan Rotom,Electric,Flying,520,50,65,107,105,107,86,4,False
479,RotomMow Rotom,Electric,Grass,520,50,65,107,105,107,86,4,False
480,Uxie,Psychic,,580,75,75,130,75,130,95,4,True
481,Mesprit,Psychic,,580,80,105,105,105,105,80,4,True
482,Azelf,Psychic,,580,75,125,70,125,70,115,4,True
483,Dialga,Steel,Dragon,680,100,120,120,150,100,90,4,True
484,Palkia,Water,Dragon,680,90,120,100,150,120,100,4,True
485,Heatran,Fire,Steel,600,91,90,106,130,106,77,4,True
486,Regigigas,Normal,,670,110,160,110,80,110,100,4,True
487,GiratinaAltered Forme,Ghost,Dragon,680,150,100,120,100,120,90,4,True
487,GiratinaOrigin Forme,Ghost,Dragon,680,150,120,100,120,100,90,4,True
488,Cresselia,Psychic,,600,120,70,120,75,130,85,4,False
489,Phione,Water,,480,80,80,80,80,80,80,4,False
490,Manaphy,Water,,600,100,100,100,100,100,100,4,False
491,Darkrai,Dark,,600,70,90,90,135,90,125,4,True
492,ShayminLand Forme,Grass,,600,100,100,100,100,100,100,4,True
492,ShayminSky Forme,Grass,Flying,600,100,103,75,120,75,127,4,True
493,Arceus,Normal,,720,120,120,120,120,120,120,4,True
494,Victini,Psychic,Fire,600,100,100,100,100,100,100,5,True
495,Snivy,Grass,,308,45,45,55,45,55,63,5,False
496,Servine,Grass,,413,60,60,75,60,75,83,5,False
497,Serperior,Grass,,528,75,75,95,75,95,113,5,False
498,Tepig,Fire,,308,65,63,45,45,45,45,5,False
499,Pignite,Fire,Fighting,418,90,93,55,70,55,55,5,False
500,Emboar,Fire,Fighting,528,110,123,65,100,65,65,5,False
501,Oshawott,Water,,308,55,55,45,63,45,45,5,False
502,Dewott,Water,,413,75,75,60,83,60,60,5,False
503,Samurott,Water,,528,95,100,85,108,70,70,5,False
504,Patrat,Normal,,255,45,55,39,35,39,42,5,False
505,Watchog,Normal,,420,60,85,69,60,69,77,5,False
506,Lillipup,Normal,,275,45,60,45,25,45,55,5,False
507,Herdier,Normal,,370,65,80,65,35,65,60,5,False
508,Stoutland,Normal,,500,85,110,90,45,90,80,5,False
509,Purrloin,Dark,,281,41,50,37,50,37,66,5,False
510,Liepard,Dark,,446,64,88,50,88,50,106,5,False
511,Pansage,Grass,,316,50,53,48,53,48,64,5,False
512,Simisage,Grass,,498,75,98,63,98,63,101,5,False
513,Pansear,Fire,,316,50,53,48,53,48,64,5,False
514,Simisear,Fire,,498,75,98,63,98,63,101,5,False
515,Panpour,Water,,316,50,53,48,53,48,64,5,False
516,Simipour,Water,,498,75,98,63,98,63,101,5,False
517,Munna,Psychic,,292,76,25,45,67,55,24,5,False
518,Musharna,Psychic,,487,116,55,85,107,95,29,5,False
519,Pidove,Normal,Flying,264,50,55,50,36,30,43,5,False
520,Tranquill,Normal,Flying,358,62,77,62,50,42,65,5,False
521,Unfezant,Normal,Flying,488,80,115,80,65,55,93,5,False
522,Blitzle,Electric,,295,45,60,32,50,32,76,5,False
523,Zebstrika,Electric,,497,75,100,63,80,63,116,5,False
524,Roggenrola,Rock,,280,55,75,85,25,25,15,5,False
525,Boldore,Rock,,390,70,105,105,50,40,20,5,False
526,Gigalith,Rock,,515,85,135,130,60,80,25,5,False
527,Woobat,Psychic,Flying,313,55,45,43,55,43,72,5,False
528,Swoobat,Psychic,Flying,425,67,57,55,77,55,114,5,False
529,Drilbur,Ground,,328,60,85,40,30,45,68,5,False
530,Excadrill,Ground,Steel,508,110,135,60,50,65,88,5,False
531,Audino,Normal,,445,103,60,86,60,86,50,5,False
531,AudinoMega Audino,Normal,Fairy,545,103,60,126,80,126,50,5,False
532,Timburr,Fighting,,305,75,80,55,25,35,35,5,False
533,Gurdurr,Fighting,,405,85,105,85,40,50,40,5,False
534,Conkeldurr,Fighting,,505,105,140,95,55,65,45,5,False
535,Tympole,Water,,294,50,50,40,50,40,64,5,False
536,Palpitoad,Water,Ground,384,75,65,55,65,55,69,5,False
537,Seismitoad,Water,Ground,509,105,95,75,85,75,74,5,False
538,Throh,Fighting,,465,120,100,85,30,85,45,5,False
539,Sawk,Fighting,,465,75,125,75,30,75,85,5,False
540,Sewaddle,Bug,Grass,310,45,53,70,40,60,42,5,False
541,Swadloon,Bug,Grass,380,55,63,90,50,80,42,5,False
542,Leavanny,Bug,Grass,500,75,103,80,70,80,92,5,False
543,Venipede,Bug,Poison,260,30,45,59,30,39,57,5,False
544,Whirlipede,Bug,Poison,360,40,55,99,40,79,47,5,False
545,Scolipede,Bug,Poison,485,60,100,89,55,69,112,5,False
546,Cottonee,Grass,Fairy,280,40,27,60,37,50,66,5,False
547,Whimsicott,Grass,Fairy,480,60,67,85,77,75,116,5,False
548,Petilil,Grass,,280,45,35,50,70,50,30,5,False
549,Lilligant,Grass,,480,70,60,75,110,75,90,5,False
550,Basculin,Water,,460,70,92,65,80,55,98,5,False
551,Sandile,Ground,Dark,292,50,72,35,35,35,65,5,False
552,Krokorok,Ground,Dark,351,60,82,45,45,45,74,5,False
553,Krookodile,Ground,Dark,519,95,117,80,65,70,92,5,False
554,Darumaka,Fire,,315,70,90,45,15,45,50,5,False
555,DarmanitanStandard Mode,Fire,,480,105,140,55,30,55,95,5,False
555,DarmanitanZen Mode,Fire,Psychic,540,105,30,105,140,105,55,5,False
556,Maractus,Grass,,461,75,86,67,106,67,60,5,False
557,Dwebble,Bug,Rock,325,50,65,85,35,35,55,5,False
558,Crustle,Bug,Rock,475,70,95,125,65,75,45,5,False
559,Scraggy,Dark,Fighting,348,50,75,70,35,70,48,5,False
560,Scrafty,Dark,Fighting,488,65,90,115,45,115,58,5,False
561,Sigilyph,Psychic,Flying,490,72,58,80,103,80,97,5,False
562,Yamask,Ghost,,303,38,30,85,55,65,30,5,False
563,Cofagrigus,Ghost,,483,58,50,145,95,105,30,5,False
564,Tirtouga,Water,Rock,355,54,78,103,53,45,22,5,False
565,Carracosta,Water,Rock,495,74,108,133,83,65,32,5,False
566,Archen,Rock,Flying,401,55,112,45,74,45,70,5,False
567,Archeops,Rock,Flying,567,75,140,65,112,65,110,5,False
568,Trubbish,Poison,,329,50,50,62,40,62,65,5,False
569,Garbodor,Poison,,474,80,95,82,60,82,75,5,False
570,Zorua,Dark,,330,40,65,40,80,40,65,5,False
571,Zoroark,Dark,,510,60,105,60,120,60,105,5,False
572,Minccino,Normal,,300,55,50,40,40,40,75,5,False
573,Cinccino,Normal,,470,75,95,60,65,60,115,5,False
574,Gothita,Psychic,,290,45,30,50,55,65,45,5,False
575,Gothorita,Psychic,,390,60,45,70,75,85,55,5,False
576,Gothitelle,Psychic,,490,70,55,95,95,110,65,5,False
577,Solosis,Psychic,,290,45,30,40,105,50,20,5,False
578,Duosion,Psychic,,370,65,40,50,125,60,30,5,False
579,Reuniclus,Psychic,,490,110,65,75,125,85,30,5,False
580,Ducklett,Water,Flying,305,62,44,50,44,50,55,5,False
581,Swanna,Water,Flying,473,75,87,63,87,63,98,5,False
582,Vanillite,Ice,,305,36,50,50,65,60,44,5,False
583,Vanillish,Ice,,395,51,65,65,80,75,59,5,False
584,Vanilluxe,Ice,,535,71,95,85,110,95,79,5,False
585,Deerling,Normal,Grass,335,60,60,50,40,50,75,5,False
586,Sawsbuck,Normal,Grass,475,80,100,70,60,70,95,5,False
587,Emolga,Electric,Flying,428,55,75,60,75,60,103,5,False
588,Karrablast,Bug,,315,50,75,45,40,45,60,5,False
589,Escavalier,Bug,Steel,495,70,135,105,60,105,20,5,False
590,Foongus,Grass,Poison,294,69,55,45,55,55,15,5,False
591,Amoonguss,Grass,Poison,464,114,85,70,85,80,30,5,False
592,Frillish,Water,Ghost,335,55,40,50,65,85,40,5,False
593,Jellicent,Water,Ghost,480,100,60,70,85,105,60,5,False
594,Alomomola,Water,,470,165,75,80,40,45,65,5,False
595,Joltik,Bug,Electric,319,50,47,50,57,50,65,5,False
596,Galvantula,Bug,Electric,472,70,77,60,97,60,108,5,False
597,Ferroseed,Grass,Steel,305,44,50,91,24,86,10,5,False
598,Ferrothorn,Grass,Steel,489,74,94,131,54,116,20,5,False
599,Klink,Steel,,300,40,55,70,45,60,30,5,False
600,Klang,Steel,,440,60,80,95,70,85,50,5,False
601,Klinklang,Steel,,520,60,100,115,70,85,90,5,False
602,Tynamo,Electric,,275,35,55,40,45,40,60,5,False
603,Eelektrik,Electric,,405,65,85,70,75,70,40,5,False
604,Eelektross,Electric,,515,85,115,80,105,80,50,5,False
605,Elgyem,Psychic,,335,55,55,55,85,55,30,5,False
606,Beheeyem,Psychic,,485,75,75,75,125,95,40,5,False
607,Litwick,Ghost,Fire,275,50,30,55,65,55,20,5,False
608,Lampent,Ghost,Fire,370,60,40,60,95,60,55,5,False
609,Chandelure,Ghost,Fire,520,60,55,90,145,90,80,5,False
610,Axew,Dragon,,320,46,87,60,30,40,57,5,False
611,Fraxure,Dragon,,410,66,117,70,40,50,67,5,False
612,Haxorus,Dragon,,540,76,147,90,60,70,97,5,False
613,Cubchoo,Ice,,305,55,70,40,60,40,40,5,False
614,Beartic,Ice,,485,95,110,80,70,80,50,5,False
615,Cryogonal,Ice,,485,70,50,30,95,135,105,5,False
616,Shelmet,Bug,,305,50,40,85,40,65,25,5,False
617,Accelgor,Bug,,495,80,70,40,100,60,145,5,False
618,Stunfisk,Ground,Electric,471,109,66,84,81,99,32,5,False
619,Mienfoo,Fighting,,350,45,85,50,55,50,65,5,False
620,Mienshao,Fighting,,510,65,125,60,95,60,105,5,False
621,Druddigon,Dragon,,485,77,120,90,60,90,48,5,False
622,Golett,Ground,Ghost,303,59,74,50,35,50,35,5,False
623,Golurk,Ground,Ghost,483,89,124,80,55,80,55,5,False
624,Pawniard,Dark,Steel,340,45,85,70,40,40,60,5,False
625,Bisharp,Dark,Steel,490,65,125,100,60,70,70,5,False
626,Bouffalant,Normal,,490,95,110,95,40,95,55,5,False
627,Rufflet,Normal,Flying,350,70,83,50,37,50,60,5,False
628,Braviary,Normal,Flying,510,100,123,75,57,75,80,5,False
629,Vullaby,Dark,Flying,370,70,55,75,45,65,60,5,False
630,Mandibuzz,Dark,Flying,510,110,65,105,55,95,80,5,False
631,Heatmor,Fire,,484,85,97,66,105,66,65,5,False
632,Durant,Bug,Steel,484,58,109,112,48,48,109,5,False
633,Deino,Dark,Dragon,300,52,65,50,45,50,38,5,False
634,Zweilous,Dark,Dragon,420,72,85,70,65,70,58,5,False
635,Hydreigon,Dark,Dragon,600,92,105,90,125,90,98,5,False
636,Larvesta,Bug,Fire,360,55,85,55,50,55,60,5,False
637,Volcarona,Bug,Fire,550,85,60,65,135,105,100,5,False
638,Cobalion,Steel,Fighting,580,91,90,129,90,72,108,5,True
639,Terrakion,Rock,Fighting,580,91,129,90,72,90,108,5,True
640,Virizion,Grass,Fighting,580,91,90,72,90,129,108,5,True
641,TornadusIncarnate Forme,Flying,,580,79,115,70,125,80,111,5,True
641,TornadusTherian Forme,Flying,,580,79,100,80,110,90,121,5,True
642,ThundurusIncarnate Forme,Electric,Flying,580,79,115,70,125,80,111,5,True
642,ThundurusTherian Forme,Electric,Flying,580,79,105,70,145,80,101,5,True
643,Reshiram,Dragon,Fire,680,100,120,100,150,120,90,5,True
644,Zekrom,Dragon,Electric,680,100,150,120,120,100,90,5,True
645,LandorusIncarnate Forme,Ground,Flying,600,89,125,90,115,80,101,5,True
645,LandorusTherian Forme,Ground,Flying,600,89,145,90,105,80,91,5,True
646,Kyurem,Dragon,Ice,660,125,130,90,130,90,95,5,True
646,KyuremBlack Kyurem,Dragon,Ice,700,125,170,100,120,90,95,5,True
646,KyuremWhite Kyurem,Dragon,Ice,700,125,120,90,170,100,95,5,True
647,KeldeoOrdinary Forme,Water,Fighting,580,91,72,90,129,90,108,5,False
647,KeldeoResolute Forme,Water,Fighting,580,91,72,90,129,90,108,5,False
648,MeloettaAria Forme,Normal,Psychic,600,100,77,77,128,128,90,5,False
648,MeloettaPirouette Forme,Normal,Fighting,600,100,128,90,77,77,128,5,False
649,Genesect,Bug,Steel,600,71,120,95,120,95,99,5,False
650,Chespin,Grass,,313,56,61,65,48,45,38,6,False
651,Quilladin,Grass,,405,61,78,95,56,58,57,6,False
652,Chesnaught,Grass,Fighting,530,88,107,122,74,75,64,6,False
653,Fennekin,Fire,,307,40,45,40,62,60,60,6,False
654,Braixen,Fire,,409,59,59,58,90,70,73,6,False
655,Delphox,Fire,Psychic,534,75,69,72,114,100,104,6,False
656,Froakie,Water,,314,41,56,40,62,44,71,6,False
657,Frogadier,Water,,405,54,63,52,83,56,97,6,False
658,Greninja,Water,Dark,530,72,95,67,103,71,122,6,False
659,Bunnelby,Normal,,237,38,36,38,32,36,57,6,False
660,Diggersby,Normal,Ground,423,85,56,77,50,77,78,6,False
661,Fletchling,Normal,Flying,278,45,50,43,40,38,62,6,False
662,Fletchinder,Fire,Flying,382,62,73,55,56,52,84,6,False
663,Talonflame,Fire,Flying,499,78,81,71,74,69,126,6,False
664,Scatterbug,Bug,,200,38,35,40,27,25,35,6,False
665,Spewpa,Bug,,213,45,22,60,27,30,29,6,False
666,Vivillon,Bug,Flying,411,80,52,50,90,50,89,6,False
667,Litleo,Fire,Normal,369,62,50,58,73,54,72,6,False
668,Pyroar,Fire,Normal,507,86,68,72,109,66,106,6,False
669,Flabébé,Fairy,,303,44,38,39,61,79,42,6,False
670,Floette,Fairy,,371,54,45,47,75,98,52,6,False
671,Florges,Fairy,,552,78,65,68,112,154,75,6,False
672,Skiddo,Grass,,350,66,65,48,62,57,52,6,False
673,Gogoat,Grass,,531,123,100,62,97,81,68,6,False
674,Pancham,Fighting,,348,67,82,62,46,48,43,6,False
675,Pangoro,Fighting,Dark,495,95,124,78,69,71,58,6,False
676,Furfrou,Normal,,472,75,80,60,65,90,102,6,False
677,Espurr,Psychic,,355,62,48,54,63,60,68,6,False
678,MeowsticMale,Psychic,,466,74,48,76,83,81,104,6,False
678,MeowsticFemale,Psychic,,466,74,48,76,83,81,104,6,False
679,Honedge,Steel,Ghost,325,45,80,100,35,37,28,6,False
680,Doublade,Steel,Ghost,448,59,110,150,45,49,35,6,False
681,AegislashBlade Forme,Steel,Ghost,520,60,150,50,150,50,60,6,False
681,AegislashShield Forme,Steel,Ghost,520,60,50,150,50,150,60,6,False
682,Spritzee,Fairy,,341,78,52,60,63,65,23,6,False
683,Aromatisse,Fairy,,462,101,72,72,99,89,29,6,False
684,Swirlix,Fairy,,341,62,48,66,59,57,49,6,False
685,Slurpuff,Fairy,,480,82,80,86,85,75,72,6,False
686,Inkay,Dark,Psychic,288,53,54,53,37,46,45,6,False
687,Malamar,Dark,Psychic,482,86,92,88,68,75,73,6,False
688,Binacle,Rock,Water,306,42,52,67,39,56,50,6,False
689,Barbaracle,Rock,Water,500,72,105,115,54,86,68,6,False
690,Skrelp,Poison,Water,320,50,60,60,60,60,30,6,False
691,Dragalge,Poison,Dragon,494,65,75,90,97,123,44,6,False
692,Clauncher,Water,,330,50,53,62,58,63,44,6,False
693,Clawitzer,Water,,500,71,73,88,120,89,59,6,False
694,Helioptile,Electric,Normal,289,44,38,33,61,43,70,6,False
695,Heliolisk,Electric,Normal,481,62,55,52,109,94,109,6,False
696,Tyrunt,Rock,Dragon,362,58,89,77,45,45,48,6,False
697,Tyrantrum,Rock,Dragon,521,82,121,119,69,59,71,6,False
698,Amaura,Rock,Ice,362,77,59,50,67,63,46,6,False
699,Aurorus,Rock,Ice,521,123,77,72,99,92,58,6,False
700,Sylveon,Fairy,,525,95,65,65,110,130,60,6,False
701,Hawlucha,Fighting,Flying,500,78,92,75,74,63,118,6,False
702,Dedenne,Electric,Fairy,431,67,58,57,81,67,101,6,False
703,Carbink,Rock,Fairy,500,50,50,150,50,150,50,6,False
704,Goomy,Dragon,,300,45,50,35,55,75,40,6,False
705,Sliggoo,Dragon,,452,68,75,53,83,113,60,6,False
706,Goodra,Dragon,,600,90,100,70,110,150,80,6,False
707,Klefki,Steel,Fairy,470,57,80,91,80,87,75,6,False
708,Phantump,Ghost,Grass,309,43,70,48,50,60,38,6,False
709,Trevenant,Ghost,Grass,474,85,110,76,65,82,56,6,False
710,PumpkabooAverage Size,Ghost,Grass,335,49,66,70,44,55,51,6,False
710,PumpkabooSmall Size,Ghost,Grass,335,44,66,70,44,55,56,6,False
710,PumpkabooLarge Size,Ghost,Grass,335,54,66,70,44,55,46,6,False
710,PumpkabooSuper Size,Ghost,Grass,335,59,66,70,44,55,41,6,False
711,GourgeistAverage Size,Ghost,Grass,494,65,90,122,58,75,84,6,False
711,GourgeistSmall Size,Ghost,Grass,494,55,85,122,58,75,99,6,False
711,GourgeistLarge Size,Ghost,Grass,494,75,95,122,58,75,69,6,False
711,GourgeistSuper Size,Ghost,Grass,494,85,100,122,58,75,54,6,False
712,Bergmite,Ice,,304,55,69,85,32,35,28,6,False
713,Avalugg,Ice,,514,95,117,184,44,46,28,6,False
714,Noibat,Flying,Dragon,245,40,30,35,45,40,55,6,False
715,Noivern,Flying,Dragon,535,85,70,80,97,80,123,6,False
716,Xerneas,Fairy,,680,126,131,95,131,98,99,6,True
717,Yveltal,Dark,Flying,680,126,131,95,131,98,99,6,True
718,Zygarde50% Forme,Dragon,Ground,600,108,100,121,81,95,95,6,True
719,Diancie,Rock,Fairy,600,50,100,150,100,150,50,6,True
719,DiancieMega Diancie,Rock,Fairy,700,50,160,110,160,110,110,6,True
720,HoopaHoopa Confined,Psychic,Ghost,600,80,110,60,150,130,70,6,True
720,HoopaHoopa Unbound,Psychic,Dark,680,80,160,60,170,130,80,6,True
721,Volcanion,Fire,Water,600,80,110,120,130,90,70,6,True
1 # Name Type 1 Type 2 Total HP Attack Defense Sp. Atk Sp. Def Speed Generation Legendary
2 1 Bulbasaur Grass Poison 318 45 49 49 65 65 45 1 False
3 2 Ivysaur Grass Poison 405 60 62 63 80 80 60 1 False
4 3 Venusaur Grass Poison 525 80 82 83 100 100 80 1 False
5 3 VenusaurMega Venusaur Grass Poison 625 80 100 123 122 120 80 1 False
6 4 Charmander Fire 309 39 52 43 60 50 65 1 False
7 5 Charmeleon Fire 405 58 64 58 80 65 80 1 False
8 6 Charizard Fire Flying 534 78 84 78 109 85 100 1 False
9 6 CharizardMega Charizard X Fire Dragon 634 78 130 111 130 85 100 1 False
10 6 CharizardMega Charizard Y Fire Flying 634 78 104 78 159 115 100 1 False
11 7 Squirtle Water 314 44 48 65 50 64 43 1 False
12 8 Wartortle Water 405 59 63 80 65 80 58 1 False
13 9 Blastoise Water 530 79 83 100 85 105 78 1 False
14 9 BlastoiseMega Blastoise Water 630 79 103 120 135 115 78 1 False
15 10 Caterpie Bug 195 45 30 35 20 20 45 1 False
16 11 Metapod Bug 205 50 20 55 25 25 30 1 False
17 12 Butterfree Bug Flying 395 60 45 50 90 80 70 1 False
18 13 Weedle Bug Poison 195 40 35 30 20 20 50 1 False
19 14 Kakuna Bug Poison 205 45 25 50 25 25 35 1 False
20 15 Beedrill Bug Poison 395 65 90 40 45 80 75 1 False
21 15 BeedrillMega Beedrill Bug Poison 495 65 150 40 15 80 145 1 False
22 16 Pidgey Normal Flying 251 40 45 40 35 35 56 1 False
23 17 Pidgeotto Normal Flying 349 63 60 55 50 50 71 1 False
24 18 Pidgeot Normal Flying 479 83 80 75 70 70 101 1 False
25 18 PidgeotMega Pidgeot Normal Flying 579 83 80 80 135 80 121 1 False
26 19 Rattata Normal 253 30 56 35 25 35 72 1 False
27 20 Raticate Normal 413 55 81 60 50 70 97 1 False
28 21 Spearow Normal Flying 262 40 60 30 31 31 70 1 False
29 22 Fearow Normal Flying 442 65 90 65 61 61 100 1 False
30 23 Ekans Poison 288 35 60 44 40 54 55 1 False
31 24 Arbok Poison 438 60 85 69 65 79 80 1 False
32 25 Pikachu Electric 320 35 55 40 50 50 90 1 False
33 26 Raichu Electric 485 60 90 55 90 80 110 1 False
34 27 Sandshrew Ground 300 50 75 85 20 30 40 1 False
35 28 Sandslash Ground 450 75 100 110 45 55 65 1 False
36 29 Nidoran♀ Poison 275 55 47 52 40 40 41 1 False
37 30 Nidorina Poison 365 70 62 67 55 55 56 1 False
38 31 Nidoqueen Poison Ground 505 90 92 87 75 85 76 1 False
39 32 Nidoran♂ Poison 273 46 57 40 40 40 50 1 False
40 33 Nidorino Poison 365 61 72 57 55 55 65 1 False
41 34 Nidoking Poison Ground 505 81 102 77 85 75 85 1 False
42 35 Clefairy Fairy 323 70 45 48 60 65 35 1 False
43 36 Clefable Fairy 483 95 70 73 95 90 60 1 False
44 37 Vulpix Fire 299 38 41 40 50 65 65 1 False
45 38 Ninetales Fire 505 73 76 75 81 100 100 1 False
46 39 Jigglypuff Normal Fairy 270 115 45 20 45 25 20 1 False
47 40 Wigglytuff Normal Fairy 435 140 70 45 85 50 45 1 False
48 41 Zubat Poison Flying 245 40 45 35 30 40 55 1 False
49 42 Golbat Poison Flying 455 75 80 70 65 75 90 1 False
50 43 Oddish Grass Poison 320 45 50 55 75 65 30 1 False
51 44 Gloom Grass Poison 395 60 65 70 85 75 40 1 False
52 45 Vileplume Grass Poison 490 75 80 85 110 90 50 1 False
53 46 Paras Bug Grass 285 35 70 55 45 55 25 1 False
54 47 Parasect Bug Grass 405 60 95 80 60 80 30 1 False
55 48 Venonat Bug Poison 305 60 55 50 40 55 45 1 False
56 49 Venomoth Bug Poison 450 70 65 60 90 75 90 1 False
57 50 Diglett Ground 265 10 55 25 35 45 95 1 False
58 51 Dugtrio Ground 405 35 80 50 50 70 120 1 False
59 52 Meowth Normal 290 40 45 35 40 40 90 1 False
60 53 Persian Normal 440 65 70 60 65 65 115 1 False
61 54 Psyduck Water 320 50 52 48 65 50 55 1 False
62 55 Golduck Water 500 80 82 78 95 80 85 1 False
63 56 Mankey Fighting 305 40 80 35 35 45 70 1 False
64 57 Primeape Fighting 455 65 105 60 60 70 95 1 False
65 58 Growlithe Fire 350 55 70 45 70 50 60 1 False
66 59 Arcanine Fire 555 90 110 80 100 80 95 1 False
67 60 Poliwag Water 300 40 50 40 40 40 90 1 False
68 61 Poliwhirl Water 385 65 65 65 50 50 90 1 False
69 62 Poliwrath Water Fighting 510 90 95 95 70 90 70 1 False
70 63 Abra Psychic 310 25 20 15 105 55 90 1 False
71 64 Kadabra Psychic 400 40 35 30 120 70 105 1 False
72 65 Alakazam Psychic 500 55 50 45 135 95 120 1 False
73 65 AlakazamMega Alakazam Psychic 590 55 50 65 175 95 150 1 False
74 66 Machop Fighting 305 70 80 50 35 35 35 1 False
75 67 Machoke Fighting 405 80 100 70 50 60 45 1 False
76 68 Machamp Fighting 505 90 130 80 65 85 55 1 False
77 69 Bellsprout Grass Poison 300 50 75 35 70 30 40 1 False
78 70 Weepinbell Grass Poison 390 65 90 50 85 45 55 1 False
79 71 Victreebel Grass Poison 490 80 105 65 100 70 70 1 False
80 72 Tentacool Water Poison 335 40 40 35 50 100 70 1 False
81 73 Tentacruel Water Poison 515 80 70 65 80 120 100 1 False
82 74 Geodude Rock Ground 300 40 80 100 30 30 20 1 False
83 75 Graveler Rock Ground 390 55 95 115 45 45 35 1 False
84 76 Golem Rock Ground 495 80 120 130 55 65 45 1 False
85 77 Ponyta Fire 410 50 85 55 65 65 90 1 False
86 78 Rapidash Fire 500 65 100 70 80 80 105 1 False
87 79 Slowpoke Water Psychic 315 90 65 65 40 40 15 1 False
88 80 Slowbro Water Psychic 490 95 75 110 100 80 30 1 False
89 80 SlowbroMega Slowbro Water Psychic 590 95 75 180 130 80 30 1 False
90 81 Magnemite Electric Steel 325 25 35 70 95 55 45 1 False
91 82 Magneton Electric Steel 465 50 60 95 120 70 70 1 False
92 83 Farfetch'd Normal Flying 352 52 65 55 58 62 60 1 False
93 84 Doduo Normal Flying 310 35 85 45 35 35 75 1 False
94 85 Dodrio Normal Flying 460 60 110 70 60 60 100 1 False
95 86 Seel Water 325 65 45 55 45 70 45 1 False
96 87 Dewgong Water Ice 475 90 70 80 70 95 70 1 False
97 88 Grimer Poison 325 80 80 50 40 50 25 1 False
98 89 Muk Poison 500 105 105 75 65 100 50 1 False
99 90 Shellder Water 305 30 65 100 45 25 40 1 False
100 91 Cloyster Water Ice 525 50 95 180 85 45 70 1 False
101 92 Gastly Ghost Poison 310 30 35 30 100 35 80 1 False
102 93 Haunter Ghost Poison 405 45 50 45 115 55 95 1 False
103 94 Gengar Ghost Poison 500 60 65 60 130 75 110 1 False
104 94 GengarMega Gengar Ghost Poison 600 60 65 80 170 95 130 1 False
105 95 Onix Rock Ground 385 35 45 160 30 45 70 1 False
106 96 Drowzee Psychic 328 60 48 45 43 90 42 1 False
107 97 Hypno Psychic 483 85 73 70 73 115 67 1 False
108 98 Krabby Water 325 30 105 90 25 25 50 1 False
109 99 Kingler Water 475 55 130 115 50 50 75 1 False
110 100 Voltorb Electric 330 40 30 50 55 55 100 1 False
111 101 Electrode Electric 480 60 50 70 80 80 140 1 False
112 102 Exeggcute Grass Psychic 325 60 40 80 60 45 40 1 False
113 103 Exeggutor Grass Psychic 520 95 95 85 125 65 55 1 False
114 104 Cubone Ground 320 50 50 95 40 50 35 1 False
115 105 Marowak Ground 425 60 80 110 50 80 45 1 False
116 106 Hitmonlee Fighting 455 50 120 53 35 110 87 1 False
117 107 Hitmonchan Fighting 455 50 105 79 35 110 76 1 False
118 108 Lickitung Normal 385 90 55 75 60 75 30 1 False
119 109 Koffing Poison 340 40 65 95 60 45 35 1 False
120 110 Weezing Poison 490 65 90 120 85 70 60 1 False
121 111 Rhyhorn Ground Rock 345 80 85 95 30 30 25 1 False
122 112 Rhydon Ground Rock 485 105 130 120 45 45 40 1 False
123 113 Chansey Normal 450 250 5 5 35 105 50 1 False
124 114 Tangela Grass 435 65 55 115 100 40 60 1 False
125 115 Kangaskhan Normal 490 105 95 80 40 80 90 1 False
126 115 KangaskhanMega Kangaskhan Normal 590 105 125 100 60 100 100 1 False
127 116 Horsea Water 295 30 40 70 70 25 60 1 False
128 117 Seadra Water 440 55 65 95 95 45 85 1 False
129 118 Goldeen Water 320 45 67 60 35 50 63 1 False
130 119 Seaking Water 450 80 92 65 65 80 68 1 False
131 120 Staryu Water 340 30 45 55 70 55 85 1 False
132 121 Starmie Water Psychic 520 60 75 85 100 85 115 1 False
133 122 Mr. Mime Psychic Fairy 460 40 45 65 100 120 90 1 False
134 123 Scyther Bug Flying 500 70 110 80 55 80 105 1 False
135 124 Jynx Ice Psychic 455 65 50 35 115 95 95 1 False
136 125 Electabuzz Electric 490 65 83 57 95 85 105 1 False
137 126 Magmar Fire 495 65 95 57 100 85 93 1 False
138 127 Pinsir Bug 500 65 125 100 55 70 85 1 False
139 127 PinsirMega Pinsir Bug Flying 600 65 155 120 65 90 105 1 False
140 128 Tauros Normal 490 75 100 95 40 70 110 1 False
141 129 Magikarp Water 200 20 10 55 15 20 80 1 False
142 130 Gyarados Water Flying 540 95 125 79 60 100 81 1 False
143 130 GyaradosMega Gyarados Water Dark 640 95 155 109 70 130 81 1 False
144 131 Lapras Water Ice 535 130 85 80 85 95 60 1 False
145 132 Ditto Normal 288 48 48 48 48 48 48 1 False
146 133 Eevee Normal 325 55 55 50 45 65 55 1 False
147 134 Vaporeon Water 525 130 65 60 110 95 65 1 False
148 135 Jolteon Electric 525 65 65 60 110 95 130 1 False
149 136 Flareon Fire 525 65 130 60 95 110 65 1 False
150 137 Porygon Normal 395 65 60 70 85 75 40 1 False
151 138 Omanyte Rock Water 355 35 40 100 90 55 35 1 False
152 139 Omastar Rock Water 495 70 60 125 115 70 55 1 False
153 140 Kabuto Rock Water 355 30 80 90 55 45 55 1 False
154 141 Kabutops Rock Water 495 60 115 105 65 70 80 1 False
155 142 Aerodactyl Rock Flying 515 80 105 65 60 75 130 1 False
156 142 AerodactylMega Aerodactyl Rock Flying 615 80 135 85 70 95 150 1 False
157 143 Snorlax Normal 540 160 110 65 65 110 30 1 False
158 144 Articuno Ice Flying 580 90 85 100 95 125 85 1 True
159 145 Zapdos Electric Flying 580 90 90 85 125 90 100 1 True
160 146 Moltres Fire Flying 580 90 100 90 125 85 90 1 True
161 147 Dratini Dragon 300 41 64 45 50 50 50 1 False
162 148 Dragonair Dragon 420 61 84 65 70 70 70 1 False
163 149 Dragonite Dragon Flying 600 91 134 95 100 100 80 1 False
164 150 Mewtwo Psychic 680 106 110 90 154 90 130 1 True
165 150 MewtwoMega Mewtwo X Psychic Fighting 780 106 190 100 154 100 130 1 True
166 150 MewtwoMega Mewtwo Y Psychic 780 106 150 70 194 120 140 1 True
167 151 Mew Psychic 600 100 100 100 100 100 100 1 False
168 152 Chikorita Grass 318 45 49 65 49 65 45 2 False
169 153 Bayleef Grass 405 60 62 80 63 80 60 2 False
170 154 Meganium Grass 525 80 82 100 83 100 80 2 False
171 155 Cyndaquil Fire 309 39 52 43 60 50 65 2 False
172 156 Quilava Fire 405 58 64 58 80 65 80 2 False
173 157 Typhlosion Fire 534 78 84 78 109 85 100 2 False
174 158 Totodile Water 314 50 65 64 44 48 43 2 False
175 159 Croconaw Water 405 65 80 80 59 63 58 2 False
176 160 Feraligatr Water 530 85 105 100 79 83 78 2 False
177 161 Sentret Normal 215 35 46 34 35 45 20 2 False
178 162 Furret Normal 415 85 76 64 45 55 90 2 False
179 163 Hoothoot Normal Flying 262 60 30 30 36 56 50 2 False
180 164 Noctowl Normal Flying 442 100 50 50 76 96 70 2 False
181 165 Ledyba Bug Flying 265 40 20 30 40 80 55 2 False
182 166 Ledian Bug Flying 390 55 35 50 55 110 85 2 False
183 167 Spinarak Bug Poison 250 40 60 40 40 40 30 2 False
184 168 Ariados Bug Poison 390 70 90 70 60 60 40 2 False
185 169 Crobat Poison Flying 535 85 90 80 70 80 130 2 False
186 170 Chinchou Water Electric 330 75 38 38 56 56 67 2 False
187 171 Lanturn Water Electric 460 125 58 58 76 76 67 2 False
188 172 Pichu Electric 205 20 40 15 35 35 60 2 False
189 173 Cleffa Fairy 218 50 25 28 45 55 15 2 False
190 174 Igglybuff Normal Fairy 210 90 30 15 40 20 15 2 False
191 175 Togepi Fairy 245 35 20 65 40 65 20 2 False
192 176 Togetic Fairy Flying 405 55 40 85 80 105 40 2 False
193 177 Natu Psychic Flying 320 40 50 45 70 45 70 2 False
194 178 Xatu Psychic Flying 470 65 75 70 95 70 95 2 False
195 179 Mareep Electric 280 55 40 40 65 45 35 2 False
196 180 Flaaffy Electric 365 70 55 55 80 60 45 2 False
197 181 Ampharos Electric 510 90 75 85 115 90 55 2 False
198 181 AmpharosMega Ampharos Electric Dragon 610 90 95 105 165 110 45 2 False
199 182 Bellossom Grass 490 75 80 95 90 100 50 2 False
200 183 Marill Water Fairy 250 70 20 50 20 50 40 2 False
201 184 Azumarill Water Fairy 420 100 50 80 60 80 50 2 False
202 185 Sudowoodo Rock 410 70 100 115 30 65 30 2 False
203 186 Politoed Water 500 90 75 75 90 100 70 2 False
204 187 Hoppip Grass Flying 250 35 35 40 35 55 50 2 False
205 188 Skiploom Grass Flying 340 55 45 50 45 65 80 2 False
206 189 Jumpluff Grass Flying 460 75 55 70 55 95 110 2 False
207 190 Aipom Normal 360 55 70 55 40 55 85 2 False
208 191 Sunkern Grass 180 30 30 30 30 30 30 2 False
209 192 Sunflora Grass 425 75 75 55 105 85 30 2 False
210 193 Yanma Bug Flying 390 65 65 45 75 45 95 2 False
211 194 Wooper Water Ground 210 55 45 45 25 25 15 2 False
212 195 Quagsire Water Ground 430 95 85 85 65 65 35 2 False
213 196 Espeon Psychic 525 65 65 60 130 95 110 2 False
214 197 Umbreon Dark 525 95 65 110 60 130 65 2 False
215 198 Murkrow Dark Flying 405 60 85 42 85 42 91 2 False
216 199 Slowking Water Psychic 490 95 75 80 100 110 30 2 False
217 200 Misdreavus Ghost 435 60 60 60 85 85 85 2 False
218 201 Unown Psychic 336 48 72 48 72 48 48 2 False
219 202 Wobbuffet Psychic 405 190 33 58 33 58 33 2 False
220 203 Girafarig Normal Psychic 455 70 80 65 90 65 85 2 False
221 204 Pineco Bug 290 50 65 90 35 35 15 2 False
222 205 Forretress Bug Steel 465 75 90 140 60 60 40 2 False
223 206 Dunsparce Normal 415 100 70 70 65 65 45 2 False
224 207 Gligar Ground Flying 430 65 75 105 35 65 85 2 False
225 208 Steelix Steel Ground 510 75 85 200 55 65 30 2 False
226 208 SteelixMega Steelix Steel Ground 610 75 125 230 55 95 30 2 False
227 209 Snubbull Fairy 300 60 80 50 40 40 30 2 False
228 210 Granbull Fairy 450 90 120 75 60 60 45 2 False
229 211 Qwilfish Water Poison 430 65 95 75 55 55 85 2 False
230 212 Scizor Bug Steel 500 70 130 100 55 80 65 2 False
231 212 ScizorMega Scizor Bug Steel 600 70 150 140 65 100 75 2 False
232 213 Shuckle Bug Rock 505 20 10 230 10 230 5 2 False
233 214 Heracross Bug Fighting 500 80 125 75 40 95 85 2 False
234 214 HeracrossMega Heracross Bug Fighting 600 80 185 115 40 105 75 2 False
235 215 Sneasel Dark Ice 430 55 95 55 35 75 115 2 False
236 216 Teddiursa Normal 330 60 80 50 50 50 40 2 False
237 217 Ursaring Normal 500 90 130 75 75 75 55 2 False
238 218 Slugma Fire 250 40 40 40 70 40 20 2 False
239 219 Magcargo Fire Rock 410 50 50 120 80 80 30 2 False
240 220 Swinub Ice Ground 250 50 50 40 30 30 50 2 False
241 221 Piloswine Ice Ground 450 100 100 80 60 60 50 2 False
242 222 Corsola Water Rock 380 55 55 85 65 85 35 2 False
243 223 Remoraid Water 300 35 65 35 65 35 65 2 False
244 224 Octillery Water 480 75 105 75 105 75 45 2 False
245 225 Delibird Ice Flying 330 45 55 45 65 45 75 2 False
246 226 Mantine Water Flying 465 65 40 70 80 140 70 2 False
247 227 Skarmory Steel Flying 465 65 80 140 40 70 70 2 False
248 228 Houndour Dark Fire 330 45 60 30 80 50 65 2 False
249 229 Houndoom Dark Fire 500 75 90 50 110 80 95 2 False
250 229 HoundoomMega Houndoom Dark Fire 600 75 90 90 140 90 115 2 False
251 230 Kingdra Water Dragon 540 75 95 95 95 95 85 2 False
252 231 Phanpy Ground 330 90 60 60 40 40 40 2 False
253 232 Donphan Ground 500 90 120 120 60 60 50 2 False
254 233 Porygon2 Normal 515 85 80 90 105 95 60 2 False
255 234 Stantler Normal 465 73 95 62 85 65 85 2 False
256 235 Smeargle Normal 250 55 20 35 20 45 75 2 False
257 236 Tyrogue Fighting 210 35 35 35 35 35 35 2 False
258 237 Hitmontop Fighting 455 50 95 95 35 110 70 2 False
259 238 Smoochum Ice Psychic 305 45 30 15 85 65 65 2 False
260 239 Elekid Electric 360 45 63 37 65 55 95 2 False
261 240 Magby Fire 365 45 75 37 70 55 83 2 False
262 241 Miltank Normal 490 95 80 105 40 70 100 2 False
263 242 Blissey Normal 540 255 10 10 75 135 55 2 False
264 243 Raikou Electric 580 90 85 75 115 100 115 2 True
265 244 Entei Fire 580 115 115 85 90 75 100 2 True
266 245 Suicune Water 580 100 75 115 90 115 85 2 True
267 246 Larvitar Rock Ground 300 50 64 50 45 50 41 2 False
268 247 Pupitar Rock Ground 410 70 84 70 65 70 51 2 False
269 248 Tyranitar Rock Dark 600 100 134 110 95 100 61 2 False
270 248 TyranitarMega Tyranitar Rock Dark 700 100 164 150 95 120 71 2 False
271 249 Lugia Psychic Flying 680 106 90 130 90 154 110 2 True
272 250 Ho-oh Fire Flying 680 106 130 90 110 154 90 2 True
273 251 Celebi Psychic Grass 600 100 100 100 100 100 100 2 False
274 252 Treecko Grass 310 40 45 35 65 55 70 3 False
275 253 Grovyle Grass 405 50 65 45 85 65 95 3 False
276 254 Sceptile Grass 530 70 85 65 105 85 120 3 False
277 254 SceptileMega Sceptile Grass Dragon 630 70 110 75 145 85 145 3 False
278 255 Torchic Fire 310 45 60 40 70 50 45 3 False
279 256 Combusken Fire Fighting 405 60 85 60 85 60 55 3 False
280 257 Blaziken Fire Fighting 530 80 120 70 110 70 80 3 False
281 257 BlazikenMega Blaziken Fire Fighting 630 80 160 80 130 80 100 3 False
282 258 Mudkip Water 310 50 70 50 50 50 40 3 False
283 259 Marshtomp Water Ground 405 70 85 70 60 70 50 3 False
284 260 Swampert Water Ground 535 100 110 90 85 90 60 3 False
285 260 SwampertMega Swampert Water Ground 635 100 150 110 95 110 70 3 False
286 261 Poochyena Dark 220 35 55 35 30 30 35 3 False
287 262 Mightyena Dark 420 70 90 70 60 60 70 3 False
288 263 Zigzagoon Normal 240 38 30 41 30 41 60 3 False
289 264 Linoone Normal 420 78 70 61 50 61 100 3 False
290 265 Wurmple Bug 195 45 45 35 20 30 20 3 False
291 266 Silcoon Bug 205 50 35 55 25 25 15 3 False
292 267 Beautifly Bug Flying 395 60 70 50 100 50 65 3 False
293 268 Cascoon Bug 205 50 35 55 25 25 15 3 False
294 269 Dustox Bug Poison 385 60 50 70 50 90 65 3 False
295 270 Lotad Water Grass 220 40 30 30 40 50 30 3 False
296 271 Lombre Water Grass 340 60 50 50 60 70 50 3 False
297 272 Ludicolo Water Grass 480 80 70 70 90 100 70 3 False
298 273 Seedot Grass 220 40 40 50 30 30 30 3 False
299 274 Nuzleaf Grass Dark 340 70 70 40 60 40 60 3 False
300 275 Shiftry Grass Dark 480 90 100 60 90 60 80 3 False
301 276 Taillow Normal Flying 270 40 55 30 30 30 85 3 False
302 277 Swellow Normal Flying 430 60 85 60 50 50 125 3 False
303 278 Wingull Water Flying 270 40 30 30 55 30 85 3 False
304 279 Pelipper Water Flying 430 60 50 100 85 70 65 3 False
305 280 Ralts Psychic Fairy 198 28 25 25 45 35 40 3 False
306 281 Kirlia Psychic Fairy 278 38 35 35 65 55 50 3 False
307 282 Gardevoir Psychic Fairy 518 68 65 65 125 115 80 3 False
308 282 GardevoirMega Gardevoir Psychic Fairy 618 68 85 65 165 135 100 3 False
309 283 Surskit Bug Water 269 40 30 32 50 52 65 3 False
310 284 Masquerain Bug Flying 414 70 60 62 80 82 60 3 False
311 285 Shroomish Grass 295 60 40 60 40 60 35 3 False
312 286 Breloom Grass Fighting 460 60 130 80 60 60 70 3 False
313 287 Slakoth Normal 280 60 60 60 35 35 30 3 False
314 288 Vigoroth Normal 440 80 80 80 55 55 90 3 False
315 289 Slaking Normal 670 150 160 100 95 65 100 3 False
316 290 Nincada Bug Ground 266 31 45 90 30 30 40 3 False
317 291 Ninjask Bug Flying 456 61 90 45 50 50 160 3 False
318 292 Shedinja Bug Ghost 236 1 90 45 30 30 40 3 False
319 293 Whismur Normal 240 64 51 23 51 23 28 3 False
320 294 Loudred Normal 360 84 71 43 71 43 48 3 False
321 295 Exploud Normal 490 104 91 63 91 73 68 3 False
322 296 Makuhita Fighting 237 72 60 30 20 30 25 3 False
323 297 Hariyama Fighting 474 144 120 60 40 60 50 3 False
324 298 Azurill Normal Fairy 190 50 20 40 20 40 20 3 False
325 299 Nosepass Rock 375 30 45 135 45 90 30 3 False
326 300 Skitty Normal 260 50 45 45 35 35 50 3 False
327 301 Delcatty Normal 380 70 65 65 55 55 70 3 False
328 302 Sableye Dark Ghost 380 50 75 75 65 65 50 3 False
329 302 SableyeMega Sableye Dark Ghost 480 50 85 125 85 115 20 3 False
330 303 Mawile Steel Fairy 380 50 85 85 55 55 50 3 False
331 303 MawileMega Mawile Steel Fairy 480 50 105 125 55 95 50 3 False
332 304 Aron Steel Rock 330 50 70 100 40 40 30 3 False
333 305 Lairon Steel Rock 430 60 90 140 50 50 40 3 False
334 306 Aggron Steel Rock 530 70 110 180 60 60 50 3 False
335 306 AggronMega Aggron Steel 630 70 140 230 60 80 50 3 False
336 307 Meditite Fighting Psychic 280 30 40 55 40 55 60 3 False
337 308 Medicham Fighting Psychic 410 60 60 75 60 75 80 3 False
338 308 MedichamMega Medicham Fighting Psychic 510 60 100 85 80 85 100 3 False
339 309 Electrike Electric 295 40 45 40 65 40 65 3 False
340 310 Manectric Electric 475 70 75 60 105 60 105 3 False
341 310 ManectricMega Manectric Electric 575 70 75 80 135 80 135 3 False
342 311 Plusle Electric 405 60 50 40 85 75 95 3 False
343 312 Minun Electric 405 60 40 50 75 85 95 3 False
344 313 Volbeat Bug 400 65 73 55 47 75 85 3 False
345 314 Illumise Bug 400 65 47 55 73 75 85 3 False
346 315 Roselia Grass Poison 400 50 60 45 100 80 65 3 False
347 316 Gulpin Poison 302 70 43 53 43 53 40 3 False
348 317 Swalot Poison 467 100 73 83 73 83 55 3 False
349 318 Carvanha Water Dark 305 45 90 20 65 20 65 3 False
350 319 Sharpedo Water Dark 460 70 120 40 95 40 95 3 False
351 319 SharpedoMega Sharpedo Water Dark 560 70 140 70 110 65 105 3 False
352 320 Wailmer Water 400 130 70 35 70 35 60 3 False
353 321 Wailord Water 500 170 90 45 90 45 60 3 False
354 322 Numel Fire Ground 305 60 60 40 65 45 35 3 False
355 323 Camerupt Fire Ground 460 70 100 70 105 75 40 3 False
356 323 CameruptMega Camerupt Fire Ground 560 70 120 100 145 105 20 3 False
357 324 Torkoal Fire 470 70 85 140 85 70 20 3 False
358 325 Spoink Psychic 330 60 25 35 70 80 60 3 False
359 326 Grumpig Psychic 470 80 45 65 90 110 80 3 False
360 327 Spinda Normal 360 60 60 60 60 60 60 3 False
361 328 Trapinch Ground 290 45 100 45 45 45 10 3 False
362 329 Vibrava Ground Dragon 340 50 70 50 50 50 70 3 False
363 330 Flygon Ground Dragon 520 80 100 80 80 80 100 3 False
364 331 Cacnea Grass 335 50 85 40 85 40 35 3 False
365 332 Cacturne Grass Dark 475 70 115 60 115 60 55 3 False
366 333 Swablu Normal Flying 310 45 40 60 40 75 50 3 False
367 334 Altaria Dragon Flying 490 75 70 90 70 105 80 3 False
368 334 AltariaMega Altaria Dragon Fairy 590 75 110 110 110 105 80 3 False
369 335 Zangoose Normal 458 73 115 60 60 60 90 3 False
370 336 Seviper Poison 458 73 100 60 100 60 65 3 False
371 337 Lunatone Rock Psychic 440 70 55 65 95 85 70 3 False
372 338 Solrock Rock Psychic 440 70 95 85 55 65 70 3 False
373 339 Barboach Water Ground 288 50 48 43 46 41 60 3 False
374 340 Whiscash Water Ground 468 110 78 73 76 71 60 3 False
375 341 Corphish Water 308 43 80 65 50 35 35 3 False
376 342 Crawdaunt Water Dark 468 63 120 85 90 55 55 3 False
377 343 Baltoy Ground Psychic 300 40 40 55 40 70 55 3 False
378 344 Claydol Ground Psychic 500 60 70 105 70 120 75 3 False
379 345 Lileep Rock Grass 355 66 41 77 61 87 23 3 False
380 346 Cradily Rock Grass 495 86 81 97 81 107 43 3 False
381 347 Anorith Rock Bug 355 45 95 50 40 50 75 3 False
382 348 Armaldo Rock Bug 495 75 125 100 70 80 45 3 False
383 349 Feebas Water 200 20 15 20 10 55 80 3 False
384 350 Milotic Water 540 95 60 79 100 125 81 3 False
385 351 Castform Normal 420 70 70 70 70 70 70 3 False
386 352 Kecleon Normal 440 60 90 70 60 120 40 3 False
387 353 Shuppet Ghost 295 44 75 35 63 33 45 3 False
388 354 Banette Ghost 455 64 115 65 83 63 65 3 False
389 354 BanetteMega Banette Ghost 555 64 165 75 93 83 75 3 False
390 355 Duskull Ghost 295 20 40 90 30 90 25 3 False
391 356 Dusclops Ghost 455 40 70 130 60 130 25 3 False
392 357 Tropius Grass Flying 460 99 68 83 72 87 51 3 False
393 358 Chimecho Psychic 425 65 50 70 95 80 65 3 False
394 359 Absol Dark 465 65 130 60 75 60 75 3 False
395 359 AbsolMega Absol Dark 565 65 150 60 115 60 115 3 False
396 360 Wynaut Psychic 260 95 23 48 23 48 23 3 False
397 361 Snorunt Ice 300 50 50 50 50 50 50 3 False
398 362 Glalie Ice 480 80 80 80 80 80 80 3 False
399 362 GlalieMega Glalie Ice 580 80 120 80 120 80 100 3 False
400 363 Spheal Ice Water 290 70 40 50 55 50 25 3 False
401 364 Sealeo Ice Water 410 90 60 70 75 70 45 3 False
402 365 Walrein Ice Water 530 110 80 90 95 90 65 3 False
403 366 Clamperl Water 345 35 64 85 74 55 32 3 False
404 367 Huntail Water 485 55 104 105 94 75 52 3 False
405 368 Gorebyss Water 485 55 84 105 114 75 52 3 False
406 369 Relicanth Water Rock 485 100 90 130 45 65 55 3 False
407 370 Luvdisc Water 330 43 30 55 40 65 97 3 False
408 371 Bagon Dragon 300 45 75 60 40 30 50 3 False
409 372 Shelgon Dragon 420 65 95 100 60 50 50 3 False
410 373 Salamence Dragon Flying 600 95 135 80 110 80 100 3 False
411 373 SalamenceMega Salamence Dragon Flying 700 95 145 130 120 90 120 3 False
412 374 Beldum Steel Psychic 300 40 55 80 35 60 30 3 False
413 375 Metang Steel Psychic 420 60 75 100 55 80 50 3 False
414 376 Metagross Steel Psychic 600 80 135 130 95 90 70 3 False
415 376 MetagrossMega Metagross Steel Psychic 700 80 145 150 105 110 110 3 False
416 377 Regirock Rock 580 80 100 200 50 100 50 3 True
417 378 Regice Ice 580 80 50 100 100 200 50 3 True
418 379 Registeel Steel 580 80 75 150 75 150 50 3 True
419 380 Latias Dragon Psychic 600 80 80 90 110 130 110 3 True
420 380 LatiasMega Latias Dragon Psychic 700 80 100 120 140 150 110 3 True
421 381 Latios Dragon Psychic 600 80 90 80 130 110 110 3 True
422 381 LatiosMega Latios Dragon Psychic 700 80 130 100 160 120 110 3 True
423 382 Kyogre Water 670 100 100 90 150 140 90 3 True
424 382 KyogrePrimal Kyogre Water 770 100 150 90 180 160 90 3 True
425 383 Groudon Ground 670 100 150 140 100 90 90 3 True
426 383 GroudonPrimal Groudon Ground Fire 770 100 180 160 150 90 90 3 True
427 384 Rayquaza Dragon Flying 680 105 150 90 150 90 95 3 True
428 384 RayquazaMega Rayquaza Dragon Flying 780 105 180 100 180 100 115 3 True
429 385 Jirachi Steel Psychic 600 100 100 100 100 100 100 3 True
430 386 DeoxysNormal Forme Psychic 600 50 150 50 150 50 150 3 True
431 386 DeoxysAttack Forme Psychic 600 50 180 20 180 20 150 3 True
432 386 DeoxysDefense Forme Psychic 600 50 70 160 70 160 90 3 True
433 386 DeoxysSpeed Forme Psychic 600 50 95 90 95 90 180 3 True
434 387 Turtwig Grass 318 55 68 64 45 55 31 4 False
435 388 Grotle Grass 405 75 89 85 55 65 36 4 False
436 389 Torterra Grass Ground 525 95 109 105 75 85 56 4 False
437 390 Chimchar Fire 309 44 58 44 58 44 61 4 False
438 391 Monferno Fire Fighting 405 64 78 52 78 52 81 4 False
439 392 Infernape Fire Fighting 534 76 104 71 104 71 108 4 False
440 393 Piplup Water 314 53 51 53 61 56 40 4 False
441 394 Prinplup Water 405 64 66 68 81 76 50 4 False
442 395 Empoleon Water Steel 530 84 86 88 111 101 60 4 False
443 396 Starly Normal Flying 245 40 55 30 30 30 60 4 False
444 397 Staravia Normal Flying 340 55 75 50 40 40 80 4 False
445 398 Staraptor Normal Flying 485 85 120 70 50 60 100 4 False
446 399 Bidoof Normal 250 59 45 40 35 40 31 4 False
447 400 Bibarel Normal Water 410 79 85 60 55 60 71 4 False
448 401 Kricketot Bug 194 37 25 41 25 41 25 4 False
449 402 Kricketune Bug 384 77 85 51 55 51 65 4 False
450 403 Shinx Electric 263 45 65 34 40 34 45 4 False
451 404 Luxio Electric 363 60 85 49 60 49 60 4 False
452 405 Luxray Electric 523 80 120 79 95 79 70 4 False
453 406 Budew Grass Poison 280 40 30 35 50 70 55 4 False
454 407 Roserade Grass Poison 515 60 70 65 125 105 90 4 False
455 408 Cranidos Rock 350 67 125 40 30 30 58 4 False
456 409 Rampardos Rock 495 97 165 60 65 50 58 4 False
457 410 Shieldon Rock Steel 350 30 42 118 42 88 30 4 False
458 411 Bastiodon Rock Steel 495 60 52 168 47 138 30 4 False
459 412 Burmy Bug 224 40 29 45 29 45 36 4 False
460 413 WormadamPlant Cloak Bug Grass 424 60 59 85 79 105 36 4 False
461 413 WormadamSandy Cloak Bug Ground 424 60 79 105 59 85 36 4 False
462 413 WormadamTrash Cloak Bug Steel 424 60 69 95 69 95 36 4 False
463 414 Mothim Bug Flying 424 70 94 50 94 50 66 4 False
464 415 Combee Bug Flying 244 30 30 42 30 42 70 4 False
465 416 Vespiquen Bug Flying 474 70 80 102 80 102 40 4 False
466 417 Pachirisu Electric 405 60 45 70 45 90 95 4 False
467 418 Buizel Water 330 55 65 35 60 30 85 4 False
468 419 Floatzel Water 495 85 105 55 85 50 115 4 False
469 420 Cherubi Grass 275 45 35 45 62 53 35 4 False
470 421 Cherrim Grass 450 70 60 70 87 78 85 4 False
471 422 Shellos Water 325 76 48 48 57 62 34 4 False
472 423 Gastrodon Water Ground 475 111 83 68 92 82 39 4 False
473 424 Ambipom Normal 482 75 100 66 60 66 115 4 False
474 425 Drifloon Ghost Flying 348 90 50 34 60 44 70 4 False
475 426 Drifblim Ghost Flying 498 150 80 44 90 54 80 4 False
476 427 Buneary Normal 350 55 66 44 44 56 85 4 False
477 428 Lopunny Normal 480 65 76 84 54 96 105 4 False
478 428 LopunnyMega Lopunny Normal Fighting 580 65 136 94 54 96 135 4 False
479 429 Mismagius Ghost 495 60 60 60 105 105 105 4 False
480 430 Honchkrow Dark Flying 505 100 125 52 105 52 71 4 False
481 431 Glameow Normal 310 49 55 42 42 37 85 4 False
482 432 Purugly Normal 452 71 82 64 64 59 112 4 False
483 433 Chingling Psychic 285 45 30 50 65 50 45 4 False
484 434 Stunky Poison Dark 329 63 63 47 41 41 74 4 False
485 435 Skuntank Poison Dark 479 103 93 67 71 61 84 4 False
486 436 Bronzor Steel Psychic 300 57 24 86 24 86 23 4 False
487 437 Bronzong Steel Psychic 500 67 89 116 79 116 33 4 False
488 438 Bonsly Rock 290 50 80 95 10 45 10 4 False
489 439 Mime Jr. Psychic Fairy 310 20 25 45 70 90 60 4 False
490 440 Happiny Normal 220 100 5 5 15 65 30 4 False
491 441 Chatot Normal Flying 411 76 65 45 92 42 91 4 False
492 442 Spiritomb Ghost Dark 485 50 92 108 92 108 35 4 False
493 443 Gible Dragon Ground 300 58 70 45 40 45 42 4 False
494 444 Gabite Dragon Ground 410 68 90 65 50 55 82 4 False
495 445 Garchomp Dragon Ground 600 108 130 95 80 85 102 4 False
496 445 GarchompMega Garchomp Dragon Ground 700 108 170 115 120 95 92 4 False
497 446 Munchlax Normal 390 135 85 40 40 85 5 4 False
498 447 Riolu Fighting 285 40 70 40 35 40 60 4 False
499 448 Lucario Fighting Steel 525 70 110 70 115 70 90 4 False
500 448 LucarioMega Lucario Fighting Steel 625 70 145 88 140 70 112 4 False
501 449 Hippopotas Ground 330 68 72 78 38 42 32 4 False
502 450 Hippowdon Ground 525 108 112 118 68 72 47 4 False
503 451 Skorupi Poison Bug 330 40 50 90 30 55 65 4 False
504 452 Drapion Poison Dark 500 70 90 110 60 75 95 4 False
505 453 Croagunk Poison Fighting 300 48 61 40 61 40 50 4 False
506 454 Toxicroak Poison Fighting 490 83 106 65 86 65 85 4 False
507 455 Carnivine Grass 454 74 100 72 90 72 46 4 False
508 456 Finneon Water 330 49 49 56 49 61 66 4 False
509 457 Lumineon Water 460 69 69 76 69 86 91 4 False
510 458 Mantyke Water Flying 345 45 20 50 60 120 50 4 False
511 459 Snover Grass Ice 334 60 62 50 62 60 40 4 False
512 460 Abomasnow Grass Ice 494 90 92 75 92 85 60 4 False
513 460 AbomasnowMega Abomasnow Grass Ice 594 90 132 105 132 105 30 4 False
514 461 Weavile Dark Ice 510 70 120 65 45 85 125 4 False
515 462 Magnezone Electric Steel 535 70 70 115 130 90 60 4 False
516 463 Lickilicky Normal 515 110 85 95 80 95 50 4 False
517 464 Rhyperior Ground Rock 535 115 140 130 55 55 40 4 False
518 465 Tangrowth Grass 535 100 100 125 110 50 50 4 False
519 466 Electivire Electric 540 75 123 67 95 85 95 4 False
520 467 Magmortar Fire 540 75 95 67 125 95 83 4 False
521 468 Togekiss Fairy Flying 545 85 50 95 120 115 80 4 False
522 469 Yanmega Bug Flying 515 86 76 86 116 56 95 4 False
523 470 Leafeon Grass 525 65 110 130 60 65 95 4 False
524 471 Glaceon Ice 525 65 60 110 130 95 65 4 False
525 472 Gliscor Ground Flying 510 75 95 125 45 75 95 4 False
526 473 Mamoswine Ice Ground 530 110 130 80 70 60 80 4 False
527 474 Porygon-Z Normal 535 85 80 70 135 75 90 4 False
528 475 Gallade Psychic Fighting 518 68 125 65 65 115 80 4 False
529 475 GalladeMega Gallade Psychic Fighting 618 68 165 95 65 115 110 4 False
530 476 Probopass Rock Steel 525 60 55 145 75 150 40 4 False
531 477 Dusknoir Ghost 525 45 100 135 65 135 45 4 False
532 478 Froslass Ice Ghost 480 70 80 70 80 70 110 4 False
533 479 Rotom Electric Ghost 440 50 50 77 95 77 91 4 False
534 479 RotomHeat Rotom Electric Fire 520 50 65 107 105 107 86 4 False
535 479 RotomWash Rotom Electric Water 520 50 65 107 105 107 86 4 False
536 479 RotomFrost Rotom Electric Ice 520 50 65 107 105 107 86 4 False
537 479 RotomFan Rotom Electric Flying 520 50 65 107 105 107 86 4 False
538 479 RotomMow Rotom Electric Grass 520 50 65 107 105 107 86 4 False
539 480 Uxie Psychic 580 75 75 130 75 130 95 4 True
540 481 Mesprit Psychic 580 80 105 105 105 105 80 4 True
541 482 Azelf Psychic 580 75 125 70 125 70 115 4 True
542 483 Dialga Steel Dragon 680 100 120 120 150 100 90 4 True
543 484 Palkia Water Dragon 680 90 120 100 150 120 100 4 True
544 485 Heatran Fire Steel 600 91 90 106 130 106 77 4 True
545 486 Regigigas Normal 670 110 160 110 80 110 100 4 True
546 487 GiratinaAltered Forme Ghost Dragon 680 150 100 120 100 120 90 4 True
547 487 GiratinaOrigin Forme Ghost Dragon 680 150 120 100 120 100 90 4 True
548 488 Cresselia Psychic 600 120 70 120 75 130 85 4 False
549 489 Phione Water 480 80 80 80 80 80 80 4 False
550 490 Manaphy Water 600 100 100 100 100 100 100 4 False
551 491 Darkrai Dark 600 70 90 90 135 90 125 4 True
552 492 ShayminLand Forme Grass 600 100 100 100 100 100 100 4 True
553 492 ShayminSky Forme Grass Flying 600 100 103 75 120 75 127 4 True
554 493 Arceus Normal 720 120 120 120 120 120 120 4 True
555 494 Victini Psychic Fire 600 100 100 100 100 100 100 5 True
556 495 Snivy Grass 308 45 45 55 45 55 63 5 False
557 496 Servine Grass 413 60 60 75 60 75 83 5 False
558 497 Serperior Grass 528 75 75 95 75 95 113 5 False
559 498 Tepig Fire 308 65 63 45 45 45 45 5 False
560 499 Pignite Fire Fighting 418 90 93 55 70 55 55 5 False
561 500 Emboar Fire Fighting 528 110 123 65 100 65 65 5 False
562 501 Oshawott Water 308 55 55 45 63 45 45 5 False
563 502 Dewott Water 413 75 75 60 83 60 60 5 False
564 503 Samurott Water 528 95 100 85 108 70 70 5 False
565 504 Patrat Normal 255 45 55 39 35 39 42 5 False
566 505 Watchog Normal 420 60 85 69 60 69 77 5 False
567 506 Lillipup Normal 275 45 60 45 25 45 55 5 False
568 507 Herdier Normal 370 65 80 65 35 65 60 5 False
569 508 Stoutland Normal 500 85 110 90 45 90 80 5 False
570 509 Purrloin Dark 281 41 50 37 50 37 66 5 False
571 510 Liepard Dark 446 64 88 50 88 50 106 5 False
572 511 Pansage Grass 316 50 53 48 53 48 64 5 False
573 512 Simisage Grass 498 75 98 63 98 63 101 5 False
574 513 Pansear Fire 316 50 53 48 53 48 64 5 False
575 514 Simisear Fire 498 75 98 63 98 63 101 5 False
576 515 Panpour Water 316 50 53 48 53 48 64 5 False
577 516 Simipour Water 498 75 98 63 98 63 101 5 False
578 517 Munna Psychic 292 76 25 45 67 55 24 5 False
579 518 Musharna Psychic 487 116 55 85 107 95 29 5 False
580 519 Pidove Normal Flying 264 50 55 50 36 30 43 5 False
581 520 Tranquill Normal Flying 358 62 77 62 50 42 65 5 False
582 521 Unfezant Normal Flying 488 80 115 80 65 55 93 5 False
583 522 Blitzle Electric 295 45 60 32 50 32 76 5 False
584 523 Zebstrika Electric 497 75 100 63 80 63 116 5 False
585 524 Roggenrola Rock 280 55 75 85 25 25 15 5 False
586 525 Boldore Rock 390 70 105 105 50 40 20 5 False
587 526 Gigalith Rock 515 85 135 130 60 80 25 5 False
588 527 Woobat Psychic Flying 313 55 45 43 55 43 72 5 False
589 528 Swoobat Psychic Flying 425 67 57 55 77 55 114 5 False
590 529 Drilbur Ground 328 60 85 40 30 45 68 5 False
591 530 Excadrill Ground Steel 508 110 135 60 50 65 88 5 False
592 531 Audino Normal 445 103 60 86 60 86 50 5 False
593 531 AudinoMega Audino Normal Fairy 545 103 60 126 80 126 50 5 False
594 532 Timburr Fighting 305 75 80 55 25 35 35 5 False
595 533 Gurdurr Fighting 405 85 105 85 40 50 40 5 False
596 534 Conkeldurr Fighting 505 105 140 95 55 65 45 5 False
597 535 Tympole Water 294 50 50 40 50 40 64 5 False
598 536 Palpitoad Water Ground 384 75 65 55 65 55 69 5 False
599 537 Seismitoad Water Ground 509 105 95 75 85 75 74 5 False
600 538 Throh Fighting 465 120 100 85 30 85 45 5 False
601 539 Sawk Fighting 465 75 125 75 30 75 85 5 False
602 540 Sewaddle Bug Grass 310 45 53 70 40 60 42 5 False
603 541 Swadloon Bug Grass 380 55 63 90 50 80 42 5 False
604 542 Leavanny Bug Grass 500 75 103 80 70 80 92 5 False
605 543 Venipede Bug Poison 260 30 45 59 30 39 57 5 False
606 544 Whirlipede Bug Poison 360 40 55 99 40 79 47 5 False
607 545 Scolipede Bug Poison 485 60 100 89 55 69 112 5 False
608 546 Cottonee Grass Fairy 280 40 27 60 37 50 66 5 False
609 547 Whimsicott Grass Fairy 480 60 67 85 77 75 116 5 False
610 548 Petilil Grass 280 45 35 50 70 50 30 5 False
611 549 Lilligant Grass 480 70 60 75 110 75 90 5 False
612 550 Basculin Water 460 70 92 65 80 55 98 5 False
613 551 Sandile Ground Dark 292 50 72 35 35 35 65 5 False
614 552 Krokorok Ground Dark 351 60 82 45 45 45 74 5 False
615 553 Krookodile Ground Dark 519 95 117 80 65 70 92 5 False
616 554 Darumaka Fire 315 70 90 45 15 45 50 5 False
617 555 DarmanitanStandard Mode Fire 480 105 140 55 30 55 95 5 False
618 555 DarmanitanZen Mode Fire Psychic 540 105 30 105 140 105 55 5 False
619 556 Maractus Grass 461 75 86 67 106 67 60 5 False
620 557 Dwebble Bug Rock 325 50 65 85 35 35 55 5 False
621 558 Crustle Bug Rock 475 70 95 125 65 75 45 5 False
622 559 Scraggy Dark Fighting 348 50 75 70 35 70 48 5 False
623 560 Scrafty Dark Fighting 488 65 90 115 45 115 58 5 False
624 561 Sigilyph Psychic Flying 490 72 58 80 103 80 97 5 False
625 562 Yamask Ghost 303 38 30 85 55 65 30 5 False
626 563 Cofagrigus Ghost 483 58 50 145 95 105 30 5 False
627 564 Tirtouga Water Rock 355 54 78 103 53 45 22 5 False
628 565 Carracosta Water Rock 495 74 108 133 83 65 32 5 False
629 566 Archen Rock Flying 401 55 112 45 74 45 70 5 False
630 567 Archeops Rock Flying 567 75 140 65 112 65 110 5 False
631 568 Trubbish Poison 329 50 50 62 40 62 65 5 False
632 569 Garbodor Poison 474 80 95 82 60 82 75 5 False
633 570 Zorua Dark 330 40 65 40 80 40 65 5 False
634 571 Zoroark Dark 510 60 105 60 120 60 105 5 False
635 572 Minccino Normal 300 55 50 40 40 40 75 5 False
636 573 Cinccino Normal 470 75 95 60 65 60 115 5 False
637 574 Gothita Psychic 290 45 30 50 55 65 45 5 False
638 575 Gothorita Psychic 390 60 45 70 75 85 55 5 False
639 576 Gothitelle Psychic 490 70 55 95 95 110 65 5 False
640 577 Solosis Psychic 290 45 30 40 105 50 20 5 False
641 578 Duosion Psychic 370 65 40 50 125 60 30 5 False
642 579 Reuniclus Psychic 490 110 65 75 125 85 30 5 False
643 580 Ducklett Water Flying 305 62 44 50 44 50 55 5 False
644 581 Swanna Water Flying 473 75 87 63 87 63 98 5 False
645 582 Vanillite Ice 305 36 50 50 65 60 44 5 False
646 583 Vanillish Ice 395 51 65 65 80 75 59 5 False
647 584 Vanilluxe Ice 535 71 95 85 110 95 79 5 False
648 585 Deerling Normal Grass 335 60 60 50 40 50 75 5 False
649 586 Sawsbuck Normal Grass 475 80 100 70 60 70 95 5 False
650 587 Emolga Electric Flying 428 55 75 60 75 60 103 5 False
651 588 Karrablast Bug 315 50 75 45 40 45 60 5 False
652 589 Escavalier Bug Steel 495 70 135 105 60 105 20 5 False
653 590 Foongus Grass Poison 294 69 55 45 55 55 15 5 False
654 591 Amoonguss Grass Poison 464 114 85 70 85 80 30 5 False
655 592 Frillish Water Ghost 335 55 40 50 65 85 40 5 False
656 593 Jellicent Water Ghost 480 100 60 70 85 105 60 5 False
657 594 Alomomola Water 470 165 75 80 40 45 65 5 False
658 595 Joltik Bug Electric 319 50 47 50 57 50 65 5 False
659 596 Galvantula Bug Electric 472 70 77 60 97 60 108 5 False
660 597 Ferroseed Grass Steel 305 44 50 91 24 86 10 5 False
661 598 Ferrothorn Grass Steel 489 74 94 131 54 116 20 5 False
662 599 Klink Steel 300 40 55 70 45 60 30 5 False
663 600 Klang Steel 440 60 80 95 70 85 50 5 False
664 601 Klinklang Steel 520 60 100 115 70 85 90 5 False
665 602 Tynamo Electric 275 35 55 40 45 40 60 5 False
666 603 Eelektrik Electric 405 65 85 70 75 70 40 5 False
667 604 Eelektross Electric 515 85 115 80 105 80 50 5 False
668 605 Elgyem Psychic 335 55 55 55 85 55 30 5 False
669 606 Beheeyem Psychic 485 75 75 75 125 95 40 5 False
670 607 Litwick Ghost Fire 275 50 30 55 65 55 20 5 False
671 608 Lampent Ghost Fire 370 60 40 60 95 60 55 5 False
672 609 Chandelure Ghost Fire 520 60 55 90 145 90 80 5 False
673 610 Axew Dragon 320 46 87 60 30 40 57 5 False
674 611 Fraxure Dragon 410 66 117 70 40 50 67 5 False
675 612 Haxorus Dragon 540 76 147 90 60 70 97 5 False
676 613 Cubchoo Ice 305 55 70 40 60 40 40 5 False
677 614 Beartic Ice 485 95 110 80 70 80 50 5 False
678 615 Cryogonal Ice 485 70 50 30 95 135 105 5 False
679 616 Shelmet Bug 305 50 40 85 40 65 25 5 False
680 617 Accelgor Bug 495 80 70 40 100 60 145 5 False
681 618 Stunfisk Ground Electric 471 109 66 84 81 99 32 5 False
682 619 Mienfoo Fighting 350 45 85 50 55 50 65 5 False
683 620 Mienshao Fighting 510 65 125 60 95 60 105 5 False
684 621 Druddigon Dragon 485 77 120 90 60 90 48 5 False
685 622 Golett Ground Ghost 303 59 74 50 35 50 35 5 False
686 623 Golurk Ground Ghost 483 89 124 80 55 80 55 5 False
687 624 Pawniard Dark Steel 340 45 85 70 40 40 60 5 False
688 625 Bisharp Dark Steel 490 65 125 100 60 70 70 5 False
689 626 Bouffalant Normal 490 95 110 95 40 95 55 5 False
690 627 Rufflet Normal Flying 350 70 83 50 37 50 60 5 False
691 628 Braviary Normal Flying 510 100 123 75 57 75 80 5 False
692 629 Vullaby Dark Flying 370 70 55 75 45 65 60 5 False
693 630 Mandibuzz Dark Flying 510 110 65 105 55 95 80 5 False
694 631 Heatmor Fire 484 85 97 66 105 66 65 5 False
695 632 Durant Bug Steel 484 58 109 112 48 48 109 5 False
696 633 Deino Dark Dragon 300 52 65 50 45 50 38 5 False
697 634 Zweilous Dark Dragon 420 72 85 70 65 70 58 5 False
698 635 Hydreigon Dark Dragon 600 92 105 90 125 90 98 5 False
699 636 Larvesta Bug Fire 360 55 85 55 50 55 60 5 False
700 637 Volcarona Bug Fire 550 85 60 65 135 105 100 5 False
701 638 Cobalion Steel Fighting 580 91 90 129 90 72 108 5 True
702 639 Terrakion Rock Fighting 580 91 129 90 72 90 108 5 True
703 640 Virizion Grass Fighting 580 91 90 72 90 129 108 5 True
704 641 TornadusIncarnate Forme Flying 580 79 115 70 125 80 111 5 True
705 641 TornadusTherian Forme Flying 580 79 100 80 110 90 121 5 True
706 642 ThundurusIncarnate Forme Electric Flying 580 79 115 70 125 80 111 5 True
707 642 ThundurusTherian Forme Electric Flying 580 79 105 70 145 80 101 5 True
708 643 Reshiram Dragon Fire 680 100 120 100 150 120 90 5 True
709 644 Zekrom Dragon Electric 680 100 150 120 120 100 90 5 True
710 645 LandorusIncarnate Forme Ground Flying 600 89 125 90 115 80 101 5 True
711 645 LandorusTherian Forme Ground Flying 600 89 145 90 105 80 91 5 True
712 646 Kyurem Dragon Ice 660 125 130 90 130 90 95 5 True
713 646 KyuremBlack Kyurem Dragon Ice 700 125 170 100 120 90 95 5 True
714 646 KyuremWhite Kyurem Dragon Ice 700 125 120 90 170 100 95 5 True
715 647 KeldeoOrdinary Forme Water Fighting 580 91 72 90 129 90 108 5 False
716 647 KeldeoResolute Forme Water Fighting 580 91 72 90 129 90 108 5 False
717 648 MeloettaAria Forme Normal Psychic 600 100 77 77 128 128 90 5 False
718 648 MeloettaPirouette Forme Normal Fighting 600 100 128 90 77 77 128 5 False
719 649 Genesect Bug Steel 600 71 120 95 120 95 99 5 False
720 650 Chespin Grass 313 56 61 65 48 45 38 6 False
721 651 Quilladin Grass 405 61 78 95 56 58 57 6 False
722 652 Chesnaught Grass Fighting 530 88 107 122 74 75 64 6 False
723 653 Fennekin Fire 307 40 45 40 62 60 60 6 False
724 654 Braixen Fire 409 59 59 58 90 70 73 6 False
725 655 Delphox Fire Psychic 534 75 69 72 114 100 104 6 False
726 656 Froakie Water 314 41 56 40 62 44 71 6 False
727 657 Frogadier Water 405 54 63 52 83 56 97 6 False
728 658 Greninja Water Dark 530 72 95 67 103 71 122 6 False
729 659 Bunnelby Normal 237 38 36 38 32 36 57 6 False
730 660 Diggersby Normal Ground 423 85 56 77 50 77 78 6 False
731 661 Fletchling Normal Flying 278 45 50 43 40 38 62 6 False
732 662 Fletchinder Fire Flying 382 62 73 55 56 52 84 6 False
733 663 Talonflame Fire Flying 499 78 81 71 74 69 126 6 False
734 664 Scatterbug Bug 200 38 35 40 27 25 35 6 False
735 665 Spewpa Bug 213 45 22 60 27 30 29 6 False
736 666 Vivillon Bug Flying 411 80 52 50 90 50 89 6 False
737 667 Litleo Fire Normal 369 62 50 58 73 54 72 6 False
738 668 Pyroar Fire Normal 507 86 68 72 109 66 106 6 False
739 669 Flabébé Fairy 303 44 38 39 61 79 42 6 False
740 670 Floette Fairy 371 54 45 47 75 98 52 6 False
741 671 Florges Fairy 552 78 65 68 112 154 75 6 False
742 672 Skiddo Grass 350 66 65 48 62 57 52 6 False
743 673 Gogoat Grass 531 123 100 62 97 81 68 6 False
744 674 Pancham Fighting 348 67 82 62 46 48 43 6 False
745 675 Pangoro Fighting Dark 495 95 124 78 69 71 58 6 False
746 676 Furfrou Normal 472 75 80 60 65 90 102 6 False
747 677 Espurr Psychic 355 62 48 54 63 60 68 6 False
748 678 MeowsticMale Psychic 466 74 48 76 83 81 104 6 False
749 678 MeowsticFemale Psychic 466 74 48 76 83 81 104 6 False
750 679 Honedge Steel Ghost 325 45 80 100 35 37 28 6 False
751 680 Doublade Steel Ghost 448 59 110 150 45 49 35 6 False
752 681 AegislashBlade Forme Steel Ghost 520 60 150 50 150 50 60 6 False
753 681 AegislashShield Forme Steel Ghost 520 60 50 150 50 150 60 6 False
754 682 Spritzee Fairy 341 78 52 60 63 65 23 6 False
755 683 Aromatisse Fairy 462 101 72 72 99 89 29 6 False
756 684 Swirlix Fairy 341 62 48 66 59 57 49 6 False
757 685 Slurpuff Fairy 480 82 80 86 85 75 72 6 False
758 686 Inkay Dark Psychic 288 53 54 53 37 46 45 6 False
759 687 Malamar Dark Psychic 482 86 92 88 68 75 73 6 False
760 688 Binacle Rock Water 306 42 52 67 39 56 50 6 False
761 689 Barbaracle Rock Water 500 72 105 115 54 86 68 6 False
762 690 Skrelp Poison Water 320 50 60 60 60 60 30 6 False
763 691 Dragalge Poison Dragon 494 65 75 90 97 123 44 6 False
764 692 Clauncher Water 330 50 53 62 58 63 44 6 False
765 693 Clawitzer Water 500 71 73 88 120 89 59 6 False
766 694 Helioptile Electric Normal 289 44 38 33 61 43 70 6 False
767 695 Heliolisk Electric Normal 481 62 55 52 109 94 109 6 False
768 696 Tyrunt Rock Dragon 362 58 89 77 45 45 48 6 False
769 697 Tyrantrum Rock Dragon 521 82 121 119 69 59 71 6 False
770 698 Amaura Rock Ice 362 77 59 50 67 63 46 6 False
771 699 Aurorus Rock Ice 521 123 77 72 99 92 58 6 False
772 700 Sylveon Fairy 525 95 65 65 110 130 60 6 False
773 701 Hawlucha Fighting Flying 500 78 92 75 74 63 118 6 False
774 702 Dedenne Electric Fairy 431 67 58 57 81 67 101 6 False
775 703 Carbink Rock Fairy 500 50 50 150 50 150 50 6 False
776 704 Goomy Dragon 300 45 50 35 55 75 40 6 False
777 705 Sliggoo Dragon 452 68 75 53 83 113 60 6 False
778 706 Goodra Dragon 600 90 100 70 110 150 80 6 False
779 707 Klefki Steel Fairy 470 57 80 91 80 87 75 6 False
780 708 Phantump Ghost Grass 309 43 70 48 50 60 38 6 False
781 709 Trevenant Ghost Grass 474 85 110 76 65 82 56 6 False
782 710 PumpkabooAverage Size Ghost Grass 335 49 66 70 44 55 51 6 False
783 710 PumpkabooSmall Size Ghost Grass 335 44 66 70 44 55 56 6 False
784 710 PumpkabooLarge Size Ghost Grass 335 54 66 70 44 55 46 6 False
785 710 PumpkabooSuper Size Ghost Grass 335 59 66 70 44 55 41 6 False
786 711 GourgeistAverage Size Ghost Grass 494 65 90 122 58 75 84 6 False
787 711 GourgeistSmall Size Ghost Grass 494 55 85 122 58 75 99 6 False
788 711 GourgeistLarge Size Ghost Grass 494 75 95 122 58 75 69 6 False
789 711 GourgeistSuper Size Ghost Grass 494 85 100 122 58 75 54 6 False
790 712 Bergmite Ice 304 55 69 85 32 35 28 6 False
791 713 Avalugg Ice 514 95 117 184 44 46 28 6 False
792 714 Noibat Flying Dragon 245 40 30 35 45 40 55 6 False
793 715 Noivern Flying Dragon 535 85 70 80 97 80 123 6 False
794 716 Xerneas Fairy 680 126 131 95 131 98 99 6 True
795 717 Yveltal Dark Flying 680 126 131 95 131 98 99 6 True
796 718 Zygarde50% Forme Dragon Ground 600 108 100 121 81 95 95 6 True
797 719 Diancie Rock Fairy 600 50 100 150 100 150 50 6 True
798 719 DiancieMega Diancie Rock Fairy 700 50 160 110 160 110 110 6 True
799 720 HoopaHoopa Confined Psychic Ghost 600 80 110 60 150 130 70 6 True
800 720 HoopaHoopa Unbound Psychic Dark 680 80 160 60 170 130 80 6 True
801 721 Volcanion Fire Water 600 80 110 120 130 90 70 6 True

175
实力学习PandasGUI/dataset_files/seinfeld_episodes.csv Normal file
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@ -0,0 +1,175 @@
Season,EpisodeNo,Title,AirDate,Writers,Director,SEID
1,1,"Good News, Bad News",5-Jul-89,"Larry David, Jerry Seinfeld",Art Wolff,S01E01
1,1,The Stakeout,31-May-90,"Larry David, Jerry Seinfeld",Tom Cherones,S01E01
1,2,The Robbery,7-Jun-90,Matt Goldman,Tom Cherones,S01E02
1,3,Male Unbonding,14-Jun-90,"Larry David, Jerry Seinfeld",Tom Cherones,S01E03
1,4,The Stock Tip,21-Jun-90,"Larry David, Jerry Seinfeld",Tom Cherones,S01E04
2,1,The Ex-Girlfriend,16-Jan-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E01
2,2,The Pony Remark,30-Jan-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E02
2,3,The Jacket,6-Feb-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E03
2,4,The Phone Message,13-Feb-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E04
2,5,The Apartment,4-Apr-91,Peter Mehlman,Tom Cherones,S02E05
2,6,The Statue,11-Apr-91,Larry David,Tom Cherones,S02E06
2,7,The Revenge,18-Apr-91,Larry David,Tom Cherones,S02E07
2,8,The Heart Attack,25-Apr-91,Larry Charles,Tom Cherones,S02E08
2,9,The Deal,2-May-91,Larry Charles,Tom Cherones,S02E09
2,10,The Baby Shower,16-May-91,Larry Charles,Tom Cherones,S02E10
2,11,The Chinese Restaurant,23-May-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E11
2,12,The Busboy,26-Jun-91,"Larry David, Jerry Seinfeld",Tom Cherones,S02E12
3,1,The Note,18-Sep-91,Larry David,Tom Cherones,S03E01
3,2,The Truth,25-Sep-91,Elaine Pope,David Steinberg,S03E02
3,3,The Pen,2-Oct-91,Larry David,Tom Cherones,S03E03
3,4,The Dog,9-Oct-91,Larry David,Tom Cherones,S03E04
3,5,The Library,16-Oct-91,Larry Charles,Joshua White,S03E05
3,6,The Parking Garage,30-Oct-91,Larry David,Tom Cherones,S03E06
3,7,The Cafe,6-Nov-91,Tom Leopold,Tom Cherones,S03E07
3,8,The Tape,13-Nov-91,"Larry David and Bob Shaw, Don McEnery",David&nbsp; Steinberg,S03E08
3,9,The Nose Job,20-Nov-91,Peter Mehlman,Tom Cherones,S03E09
3,10,The Stranded,27-Nov-91,"Larry David, Jerry Seinfeld and Matt Goldman",Tom Cherones,S03E10
3,11,The Alternate Side,4-Dec-91,Larry David and Bill Masters,Tom Cherones,S03E11
3,12,The Red Dot,11-Dec-91,Larry David,Tom Cherones,S03E12
3,13,The Subway,8-Jan-92,Larry David,Tom Cherones,S03E13
3,14,The Pez Dispenser,15-Jan-92,Larry David,Tom Cherones,S03E14
3,15,The Suicide,29-Jan-92,Tom Leopold,Tom Cherones,S03E15
3,16,The Fix-Up,5-Feb-92,"Elaine Pope, Larry Charles",Tom Cherones,S03E16
3,17,The Boyfriend (1),12-Feb-92,Larry David and Larry Levin,Tom Cherones,S03E17
3,18,The Boyfriend (2),12-Feb-92,Larry David and Larry Levin,Tom Cherones,S03E18
3,19,The Limo,26-Feb-92,Larry Charles / Story By Marc Jaffe,Tom Cherones,S03E19
3,20,The Good Samaritan,4-Mar-92,Peter Mehlman,Jason Alexander,S03E20
3,21,The Letter,25-Mar-92,Larry David,Tom Cherones,S03E21
3,22,The Parking Space,22-Apr-92,Larry David and Greg Daniels,Tom Cherones,S03E22
3,23,The Keys,6-May-92,Larry Charles,Tom Cherones,S03E23
4,1,The Trip (1),12-Aug-92,Larry Charles,Tom Cherones,S04E01
4,2,The Trip (2),19-Aug-92,Larry Charles,Tom Cherones,S04E02
4,3,The Pitch,16-Sep-92,Larry Charles,Tom Cherones,S04E03
4,4,The Ticket,16-Sep-92,Larry David,Tom Cherones,S04E04
4,5,The Wallet (1),23-Sep-92,Larry David,Tom Cherones,S04E05
4,6,The Watch (2),30-Sep-92,Larry David,Tom Cherones,S04E06
4,7,The Bubble Boy,7-Oct-92,"Larry David, Larry Charles",Tom Cherones,S04E07
4,8,The Cheever Letters,28-Oct-92,"Larry David, Larry Charles",Tom Cherones,S04E08
4,9,The Opera,4-Nov-92,Larry Charles,Tom Cherones,S04E09
4,10,The Virgin,11-Nov-92,Peter Mehlman,Tom Cherones,S04E10
4,11,The Contest,18-Nov-92,Larry David,Tom Cherones,S04E11
4,12,The Airport,25-Nov-92,Larry Charles,Tom Cherones,S04E12
4,13,The Pick,16-Dec-92,Larry Charles,Tom Cherones,S04E13
4,14,The Movie,6-Jan-93,"Steve Skrovan, Bill Masters, Jon Hayman",Tom Cherones,S04E14
4,15,The Visa,27-Jan-93,Peter Mehlman,Tom Cherones,S04E15
4,16,The Shoes,4-Feb-93,"Larry David, Jerry Seinfeld",Tom Cherones,S04E16
4,17,The Outing,11-Feb-93,Larry Charles,Tom Cherones,S04E17
4,18,The Old Man,18-Feb-93,Bruce Kirschbaum,Tom Cherones,S04E18
4,19,The Implant,25-Feb-93,Peter Mehlman,Tom Cherones,S04E19
4,20,The Junior Mint,18-Mar-93,Andy Robin,Tom Cherones,S04E20
4,21,The Smelly Car,15-Apr-93,"Larry David, Peter Mehlman",Tom Cherones,S04E21
4,22,The Handicap Spot,13-May-93,Larry David,Tom Cherones,S04E22
4,23,The Pilot (1),20-May-93,Larry David,Tom Cherones,S04E23
4,24,The Pilot (2),20-May-93,Larry David,Tom Cherones,S04E24
5,1,The Mango,16-Sep-93,"Lawrence H. Levy, Buck Dancer (Larry David pseudonym)",Tom Cherones,S05E01
5,2,The Puffy Shirt,23-Sep-93,Larry David,Tom Cherones,S05E02
5,3,The Glasses,30-Sep-93,"Tom Gammill, Max Pross",Tom Cherones,S05E03
5,4,The Sniffing Accountant,7-Oct-93,"Larry David, Jerry Seinfeld",Tom Cherones,S05E04
5,5,The Bris,14-Oct-93,Larry Charles,Tom Cherones,S05E05
5,6,The Lip Reader,28-Oct-93,Carol Leifer,Tom Cherones,S05E06
5,7,The Non-Fat Yogurt,4-Nov-93,Larry David,Tom Cherones,S05E07
5,8,The Barber,11-Nov-93,Andy Robin,Tom Cherones,S05E08
5,9,The Masseuse,18-Nov-93,Peter Mehlman,Tom Cherones,S05E09
5,10,The Cigar Store Indian,9-Dec-93,"Tom Gammill, Max Pross",Tom Cherones,S05E10
5,11,The Conversion,16-Dec-93,Bruce Kirschbaum,Tom Cherones,S05E11
5,12,The Stall,6-Jan-94,Larry Charles,Tom Cherones,S05E12
5,13,The Dinner Party,3-Feb-94,Larry David,Tom Cherones,S05E13
5,14,The Marine Biologist,10-Feb-94,"Ron Hague, Charlie Rubin",Tom Cherones,S05E14
5,15,The Pie,17-Feb-94,"Tom Gammill, Max Pross",Tom Cherones,S05E15
5,16,The Stand-In,24-Feb-94,Larry David,Tom Cherones,S05E16
5,17,The Wife,17-Mar-94,Peter Mehlman,Tom Cherones,S05E17
5,18,The Raincoats,April 28 1994,"Tom Gammill, Max Pross and Larry David, Jerry Seinfeld",Tom Cherones,S05E18
5,20,The Fire,5-May-94,Larry Charles,Tom Cherones,S05E20
5,21,The Hamptons,12-May-94,"Peter Mehlman, Carol Leifer",Tom Cherones,S05E21
5,22,The Opposite,19-May-94,"Andy Cowan and Larry David, Jerry Seinfeld",Tom Cherones,S05E22
6,1,The Chaperone,22-Sep-94,"Larry David, Bill Masters, Bob Shaw",Andy Ackerman,S06E01
6,2,The Big Salad,29-Sep-94,Larry David,Andy Ackerman,S06E02
6,3,The Pledge Drive,6-Oct-94,"Tom Gammill, Max Pross",Andy Ackerman,S06E03
6,4,The Chinese Woman,13-Oct-94,Peter Mehlman,Andy Ackerman,S06E04
6,5,The Couch,27-Oct-94,Larry David,Andy Ackerman,S06E05
6,6,The Gymnast,3-Nov-94,"Alec Berg, Jeff Schaffer",Andy Ackerman,S06E06
6,7,The Soup,10-Nov-94,Fred Stoller,Andy Ackerman,S06E07
6,8,The Mom &amp; Pop Store,17-Nov-94,"Tom Gammill, Max Pross",Andy Ackerman,S06E08
6,9,The Secretary,8-Dec-94,"Carol Leifer, Marjorie Gross",David Owen Trainor,S06E09
6,10,The Race,15-Dec-94,"Tom Gammill, Max Pross and Larry David",Andy Ackerman,S06E10
6,11,The Switch,5-Jan-95,Bruce Kirschbaum and Sam Kass,Andy Ackerman,S06E11
6,12,The Label Maker,19-Jan-95,"Alec Berg, Jeff Schaffer",Andy Ackerman,S06E12
6,13,The Scofflaw,26-Jan-95,Peter Mehlman,Andy Ackerman,S06E13
6,16,The Beard,9-Feb-95,Carol Leifer,Andy Ackerman,S06E16
6,17,The Kiss Hello,16-Feb-95,"Larry David, Jerry Seinfeld",Andy Ackerman,S06E17
6,18,The Doorman,23-Feb-95,"Tom Gammill, Max Pross",Andy Ackerman,S06E18
6,19,The Jimmy,16-Mar-95,"Gregg Kavet, Andy Robin",Andy Ackerman,S06E19
6,20,The Doodle,6-Apr-95,"Alec Berg, Jeff Schaffer",Andy Ackerman,S06E20
6,21,The Fusilli Jerry,27-Apr-95,Marjorie Gross,Andy Ackerman,S06E21
6,22,The Diplomat's Club,4-May-95,"Tom Gammill, Max Pross",Andy Ackerman,S06E22
6,23,The Face Painter,11-May-95,Larry David,Andy Ackerman,S06E23
6,24,The Understudy,18-May-95,"Marjorie Gross, Carol Leifer",Andy Ackerman,S06E24
7,1,The Engagement,21-Sep-95,Larry David,Andy Ackerman,S07E01
7,2,The Postponement,28-Sep-95,Larry David,Andy Ackerman,S07E02
7,3,The Maestro,5-Oct-95,Larry David,Andy Ackerman,S07E03
7,4,The Wink,12-Oct-95,"Tom Gammill, Max Pross",Andy Ackerman,S07E04
7,5,The Hot Tub,19-Oct-95,"Gregg Kavet, Andy Robin",Andy Ackerman,S07E05
7,6,The Soup Nazi,2-Nov-95,Spike Feresten,Andy Ackerman,S07E06
7,7,The Secret Code,9-Nov-95,"Alec Berg, Jeff Schaffer",Andy Ackerman,S07E07
7,8,The Pool Guy,16-Nov-95,David Mandel,Andy Ackerman,S07E08
7,9,The Sponge,7-Dec-95,Peter Mehlman,Andy Ackerman,S07E09
7,10,The Gum,14-Dec-95,"Tom Gammill, Max Pross",Andy Ackerman,S07E10
7,11,The Rye,4-Jan-96,Carol Leifer,Andy Ackerman,S07E11
7,12,The Caddy,25-Jan-96,"Gregg Kavet, Andy Robin",Andy Ackerman,S07E12
7,13,The Seven,1-Feb-96,"Alec Berg, Jeff Schaffer",Andy Ackerman,S07E13
7,14,The Cadillac (1),8-Feb-96,"Larry David, Jerry Seinfeld",Andy Ackerman,S07E14
7,15,The Cadillac (2),8-Feb-96,"Larry David, Jerry Seinfeld",Andy Ackerman,S07E15
7,16,The Shower Head,15-Feb-96,"Peter Mehlman, Marjorie Gross",Andy Ackerman,S07E16
7,17,The Doll,22-Feb-96,"Tom Gammill, Max Pross",Andy Ackerman,S07E17
7,18,The Friars Club (a.k.a. The Gypsies),7-Mar-96,David Mandel,Andy Ackerman,S07E18
7,19,The Wig Master,4-Apr-96,Spike Feresten,Andy Ackerman,S07E19
7,20,The Calzone,25-Apr-96,"Alec Berg, Jeff Schaffer",Andy Ackerman,S07E20
7,21,The Bottle Deposit (1),2-May-96,"Gregg Kavet, Andy Robin",Andy Ackerman,S07E21
7,22,The Bottle Deposit (2),2-May-96,"Gregg Kavet, Andy Robin",Andy Ackerman,S07E22
7,23,The Wait Out,9-May-96,Peter Mehlman,Andy Ackerman,S07E23
7,24,The Invitations,16-May-96,Larry David,Andy Ackerman,S07E24
8,1,The Foundation,19-Sep-96,"Alec Berg, Jeff Schaffer",Andy Ackerman,S08E01
8,2,The Soul Mate,26-Sep-96,Peter Mehlman,Andy Ackerman,S08E02
8,3,The Bizarro Jerry,3-Oct-96,David Mandel,Andy Ackerman,S08E03
8,4,The Little Kicks,10-Oct-96,Spike Feresten,Andy Ackerman,S08E04
8,5,The Package,17-Oct-96,Jennifer Crittenden,Andy Ackerman,S08E05
8,6,The Fatigues,31-Oct-96,"Gregg Kavet, Andy Robin",Andy Ackerman,S08E06
8,7,The Checks,7-Nov-96,"Steve O'Donnell and Tom Gammill, Max Pross",Andy Ackerman,S08E07
8,8,The Chicken Roaster,14-Nov-96,"Alec Berg, Jeff Schaffer",Andy Ackerman,S08E08
8,9,The Abstinence,21-Nov-96,Steve Koren,Andy Ackerman,S08E09
8,10,The Andrea Doria,19-Dec-96,Spike Feresten,Andy Ackerman,S08E10
8,11,The Little Jerry,9-Jan-97,Jennifer Crittenden,Andy Ackerman,S08E11
8,12,The Money,16-Jan-97,Peter Mehlman,Andy Ackerman,S08E12
8,13,The Comeback,30-Jan-97,"Gregg Kavet, Andy Robin",David Owen Trainor,S08E13
8,14,The Van Buren Boys,6-Feb-97,Darin Henry,Andy Ackerman,S08E14
8,15,The Susie,13-Feb-97,David Mandel,Andy Ackerman,S08E15
8,16,The Pothole,20-Feb-97,Steve O'Donnell and Dan O'Keefe,Andy Ackerman,S08E16
8,17,The English Patient,13-Mar-97,Steve Koren,Andy Ackerman,S08E17
8,18,The Nap,10-Apr-97,"Gregg Kavet, Andy Robin",Andy Ackerman,S08E18
8,19,The Yada Yada,24-Apr-97,Peter Mehlman and Jill Franklyn,Andy Ackerman,S08E19
8,20,The Millennium,1-May-97,Jennifer Crittenden,Andy Ackerman,S08E20
8,21,The Muffin Tops,8-May-97,Spike Feresten,Andy Ackerman,S08E21
8,22,The Summer of George,15-May-97,"Alec Berg, Jeff Schaffer",Andy Ackerman,S08E22
9,1,The Butter Shave,25-Sep-97,"Alec Berg, Jeff Schaffer, David Mandel",Andy Ackerman,S09E01
9,2,The Voice,2-Oct-97,"Alec Berg, Jeff Schaffer, David Mandel",Andy Ackerman,S09E02
9,3,The Serenity Now,9-Oct-97,Steve Koren,Andy Ackerman,S09E03
9,4,The Blood,16-Oct-97,Dan O'Keefe,Andy Ackerman,S09E04
9,5,The Junk Mail,30-Oct-97,Spike Feresten,Andy Ackerman,S09E05
9,6,The Merv Griffin Show,6-Nov-97,Bruce Eric Kaplan,Andy Ackerman,S09E06
9,7,The Slicer,13-Nov-97,"Gregg Kavet, Andy Robin",Andy Ackerman,S09E07
9,8,The Betrayal,20-Nov-97,"David Mandel, Peter Mehlman",Andy Ackerman,S09E08
9,9,The Apology,11-Dec-97,Jennifer Crittenden,Andy Ackerman,S09E09
9,10,The Strike,18-Dec-97,"Dan O'Keefe, Alec Berg, Jeff Schaffer",Andy Ackerman,S09E10
9,11,The Dealership,8-Jan-98,Steve Koren,Andy Ackerman,S09E11
9,12,The Reverse Peephole (a.k.a. The Man Fur),15-Jan-98,Spike Feresten,Andy Ackerman,S09E12
9,13,The Cartoon,29-Jan-98,Bruce Eric Kaplan,Andy Ackerman,S09E13
9,14,The Strongbox,5-Feb-98,Dan O'Keefe,Andy Ackerman,S09E14
9,15,The Wizard,26-Feb-98,Steve Lookner,Andy Ackerman,S09E15
9,16,The Burning,19-Mar-98,Jennifer Crittenden,Andy Ackerman,S09E16
9,17,The Bookstore,9-Apr-98,Spike Feresten,Andy Ackerman,S09E17
9,18,The Frogger,23-Apr-98,"Gregg Kavet, Andy Robin",Andy Ackerman,S09E18
9,19,The Maid,30-Apr-98,"Alec Berg, David Mandel, Jeff Schaffer",Andy Ackerman,S09E19
9,20,The Puerto Rican Day,7-May-98,"Alec Berg, Jennifer Crittenden, Spike Feresten, Bruce Eric Kaplan, Gregg Kavet, Steve Koren, David Mandel, Dan O'Keefe, Andy Robin and Jeff Schaffer.",Andy Ackerman,S09E20
9,23,The Finale,14-May-98,Larry David,Andy Ackerman,S09E23
1 Season EpisodeNo Title AirDate Writers Director SEID
2 1 1 Good News, Bad News 5-Jul-89 Larry David, Jerry Seinfeld Art Wolff S01E01
3 1 1 The Stakeout 31-May-90 Larry David, Jerry Seinfeld Tom Cherones S01E01
4 1 2 The Robbery 7-Jun-90 Matt Goldman Tom Cherones S01E02
5 1 3 Male Unbonding 14-Jun-90 Larry David, Jerry Seinfeld Tom Cherones S01E03
6 1 4 The Stock Tip 21-Jun-90 Larry David, Jerry Seinfeld Tom Cherones S01E04
7 2 1 The Ex-Girlfriend 16-Jan-91 Larry David, Jerry Seinfeld Tom Cherones S02E01
8 2 2 The Pony Remark 30-Jan-91 Larry David, Jerry Seinfeld Tom Cherones S02E02
9 2 3 The Jacket 6-Feb-91 Larry David, Jerry Seinfeld Tom Cherones S02E03
10 2 4 The Phone Message 13-Feb-91 Larry David, Jerry Seinfeld Tom Cherones S02E04
11 2 5 The Apartment 4-Apr-91 Peter Mehlman Tom Cherones S02E05
12 2 6 The Statue 11-Apr-91 Larry David Tom Cherones S02E06
13 2 7 The Revenge 18-Apr-91 Larry David Tom Cherones S02E07
14 2 8 The Heart Attack 25-Apr-91 Larry Charles Tom Cherones S02E08
15 2 9 The Deal 2-May-91 Larry Charles Tom Cherones S02E09
16 2 10 The Baby Shower 16-May-91 Larry Charles Tom Cherones S02E10
17 2 11 The Chinese Restaurant 23-May-91 Larry David, Jerry Seinfeld Tom Cherones S02E11
18 2 12 The Busboy 26-Jun-91 Larry David, Jerry Seinfeld Tom Cherones S02E12
19 3 1 The Note 18-Sep-91 Larry David Tom Cherones S03E01
20 3 2 The Truth 25-Sep-91 Elaine Pope David Steinberg S03E02
21 3 3 The Pen 2-Oct-91 Larry David Tom Cherones S03E03
22 3 4 The Dog 9-Oct-91 Larry David Tom Cherones S03E04
23 3 5 The Library 16-Oct-91 Larry Charles Joshua White S03E05
24 3 6 The Parking Garage 30-Oct-91 Larry David Tom Cherones S03E06
25 3 7 The Cafe 6-Nov-91 Tom Leopold Tom Cherones S03E07
26 3 8 The Tape 13-Nov-91 Larry David and Bob Shaw, Don McEnery David&nbsp; Steinberg S03E08
27 3 9 The Nose Job 20-Nov-91 Peter Mehlman Tom Cherones S03E09
28 3 10 The Stranded 27-Nov-91 Larry David, Jerry Seinfeld and Matt Goldman Tom Cherones S03E10
29 3 11 The Alternate Side 4-Dec-91 Larry David and Bill Masters Tom Cherones S03E11
30 3 12 The Red Dot 11-Dec-91 Larry David Tom Cherones S03E12
31 3 13 The Subway 8-Jan-92 Larry David Tom Cherones S03E13
32 3 14 The Pez Dispenser 15-Jan-92 Larry David Tom Cherones S03E14
33 3 15 The Suicide 29-Jan-92 Tom Leopold Tom Cherones S03E15
34 3 16 The Fix-Up 5-Feb-92 Elaine Pope, Larry Charles Tom Cherones S03E16
35 3 17 The Boyfriend (1) 12-Feb-92 Larry David and Larry Levin Tom Cherones S03E17
36 3 18 The Boyfriend (2) 12-Feb-92 Larry David and Larry Levin Tom Cherones S03E18
37 3 19 The Limo 26-Feb-92 Larry Charles / Story By Marc Jaffe Tom Cherones S03E19
38 3 20 The Good Samaritan 4-Mar-92 Peter Mehlman Jason Alexander S03E20
39 3 21 The Letter 25-Mar-92 Larry David Tom Cherones S03E21
40 3 22 The Parking Space 22-Apr-92 Larry David and Greg Daniels Tom Cherones S03E22
41 3 23 The Keys 6-May-92 Larry Charles Tom Cherones S03E23
42 4 1 The Trip (1) 12-Aug-92 Larry Charles Tom Cherones S04E01
43 4 2 The Trip (2) 19-Aug-92 Larry Charles Tom Cherones S04E02
44 4 3 The Pitch 16-Sep-92 Larry Charles Tom Cherones S04E03
45 4 4 The Ticket 16-Sep-92 Larry David Tom Cherones S04E04
46 4 5 The Wallet (1) 23-Sep-92 Larry David Tom Cherones S04E05
47 4 6 The Watch (2) 30-Sep-92 Larry David Tom Cherones S04E06
48 4 7 The Bubble Boy 7-Oct-92 Larry David, Larry Charles Tom Cherones S04E07
49 4 8 The Cheever Letters 28-Oct-92 Larry David, Larry Charles Tom Cherones S04E08
50 4 9 The Opera 4-Nov-92 Larry Charles Tom Cherones S04E09
51 4 10 The Virgin 11-Nov-92 Peter Mehlman Tom Cherones S04E10
52 4 11 The Contest 18-Nov-92 Larry David Tom Cherones S04E11
53 4 12 The Airport 25-Nov-92 Larry Charles Tom Cherones S04E12
54 4 13 The Pick 16-Dec-92 Larry Charles Tom Cherones S04E13
55 4 14 The Movie 6-Jan-93 Steve Skrovan, Bill Masters, Jon Hayman Tom Cherones S04E14
56 4 15 The Visa 27-Jan-93 Peter Mehlman Tom Cherones S04E15
57 4 16 The Shoes 4-Feb-93 Larry David, Jerry Seinfeld Tom Cherones S04E16
58 4 17 The Outing 11-Feb-93 Larry Charles Tom Cherones S04E17
59 4 18 The Old Man 18-Feb-93 Bruce Kirschbaum Tom Cherones S04E18
60 4 19 The Implant 25-Feb-93 Peter Mehlman Tom Cherones S04E19
61 4 20 The Junior Mint 18-Mar-93 Andy Robin Tom Cherones S04E20
62 4 21 The Smelly Car 15-Apr-93 Larry David, Peter Mehlman Tom Cherones S04E21
63 4 22 The Handicap Spot 13-May-93 Larry David Tom Cherones S04E22
64 4 23 The Pilot (1) 20-May-93 Larry David Tom Cherones S04E23
65 4 24 The Pilot (2) 20-May-93 Larry David Tom Cherones S04E24
66 5 1 The Mango 16-Sep-93 Lawrence H. Levy, Buck Dancer (Larry David pseudonym) Tom Cherones S05E01
67 5 2 The Puffy Shirt 23-Sep-93 Larry David Tom Cherones S05E02
68 5 3 The Glasses 30-Sep-93 Tom Gammill, Max Pross Tom Cherones S05E03
69 5 4 The Sniffing Accountant 7-Oct-93 Larry David, Jerry Seinfeld Tom Cherones S05E04
70 5 5 The Bris 14-Oct-93 Larry Charles Tom Cherones S05E05
71 5 6 The Lip Reader 28-Oct-93 Carol Leifer Tom Cherones S05E06
72 5 7 The Non-Fat Yogurt 4-Nov-93 Larry David Tom Cherones S05E07
73 5 8 The Barber 11-Nov-93 Andy Robin Tom Cherones S05E08
74 5 9 The Masseuse 18-Nov-93 Peter Mehlman Tom Cherones S05E09
75 5 10 The Cigar Store Indian 9-Dec-93 Tom Gammill, Max Pross Tom Cherones S05E10
76 5 11 The Conversion 16-Dec-93 Bruce Kirschbaum Tom Cherones S05E11
77 5 12 The Stall 6-Jan-94 Larry Charles Tom Cherones S05E12
78 5 13 The Dinner Party 3-Feb-94 Larry David Tom Cherones S05E13
79 5 14 The Marine Biologist 10-Feb-94 Ron Hague, Charlie Rubin Tom Cherones S05E14
80 5 15 The Pie 17-Feb-94 Tom Gammill, Max Pross Tom Cherones S05E15
81 5 16 The Stand-In 24-Feb-94 Larry David Tom Cherones S05E16
82 5 17 The Wife 17-Mar-94 Peter Mehlman Tom Cherones S05E17
83 5 18 The Raincoats April 28 1994 Tom Gammill, Max Pross and Larry David, Jerry Seinfeld Tom Cherones S05E18
84 5 20 The Fire 5-May-94 Larry Charles Tom Cherones S05E20
85 5 21 The Hamptons 12-May-94 Peter Mehlman, Carol Leifer Tom Cherones S05E21
86 5 22 The Opposite 19-May-94 Andy Cowan and Larry David, Jerry Seinfeld Tom Cherones S05E22
87 6 1 The Chaperone 22-Sep-94 Larry David, Bill Masters, Bob Shaw Andy Ackerman S06E01
88 6 2 The Big Salad 29-Sep-94 Larry David Andy Ackerman S06E02
89 6 3 The Pledge Drive 6-Oct-94 Tom Gammill, Max Pross Andy Ackerman S06E03
90 6 4 The Chinese Woman 13-Oct-94 Peter Mehlman Andy Ackerman S06E04
91 6 5 The Couch 27-Oct-94 Larry David Andy Ackerman S06E05
92 6 6 The Gymnast 3-Nov-94 Alec Berg, Jeff Schaffer Andy Ackerman S06E06
93 6 7 The Soup 10-Nov-94 Fred Stoller Andy Ackerman S06E07
94 6 8 The Mom &amp; Pop Store 17-Nov-94 Tom Gammill, Max Pross Andy Ackerman S06E08
95 6 9 The Secretary 8-Dec-94 Carol Leifer, Marjorie Gross David Owen Trainor S06E09
96 6 10 The Race 15-Dec-94 Tom Gammill, Max Pross and Larry David Andy Ackerman S06E10
97 6 11 The Switch 5-Jan-95 Bruce Kirschbaum and Sam Kass Andy Ackerman S06E11
98 6 12 The Label Maker 19-Jan-95 Alec Berg, Jeff Schaffer Andy Ackerman S06E12
99 6 13 The Scofflaw 26-Jan-95 Peter Mehlman Andy Ackerman S06E13
100 6 16 The Beard 9-Feb-95 Carol Leifer Andy Ackerman S06E16
101 6 17 The Kiss Hello 16-Feb-95 Larry David, Jerry Seinfeld Andy Ackerman S06E17
102 6 18 The Doorman 23-Feb-95 Tom Gammill, Max Pross Andy Ackerman S06E18
103 6 19 The Jimmy 16-Mar-95 Gregg Kavet, Andy Robin Andy Ackerman S06E19
104 6 20 The Doodle 6-Apr-95 Alec Berg, Jeff Schaffer Andy Ackerman S06E20
105 6 21 The Fusilli Jerry 27-Apr-95 Marjorie Gross Andy Ackerman S06E21
106 6 22 The Diplomat's Club 4-May-95 Tom Gammill, Max Pross Andy Ackerman S06E22
107 6 23 The Face Painter 11-May-95 Larry David Andy Ackerman S06E23
108 6 24 The Understudy 18-May-95 Marjorie Gross, Carol Leifer Andy Ackerman S06E24
109 7 1 The Engagement 21-Sep-95 Larry David Andy Ackerman S07E01
110 7 2 The Postponement 28-Sep-95 Larry David Andy Ackerman S07E02
111 7 3 The Maestro 5-Oct-95 Larry David Andy Ackerman S07E03
112 7 4 The Wink 12-Oct-95 Tom Gammill, Max Pross Andy Ackerman S07E04
113 7 5 The Hot Tub 19-Oct-95 Gregg Kavet, Andy Robin Andy Ackerman S07E05
114 7 6 The Soup Nazi 2-Nov-95 Spike Feresten Andy Ackerman S07E06
115 7 7 The Secret Code 9-Nov-95 Alec Berg, Jeff Schaffer Andy Ackerman S07E07
116 7 8 The Pool Guy 16-Nov-95 David Mandel Andy Ackerman S07E08
117 7 9 The Sponge 7-Dec-95 Peter Mehlman Andy Ackerman S07E09
118 7 10 The Gum 14-Dec-95 Tom Gammill, Max Pross Andy Ackerman S07E10
119 7 11 The Rye 4-Jan-96 Carol Leifer Andy Ackerman S07E11
120 7 12 The Caddy 25-Jan-96 Gregg Kavet, Andy Robin Andy Ackerman S07E12
121 7 13 The Seven 1-Feb-96 Alec Berg, Jeff Schaffer Andy Ackerman S07E13
122 7 14 The Cadillac (1) 8-Feb-96 Larry David, Jerry Seinfeld Andy Ackerman S07E14
123 7 15 The Cadillac (2) 8-Feb-96 Larry David, Jerry Seinfeld Andy Ackerman S07E15
124 7 16 The Shower Head 15-Feb-96 Peter Mehlman, Marjorie Gross Andy Ackerman S07E16
125 7 17 The Doll 22-Feb-96 Tom Gammill, Max Pross Andy Ackerman S07E17
126 7 18 The Friars Club (a.k.a. The Gypsies) 7-Mar-96 David Mandel Andy Ackerman S07E18
127 7 19 The Wig Master 4-Apr-96 Spike Feresten Andy Ackerman S07E19
128 7 20 The Calzone 25-Apr-96 Alec Berg, Jeff Schaffer Andy Ackerman S07E20
129 7 21 The Bottle Deposit (1) 2-May-96 Gregg Kavet, Andy Robin Andy Ackerman S07E21
130 7 22 The Bottle Deposit (2) 2-May-96 Gregg Kavet, Andy Robin Andy Ackerman S07E22
131 7 23 The Wait Out 9-May-96 Peter Mehlman Andy Ackerman S07E23
132 7 24 The Invitations 16-May-96 Larry David Andy Ackerman S07E24
133 8 1 The Foundation 19-Sep-96 Alec Berg, Jeff Schaffer Andy Ackerman S08E01
134 8 2 The Soul Mate 26-Sep-96 Peter Mehlman Andy Ackerman S08E02
135 8 3 The Bizarro Jerry 3-Oct-96 David Mandel Andy Ackerman S08E03
136 8 4 The Little Kicks 10-Oct-96 Spike Feresten Andy Ackerman S08E04
137 8 5 The Package 17-Oct-96 Jennifer Crittenden Andy Ackerman S08E05
138 8 6 The Fatigues 31-Oct-96 Gregg Kavet, Andy Robin Andy Ackerman S08E06
139 8 7 The Checks 7-Nov-96 Steve O'Donnell and Tom Gammill, Max Pross Andy Ackerman S08E07
140 8 8 The Chicken Roaster 14-Nov-96 Alec Berg, Jeff Schaffer Andy Ackerman S08E08
141 8 9 The Abstinence 21-Nov-96 Steve Koren Andy Ackerman S08E09
142 8 10 The Andrea Doria 19-Dec-96 Spike Feresten Andy Ackerman S08E10
143 8 11 The Little Jerry 9-Jan-97 Jennifer Crittenden Andy Ackerman S08E11
144 8 12 The Money 16-Jan-97 Peter Mehlman Andy Ackerman S08E12
145 8 13 The Comeback 30-Jan-97 Gregg Kavet, Andy Robin David Owen Trainor S08E13
146 8 14 The Van Buren Boys 6-Feb-97 Darin Henry Andy Ackerman S08E14
147 8 15 The Susie 13-Feb-97 David Mandel Andy Ackerman S08E15
148 8 16 The Pothole 20-Feb-97 Steve O'Donnell and Dan O'Keefe Andy Ackerman S08E16
149 8 17 The English Patient 13-Mar-97 Steve Koren Andy Ackerman S08E17
150 8 18 The Nap 10-Apr-97 Gregg Kavet, Andy Robin Andy Ackerman S08E18
151 8 19 The Yada Yada 24-Apr-97 Peter Mehlman and Jill Franklyn Andy Ackerman S08E19
152 8 20 The Millennium 1-May-97 Jennifer Crittenden Andy Ackerman S08E20
153 8 21 The Muffin Tops 8-May-97 Spike Feresten Andy Ackerman S08E21
154 8 22 The Summer of George 15-May-97 Alec Berg, Jeff Schaffer Andy Ackerman S08E22
155 9 1 The Butter Shave 25-Sep-97 Alec Berg, Jeff Schaffer, David Mandel Andy Ackerman S09E01
156 9 2 The Voice 2-Oct-97 Alec Berg, Jeff Schaffer, David Mandel Andy Ackerman S09E02
157 9 3 The Serenity Now 9-Oct-97 Steve Koren Andy Ackerman S09E03
158 9 4 The Blood 16-Oct-97 Dan O'Keefe Andy Ackerman S09E04
159 9 5 The Junk Mail 30-Oct-97 Spike Feresten Andy Ackerman S09E05
160 9 6 The Merv Griffin Show 6-Nov-97 Bruce Eric Kaplan Andy Ackerman S09E06
161 9 7 The Slicer 13-Nov-97 Gregg Kavet, Andy Robin Andy Ackerman S09E07
162 9 8 The Betrayal 20-Nov-97 David Mandel, Peter Mehlman Andy Ackerman S09E08
163 9 9 The Apology 11-Dec-97 Jennifer Crittenden Andy Ackerman S09E09
164 9 10 The Strike 18-Dec-97 Dan O'Keefe, Alec Berg, Jeff Schaffer Andy Ackerman S09E10
165 9 11 The Dealership 8-Jan-98 Steve Koren Andy Ackerman S09E11
166 9 12 The Reverse Peephole (a.k.a. The Man Fur) 15-Jan-98 Spike Feresten Andy Ackerman S09E12
167 9 13 The Cartoon 29-Jan-98 Bruce Eric Kaplan Andy Ackerman S09E13
168 9 14 The Strongbox 5-Feb-98 Dan O'Keefe Andy Ackerman S09E14
169 9 15 The Wizard 26-Feb-98 Steve Lookner Andy Ackerman S09E15
170 9 16 The Burning 19-Mar-98 Jennifer Crittenden Andy Ackerman S09E16
171 9 17 The Bookstore 9-Apr-98 Spike Feresten Andy Ackerman S09E17
172 9 18 The Frogger 23-Apr-98 Gregg Kavet, Andy Robin Andy Ackerman S09E18
173 9 19 The Maid 30-Apr-98 Alec Berg, David Mandel, Jeff Schaffer Andy Ackerman S09E19
174 9 20 The Puerto Rican Day 7-May-98 Alec Berg, Jennifer Crittenden, Spike Feresten, Bruce Eric Kaplan, Gregg Kavet, Steve Koren, David Mandel, Dan O'Keefe, Andy Robin and Jeff Schaffer. Andy Ackerman S09E20
175 9 23 The Finale 14-May-98 Larry David Andy Ackerman S09E23

54617
实力学习PandasGUI/dataset_files/seinfeld_scripts.csv Normal file
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实力学习PandasGUI/dataset_files/stockdata.csv Normal file
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实力学习PandasGUI/dataset_files/tips.csv Normal file
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@ -0,0 +1,245 @@
total_bill,tip,sex,smoker,day,time,size
16.99,1.01,Female,No,Sun,Dinner,2
10.34,1.66,Male,No,Sun,Dinner,3
21.01,3.5,Male,No,Sun,Dinner,3
23.68,3.31,Male,No,Sun,Dinner,2
24.59,3.61,Female,No,Sun,Dinner,4
25.29,4.71,Male,No,Sun,Dinner,4
8.77,2.0,Male,No,Sun,Dinner,2
26.88,3.12,Male,No,Sun,Dinner,4
15.04,1.96,Male,No,Sun,Dinner,2
14.78,3.23,Male,No,Sun,Dinner,2
10.27,1.71,Male,No,Sun,Dinner,2
35.26,5.0,Female,No,Sun,Dinner,4
15.42,1.57,Male,No,Sun,Dinner,2
18.43,3.0,Male,No,Sun,Dinner,4
14.83,3.02,Female,No,Sun,Dinner,2
21.58,3.92,Male,No,Sun,Dinner,2
10.33,1.67,Female,No,Sun,Dinner,3
16.29,3.71,Male,No,Sun,Dinner,3
16.97,3.5,Female,No,Sun,Dinner,3
20.65,3.35,Male,No,Sat,Dinner,3
17.92,4.08,Male,No,Sat,Dinner,2
20.29,2.75,Female,No,Sat,Dinner,2
15.77,2.23,Female,No,Sat,Dinner,2
39.42,7.58,Male,No,Sat,Dinner,4
19.82,3.18,Male,No,Sat,Dinner,2
17.81,2.34,Male,No,Sat,Dinner,4
13.37,2.0,Male,No,Sat,Dinner,2
12.69,2.0,Male,No,Sat,Dinner,2
21.7,4.3,Male,No,Sat,Dinner,2
19.65,3.0,Female,No,Sat,Dinner,2
9.55,1.45,Male,No,Sat,Dinner,2
18.35,2.5,Male,No,Sat,Dinner,4
15.06,3.0,Female,No,Sat,Dinner,2
20.69,2.45,Female,No,Sat,Dinner,4
17.78,3.27,Male,No,Sat,Dinner,2
24.06,3.6,Male,No,Sat,Dinner,3
16.31,2.0,Male,No,Sat,Dinner,3
16.93,3.07,Female,No,Sat,Dinner,3
18.69,2.31,Male,No,Sat,Dinner,3
31.27,5.0,Male,No,Sat,Dinner,3
16.04,2.24,Male,No,Sat,Dinner,3
17.46,2.54,Male,No,Sun,Dinner,2
13.94,3.06,Male,No,Sun,Dinner,2
9.68,1.32,Male,No,Sun,Dinner,2
30.4,5.6,Male,No,Sun,Dinner,4
18.29,3.0,Male,No,Sun,Dinner,2
22.23,5.0,Male,No,Sun,Dinner,2
32.4,6.0,Male,No,Sun,Dinner,4
28.55,2.05,Male,No,Sun,Dinner,3
18.04,3.0,Male,No,Sun,Dinner,2
12.54,2.5,Male,No,Sun,Dinner,2
10.29,2.6,Female,No,Sun,Dinner,2
34.81,5.2,Female,No,Sun,Dinner,4
9.94,1.56,Male,No,Sun,Dinner,2
25.56,4.34,Male,No,Sun,Dinner,4
19.49,3.51,Male,No,Sun,Dinner,2
38.01,3.0,Male,Yes,Sat,Dinner,4
26.41,1.5,Female,No,Sat,Dinner,2
11.24,1.76,Male,Yes,Sat,Dinner,2
48.27,6.73,Male,No,Sat,Dinner,4
20.29,3.21,Male,Yes,Sat,Dinner,2
13.81,2.0,Male,Yes,Sat,Dinner,2
11.02,1.98,Male,Yes,Sat,Dinner,2
18.29,3.76,Male,Yes,Sat,Dinner,4
17.59,2.64,Male,No,Sat,Dinner,3
20.08,3.15,Male,No,Sat,Dinner,3
16.45,2.47,Female,No,Sat,Dinner,2
3.07,1.0,Female,Yes,Sat,Dinner,1
20.23,2.01,Male,No,Sat,Dinner,2
15.01,2.09,Male,Yes,Sat,Dinner,2
12.02,1.97,Male,No,Sat,Dinner,2
17.07,3.0,Female,No,Sat,Dinner,3
26.86,3.14,Female,Yes,Sat,Dinner,2
25.28,5.0,Female,Yes,Sat,Dinner,2
14.73,2.2,Female,No,Sat,Dinner,2
10.51,1.25,Male,No,Sat,Dinner,2
17.92,3.08,Male,Yes,Sat,Dinner,2
27.2,4.0,Male,No,Thur,Lunch,4
22.76,3.0,Male,No,Thur,Lunch,2
17.29,2.71,Male,No,Thur,Lunch,2
19.44,3.0,Male,Yes,Thur,Lunch,2
16.66,3.4,Male,No,Thur,Lunch,2
10.07,1.83,Female,No,Thur,Lunch,1
32.68,5.0,Male,Yes,Thur,Lunch,2
15.98,2.03,Male,No,Thur,Lunch,2
34.83,5.17,Female,No,Thur,Lunch,4
13.03,2.0,Male,No,Thur,Lunch,2
18.28,4.0,Male,No,Thur,Lunch,2
24.71,5.85,Male,No,Thur,Lunch,2
21.16,3.0,Male,No,Thur,Lunch,2
28.97,3.0,Male,Yes,Fri,Dinner,2
22.49,3.5,Male,No,Fri,Dinner,2
5.75,1.0,Female,Yes,Fri,Dinner,2
16.32,4.3,Female,Yes,Fri,Dinner,2
22.75,3.25,Female,No,Fri,Dinner,2
40.17,4.73,Male,Yes,Fri,Dinner,4
27.28,4.0,Male,Yes,Fri,Dinner,2
12.03,1.5,Male,Yes,Fri,Dinner,2
21.01,3.0,Male,Yes,Fri,Dinner,2
12.46,1.5,Male,No,Fri,Dinner,2
11.35,2.5,Female,Yes,Fri,Dinner,2
15.38,3.0,Female,Yes,Fri,Dinner,2
44.3,2.5,Female,Yes,Sat,Dinner,3
22.42,3.48,Female,Yes,Sat,Dinner,2
20.92,4.08,Female,No,Sat,Dinner,2
15.36,1.64,Male,Yes,Sat,Dinner,2
20.49,4.06,Male,Yes,Sat,Dinner,2
25.21,4.29,Male,Yes,Sat,Dinner,2
18.24,3.76,Male,No,Sat,Dinner,2
14.31,4.0,Female,Yes,Sat,Dinner,2
14.0,3.0,Male,No,Sat,Dinner,2
7.25,1.0,Female,No,Sat,Dinner,1
38.07,4.0,Male,No,Sun,Dinner,3
23.95,2.55,Male,No,Sun,Dinner,2
25.71,4.0,Female,No,Sun,Dinner,3
17.31,3.5,Female,No,Sun,Dinner,2
29.93,5.07,Male,No,Sun,Dinner,4
10.65,1.5,Female,No,Thur,Lunch,2
12.43,1.8,Female,No,Thur,Lunch,2
24.08,2.92,Female,No,Thur,Lunch,4
11.69,2.31,Male,No,Thur,Lunch,2
13.42,1.68,Female,No,Thur,Lunch,2
14.26,2.5,Male,No,Thur,Lunch,2
15.95,2.0,Male,No,Thur,Lunch,2
12.48,2.52,Female,No,Thur,Lunch,2
29.8,4.2,Female,No,Thur,Lunch,6
8.52,1.48,Male,No,Thur,Lunch,2
14.52,2.0,Female,No,Thur,Lunch,2
11.38,2.0,Female,No,Thur,Lunch,2
22.82,2.18,Male,No,Thur,Lunch,3
19.08,1.5,Male,No,Thur,Lunch,2
20.27,2.83,Female,No,Thur,Lunch,2
11.17,1.5,Female,No,Thur,Lunch,2
12.26,2.0,Female,No,Thur,Lunch,2
18.26,3.25,Female,No,Thur,Lunch,2
8.51,1.25,Female,No,Thur,Lunch,2
10.33,2.0,Female,No,Thur,Lunch,2
14.15,2.0,Female,No,Thur,Lunch,2
16.0,2.0,Male,Yes,Thur,Lunch,2
13.16,2.75,Female,No,Thur,Lunch,2
17.47,3.5,Female,No,Thur,Lunch,2
34.3,6.7,Male,No,Thur,Lunch,6
41.19,5.0,Male,No,Thur,Lunch,5
27.05,5.0,Female,No,Thur,Lunch,6
16.43,2.3,Female,No,Thur,Lunch,2
8.35,1.5,Female,No,Thur,Lunch,2
18.64,1.36,Female,No,Thur,Lunch,3
11.87,1.63,Female,No,Thur,Lunch,2
9.78,1.73,Male,No,Thur,Lunch,2
7.51,2.0,Male,No,Thur,Lunch,2
14.07,2.5,Male,No,Sun,Dinner,2
13.13,2.0,Male,No,Sun,Dinner,2
17.26,2.74,Male,No,Sun,Dinner,3
24.55,2.0,Male,No,Sun,Dinner,4
19.77,2.0,Male,No,Sun,Dinner,4
29.85,5.14,Female,No,Sun,Dinner,5
48.17,5.0,Male,No,Sun,Dinner,6
25.0,3.75,Female,No,Sun,Dinner,4
13.39,2.61,Female,No,Sun,Dinner,2
16.49,2.0,Male,No,Sun,Dinner,4
21.5,3.5,Male,No,Sun,Dinner,4
12.66,2.5,Male,No,Sun,Dinner,2
16.21,2.0,Female,No,Sun,Dinner,3
13.81,2.0,Male,No,Sun,Dinner,2
17.51,3.0,Female,Yes,Sun,Dinner,2
24.52,3.48,Male,No,Sun,Dinner,3
20.76,2.24,Male,No,Sun,Dinner,2
31.71,4.5,Male,No,Sun,Dinner,4
10.59,1.61,Female,Yes,Sat,Dinner,2
10.63,2.0,Female,Yes,Sat,Dinner,2
50.81,10.0,Male,Yes,Sat,Dinner,3
15.81,3.16,Male,Yes,Sat,Dinner,2
7.25,5.15,Male,Yes,Sun,Dinner,2
31.85,3.18,Male,Yes,Sun,Dinner,2
16.82,4.0,Male,Yes,Sun,Dinner,2
32.9,3.11,Male,Yes,Sun,Dinner,2
17.89,2.0,Male,Yes,Sun,Dinner,2
14.48,2.0,Male,Yes,Sun,Dinner,2
9.6,4.0,Female,Yes,Sun,Dinner,2
34.63,3.55,Male,Yes,Sun,Dinner,2
34.65,3.68,Male,Yes,Sun,Dinner,4
23.33,5.65,Male,Yes,Sun,Dinner,2
45.35,3.5,Male,Yes,Sun,Dinner,3
23.17,6.5,Male,Yes,Sun,Dinner,4
40.55,3.0,Male,Yes,Sun,Dinner,2
20.69,5.0,Male,No,Sun,Dinner,5
20.9,3.5,Female,Yes,Sun,Dinner,3
30.46,2.0,Male,Yes,Sun,Dinner,5
18.15,3.5,Female,Yes,Sun,Dinner,3
23.1,4.0,Male,Yes,Sun,Dinner,3
15.69,1.5,Male,Yes,Sun,Dinner,2
19.81,4.19,Female,Yes,Thur,Lunch,2
28.44,2.56,Male,Yes,Thur,Lunch,2
15.48,2.02,Male,Yes,Thur,Lunch,2
16.58,4.0,Male,Yes,Thur,Lunch,2
7.56,1.44,Male,No,Thur,Lunch,2
10.34,2.0,Male,Yes,Thur,Lunch,2
43.11,5.0,Female,Yes,Thur,Lunch,4
13.0,2.0,Female,Yes,Thur,Lunch,2
13.51,2.0,Male,Yes,Thur,Lunch,2
18.71,4.0,Male,Yes,Thur,Lunch,3
12.74,2.01,Female,Yes,Thur,Lunch,2
13.0,2.0,Female,Yes,Thur,Lunch,2
16.4,2.5,Female,Yes,Thur,Lunch,2
20.53,4.0,Male,Yes,Thur,Lunch,4
16.47,3.23,Female,Yes,Thur,Lunch,3
26.59,3.41,Male,Yes,Sat,Dinner,3
38.73,3.0,Male,Yes,Sat,Dinner,4
24.27,2.03,Male,Yes,Sat,Dinner,2
12.76,2.23,Female,Yes,Sat,Dinner,2
30.06,2.0,Male,Yes,Sat,Dinner,3
25.89,5.16,Male,Yes,Sat,Dinner,4
48.33,9.0,Male,No,Sat,Dinner,4
13.27,2.5,Female,Yes,Sat,Dinner,2
28.17,6.5,Female,Yes,Sat,Dinner,3
12.9,1.1,Female,Yes,Sat,Dinner,2
28.15,3.0,Male,Yes,Sat,Dinner,5
11.59,1.5,Male,Yes,Sat,Dinner,2
7.74,1.44,Male,Yes,Sat,Dinner,2
30.14,3.09,Female,Yes,Sat,Dinner,4
12.16,2.2,Male,Yes,Fri,Lunch,2
13.42,3.48,Female,Yes,Fri,Lunch,2
8.58,1.92,Male,Yes,Fri,Lunch,1
15.98,3.0,Female,No,Fri,Lunch,3
13.42,1.58,Male,Yes,Fri,Lunch,2
16.27,2.5,Female,Yes,Fri,Lunch,2
10.09,2.0,Female,Yes,Fri,Lunch,2
20.45,3.0,Male,No,Sat,Dinner,4
13.28,2.72,Male,No,Sat,Dinner,2
22.12,2.88,Female,Yes,Sat,Dinner,2
24.01,2.0,Male,Yes,Sat,Dinner,4
15.69,3.0,Male,Yes,Sat,Dinner,3
11.61,3.39,Male,No,Sat,Dinner,2
10.77,1.47,Male,No,Sat,Dinner,2
15.53,3.0,Male,Yes,Sat,Dinner,2
10.07,1.25,Male,No,Sat,Dinner,2
12.6,1.0,Male,Yes,Sat,Dinner,2
32.83,1.17,Male,Yes,Sat,Dinner,2
35.83,4.67,Female,No,Sat,Dinner,3
29.03,5.92,Male,No,Sat,Dinner,3
27.18,2.0,Female,Yes,Sat,Dinner,2
22.67,2.0,Male,Yes,Sat,Dinner,2
17.82,1.75,Male,No,Sat,Dinner,2
18.78,3.0,Female,No,Thur,Dinner,2
1 total_bill tip sex smoker day time size
2 16.99 1.01 Female No Sun Dinner 2
3 10.34 1.66 Male No Sun Dinner 3
4 21.01 3.5 Male No Sun Dinner 3
5 23.68 3.31 Male No Sun Dinner 2
6 24.59 3.61 Female No Sun Dinner 4
7 25.29 4.71 Male No Sun Dinner 4
8 8.77 2.0 Male No Sun Dinner 2
9 26.88 3.12 Male No Sun Dinner 4
10 15.04 1.96 Male No Sun Dinner 2
11 14.78 3.23 Male No Sun Dinner 2
12 10.27 1.71 Male No Sun Dinner 2
13 35.26 5.0 Female No Sun Dinner 4
14 15.42 1.57 Male No Sun Dinner 2
15 18.43 3.0 Male No Sun Dinner 4
16 14.83 3.02 Female No Sun Dinner 2
17 21.58 3.92 Male No Sun Dinner 2
18 10.33 1.67 Female No Sun Dinner 3
19 16.29 3.71 Male No Sun Dinner 3
20 16.97 3.5 Female No Sun Dinner 3
21 20.65 3.35 Male No Sat Dinner 3
22 17.92 4.08 Male No Sat Dinner 2
23 20.29 2.75 Female No Sat Dinner 2
24 15.77 2.23 Female No Sat Dinner 2
25 39.42 7.58 Male No Sat Dinner 4
26 19.82 3.18 Male No Sat Dinner 2
27 17.81 2.34 Male No Sat Dinner 4
28 13.37 2.0 Male No Sat Dinner 2
29 12.69 2.0 Male No Sat Dinner 2
30 21.7 4.3 Male No Sat Dinner 2
31 19.65 3.0 Female No Sat Dinner 2
32 9.55 1.45 Male No Sat Dinner 2
33 18.35 2.5 Male No Sat Dinner 4
34 15.06 3.0 Female No Sat Dinner 2
35 20.69 2.45 Female No Sat Dinner 4
36 17.78 3.27 Male No Sat Dinner 2
37 24.06 3.6 Male No Sat Dinner 3
38 16.31 2.0 Male No Sat Dinner 3
39 16.93 3.07 Female No Sat Dinner 3
40 18.69 2.31 Male No Sat Dinner 3
41 31.27 5.0 Male No Sat Dinner 3
42 16.04 2.24 Male No Sat Dinner 3
43 17.46 2.54 Male No Sun Dinner 2
44 13.94 3.06 Male No Sun Dinner 2
45 9.68 1.32 Male No Sun Dinner 2
46 30.4 5.6 Male No Sun Dinner 4
47 18.29 3.0 Male No Sun Dinner 2
48 22.23 5.0 Male No Sun Dinner 2
49 32.4 6.0 Male No Sun Dinner 4
50 28.55 2.05 Male No Sun Dinner 3
51 18.04 3.0 Male No Sun Dinner 2
52 12.54 2.5 Male No Sun Dinner 2
53 10.29 2.6 Female No Sun Dinner 2
54 34.81 5.2 Female No Sun Dinner 4
55 9.94 1.56 Male No Sun Dinner 2
56 25.56 4.34 Male No Sun Dinner 4
57 19.49 3.51 Male No Sun Dinner 2
58 38.01 3.0 Male Yes Sat Dinner 4
59 26.41 1.5 Female No Sat Dinner 2
60 11.24 1.76 Male Yes Sat Dinner 2
61 48.27 6.73 Male No Sat Dinner 4
62 20.29 3.21 Male Yes Sat Dinner 2
63 13.81 2.0 Male Yes Sat Dinner 2
64 11.02 1.98 Male Yes Sat Dinner 2
65 18.29 3.76 Male Yes Sat Dinner 4
66 17.59 2.64 Male No Sat Dinner 3
67 20.08 3.15 Male No Sat Dinner 3
68 16.45 2.47 Female No Sat Dinner 2
69 3.07 1.0 Female Yes Sat Dinner 1
70 20.23 2.01 Male No Sat Dinner 2
71 15.01 2.09 Male Yes Sat Dinner 2
72 12.02 1.97 Male No Sat Dinner 2
73 17.07 3.0 Female No Sat Dinner 3
74 26.86 3.14 Female Yes Sat Dinner 2
75 25.28 5.0 Female Yes Sat Dinner 2
76 14.73 2.2 Female No Sat Dinner 2
77 10.51 1.25 Male No Sat Dinner 2
78 17.92 3.08 Male Yes Sat Dinner 2
79 27.2 4.0 Male No Thur Lunch 4
80 22.76 3.0 Male No Thur Lunch 2
81 17.29 2.71 Male No Thur Lunch 2
82 19.44 3.0 Male Yes Thur Lunch 2
83 16.66 3.4 Male No Thur Lunch 2
84 10.07 1.83 Female No Thur Lunch 1
85 32.68 5.0 Male Yes Thur Lunch 2
86 15.98 2.03 Male No Thur Lunch 2
87 34.83 5.17 Female No Thur Lunch 4
88 13.03 2.0 Male No Thur Lunch 2
89 18.28 4.0 Male No Thur Lunch 2
90 24.71 5.85 Male No Thur Lunch 2
91 21.16 3.0 Male No Thur Lunch 2
92 28.97 3.0 Male Yes Fri Dinner 2
93 22.49 3.5 Male No Fri Dinner 2
94 5.75 1.0 Female Yes Fri Dinner 2
95 16.32 4.3 Female Yes Fri Dinner 2
96 22.75 3.25 Female No Fri Dinner 2
97 40.17 4.73 Male Yes Fri Dinner 4
98 27.28 4.0 Male Yes Fri Dinner 2
99 12.03 1.5 Male Yes Fri Dinner 2
100 21.01 3.0 Male Yes Fri Dinner 2
101 12.46 1.5 Male No Fri Dinner 2
102 11.35 2.5 Female Yes Fri Dinner 2
103 15.38 3.0 Female Yes Fri Dinner 2
104 44.3 2.5 Female Yes Sat Dinner 3
105 22.42 3.48 Female Yes Sat Dinner 2
106 20.92 4.08 Female No Sat Dinner 2
107 15.36 1.64 Male Yes Sat Dinner 2
108 20.49 4.06 Male Yes Sat Dinner 2
109 25.21 4.29 Male Yes Sat Dinner 2
110 18.24 3.76 Male No Sat Dinner 2
111 14.31 4.0 Female Yes Sat Dinner 2
112 14.0 3.0 Male No Sat Dinner 2
113 7.25 1.0 Female No Sat Dinner 1
114 38.07 4.0 Male No Sun Dinner 3
115 23.95 2.55 Male No Sun Dinner 2
116 25.71 4.0 Female No Sun Dinner 3
117 17.31 3.5 Female No Sun Dinner 2
118 29.93 5.07 Male No Sun Dinner 4
119 10.65 1.5 Female No Thur Lunch 2
120 12.43 1.8 Female No Thur Lunch 2
121 24.08 2.92 Female No Thur Lunch 4
122 11.69 2.31 Male No Thur Lunch 2
123 13.42 1.68 Female No Thur Lunch 2
124 14.26 2.5 Male No Thur Lunch 2
125 15.95 2.0 Male No Thur Lunch 2
126 12.48 2.52 Female No Thur Lunch 2
127 29.8 4.2 Female No Thur Lunch 6
128 8.52 1.48 Male No Thur Lunch 2
129 14.52 2.0 Female No Thur Lunch 2
130 11.38 2.0 Female No Thur Lunch 2
131 22.82 2.18 Male No Thur Lunch 3
132 19.08 1.5 Male No Thur Lunch 2
133 20.27 2.83 Female No Thur Lunch 2
134 11.17 1.5 Female No Thur Lunch 2
135 12.26 2.0 Female No Thur Lunch 2
136 18.26 3.25 Female No Thur Lunch 2
137 8.51 1.25 Female No Thur Lunch 2
138 10.33 2.0 Female No Thur Lunch 2
139 14.15 2.0 Female No Thur Lunch 2
140 16.0 2.0 Male Yes Thur Lunch 2
141 13.16 2.75 Female No Thur Lunch 2
142 17.47 3.5 Female No Thur Lunch 2
143 34.3 6.7 Male No Thur Lunch 6
144 41.19 5.0 Male No Thur Lunch 5
145 27.05 5.0 Female No Thur Lunch 6
146 16.43 2.3 Female No Thur Lunch 2
147 8.35 1.5 Female No Thur Lunch 2
148 18.64 1.36 Female No Thur Lunch 3
149 11.87 1.63 Female No Thur Lunch 2
150 9.78 1.73 Male No Thur Lunch 2
151 7.51 2.0 Male No Thur Lunch 2
152 14.07 2.5 Male No Sun Dinner 2
153 13.13 2.0 Male No Sun Dinner 2
154 17.26 2.74 Male No Sun Dinner 3
155 24.55 2.0 Male No Sun Dinner 4
156 19.77 2.0 Male No Sun Dinner 4
157 29.85 5.14 Female No Sun Dinner 5
158 48.17 5.0 Male No Sun Dinner 6
159 25.0 3.75 Female No Sun Dinner 4
160 13.39 2.61 Female No Sun Dinner 2
161 16.49 2.0 Male No Sun Dinner 4
162 21.5 3.5 Male No Sun Dinner 4
163 12.66 2.5 Male No Sun Dinner 2
164 16.21 2.0 Female No Sun Dinner 3
165 13.81 2.0 Male No Sun Dinner 2
166 17.51 3.0 Female Yes Sun Dinner 2
167 24.52 3.48 Male No Sun Dinner 3
168 20.76 2.24 Male No Sun Dinner 2
169 31.71 4.5 Male No Sun Dinner 4
170 10.59 1.61 Female Yes Sat Dinner 2
171 10.63 2.0 Female Yes Sat Dinner 2
172 50.81 10.0 Male Yes Sat Dinner 3
173 15.81 3.16 Male Yes Sat Dinner 2
174 7.25 5.15 Male Yes Sun Dinner 2
175 31.85 3.18 Male Yes Sun Dinner 2
176 16.82 4.0 Male Yes Sun Dinner 2
177 32.9 3.11 Male Yes Sun Dinner 2
178 17.89 2.0 Male Yes Sun Dinner 2
179 14.48 2.0 Male Yes Sun Dinner 2
180 9.6 4.0 Female Yes Sun Dinner 2
181 34.63 3.55 Male Yes Sun Dinner 2
182 34.65 3.68 Male Yes Sun Dinner 4
183 23.33 5.65 Male Yes Sun Dinner 2
184 45.35 3.5 Male Yes Sun Dinner 3
185 23.17 6.5 Male Yes Sun Dinner 4
186 40.55 3.0 Male Yes Sun Dinner 2
187 20.69 5.0 Male No Sun Dinner 5
188 20.9 3.5 Female Yes Sun Dinner 3
189 30.46 2.0 Male Yes Sun Dinner 5
190 18.15 3.5 Female Yes Sun Dinner 3
191 23.1 4.0 Male Yes Sun Dinner 3
192 15.69 1.5 Male Yes Sun Dinner 2
193 19.81 4.19 Female Yes Thur Lunch 2
194 28.44 2.56 Male Yes Thur Lunch 2
195 15.48 2.02 Male Yes Thur Lunch 2
196 16.58 4.0 Male Yes Thur Lunch 2
197 7.56 1.44 Male No Thur Lunch 2
198 10.34 2.0 Male Yes Thur Lunch 2
199 43.11 5.0 Female Yes Thur Lunch 4
200 13.0 2.0 Female Yes Thur Lunch 2
201 13.51 2.0 Male Yes Thur Lunch 2
202 18.71 4.0 Male Yes Thur Lunch 3
203 12.74 2.01 Female Yes Thur Lunch 2
204 13.0 2.0 Female Yes Thur Lunch 2
205 16.4 2.5 Female Yes Thur Lunch 2
206 20.53 4.0 Male Yes Thur Lunch 4
207 16.47 3.23 Female Yes Thur Lunch 3
208 26.59 3.41 Male Yes Sat Dinner 3
209 38.73 3.0 Male Yes Sat Dinner 4
210 24.27 2.03 Male Yes Sat Dinner 2
211 12.76 2.23 Female Yes Sat Dinner 2
212 30.06 2.0 Male Yes Sat Dinner 3
213 25.89 5.16 Male Yes Sat Dinner 4
214 48.33 9.0 Male No Sat Dinner 4
215 13.27 2.5 Female Yes Sat Dinner 2
216 28.17 6.5 Female Yes Sat Dinner 3
217 12.9 1.1 Female Yes Sat Dinner 2
218 28.15 3.0 Male Yes Sat Dinner 5
219 11.59 1.5 Male Yes Sat Dinner 2
220 7.74 1.44 Male Yes Sat Dinner 2
221 30.14 3.09 Female Yes Sat Dinner 4
222 12.16 2.2 Male Yes Fri Lunch 2
223 13.42 3.48 Female Yes Fri Lunch 2
224 8.58 1.92 Male Yes Fri Lunch 1
225 15.98 3.0 Female No Fri Lunch 3
226 13.42 1.58 Male Yes Fri Lunch 2
227 16.27 2.5 Female Yes Fri Lunch 2
228 10.09 2.0 Female Yes Fri Lunch 2
229 20.45 3.0 Male No Sat Dinner 4
230 13.28 2.72 Male No Sat Dinner 2
231 22.12 2.88 Female Yes Sat Dinner 2
232 24.01 2.0 Male Yes Sat Dinner 4
233 15.69 3.0 Male Yes Sat Dinner 3
234 11.61 3.39 Male No Sat Dinner 2
235 10.77 1.47 Male No Sat Dinner 2
236 15.53 3.0 Male Yes Sat Dinner 2
237 10.07 1.25 Male No Sat Dinner 2
238 12.6 1.0 Male Yes Sat Dinner 2
239 32.83 1.17 Male Yes Sat Dinner 2
240 35.83 4.67 Female No Sat Dinner 3
241 29.03 5.92 Male No Sat Dinner 3
242 27.18 2.0 Female Yes Sat Dinner 2
243 22.67 2.0 Male Yes Sat Dinner 2
244 17.82 1.75 Male No Sat Dinner 2
245 18.78 3.0 Female No Thur Dinner 2

892
实力学习PandasGUI/dataset_files/titanic.csv Normal file
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@ -0,0 +1,892 @@
survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,1,0,7.25,S,Third,man,True,,Southampton,no,False
1,1,female,38.0,1,0,71.2833,C,First,woman,False,C,Cherbourg,yes,False
1,3,female,26.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
1,1,female,35.0,1,0,53.1,S,First,woman,False,C,Southampton,yes,False
0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.4583,Q,Third,man,True,,Queenstown,no,True
0,1,male,54.0,0,0,51.8625,S,First,man,True,E,Southampton,no,True
0,3,male,2.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,3,female,27.0,0,2,11.1333,S,Third,woman,False,,Southampton,yes,False
1,2,female,14.0,1,0,30.0708,C,Second,child,False,,Cherbourg,yes,False
1,3,female,4.0,1,1,16.7,S,Third,child,False,G,Southampton,yes,False
1,1,female,58.0,0,0,26.55,S,First,woman,False,C,Southampton,yes,True
0,3,male,20.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,39.0,1,5,31.275,S,Third,man,True,,Southampton,no,False
0,3,female,14.0,0,0,7.8542,S,Third,child,False,,Southampton,no,True
1,2,female,55.0,0,0,16.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,2.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,2,male,,0,0,13.0,S,Second,man,True,,Southampton,yes,True
0,3,female,31.0,1,0,18.0,S,Third,woman,False,,Southampton,no,False
1,3,female,,0,0,7.225,C,Third,woman,False,,Cherbourg,yes,True
0,2,male,35.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
1,2,male,34.0,0,0,13.0,S,Second,man,True,D,Southampton,yes,True
1,3,female,15.0,0,0,8.0292,Q,Third,child,False,,Queenstown,yes,True
1,1,male,28.0,0,0,35.5,S,First,man,True,A,Southampton,yes,True
0,3,female,8.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,3,female,38.0,1,5,31.3875,S,Third,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,19.0,3,2,263.0,S,First,man,True,C,Southampton,no,False
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,40.0,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
1,1,female,,1,0,146.5208,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,2,male,66.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,1,male,28.0,1,0,82.1708,C,First,man,True,,Cherbourg,no,False
0,1,male,42.0,1,0,52.0,S,First,man,True,,Southampton,no,False
1,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,18.0,2,0,18.0,S,Third,woman,False,,Southampton,no,False
1,3,female,14.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
0,3,female,40.0,1,0,9.475,S,Third,woman,False,,Southampton,no,False
0,2,female,27.0,1,0,21.0,S,Second,woman,False,,Southampton,no,False
0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
1,2,female,3.0,1,2,41.5792,C,Second,child,False,,Cherbourg,yes,False
1,3,female,19.0,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,2,0,21.6792,C,Third,man,True,,Cherbourg,no,False
0,3,female,18.0,1,0,17.8,S,Third,woman,False,,Southampton,no,False
0,3,male,7.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,21.0,0,0,7.8,S,Third,man,True,,Southampton,no,True
1,1,female,49.0,1,0,76.7292,C,First,woman,False,D,Cherbourg,yes,False
1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,1,male,65.0,0,1,61.9792,C,First,man,True,B,Cherbourg,no,False
1,1,male,,0,0,35.5,S,First,man,True,C,Southampton,yes,True
1,2,female,21.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,3,male,28.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,2,female,5.0,1,2,27.75,S,Second,child,False,,Southampton,yes,False
0,3,male,11.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,3,male,22.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,1,female,38.0,0,0,80.0,,First,woman,False,B,,yes,True
0,1,male,45.0,1,0,83.475,S,First,man,True,C,Southampton,no,False
0,3,male,4.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
1,2,female,29.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
0,3,male,19.0,0,0,8.1583,S,Third,man,True,,Southampton,no,True
1,3,female,17.0,4,2,7.925,S,Third,woman,False,,Southampton,yes,False
0,3,male,26.0,2,0,8.6625,S,Third,man,True,,Southampton,no,False
0,2,male,32.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,16.0,5,2,46.9,S,Third,woman,False,,Southampton,no,False
0,2,male,21.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
0,3,male,26.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
0,3,male,25.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,2,male,0.83,0,2,29.0,S,Second,child,False,,Southampton,yes,False
1,3,female,30.0,0,0,12.475,S,Third,woman,False,,Southampton,yes,True
0,3,male,22.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
1,3,male,29.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
1,3,female,,0,0,7.7875,Q,Third,woman,False,,Queenstown,yes,True
0,1,male,28.0,0,0,47.1,S,First,man,True,,Southampton,no,True
1,2,female,17.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
1,3,female,33.0,3,0,15.85,S,Third,woman,False,,Southampton,yes,False
0,3,male,16.0,1,3,34.375,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,23.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
0,3,male,24.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,29.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,1,male,46.0,1,0,61.175,S,First,man,True,E,Southampton,no,False
0,3,male,26.0,1,2,20.575,S,Third,man,True,,Southampton,no,False
0,3,male,59.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,71.0,0,0,34.6542,C,First,man,True,A,Cherbourg,no,True
1,1,male,23.0,0,1,63.3583,C,First,man,True,D,Cherbourg,yes,False
1,2,female,34.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,34.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,female,28.0,0,0,7.8958,S,Third,woman,False,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,21.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
0,3,male,33.0,0,0,8.6542,S,Third,man,True,,Southampton,no,True
0,3,male,37.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,3,female,21.0,0,0,7.65,S,Third,woman,False,,Southampton,yes,True
1,3,male,,0,0,7.775,S,Third,man,True,,Southampton,yes,True
0,3,male,38.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,3,female,,1,0,24.15,Q,Third,woman,False,,Queenstown,yes,False
0,1,male,47.0,0,0,52.0,S,First,man,True,C,Southampton,no,True
0,3,female,14.5,1,0,14.4542,C,Third,child,False,,Cherbourg,no,False
0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,20.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
0,3,female,17.0,0,0,14.4583,C,Third,woman,False,,Cherbourg,no,True
0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,3,male,70.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,29.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,1,male,24.0,0,1,247.5208,C,First,man,True,B,Cherbourg,no,False
0,3,female,2.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,2,male,21.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,2,male,32.5,1,0,30.0708,C,Second,man,True,,Cherbourg,no,False
1,2,female,32.5,0,0,13.0,S,Second,woman,False,E,Southampton,yes,True
0,1,male,54.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
1,3,male,12.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,24.0,0,0,7.1417,S,Third,man,True,,Southampton,yes,True
1,3,female,,1,1,22.3583,C,Third,woman,False,F,Cherbourg,yes,False
0,3,male,45.0,0,0,6.975,S,Third,man,True,,Southampton,no,True
0,3,male,33.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,3,male,20.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,female,47.0,1,0,14.5,S,Third,woman,False,,Southampton,no,False
1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,15.0458,C,Second,man,True,,Cherbourg,no,True
1,1,female,19.0,0,2,26.2833,S,First,woman,False,D,Southampton,yes,False
0,1,male,37.0,1,0,53.1,S,First,man,True,C,Southampton,no,False
0,3,male,16.0,0,0,9.2167,S,Third,man,True,,Southampton,no,True
0,1,male,24.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
0,3,female,,0,2,15.2458,C,Third,woman,False,,Cherbourg,no,False
1,3,female,22.0,0,0,7.75,S,Third,woman,False,,Southampton,yes,True
1,3,female,24.0,1,0,15.85,S,Third,woman,False,,Southampton,yes,False
0,3,male,19.0,0,0,6.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
0,2,male,19.0,1,1,36.75,S,Second,man,True,,Southampton,no,False
1,3,male,27.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
0,3,female,9.0,2,2,34.375,S,Third,child,False,,Southampton,no,False
0,2,male,36.5,0,2,26.0,S,Second,man,True,F,Southampton,no,False
0,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,51.0,0,0,12.525,S,Second,man,True,,Southampton,no,True
1,1,female,22.0,1,0,66.6,S,First,woman,False,C,Southampton,yes,False
0,3,male,55.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,40.5,0,2,14.5,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.3125,S,Third,man,True,,Southampton,no,True
0,1,male,51.0,0,1,61.3792,C,First,man,True,,Cherbourg,no,False
1,3,female,16.0,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,44.0,0,1,16.1,S,Third,man,True,,Southampton,no,False
1,2,female,40.0,0,0,15.75,S,Second,woman,False,,Southampton,yes,True
0,3,male,26.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,1.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
1,3,male,9.0,0,2,20.525,S,Third,child,False,,Southampton,yes,False
1,1,female,,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
0,3,female,45.0,1,4,27.9,S,Third,woman,False,,Southampton,no,False
0,1,male,,0,0,25.925,S,First,man,True,,Southampton,no,True
0,3,male,28.0,0,0,56.4958,S,Third,man,True,,Southampton,no,True
0,1,male,61.0,0,0,33.5,S,First,man,True,B,Southampton,no,True
0,3,male,4.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,female,1.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,1,male,56.0,0,0,30.6958,C,First,man,True,A,Cherbourg,no,True
0,3,male,18.0,1,1,7.8542,S,Third,man,True,,Southampton,no,False
0,3,male,,3,1,25.4667,S,Third,man,True,,Southampton,no,False
0,1,female,50.0,0,0,28.7125,C,First,woman,False,C,Cherbourg,no,True
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,36.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,2,male,,0,0,15.05,C,Second,man,True,,Cherbourg,no,True
0,3,male,9.0,4,2,31.3875,S,Third,child,False,,Southampton,no,False
1,2,male,1.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
1,3,female,4.0,0,2,22.025,S,Third,child,False,,Southampton,yes,False
0,1,male,,0,0,50.0,S,First,man,True,A,Southampton,no,True
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
1,1,male,45.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
0,3,male,40.0,1,1,15.5,Q,Third,man,True,,Queenstown,no,False
0,3,male,36.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,32.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,2,male,19.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,3,female,19.0,1,0,7.8542,S,Third,woman,False,,Southampton,yes,False
1,2,male,3.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
1,1,female,44.0,0,0,27.7208,C,First,woman,False,B,Cherbourg,yes,True
1,1,female,58.0,0,0,146.5208,C,First,woman,False,B,Cherbourg,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,42.0,0,1,8.4042,S,Third,man,True,,Southampton,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,2,female,24.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,34.0,0,0,6.4958,S,Third,man,True,,Southampton,no,True
0,3,male,45.5,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,3,male,18.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,3,female,2.0,0,1,10.4625,S,Third,child,False,G,Southampton,no,False
0,3,male,32.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
1,3,male,26.0,0,0,18.7875,C,Third,man,True,,Cherbourg,yes,True
1,3,female,16.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,male,40.0,0,0,31.0,C,First,man,True,A,Cherbourg,yes,True
0,3,male,24.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
1,2,female,35.0,0,0,21.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,1,0,7.75,Q,Third,man,True,,Queenstown,no,False
1,1,female,31.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,27.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
0,2,male,42.0,1,0,27.0,S,Second,man,True,,Southampton,no,False
1,1,female,32.0,0,0,76.2917,C,First,woman,False,D,Cherbourg,yes,True
0,2,male,30.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,51.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,38.0,1,0,90.0,S,First,man,True,C,Southampton,yes,False
0,3,male,22.0,0,0,9.35,S,Third,man,True,,Southampton,no,True
1,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
0,3,male,20.5,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
1,1,female,35.0,1,0,83.475,S,First,woman,False,C,Southampton,yes,False
0,3,male,29.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,2,male,59.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
1,3,female,5.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
0,2,male,24.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,,0,0,7.55,S,Third,woman,False,,Southampton,no,True
0,2,male,44.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
1,2,female,8.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
0,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,2,male,33.0,0,0,12.275,S,Second,man,True,,Southampton,no,True
0,3,female,,1,0,14.4542,C,Third,woman,False,,Cherbourg,no,False
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
0,2,male,29.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,22.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
0,3,male,30.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,44.0,2,0,90.0,Q,First,man,True,C,Queenstown,no,False
0,3,female,25.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
1,2,female,24.0,0,2,14.5,S,Second,woman,False,,Southampton,yes,False
1,1,male,37.0,1,1,52.5542,S,First,man,True,D,Southampton,yes,False
0,2,male,54.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,female,29.0,1,1,10.4625,S,Third,woman,False,G,Southampton,no,False
0,1,male,62.0,0,0,26.55,S,First,man,True,C,Southampton,no,True
0,3,male,30.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
0,3,female,41.0,0,2,20.2125,S,Third,woman,False,,Southampton,no,False
1,3,female,29.0,0,2,15.2458,C,Third,woman,False,,Cherbourg,yes,False
1,1,female,,0,0,79.2,C,First,woman,False,,Cherbourg,yes,True
1,1,female,30.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
1,1,female,35.0,0,0,512.3292,C,First,woman,False,,Cherbourg,yes,True
1,2,female,50.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,3.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
0,1,male,52.0,1,1,79.65,S,First,man,True,E,Southampton,no,False
0,1,male,40.0,0,0,0.0,S,First,man,True,B,Southampton,no,True
0,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,2,male,36.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,16.0,4,1,39.6875,S,Third,man,True,,Southampton,no,False
1,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,yes,False
1,1,female,58.0,0,1,153.4625,S,First,woman,False,C,Southampton,yes,False
1,1,female,35.0,0,0,135.6333,S,First,woman,False,C,Southampton,yes,True
0,1,male,,0,0,31.0,S,First,man,True,,Southampton,no,True
1,3,male,25.0,0,0,0.0,S,Third,man,True,,Southampton,yes,True
1,2,female,41.0,0,1,19.5,S,Second,woman,False,,Southampton,yes,False
0,1,male,37.0,0,1,29.7,C,First,man,True,C,Cherbourg,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,63.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
0,3,female,45.0,0,0,7.75,S,Third,woman,False,,Southampton,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,7.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,female,35.0,1,1,20.25,S,Third,woman,False,,Southampton,yes,False
0,3,male,65.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,28.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,16.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,1,male,,0,0,26.0,S,First,man,True,A,Southampton,no,True
0,3,male,33.0,0,0,8.6625,C,Third,man,True,,Cherbourg,no,True
1,3,male,30.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
1,3,female,22.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,26.0,0,0,78.85,S,First,woman,False,,Southampton,yes,True
1,1,female,19.0,1,0,91.0792,C,First,woman,False,B,Cherbourg,yes,False
0,2,male,36.0,0,0,12.875,C,Second,man,True,D,Cherbourg,no,True
0,3,female,24.0,0,0,8.85,S,Third,woman,False,,Southampton,no,True
0,3,male,24.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
0,3,male,23.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,1,female,2.0,1,2,151.55,S,First,child,False,C,Southampton,no,False
1,1,male,,0,0,30.5,S,First,man,True,C,Southampton,yes,True
1,1,female,50.0,0,1,247.5208,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,3,male,,2,0,23.25,Q,Third,man,True,,Queenstown,yes,False
0,3,male,19.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
1,2,female,,0,0,12.35,Q,Second,woman,False,E,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,0.92,1,2,151.55,S,First,child,False,C,Southampton,yes,False
1,1,female,,0,0,110.8833,C,First,woman,False,,Cherbourg,yes,True
1,1,female,17.0,1,0,108.9,C,First,woman,False,C,Cherbourg,yes,False
0,2,male,30.0,1,0,24.0,C,Second,man,True,,Cherbourg,no,False
1,1,female,30.0,0,0,56.9292,C,First,woman,False,E,Cherbourg,yes,True
1,1,female,24.0,0,0,83.1583,C,First,woman,False,C,Cherbourg,yes,True
1,1,female,18.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
0,2,female,26.0,1,1,26.0,S,Second,woman,False,,Southampton,no,False
0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,43.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
1,3,female,26.0,0,0,7.8542,S,Third,woman,False,,Southampton,yes,True
1,2,female,24.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,54.0,0,0,14.0,S,Second,man,True,,Southampton,no,True
1,1,female,31.0,0,2,164.8667,S,First,woman,False,C,Southampton,yes,False
1,1,female,40.0,1,1,134.5,C,First,woman,False,E,Cherbourg,yes,False
0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,27.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,30.0,0,0,12.35,Q,Second,woman,False,,Queenstown,yes,True
1,2,female,22.0,1,1,29.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
1,1,female,36.0,0,0,135.6333,C,First,woman,False,C,Cherbourg,yes,True
0,3,male,61.0,0,0,6.2375,S,Third,man,True,,Southampton,no,True
1,2,female,36.0,0,0,13.0,S,Second,woman,False,D,Southampton,yes,True
1,3,female,31.0,1,1,20.525,S,Third,woman,False,,Southampton,yes,False
1,1,female,16.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,2,0,23.25,Q,Third,woman,False,,Queenstown,yes,False
0,1,male,45.5,0,0,28.5,S,First,man,True,C,Southampton,no,True
0,1,male,38.0,0,1,153.4625,S,First,man,True,C,Southampton,no,False
0,3,male,16.0,2,0,18.0,S,Third,man,True,,Southampton,no,False
1,1,female,,1,0,133.65,S,First,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,29.0,1,0,66.6,S,First,man,True,C,Southampton,no,False
1,1,female,41.0,0,0,134.5,C,First,woman,False,E,Cherbourg,yes,True
1,3,male,45.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,1,male,45.0,0,0,35.5,S,First,man,True,,Southampton,no,True
1,2,male,2.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
1,1,female,24.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
0,2,male,28.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,36.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,24.0,0,0,13.0,S,Second,woman,False,F,Southampton,yes,True
1,2,female,40.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
1,3,male,3.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
0,3,male,42.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,23.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,35.0,S,First,man,True,C,Southampton,no,True
0,3,male,15.0,1,1,7.2292,C,Third,child,False,,Cherbourg,no,False
0,3,male,25.0,1,0,17.8,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,1,female,22.0,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
0,2,female,38.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,40.0,1,4,27.9,S,Third,man,True,,Southampton,no,False
0,2,male,29.0,1,0,27.7208,C,Second,man,True,,Cherbourg,no,False
0,3,female,45.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
0,3,male,35.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
0,3,male,30.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,1,female,60.0,1,0,75.25,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,,0,0,7.2292,C,Third,woman,False,,Cherbourg,yes,True
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
1,1,male,25.0,1,0,55.4417,C,First,man,True,E,Cherbourg,yes,False
0,3,male,18.0,1,0,6.4958,S,Third,man,True,,Southampton,no,False
0,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,22.0,0,0,135.6333,C,First,man,True,,Cherbourg,no,True
0,3,female,3.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,1,female,,1,0,82.1708,C,First,woman,False,,Cherbourg,yes,False
1,3,female,22.0,0,0,7.25,S,Third,woman,False,,Southampton,yes,True
0,1,male,27.0,0,2,211.5,C,First,man,True,C,Cherbourg,no,False
0,3,male,20.0,0,0,4.0125,C,Third,man,True,,Cherbourg,no,True
0,3,male,19.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,1,female,42.0,0,0,227.525,C,First,woman,False,,Cherbourg,yes,True
1,3,female,1.0,0,2,15.7417,C,Third,child,False,,Cherbourg,yes,False
0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
1,1,female,35.0,1,0,52.0,S,First,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
0,3,male,1.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
1,2,female,36.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.7292,Q,Third,man,True,,Queenstown,no,True
1,2,female,17.0,0,0,12.0,C,Second,woman,False,,Cherbourg,yes,True
1,1,male,36.0,1,2,120.0,S,First,man,True,B,Southampton,yes,False
1,3,male,21.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
0,3,male,28.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
1,1,female,23.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,24.0,0,2,16.7,S,Third,woman,False,G,Southampton,yes,False
0,3,male,22.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,3,female,31.0,0,0,7.8542,S,Third,woman,False,,Southampton,no,True
0,2,male,46.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,female,28.0,0,0,12.65,S,Second,woman,False,,Southampton,yes,True
1,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,3,male,26.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,21.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
0,3,male,28.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
0,3,female,20.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,3,male,51.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
1,2,male,3.0,1,1,18.75,S,Second,child,False,,Southampton,yes,False
0,3,male,21.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,6.8583,Q,Third,man,True,,Queenstown,no,True
1,1,female,33.0,1,0,90.0,Q,First,woman,False,C,Queenstown,yes,False
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
1,3,male,44.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
1,2,female,34.0,1,1,32.5,S,Second,woman,False,,Southampton,yes,False
1,2,female,18.0,0,2,13.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,female,10.0,0,2,24.15,S,Third,child,False,,Southampton,no,False
0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,3,male,21.0,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
0,3,male,29.0,0,0,7.875,S,Third,man,True,,Southampton,no,True
0,3,female,28.0,1,1,14.4,S,Third,woman,False,,Southampton,no,False
0,3,male,18.0,1,1,20.2125,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,2,female,28.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
1,2,female,19.0,0,0,26.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,32.0,0,0,8.05,S,Third,man,True,E,Southampton,yes,True
1,1,male,28.0,0,0,26.55,S,First,man,True,C,Southampton,yes,True
1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
1,2,female,42.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,17.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
0,1,male,50.0,1,0,55.9,S,First,man,True,E,Southampton,no,False
1,1,female,14.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
0,3,female,21.0,2,2,34.375,S,Third,woman,False,,Southampton,no,False
1,2,female,24.0,2,3,18.75,S,Second,woman,False,,Southampton,yes,False
0,1,male,64.0,1,4,263.0,S,First,man,True,C,Southampton,no,False
0,2,male,31.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,female,45.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
0,3,male,20.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,no,False
1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,3,male,,0,0,8.1125,S,Third,man,True,,Southampton,yes,True
1,1,male,4.0,0,2,81.8583,S,First,child,False,A,Southampton,yes,False
1,2,female,13.0,0,1,19.5,S,Second,child,False,,Southampton,yes,False
1,1,male,34.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
1,3,female,5.0,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
1,1,male,52.0,0,0,30.5,S,First,man,True,C,Southampton,yes,True
0,2,male,36.0,1,2,27.75,S,Second,man,True,,Southampton,no,False
0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
0,1,male,30.0,0,0,27.75,C,First,man,True,C,Cherbourg,no,True
1,1,male,49.0,1,0,89.1042,C,First,man,True,C,Cherbourg,yes,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,29.0,0,0,7.8958,C,Third,man,True,,Cherbourg,yes,True
0,1,male,65.0,0,0,26.55,S,First,man,True,E,Southampton,no,True
1,1,female,,1,0,51.8625,S,First,woman,False,D,Southampton,yes,False
1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,1,male,48.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,47.0,0,0,38.5,S,First,man,True,E,Southampton,no,True
0,2,male,48.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,38.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,1,male,56.0,0,0,26.55,S,First,man,True,,Southampton,no,True
0,3,male,,0,0,7.725,Q,Third,man,True,,Queenstown,no,True
1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,38.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
1,2,female,33.0,1,2,27.75,S,Second,woman,False,,Southampton,yes,False
1,2,female,23.0,0,0,13.7917,C,Second,woman,False,D,Cherbourg,yes,True
0,3,female,22.0,0,0,9.8375,S,Third,woman,False,,Southampton,no,True
0,1,male,,0,0,52.0,S,First,man,True,A,Southampton,no,True
0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,3,male,29.0,1,0,7.0458,S,Third,man,True,,Southampton,no,False
0,3,male,22.0,0,0,7.5208,S,Third,man,True,,Southampton,no,True
1,3,female,2.0,0,1,12.2875,S,Third,child,False,,Southampton,yes,False
0,3,male,9.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,50.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,63.0,0,0,9.5875,S,Third,woman,False,,Southampton,yes,True
1,1,male,25.0,1,0,91.0792,C,First,man,True,B,Cherbourg,yes,False
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
1,1,female,35.0,1,0,90.0,S,First,woman,False,C,Southampton,yes,False
0,1,male,58.0,0,0,29.7,C,First,man,True,B,Cherbourg,no,True
0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,9.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
0,3,male,21.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,1,male,55.0,0,0,30.5,S,First,man,True,C,Southampton,no,True
0,1,male,71.0,0,0,49.5042,C,First,man,True,,Cherbourg,no,True
0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,14.4583,C,Third,man,True,,Cherbourg,no,True
1,1,female,54.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
0,3,male,,0,0,15.1,S,Third,man,True,,Southampton,no,True
0,1,female,25.0,1,2,151.55,S,First,woman,False,C,Southampton,no,False
0,3,male,24.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,female,21.0,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,3,female,,0,0,7.6292,Q,Third,woman,False,,Queenstown,no,True
0,3,female,37.0,0,0,9.5875,S,Third,woman,False,,Southampton,no,True
1,1,female,16.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
0,1,male,18.0,1,0,108.9,C,First,man,True,C,Cherbourg,no,False
1,2,female,33.0,0,2,26.0,S,Second,woman,False,,Southampton,yes,False
1,1,male,,0,0,26.55,S,First,man,True,,Southampton,yes,True
0,3,male,28.0,0,0,22.525,S,Third,man,True,,Southampton,no,True
1,3,male,26.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,3,male,29.0,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,36.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
1,1,female,54.0,1,0,59.4,C,First,woman,False,,Cherbourg,yes,False
0,3,male,24.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
0,1,male,47.0,0,0,34.0208,S,First,man,True,D,Southampton,no,True
1,2,female,34.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
0,3,male,,0,0,24.15,Q,Third,man,True,,Queenstown,no,True
1,2,female,36.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,32.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,30.0,0,0,93.5,S,First,woman,False,B,Southampton,yes,True
0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,1,female,44.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,40.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,1,male,,0,0,221.7792,S,First,man,True,C,Southampton,no,True
0,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,23.0,2,1,11.5,S,Second,man,True,,Southampton,no,False
1,2,female,2.0,1,1,26.0,S,Second,child,False,,Southampton,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,17.0,1,1,7.2292,C,Third,man,True,,Cherbourg,no,False
1,3,female,,0,2,22.3583,C,Third,woman,False,,Cherbourg,yes,False
0,3,female,30.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
1,2,female,7.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
0,1,male,45.0,0,0,26.55,S,First,man,True,B,Southampton,no,True
1,1,female,30.0,0,0,106.425,C,First,woman,False,,Cherbourg,yes,True
0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
1,1,female,22.0,0,2,49.5,C,First,woman,False,B,Cherbourg,yes,False
1,1,female,36.0,0,2,71.0,S,First,woman,False,B,Southampton,yes,False
0,3,female,9.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,female,11.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
1,2,male,32.0,1,0,26.0,S,Second,man,True,,Southampton,yes,False
0,1,male,50.0,1,0,106.425,C,First,man,True,C,Cherbourg,no,False
0,1,male,64.0,0,0,26.0,S,First,man,True,,Southampton,no,True
1,2,female,19.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
1,2,male,,0,0,13.8625,C,Second,man,True,,Cherbourg,yes,True
0,3,male,33.0,1,1,20.525,S,Third,man,True,,Southampton,no,False
1,2,male,8.0,1,1,36.75,S,Second,child,False,,Southampton,yes,False
1,1,male,17.0,0,2,110.8833,C,First,man,True,C,Cherbourg,yes,False
0,2,male,27.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,7.8292,Q,Third,man,True,,Queenstown,no,True
1,3,male,22.0,0,0,7.225,C,Third,man,True,,Cherbourg,yes,True
1,3,female,22.0,0,0,7.775,S,Third,woman,False,,Southampton,yes,True
0,1,male,62.0,0,0,26.55,S,First,man,True,,Southampton,no,True
1,1,female,48.0,1,0,39.6,C,First,woman,False,A,Cherbourg,yes,False
0,1,male,,0,0,227.525,C,First,man,True,,Cherbourg,no,True
1,1,female,39.0,1,1,79.65,S,First,woman,False,E,Southampton,yes,False
1,3,female,36.0,1,0,17.4,S,Third,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,40.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,28.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
0,3,male,24.0,2,0,24.15,S,Third,man,True,,Southampton,no,False
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,29.0,0,4,21.075,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,3,male,32.0,0,0,7.8542,S,Third,man,True,,Southampton,yes,True
1,2,male,62.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
1,1,female,53.0,2,0,51.4792,S,First,woman,False,C,Southampton,yes,False
1,1,male,36.0,0,0,26.3875,S,First,man,True,E,Southampton,yes,True
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,19.0,0,0,14.5,S,Third,man,True,,Southampton,no,True
1,2,female,34.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,1,female,39.0,1,0,55.9,S,First,woman,False,E,Southampton,yes,False
0,3,female,,1,0,14.4583,C,Third,woman,False,,Cherbourg,no,False
1,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
1,2,female,25.0,1,1,30.0,S,Second,woman,False,,Southampton,yes,False
1,1,female,39.0,1,1,110.8833,C,First,woman,False,C,Cherbourg,yes,False
0,2,male,54.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,1,male,36.0,0,0,40.125,C,First,man,True,A,Cherbourg,no,True
0,3,male,,0,0,8.7125,C,Third,man,True,,Cherbourg,no,True
1,1,female,18.0,0,2,79.65,S,First,woman,False,E,Southampton,yes,False
0,2,male,47.0,0,0,15.0,S,Second,man,True,,Southampton,no,True
1,1,male,60.0,1,1,79.2,C,First,man,True,B,Cherbourg,yes,False
0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,35.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
1,1,female,52.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
0,3,male,47.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,female,,0,2,7.75,Q,Third,woman,False,,Queenstown,no,False
0,2,male,37.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,male,36.0,1,1,24.15,S,Third,man,True,,Southampton,no,False
1,2,female,,0,0,33.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,49.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,1,male,49.0,1,0,56.9292,C,First,man,True,A,Cherbourg,yes,False
1,2,female,24.0,2,1,27.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,42.4,S,First,man,True,,Southampton,no,True
0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,35.0,0,0,26.55,C,First,man,True,,Cherbourg,yes,True
0,3,male,36.0,1,0,15.55,S,Third,man,True,,Southampton,no,False
0,3,male,30.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,27.0,0,0,30.5,S,First,man,True,,Southampton,yes,True
1,2,female,22.0,1,2,41.5792,C,Second,woman,False,,Cherbourg,yes,False
1,1,female,40.0,0,0,153.4625,S,First,woman,False,C,Southampton,yes,True
0,3,female,39.0,1,5,31.275,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.05,S,Third,man,True,,Southampton,no,True
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,2,female,24.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,34.0,1,1,14.4,S,Third,man,True,,Southampton,no,False
0,3,female,26.0,1,0,16.1,S,Third,woman,False,,Southampton,no,False
1,2,female,4.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
0,2,male,26.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,27.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
1,1,male,42.0,1,0,52.5542,S,First,man,True,D,Southampton,yes,False
1,3,male,20.0,1,1,15.7417,C,Third,man,True,,Cherbourg,yes,False
0,3,male,21.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,21.0,0,0,16.1,S,Third,man,True,,Southampton,no,True
0,1,male,61.0,0,0,32.3208,S,First,man,True,D,Southampton,no,True
0,2,male,57.0,0,0,12.35,Q,Second,man,True,,Queenstown,no,True
1,1,female,21.0,0,0,77.9583,S,First,woman,False,D,Southampton,yes,True
0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
1,1,male,80.0,0,0,30.0,S,First,man,True,A,Southampton,yes,True
0,3,male,51.0,0,0,7.0542,S,Third,man,True,,Southampton,no,True
1,1,male,32.0,0,0,30.5,C,First,man,True,B,Cherbourg,yes,True
0,1,male,,0,0,0.0,S,First,man,True,,Southampton,no,True
0,3,female,9.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,31.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
0,3,female,41.0,0,5,39.6875,S,Third,woman,False,,Southampton,no,False
0,3,male,,1,0,16.1,S,Third,man,True,,Southampton,no,False
0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
0,3,female,2.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
1,1,male,48.0,1,0,76.7292,C,First,man,True,D,Cherbourg,yes,False
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,56.0,0,0,35.5,C,First,man,True,A,Cherbourg,yes,True
0,3,male,,0,0,7.55,S,Third,man,True,,Southampton,no,True
1,3,female,23.0,0,0,7.55,S,Third,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,18.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,21.0,0,0,8.4333,S,Third,man,True,,Southampton,no,True
1,3,female,,0,0,7.8292,Q,Third,woman,False,,Queenstown,yes,True
0,3,female,18.0,0,0,6.75,Q,Third,woman,False,,Queenstown,no,True
0,2,male,24.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,32.0,1,1,15.5,Q,Third,woman,False,,Queenstown,no,False
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,1,male,58.0,0,2,113.275,C,First,man,True,D,Cherbourg,no,False
1,1,male,50.0,2,0,133.65,S,First,man,True,,Southampton,yes,False
0,3,male,40.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,47.0,0,0,25.5875,S,First,man,True,E,Southampton,no,True
0,3,male,36.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
1,3,male,20.0,1,0,7.925,S,Third,man,True,,Southampton,yes,False
0,2,male,32.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,43.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,,1,0,52.0,S,First,woman,False,C,Southampton,yes,False
1,2,female,40.0,1,1,39.0,S,Second,woman,False,,Southampton,yes,False
0,1,male,31.0,1,0,52.0,S,First,man,True,B,Southampton,no,False
0,2,male,70.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,male,31.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,18.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,24.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,18.0,0,0,9.8417,S,Third,woman,False,,Southampton,yes,True
0,3,female,43.0,1,6,46.9,S,Third,woman,False,,Southampton,no,False
1,1,male,36.0,0,1,512.3292,C,First,man,True,B,Cherbourg,yes,False
0,3,female,,0,0,8.1375,Q,Third,woman,False,,Queenstown,no,True
1,1,male,27.0,0,0,76.7292,C,First,man,True,D,Cherbourg,yes,True
0,3,male,20.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
0,3,male,14.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,2,male,60.0,1,1,39.0,S,Second,man,True,,Southampton,no,False
0,2,male,25.0,1,2,41.5792,C,Second,man,True,,Cherbourg,no,False
0,3,male,14.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,19.0,0,0,10.1708,S,Third,man,True,,Southampton,no,True
0,3,male,18.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
1,1,female,15.0,0,1,211.3375,S,First,child,False,B,Southampton,yes,False
1,1,male,31.0,1,0,57.0,S,First,man,True,B,Southampton,yes,False
1,3,female,4.0,0,1,13.4167,C,Third,child,False,,Cherbourg,yes,False
1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
0,3,male,25.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,60.0,0,0,26.55,S,First,man,True,,Southampton,no,True
0,2,male,52.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
0,1,male,49.0,1,1,110.8833,C,First,man,True,C,Cherbourg,no,False
0,3,male,42.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
1,1,female,18.0,1,0,227.525,C,First,woman,False,C,Cherbourg,yes,False
1,1,male,35.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
0,3,female,18.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
0,3,male,25.0,0,0,7.7417,Q,Third,man,True,,Queenstown,no,True
0,3,male,26.0,1,0,7.8542,S,Third,man,True,,Southampton,no,False
0,2,male,39.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
1,2,female,45.0,0,0,13.5,S,Second,woman,False,,Southampton,yes,True
1,1,male,42.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
1,1,female,22.0,0,0,151.55,S,First,woman,False,,Southampton,yes,True
1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
1,1,female,24.0,0,0,49.5042,C,First,woman,False,C,Cherbourg,yes,True
0,1,male,,0,0,26.55,S,First,man,True,C,Southampton,no,True
1,1,male,48.0,1,0,52.0,S,First,man,True,C,Southampton,yes,False
0,3,male,29.0,0,0,9.4833,S,Third,man,True,,Southampton,no,True
0,2,male,52.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,19.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
1,1,female,38.0,0,0,227.525,C,First,woman,False,C,Cherbourg,yes,True
1,2,female,27.0,0,0,10.5,S,Second,woman,False,E,Southampton,yes,True
0,3,male,,0,0,15.5,Q,Third,man,True,,Queenstown,no,True
0,3,male,33.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,2,female,6.0,0,1,33.0,S,Second,child,False,,Southampton,yes,False
0,3,male,17.0,1,0,7.0542,S,Third,man,True,,Southampton,no,False
0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,50.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,male,27.0,1,0,53.1,S,First,man,True,E,Southampton,yes,False
0,3,male,20.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
1,2,female,30.0,3,0,21.0,S,Second,woman,False,,Southampton,yes,False
1,3,female,,0,0,7.7375,Q,Third,woman,False,,Queenstown,yes,True
0,2,male,25.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,female,25.0,1,0,7.925,S,Third,woman,False,,Southampton,no,False
1,1,female,29.0,0,0,211.3375,S,First,woman,False,B,Southampton,yes,True
0,3,male,11.0,0,0,18.7875,C,Third,child,False,,Cherbourg,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,28.5,0,0,16.1,S,Third,man,True,,Southampton,no,True
0,3,female,48.0,1,3,34.375,S,Third,woman,False,,Southampton,no,False
1,1,male,35.0,0,0,512.3292,C,First,man,True,B,Cherbourg,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,,0,0,30.0,S,First,man,True,D,Southampton,yes,True
0,1,male,36.0,1,0,78.85,S,First,man,True,C,Southampton,no,False
1,1,female,21.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
0,3,male,24.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
1,3,male,31.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,1,male,70.0,1,1,71.0,S,First,man,True,B,Southampton,no,False
0,3,male,16.0,1,1,20.25,S,Third,man,True,,Southampton,no,False
1,2,female,30.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,1,male,19.0,1,0,53.1,S,First,man,True,D,Southampton,no,False
0,3,male,31.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,2,female,4.0,1,1,23.0,S,Second,child,False,,Southampton,yes,False
1,3,male,6.0,0,1,12.475,S,Third,child,False,E,Southampton,yes,False
0,3,male,33.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,23.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,48.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
1,2,male,0.67,1,1,14.5,S,Second,child,False,,Southampton,yes,False
0,3,male,28.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,33.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
0,3,male,41.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
1,3,male,20.0,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
1,1,female,36.0,1,2,120.0,S,First,woman,False,B,Southampton,yes,False
0,3,male,16.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,1,female,51.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
0,1,male,,0,0,39.6,C,First,man,True,,Cherbourg,no,True
0,3,female,30.5,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,3,male,,1,0,24.15,Q,Third,man,True,,Queenstown,no,False
0,3,male,32.0,0,0,8.3625,S,Third,man,True,,Southampton,no,True
0,3,male,24.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,48.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,2,female,57.0,0,0,10.5,S,Second,woman,False,E,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,2,female,54.0,1,3,23.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,18.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.75,Q,Third,man,True,F,Queenstown,no,True
1,3,female,5.0,0,0,12.475,S,Third,child,False,,Southampton,yes,True
0,3,male,,0,0,7.7375,Q,Third,man,True,,Queenstown,no,True
1,1,female,43.0,0,1,211.3375,S,First,woman,False,B,Southampton,yes,False
1,3,female,13.0,0,0,7.2292,C,Third,child,False,,Cherbourg,yes,True
1,1,female,17.0,1,0,57.0,S,First,woman,False,B,Southampton,yes,False
0,1,male,29.0,0,0,30.0,S,First,man,True,D,Southampton,no,True
0,3,male,,1,2,23.45,S,Third,man,True,,Southampton,no,False
0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,male,25.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,3,female,18.0,0,0,7.4958,S,Third,woman,False,,Southampton,yes,True
0,3,male,8.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,male,1.0,1,2,20.575,S,Third,child,False,,Southampton,yes,False
0,1,male,46.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,16.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,1,male,,0,0,30.6958,C,First,man,True,,Cherbourg,no,True
0,3,male,25.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,49.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
1,3,female,31.0,0,0,8.6833,S,Third,woman,False,,Southampton,yes,True
0,3,male,30.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,female,30.0,1,1,24.15,S,Third,woman,False,,Southampton,no,False
0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,31.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
1,1,male,11.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
1,3,male,0.42,0,1,8.5167,C,Third,child,False,,Cherbourg,yes,False
1,3,male,27.0,0,0,6.975,S,Third,man,True,,Southampton,yes,True
0,3,male,31.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,1,male,39.0,0,0,0.0,S,First,man,True,A,Southampton,no,True
0,3,female,18.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,33.0,1,0,53.1,S,First,woman,False,E,Southampton,yes,False
0,3,male,26.0,0,0,7.8875,S,Third,man,True,,Southampton,no,True
0,3,male,39.0,0,0,24.15,S,Third,man,True,,Southampton,no,True
0,2,male,35.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,6.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,male,30.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,0.0,S,First,man,True,B,Southampton,no,True
0,3,female,23.0,0,0,7.925,S,Third,woman,False,,Southampton,no,True
0,2,male,31.0,1,1,37.0042,C,Second,man,True,,Cherbourg,no,False
0,3,male,43.0,0,0,6.45,S,Third,man,True,,Southampton,no,True
0,3,male,10.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,1,female,52.0,1,1,93.5,S,First,woman,False,B,Southampton,yes,False
1,3,male,27.0,0,0,8.6625,S,Third,man,True,,Southampton,yes,True
0,1,male,38.0,0,0,0.0,S,First,man,True,,Southampton,no,True
1,3,female,27.0,0,1,12.475,S,Third,woman,False,E,Southampton,yes,False
0,3,male,2.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,,0,0,6.95,Q,Third,man,True,,Queenstown,no,True
0,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,no,True
1,2,male,1.0,0,2,37.0042,C,Second,child,False,,Cherbourg,yes,False
1,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
1,1,female,62.0,0,0,80.0,,First,woman,False,B,,yes,True
1,3,female,15.0,1,0,14.4542,C,Third,child,False,,Cherbourg,yes,False
1,2,male,0.83,1,1,18.75,S,Second,child,False,,Southampton,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,23.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,18.0,0,0,8.3,S,Third,man,True,,Southampton,no,True
1,1,female,39.0,1,1,83.1583,C,First,woman,False,E,Cherbourg,yes,False
0,3,male,21.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,1,male,,0,0,29.7,C,First,man,True,C,Cherbourg,yes,True
0,3,male,20.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,16.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,1,female,30.0,0,0,31.0,C,First,woman,False,,Cherbourg,yes,True
0,3,male,34.5,0,0,6.4375,C,Third,man,True,,Cherbourg,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,42.0,0,0,7.55,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,35.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,2,male,28.0,0,1,33.0,S,Second,man,True,,Southampton,no,False
1,1,female,,1,0,89.1042,C,First,woman,False,C,Cherbourg,yes,False
0,3,male,4.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,male,74.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,female,9.0,1,1,15.2458,C,Third,child,False,,Cherbourg,no,False
1,1,female,16.0,0,1,39.4,S,First,woman,False,D,Southampton,yes,False
0,2,female,44.0,1,0,26.0,S,Second,woman,False,,Southampton,no,False
1,3,female,18.0,0,1,9.35,S,Third,woman,False,,Southampton,yes,False
1,1,female,45.0,1,1,164.8667,S,First,woman,False,,Southampton,yes,False
1,1,male,51.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
1,3,female,24.0,0,3,19.2583,C,Third,woman,False,,Cherbourg,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,41.0,2,0,14.1083,S,Third,man,True,,Southampton,no,False
0,2,male,21.0,1,0,11.5,S,Second,man,True,,Southampton,no,False
1,1,female,48.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,2,male,24.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,42.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,2,female,27.0,1,0,13.8583,C,Second,woman,False,,Cherbourg,yes,False
0,1,male,31.0,0,0,50.4958,S,First,man,True,A,Southampton,no,True
0,3,male,,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,3,male,4.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,47.0,1,1,52.5542,S,First,woman,False,D,Southampton,yes,False
0,1,male,33.0,0,0,5.0,S,First,man,True,B,Southampton,no,True
0,3,male,47.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
1,2,female,28.0,1,0,24.0,C,Second,woman,False,,Cherbourg,yes,False
1,3,female,15.0,0,0,7.225,C,Third,child,False,,Cherbourg,yes,True
0,3,male,20.0,0,0,9.8458,S,Third,man,True,,Southampton,no,True
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,56.0,0,1,83.1583,C,First,woman,False,C,Cherbourg,yes,False
1,2,female,25.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,33.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,22.0,0,0,10.5167,S,Third,woman,False,,Southampton,no,True
0,2,male,28.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,female,39.0,0,5,29.125,Q,Third,woman,False,,Queenstown,no,False
0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,19.0,0,0,30.0,S,First,woman,False,B,Southampton,yes,True
0,3,female,,1,2,23.45,S,Third,woman,False,,Southampton,no,False
1,1,male,26.0,0,0,30.0,C,First,man,True,C,Cherbourg,yes,True
0,3,male,32.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1 survived pclass sex age sibsp parch fare embarked class who adult_male deck embark_town alive alone
2 0 3 male 22.0 1 0 7.25 S Third man True Southampton no False
3 1 1 female 38.0 1 0 71.2833 C First woman False C Cherbourg yes False
4 1 3 female 26.0 0 0 7.925 S Third woman False Southampton yes True
5 1 1 female 35.0 1 0 53.1 S First woman False C Southampton yes False
6 0 3 male 35.0 0 0 8.05 S Third man True Southampton no True
7 0 3 male 0 0 8.4583 Q Third man True Queenstown no True
8 0 1 male 54.0 0 0 51.8625 S First man True E Southampton no True
9 0 3 male 2.0 3 1 21.075 S Third child False Southampton no False
10 1 3 female 27.0 0 2 11.1333 S Third woman False Southampton yes False
11 1 2 female 14.0 1 0 30.0708 C Second child False Cherbourg yes False
12 1 3 female 4.0 1 1 16.7 S Third child False G Southampton yes False
13 1 1 female 58.0 0 0 26.55 S First woman False C Southampton yes True
14 0 3 male 20.0 0 0 8.05 S Third man True Southampton no True
15 0 3 male 39.0 1 5 31.275 S Third man True Southampton no False
16 0 3 female 14.0 0 0 7.8542 S Third child False Southampton no True
17 1 2 female 55.0 0 0 16.0 S Second woman False Southampton yes True
18 0 3 male 2.0 4 1 29.125 Q Third child False Queenstown no False
19 1 2 male 0 0 13.0 S Second man True Southampton yes True
20 0 3 female 31.0 1 0 18.0 S Third woman False Southampton no False
21 1 3 female 0 0 7.225 C Third woman False Cherbourg yes True
22 0 2 male 35.0 0 0 26.0 S Second man True Southampton no True
23 1 2 male 34.0 0 0 13.0 S Second man True D Southampton yes True
24 1 3 female 15.0 0 0 8.0292 Q Third child False Queenstown yes True
25 1 1 male 28.0 0 0 35.5 S First man True A Southampton yes True
26 0 3 female 8.0 3 1 21.075 S Third child False Southampton no False
27 1 3 female 38.0 1 5 31.3875 S Third woman False Southampton yes False
28 0 3 male 0 0 7.225 C Third man True Cherbourg no True
29 0 1 male 19.0 3 2 263.0 S First man True C Southampton no False
30 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
31 0 3 male 0 0 7.8958 S Third man True Southampton no True
32 0 1 male 40.0 0 0 27.7208 C First man True Cherbourg no True
33 1 1 female 1 0 146.5208 C First woman False B Cherbourg yes False
34 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
35 0 2 male 66.0 0 0 10.5 S Second man True Southampton no True
36 0 1 male 28.0 1 0 82.1708 C First man True Cherbourg no False
37 0 1 male 42.0 1 0 52.0 S First man True Southampton no False
38 1 3 male 0 0 7.2292 C Third man True Cherbourg yes True
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40 0 3 female 18.0 2 0 18.0 S Third woman False Southampton no False
41 1 3 female 14.0 1 0 11.2417 C Third child False Cherbourg yes False
42 0 3 female 40.0 1 0 9.475 S Third woman False Southampton no False
43 0 2 female 27.0 1 0 21.0 S Second woman False Southampton no False
44 0 3 male 0 0 7.8958 C Third man True Cherbourg no True
45 1 2 female 3.0 1 2 41.5792 C Second child False Cherbourg yes False
46 1 3 female 19.0 0 0 7.8792 Q Third woman False Queenstown yes True
47 0 3 male 0 0 8.05 S Third man True Southampton no True
48 0 3 male 1 0 15.5 Q Third man True Queenstown no False
49 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
50 0 3 male 2 0 21.6792 C Third man True Cherbourg no False
51 0 3 female 18.0 1 0 17.8 S Third woman False Southampton no False
52 0 3 male 7.0 4 1 39.6875 S Third child False Southampton no False
53 0 3 male 21.0 0 0 7.8 S Third man True Southampton no True
54 1 1 female 49.0 1 0 76.7292 C First woman False D Cherbourg yes False
55 1 2 female 29.0 1 0 26.0 S Second woman False Southampton yes False
56 0 1 male 65.0 0 1 61.9792 C First man True B Cherbourg no False
57 1 1 male 0 0 35.5 S First man True C Southampton yes True
58 1 2 female 21.0 0 0 10.5 S Second woman False Southampton yes True
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60 1 2 female 5.0 1 2 27.75 S Second child False Southampton yes False
61 0 3 male 11.0 5 2 46.9 S Third child False Southampton no False
62 0 3 male 22.0 0 0 7.2292 C Third man True Cherbourg no True
63 1 1 female 38.0 0 0 80.0 First woman False B yes True
64 0 1 male 45.0 1 0 83.475 S First man True C Southampton no False
65 0 3 male 4.0 3 2 27.9 S Third child False Southampton no False
66 0 1 male 0 0 27.7208 C First man True Cherbourg no True
67 1 3 male 1 1 15.2458 C Third man True Cherbourg yes False
68 1 2 female 29.0 0 0 10.5 S Second woman False F Southampton yes True
69 0 3 male 19.0 0 0 8.1583 S Third man True Southampton no True
70 1 3 female 17.0 4 2 7.925 S Third woman False Southampton yes False
71 0 3 male 26.0 2 0 8.6625 S Third man True Southampton no False
72 0 2 male 32.0 0 0 10.5 S Second man True Southampton no True
73 0 3 female 16.0 5 2 46.9 S Third woman False Southampton no False
74 0 2 male 21.0 0 0 73.5 S Second man True Southampton no True
75 0 3 male 26.0 1 0 14.4542 C Third man True Cherbourg no False
76 1 3 male 32.0 0 0 56.4958 S Third man True Southampton yes True
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78 0 3 male 0 0 7.8958 S Third man True Southampton no True
79 0 3 male 0 0 8.05 S Third man True Southampton no True
80 1 2 male 0.83 0 2 29.0 S Second child False Southampton yes False
81 1 3 female 30.0 0 0 12.475 S Third woman False Southampton yes True
82 0 3 male 22.0 0 0 9.0 S Third man True Southampton no True
83 1 3 male 29.0 0 0 9.5 S Third man True Southampton yes True
84 1 3 female 0 0 7.7875 Q Third woman False Queenstown yes True
85 0 1 male 28.0 0 0 47.1 S First man True Southampton no True
86 1 2 female 17.0 0 0 10.5 S Second woman False Southampton yes True
87 1 3 female 33.0 3 0 15.85 S Third woman False Southampton yes False
88 0 3 male 16.0 1 3 34.375 S Third man True Southampton no False
89 0 3 male 0 0 8.05 S Third man True Southampton no True
90 1 1 female 23.0 3 2 263.0 S First woman False C Southampton yes False
91 0 3 male 24.0 0 0 8.05 S Third man True Southampton no True
92 0 3 male 29.0 0 0 8.05 S Third man True Southampton no True
93 0 3 male 20.0 0 0 7.8542 S Third man True Southampton no True
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95 0 3 male 26.0 1 2 20.575 S Third man True Southampton no False
96 0 3 male 59.0 0 0 7.25 S Third man True Southampton no True
97 0 3 male 0 0 8.05 S Third man True Southampton no True
98 0 1 male 71.0 0 0 34.6542 C First man True A Cherbourg no True
99 1 1 male 23.0 0 1 63.3583 C First man True D Cherbourg yes False
100 1 2 female 34.0 0 1 23.0 S Second woman False Southampton yes False
101 0 2 male 34.0 1 0 26.0 S Second man True Southampton no False
102 0 3 female 28.0 0 0 7.8958 S Third woman False Southampton no True
103 0 3 male 0 0 7.8958 S Third man True Southampton no True
104 0 1 male 21.0 0 1 77.2875 S First man True D Southampton no False
105 0 3 male 33.0 0 0 8.6542 S Third man True Southampton no True
106 0 3 male 37.0 2 0 7.925 S Third man True Southampton no False
107 0 3 male 28.0 0 0 7.8958 S Third man True Southampton no True
108 1 3 female 21.0 0 0 7.65 S Third woman False Southampton yes True
109 1 3 male 0 0 7.775 S Third man True Southampton yes True
110 0 3 male 38.0 0 0 7.8958 S Third man True Southampton no True
111 1 3 female 1 0 24.15 Q Third woman False Queenstown yes False
112 0 1 male 47.0 0 0 52.0 S First man True C Southampton no True
113 0 3 female 14.5 1 0 14.4542 C Third child False Cherbourg no False
114 0 3 male 22.0 0 0 8.05 S Third man True Southampton no True
115 0 3 female 20.0 1 0 9.825 S Third woman False Southampton no False
116 0 3 female 17.0 0 0 14.4583 C Third woman False Cherbourg no True
117 0 3 male 21.0 0 0 7.925 S Third man True Southampton no True
118 0 3 male 70.5 0 0 7.75 Q Third man True Queenstown no True
119 0 2 male 29.0 1 0 21.0 S Second man True Southampton no False
120 0 1 male 24.0 0 1 247.5208 C First man True B Cherbourg no False
121 0 3 female 2.0 4 2 31.275 S Third child False Southampton no False
122 0 2 male 21.0 2 0 73.5 S Second man True Southampton no False
123 0 3 male 0 0 8.05 S Third man True Southampton no True
124 0 2 male 32.5 1 0 30.0708 C Second man True Cherbourg no False
125 1 2 female 32.5 0 0 13.0 S Second woman False E Southampton yes True
126 0 1 male 54.0 0 1 77.2875 S First man True D Southampton no False
127 1 3 male 12.0 1 0 11.2417 C Third child False Cherbourg yes False
128 0 3 male 0 0 7.75 Q Third man True Queenstown no True
129 1 3 male 24.0 0 0 7.1417 S Third man True Southampton yes True
130 1 3 female 1 1 22.3583 C Third woman False F Cherbourg yes False
131 0 3 male 45.0 0 0 6.975 S Third man True Southampton no True
132 0 3 male 33.0 0 0 7.8958 C Third man True Cherbourg no True
133 0 3 male 20.0 0 0 7.05 S Third man True Southampton no True
134 0 3 female 47.0 1 0 14.5 S Third woman False Southampton no False
135 1 2 female 29.0 1 0 26.0 S Second woman False Southampton yes False
136 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
137 0 2 male 23.0 0 0 15.0458 C Second man True Cherbourg no True
138 1 1 female 19.0 0 2 26.2833 S First woman False D Southampton yes False
139 0 1 male 37.0 1 0 53.1 S First man True C Southampton no False
140 0 3 male 16.0 0 0 9.2167 S Third man True Southampton no True
141 0 1 male 24.0 0 0 79.2 C First man True B Cherbourg no True
142 0 3 female 0 2 15.2458 C Third woman False Cherbourg no False
143 1 3 female 22.0 0 0 7.75 S Third woman False Southampton yes True
144 1 3 female 24.0 1 0 15.85 S Third woman False Southampton yes False
145 0 3 male 19.0 0 0 6.75 Q Third man True Queenstown no True
146 0 2 male 18.0 0 0 11.5 S Second man True Southampton no True
147 0 2 male 19.0 1 1 36.75 S Second man True Southampton no False
148 1 3 male 27.0 0 0 7.7958 S Third man True Southampton yes True
149 0 3 female 9.0 2 2 34.375 S Third child False Southampton no False
150 0 2 male 36.5 0 2 26.0 S Second man True F Southampton no False
151 0 2 male 42.0 0 0 13.0 S Second man True Southampton no True
152 0 2 male 51.0 0 0 12.525 S Second man True Southampton no True
153 1 1 female 22.0 1 0 66.6 S First woman False C Southampton yes False
154 0 3 male 55.5 0 0 8.05 S Third man True Southampton no True
155 0 3 male 40.5 0 2 14.5 S Third man True Southampton no False
156 0 3 male 0 0 7.3125 S Third man True Southampton no True
157 0 1 male 51.0 0 1 61.3792 C First man True Cherbourg no False
158 1 3 female 16.0 0 0 7.7333 Q Third woman False Queenstown yes True
159 0 3 male 30.0 0 0 8.05 S Third man True Southampton no True
160 0 3 male 0 0 8.6625 S Third man True Southampton no True
161 0 3 male 8 2 69.55 S Third man True Southampton no False
162 0 3 male 44.0 0 1 16.1 S Third man True Southampton no False
163 1 2 female 40.0 0 0 15.75 S Second woman False Southampton yes True
164 0 3 male 26.0 0 0 7.775 S Third man True Southampton no True
165 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
166 0 3 male 1.0 4 1 39.6875 S Third child False Southampton no False
167 1 3 male 9.0 0 2 20.525 S Third child False Southampton yes False
168 1 1 female 0 1 55.0 S First woman False E Southampton yes False
169 0 3 female 45.0 1 4 27.9 S Third woman False Southampton no False
170 0 1 male 0 0 25.925 S First man True Southampton no True
171 0 3 male 28.0 0 0 56.4958 S Third man True Southampton no True
172 0 1 male 61.0 0 0 33.5 S First man True B Southampton no True
173 0 3 male 4.0 4 1 29.125 Q Third child False Queenstown no False
174 1 3 female 1.0 1 1 11.1333 S Third child False Southampton yes False
175 0 3 male 21.0 0 0 7.925 S Third man True Southampton no True
176 0 1 male 56.0 0 0 30.6958 C First man True A Cherbourg no True
177 0 3 male 18.0 1 1 7.8542 S Third man True Southampton no False
178 0 3 male 3 1 25.4667 S Third man True Southampton no False
179 0 1 female 50.0 0 0 28.7125 C First woman False C Cherbourg no True
180 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
181 0 3 male 36.0 0 0 0.0 S Third man True Southampton no True
182 0 3 female 8 2 69.55 S Third woman False Southampton no False
183 0 2 male 0 0 15.05 C Second man True Cherbourg no True
184 0 3 male 9.0 4 2 31.3875 S Third child False Southampton no False
185 1 2 male 1.0 2 1 39.0 S Second child False F Southampton yes False
186 1 3 female 4.0 0 2 22.025 S Third child False Southampton yes False
187 0 1 male 0 0 50.0 S First man True A Southampton no True
188 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
189 1 1 male 45.0 0 0 26.55 S First man True Southampton yes True
190 0 3 male 40.0 1 1 15.5 Q Third man True Queenstown no False
191 0 3 male 36.0 0 0 7.8958 S Third man True Southampton no True
192 1 2 female 32.0 0 0 13.0 S Second woman False Southampton yes True
193 0 2 male 19.0 0 0 13.0 S Second man True Southampton no True
194 1 3 female 19.0 1 0 7.8542 S Third woman False Southampton yes False
195 1 2 male 3.0 1 1 26.0 S Second child False F Southampton yes False
196 1 1 female 44.0 0 0 27.7208 C First woman False B Cherbourg yes True
197 1 1 female 58.0 0 0 146.5208 C First woman False B Cherbourg yes True
198 0 3 male 0 0 7.75 Q Third man True Queenstown no True
199 0 3 male 42.0 0 1 8.4042 S Third man True Southampton no False
200 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
201 0 2 female 24.0 0 0 13.0 S Second woman False Southampton no True
202 0 3 male 28.0 0 0 9.5 S Third man True Southampton no True
203 0 3 male 8 2 69.55 S Third man True Southampton no False
204 0 3 male 34.0 0 0 6.4958 S Third man True Southampton no True
205 0 3 male 45.5 0 0 7.225 C Third man True Cherbourg no True
206 1 3 male 18.0 0 0 8.05 S Third man True Southampton yes True
207 0 3 female 2.0 0 1 10.4625 S Third child False G Southampton no False
208 0 3 male 32.0 1 0 15.85 S Third man True Southampton no False
209 1 3 male 26.0 0 0 18.7875 C Third man True Cherbourg yes True
210 1 3 female 16.0 0 0 7.75 Q Third woman False Queenstown yes True
211 1 1 male 40.0 0 0 31.0 C First man True A Cherbourg yes True
212 0 3 male 24.0 0 0 7.05 S Third man True Southampton no True
213 1 2 female 35.0 0 0 21.0 S Second woman False Southampton yes True
214 0 3 male 22.0 0 0 7.25 S Third man True Southampton no True
215 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
216 0 3 male 1 0 7.75 Q Third man True Queenstown no False
217 1 1 female 31.0 1 0 113.275 C First woman False D Cherbourg yes False
218 1 3 female 27.0 0 0 7.925 S Third woman False Southampton yes True
219 0 2 male 42.0 1 0 27.0 S Second man True Southampton no False
220 1 1 female 32.0 0 0 76.2917 C First woman False D Cherbourg yes True
221 0 2 male 30.0 0 0 10.5 S Second man True Southampton no True
222 1 3 male 16.0 0 0 8.05 S Third man True Southampton yes True
223 0 2 male 27.0 0 0 13.0 S Second man True Southampton no True
224 0 3 male 51.0 0 0 8.05 S Third man True Southampton no True
225 0 3 male 0 0 7.8958 S Third man True Southampton no True
226 1 1 male 38.0 1 0 90.0 S First man True C Southampton yes False
227 0 3 male 22.0 0 0 9.35 S Third man True Southampton no True
228 1 2 male 19.0 0 0 10.5 S Second man True Southampton yes True
229 0 3 male 20.5 0 0 7.25 S Third man True Southampton no True
230 0 2 male 18.0 0 0 13.0 S Second man True Southampton no True
231 0 3 female 3 1 25.4667 S Third woman False Southampton no False
232 1 1 female 35.0 1 0 83.475 S First woman False C Southampton yes False
233 0 3 male 29.0 0 0 7.775 S Third man True Southampton no True
234 0 2 male 59.0 0 0 13.5 S Second man True Southampton no True
235 1 3 female 5.0 4 2 31.3875 S Third child False Southampton yes False
236 0 2 male 24.0 0 0 10.5 S Second man True Southampton no True
237 0 3 female 0 0 7.55 S Third woman False Southampton no True
238 0 2 male 44.0 1 0 26.0 S Second man True Southampton no False
239 1 2 female 8.0 0 2 26.25 S Second child False Southampton yes False
240 0 2 male 19.0 0 0 10.5 S Second man True Southampton no True
241 0 2 male 33.0 0 0 12.275 S Second man True Southampton no True
242 0 3 female 1 0 14.4542 C Third woman False Cherbourg no False
243 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
244 0 2 male 29.0 0 0 10.5 S Second man True Southampton no True
245 0 3 male 22.0 0 0 7.125 S Third man True Southampton no True
246 0 3 male 30.0 0 0 7.225 C Third man True Cherbourg no True
247 0 1 male 44.0 2 0 90.0 Q First man True C Queenstown no False
248 0 3 female 25.0 0 0 7.775 S Third woman False Southampton no True
249 1 2 female 24.0 0 2 14.5 S Second woman False Southampton yes False
250 1 1 male 37.0 1 1 52.5542 S First man True D Southampton yes False
251 0 2 male 54.0 1 0 26.0 S Second man True Southampton no False
252 0 3 male 0 0 7.25 S Third man True Southampton no True
253 0 3 female 29.0 1 1 10.4625 S Third woman False G Southampton no False
254 0 1 male 62.0 0 0 26.55 S First man True C Southampton no True
255 0 3 male 30.0 1 0 16.1 S Third man True Southampton no False
256 0 3 female 41.0 0 2 20.2125 S Third woman False Southampton no False
257 1 3 female 29.0 0 2 15.2458 C Third woman False Cherbourg yes False
258 1 1 female 0 0 79.2 C First woman False Cherbourg yes True
259 1 1 female 30.0 0 0 86.5 S First woman False B Southampton yes True
260 1 1 female 35.0 0 0 512.3292 C First woman False Cherbourg yes True
261 1 2 female 50.0 0 1 26.0 S Second woman False Southampton yes False
262 0 3 male 0 0 7.75 Q Third man True Queenstown no True
263 1 3 male 3.0 4 2 31.3875 S Third child False Southampton yes False
264 0 1 male 52.0 1 1 79.65 S First man True E Southampton no False
265 0 1 male 40.0 0 0 0.0 S First man True B Southampton no True
266 0 3 female 0 0 7.75 Q Third woman False Queenstown no True
267 0 2 male 36.0 0 0 10.5 S Second man True Southampton no True
268 0 3 male 16.0 4 1 39.6875 S Third man True Southampton no False
269 1 3 male 25.0 1 0 7.775 S Third man True Southampton yes False
270 1 1 female 58.0 0 1 153.4625 S First woman False C Southampton yes False
271 1 1 female 35.0 0 0 135.6333 S First woman False C Southampton yes True
272 0 1 male 0 0 31.0 S First man True Southampton no True
273 1 3 male 25.0 0 0 0.0 S Third man True Southampton yes True
274 1 2 female 41.0 0 1 19.5 S Second woman False Southampton yes False
275 0 1 male 37.0 0 1 29.7 C First man True C Cherbourg no False
276 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
277 1 1 female 63.0 1 0 77.9583 S First woman False D Southampton yes False
278 0 3 female 45.0 0 0 7.75 S Third woman False Southampton no True
279 0 2 male 0 0 0.0 S Second man True Southampton no True
280 0 3 male 7.0 4 1 29.125 Q Third child False Queenstown no False
281 1 3 female 35.0 1 1 20.25 S Third woman False Southampton yes False
282 0 3 male 65.0 0 0 7.75 Q Third man True Queenstown no True
283 0 3 male 28.0 0 0 7.8542 S Third man True Southampton no True
284 0 3 male 16.0 0 0 9.5 S Third man True Southampton no True
285 1 3 male 19.0 0 0 8.05 S Third man True Southampton yes True
286 0 1 male 0 0 26.0 S First man True A Southampton no True
287 0 3 male 33.0 0 0 8.6625 C Third man True Cherbourg no True
288 1 3 male 30.0 0 0 9.5 S Third man True Southampton yes True
289 0 3 male 22.0 0 0 7.8958 S Third man True Southampton no True
290 1 2 male 42.0 0 0 13.0 S Second man True Southampton yes True
291 1 3 female 22.0 0 0 7.75 Q Third woman False Queenstown yes True
292 1 1 female 26.0 0 0 78.85 S First woman False Southampton yes True
293 1 1 female 19.0 1 0 91.0792 C First woman False B Cherbourg yes False
294 0 2 male 36.0 0 0 12.875 C Second man True D Cherbourg no True
295 0 3 female 24.0 0 0 8.85 S Third woman False Southampton no True
296 0 3 male 24.0 0 0 7.8958 S Third man True Southampton no True
297 0 1 male 0 0 27.7208 C First man True Cherbourg no True
298 0 3 male 23.5 0 0 7.2292 C Third man True Cherbourg no True
299 0 1 female 2.0 1 2 151.55 S First child False C Southampton no False
300 1 1 male 0 0 30.5 S First man True C Southampton yes True
301 1 1 female 50.0 0 1 247.5208 C First woman False B Cherbourg yes False
302 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
303 1 3 male 2 0 23.25 Q Third man True Queenstown yes False
304 0 3 male 19.0 0 0 0.0 S Third man True Southampton no True
305 1 2 female 0 0 12.35 Q Second woman False E Queenstown yes True
306 0 3 male 0 0 8.05 S Third man True Southampton no True
307 1 1 male 0.92 1 2 151.55 S First child False C Southampton yes False
308 1 1 female 0 0 110.8833 C First woman False Cherbourg yes True
309 1 1 female 17.0 1 0 108.9 C First woman False C Cherbourg yes False
310 0 2 male 30.0 1 0 24.0 C Second man True Cherbourg no False
311 1 1 female 30.0 0 0 56.9292 C First woman False E Cherbourg yes True
312 1 1 female 24.0 0 0 83.1583 C First woman False C Cherbourg yes True
313 1 1 female 18.0 2 2 262.375 C First woman False B Cherbourg yes False
314 0 2 female 26.0 1 1 26.0 S Second woman False Southampton no False
315 0 3 male 28.0 0 0 7.8958 S Third man True Southampton no True
316 0 2 male 43.0 1 1 26.25 S Second man True Southampton no False
317 1 3 female 26.0 0 0 7.8542 S Third woman False Southampton yes True
318 1 2 female 24.0 1 0 26.0 S Second woman False Southampton yes False
319 0 2 male 54.0 0 0 14.0 S Second man True Southampton no True
320 1 1 female 31.0 0 2 164.8667 S First woman False C Southampton yes False
321 1 1 female 40.0 1 1 134.5 C First woman False E Cherbourg yes False
322 0 3 male 22.0 0 0 7.25 S Third man True Southampton no True
323 0 3 male 27.0 0 0 7.8958 S Third man True Southampton no True
324 1 2 female 30.0 0 0 12.35 Q Second woman False Queenstown yes True
325 1 2 female 22.0 1 1 29.0 S Second woman False Southampton yes False
326 0 3 male 8 2 69.55 S Third man True Southampton no False
327 1 1 female 36.0 0 0 135.6333 C First woman False C Cherbourg yes True
328 0 3 male 61.0 0 0 6.2375 S Third man True Southampton no True
329 1 2 female 36.0 0 0 13.0 S Second woman False D Southampton yes True
330 1 3 female 31.0 1 1 20.525 S Third woman False Southampton yes False
331 1 1 female 16.0 0 1 57.9792 C First woman False B Cherbourg yes False
332 1 3 female 2 0 23.25 Q Third woman False Queenstown yes False
333 0 1 male 45.5 0 0 28.5 S First man True C Southampton no True
334 0 1 male 38.0 0 1 153.4625 S First man True C Southampton no False
335 0 3 male 16.0 2 0 18.0 S Third man True Southampton no False
336 1 1 female 1 0 133.65 S First woman False Southampton yes False
337 0 3 male 0 0 7.8958 S Third man True Southampton no True
338 0 1 male 29.0 1 0 66.6 S First man True C Southampton no False
339 1 1 female 41.0 0 0 134.5 C First woman False E Cherbourg yes True
340 1 3 male 45.0 0 0 8.05 S Third man True Southampton yes True
341 0 1 male 45.0 0 0 35.5 S First man True Southampton no True
342 1 2 male 2.0 1 1 26.0 S Second child False F Southampton yes False
343 1 1 female 24.0 3 2 263.0 S First woman False C Southampton yes False
344 0 2 male 28.0 0 0 13.0 S Second man True Southampton no True
345 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
346 0 2 male 36.0 0 0 13.0 S Second man True Southampton no True
347 1 2 female 24.0 0 0 13.0 S Second woman False F Southampton yes True
348 1 2 female 40.0 0 0 13.0 S Second woman False Southampton yes True
349 1 3 female 1 0 16.1 S Third woman False Southampton yes False
350 1 3 male 3.0 1 1 15.9 S Third child False Southampton yes False
351 0 3 male 42.0 0 0 8.6625 S Third man True Southampton no True
352 0 3 male 23.0 0 0 9.225 S Third man True Southampton no True
353 0 1 male 0 0 35.0 S First man True C Southampton no True
354 0 3 male 15.0 1 1 7.2292 C Third child False Cherbourg no False
355 0 3 male 25.0 1 0 17.8 S Third man True Southampton no False
356 0 3 male 0 0 7.225 C Third man True Cherbourg no True
357 0 3 male 28.0 0 0 9.5 S Third man True Southampton no True
358 1 1 female 22.0 0 1 55.0 S First woman False E Southampton yes False
359 0 2 female 38.0 0 0 13.0 S Second woman False Southampton no True
360 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
361 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
362 0 3 male 40.0 1 4 27.9 S Third man True Southampton no False
363 0 2 male 29.0 1 0 27.7208 C Second man True Cherbourg no False
364 0 3 female 45.0 0 1 14.4542 C Third woman False Cherbourg no False
365 0 3 male 35.0 0 0 7.05 S Third man True Southampton no True
366 0 3 male 1 0 15.5 Q Third man True Queenstown no False
367 0 3 male 30.0 0 0 7.25 S Third man True Southampton no True
368 1 1 female 60.0 1 0 75.25 C First woman False D Cherbourg yes False
369 1 3 female 0 0 7.2292 C Third woman False Cherbourg yes True
370 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
371 1 1 female 24.0 0 0 69.3 C First woman False B Cherbourg yes True
372 1 1 male 25.0 1 0 55.4417 C First man True E Cherbourg yes False
373 0 3 male 18.0 1 0 6.4958 S Third man True Southampton no False
374 0 3 male 19.0 0 0 8.05 S Third man True Southampton no True
375 0 1 male 22.0 0 0 135.6333 C First man True Cherbourg no True
376 0 3 female 3.0 3 1 21.075 S Third child False Southampton no False
377 1 1 female 1 0 82.1708 C First woman False Cherbourg yes False
378 1 3 female 22.0 0 0 7.25 S Third woman False Southampton yes True
379 0 1 male 27.0 0 2 211.5 C First man True C Cherbourg no False
380 0 3 male 20.0 0 0 4.0125 C Third man True Cherbourg no True
381 0 3 male 19.0 0 0 7.775 S Third man True Southampton no True
382 1 1 female 42.0 0 0 227.525 C First woman False Cherbourg yes True
383 1 3 female 1.0 0 2 15.7417 C Third child False Cherbourg yes False
384 0 3 male 32.0 0 0 7.925 S Third man True Southampton no True
385 1 1 female 35.0 1 0 52.0 S First woman False Southampton yes False
386 0 3 male 0 0 7.8958 S Third man True Southampton no True
387 0 2 male 18.0 0 0 73.5 S Second man True Southampton no True
388 0 3 male 1.0 5 2 46.9 S Third child False Southampton no False
389 1 2 female 36.0 0 0 13.0 S Second woman False Southampton yes True
390 0 3 male 0 0 7.7292 Q Third man True Queenstown no True
391 1 2 female 17.0 0 0 12.0 C Second woman False Cherbourg yes True
392 1 1 male 36.0 1 2 120.0 S First man True B Southampton yes False
393 1 3 male 21.0 0 0 7.7958 S Third man True Southampton yes True
394 0 3 male 28.0 2 0 7.925 S Third man True Southampton no False
395 1 1 female 23.0 1 0 113.275 C First woman False D Cherbourg yes False
396 1 3 female 24.0 0 2 16.7 S Third woman False G Southampton yes False
397 0 3 male 22.0 0 0 7.7958 S Third man True Southampton no True
398 0 3 female 31.0 0 0 7.8542 S Third woman False Southampton no True
399 0 2 male 46.0 0 0 26.0 S Second man True Southampton no True
400 0 2 male 23.0 0 0 10.5 S Second man True Southampton no True
401 1 2 female 28.0 0 0 12.65 S Second woman False Southampton yes True
402 1 3 male 39.0 0 0 7.925 S Third man True Southampton yes True
403 0 3 male 26.0 0 0 8.05 S Third man True Southampton no True
404 0 3 female 21.0 1 0 9.825 S Third woman False Southampton no False
405 0 3 male 28.0 1 0 15.85 S Third man True Southampton no False
406 0 3 female 20.0 0 0 8.6625 S Third woman False Southampton no True
407 0 2 male 34.0 1 0 21.0 S Second man True Southampton no False
408 0 3 male 51.0 0 0 7.75 S Third man True Southampton no True
409 1 2 male 3.0 1 1 18.75 S Second child False Southampton yes False
410 0 3 male 21.0 0 0 7.775 S Third man True Southampton no True
411 0 3 female 3 1 25.4667 S Third woman False Southampton no False
412 0 3 male 0 0 7.8958 S Third man True Southampton no True
413 0 3 male 0 0 6.8583 Q Third man True Queenstown no True
414 1 1 female 33.0 1 0 90.0 Q First woman False C Queenstown yes False
415 0 2 male 0 0 0.0 S Second man True Southampton no True
416 1 3 male 44.0 0 0 7.925 S Third man True Southampton yes True
417 0 3 female 0 0 8.05 S Third woman False Southampton no True
418 1 2 female 34.0 1 1 32.5 S Second woman False Southampton yes False
419 1 2 female 18.0 0 2 13.0 S Second woman False Southampton yes False
420 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
421 0 3 female 10.0 0 2 24.15 S Third child False Southampton no False
422 0 3 male 0 0 7.8958 C Third man True Cherbourg no True
423 0 3 male 21.0 0 0 7.7333 Q Third man True Queenstown no True
424 0 3 male 29.0 0 0 7.875 S Third man True Southampton no True
425 0 3 female 28.0 1 1 14.4 S Third woman False Southampton no False
426 0 3 male 18.0 1 1 20.2125 S Third man True Southampton no False
427 0 3 male 0 0 7.25 S Third man True Southampton no True
428 1 2 female 28.0 1 0 26.0 S Second woman False Southampton yes False
429 1 2 female 19.0 0 0 26.0 S Second woman False Southampton yes True
430 0 3 male 0 0 7.75 Q Third man True Queenstown no True
431 1 3 male 32.0 0 0 8.05 S Third man True E Southampton yes True
432 1 1 male 28.0 0 0 26.55 S First man True C Southampton yes True
433 1 3 female 1 0 16.1 S Third woman False Southampton yes False
434 1 2 female 42.0 1 0 26.0 S Second woman False Southampton yes False
435 0 3 male 17.0 0 0 7.125 S Third man True Southampton no True
436 0 1 male 50.0 1 0 55.9 S First man True E Southampton no False
437 1 1 female 14.0 1 2 120.0 S First child False B Southampton yes False
438 0 3 female 21.0 2 2 34.375 S Third woman False Southampton no False
439 1 2 female 24.0 2 3 18.75 S Second woman False Southampton yes False
440 0 1 male 64.0 1 4 263.0 S First man True C Southampton no False
441 0 2 male 31.0 0 0 10.5 S Second man True Southampton no True
442 1 2 female 45.0 1 1 26.25 S Second woman False Southampton yes False
443 0 3 male 20.0 0 0 9.5 S Third man True Southampton no True
444 0 3 male 25.0 1 0 7.775 S Third man True Southampton no False
445 1 2 female 28.0 0 0 13.0 S Second woman False Southampton yes True
446 1 3 male 0 0 8.1125 S Third man True Southampton yes True
447 1 1 male 4.0 0 2 81.8583 S First child False A Southampton yes False
448 1 2 female 13.0 0 1 19.5 S Second child False Southampton yes False
449 1 1 male 34.0 0 0 26.55 S First man True Southampton yes True
450 1 3 female 5.0 2 1 19.2583 C Third child False Cherbourg yes False
451 1 1 male 52.0 0 0 30.5 S First man True C Southampton yes True
452 0 2 male 36.0 1 2 27.75 S Second man True Southampton no False
453 0 3 male 1 0 19.9667 S Third man True Southampton no False
454 0 1 male 30.0 0 0 27.75 C First man True C Cherbourg no True
455 1 1 male 49.0 1 0 89.1042 C First man True C Cherbourg yes False
456 0 3 male 0 0 8.05 S Third man True Southampton no True
457 1 3 male 29.0 0 0 7.8958 C Third man True Cherbourg yes True
458 0 1 male 65.0 0 0 26.55 S First man True E Southampton no True
459 1 1 female 1 0 51.8625 S First woman False D Southampton yes False
460 1 2 female 50.0 0 0 10.5 S Second woman False Southampton yes True
461 0 3 male 0 0 7.75 Q Third man True Queenstown no True
462 1 1 male 48.0 0 0 26.55 S First man True E Southampton yes True
463 0 3 male 34.0 0 0 8.05 S Third man True Southampton no True
464 0 1 male 47.0 0 0 38.5 S First man True E Southampton no True
465 0 2 male 48.0 0 0 13.0 S Second man True Southampton no True
466 0 3 male 0 0 8.05 S Third man True Southampton no True
467 0 3 male 38.0 0 0 7.05 S Third man True Southampton no True
468 0 2 male 0 0 0.0 S Second man True Southampton no True
469 0 1 male 56.0 0 0 26.55 S First man True Southampton no True
470 0 3 male 0 0 7.725 Q Third man True Queenstown no True
471 1 3 female 0.75 2 1 19.2583 C Third child False Cherbourg yes False
472 0 3 male 0 0 7.25 S Third man True Southampton no True
473 0 3 male 38.0 0 0 8.6625 S Third man True Southampton no True
474 1 2 female 33.0 1 2 27.75 S Second woman False Southampton yes False
475 1 2 female 23.0 0 0 13.7917 C Second woman False D Cherbourg yes True
476 0 3 female 22.0 0 0 9.8375 S Third woman False Southampton no True
477 0 1 male 0 0 52.0 S First man True A Southampton no True
478 0 2 male 34.0 1 0 21.0 S Second man True Southampton no False
479 0 3 male 29.0 1 0 7.0458 S Third man True Southampton no False
480 0 3 male 22.0 0 0 7.5208 S Third man True Southampton no True
481 1 3 female 2.0 0 1 12.2875 S Third child False Southampton yes False
482 0 3 male 9.0 5 2 46.9 S Third child False Southampton no False
483 0 2 male 0 0 0.0 S Second man True Southampton no True
484 0 3 male 50.0 0 0 8.05 S Third man True Southampton no True
485 1 3 female 63.0 0 0 9.5875 S Third woman False Southampton yes True
486 1 1 male 25.0 1 0 91.0792 C First man True B Cherbourg yes False
487 0 3 female 3 1 25.4667 S Third woman False Southampton no False
488 1 1 female 35.0 1 0 90.0 S First woman False C Southampton yes False
489 0 1 male 58.0 0 0 29.7 C First man True B Cherbourg no True
490 0 3 male 30.0 0 0 8.05 S Third man True Southampton no True
491 1 3 male 9.0 1 1 15.9 S Third child False Southampton yes False
492 0 3 male 1 0 19.9667 S Third man True Southampton no False
493 0 3 male 21.0 0 0 7.25 S Third man True Southampton no True
494 0 1 male 55.0 0 0 30.5 S First man True C Southampton no True
495 0 1 male 71.0 0 0 49.5042 C First man True Cherbourg no True
496 0 3 male 21.0 0 0 8.05 S Third man True Southampton no True
497 0 3 male 0 0 14.4583 C Third man True Cherbourg no True
498 1 1 female 54.0 1 0 78.2667 C First woman False D Cherbourg yes False
499 0 3 male 0 0 15.1 S Third man True Southampton no True
500 0 1 female 25.0 1 2 151.55 S First woman False C Southampton no False
501 0 3 male 24.0 0 0 7.7958 S Third man True Southampton no True
502 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
503 0 3 female 21.0 0 0 7.75 Q Third woman False Queenstown no True
504 0 3 female 0 0 7.6292 Q Third woman False Queenstown no True
505 0 3 female 37.0 0 0 9.5875 S Third woman False Southampton no True
506 1 1 female 16.0 0 0 86.5 S First woman False B Southampton yes True
507 0 1 male 18.0 1 0 108.9 C First man True C Cherbourg no False
508 1 2 female 33.0 0 2 26.0 S Second woman False Southampton yes False
509 1 1 male 0 0 26.55 S First man True Southampton yes True
510 0 3 male 28.0 0 0 22.525 S Third man True Southampton no True
511 1 3 male 26.0 0 0 56.4958 S Third man True Southampton yes True
512 1 3 male 29.0 0 0 7.75 Q Third man True Queenstown yes True
513 0 3 male 0 0 8.05 S Third man True Southampton no True
514 1 1 male 36.0 0 0 26.2875 S First man True E Southampton yes True
515 1 1 female 54.0 1 0 59.4 C First woman False Cherbourg yes False
516 0 3 male 24.0 0 0 7.4958 S Third man True Southampton no True
517 0 1 male 47.0 0 0 34.0208 S First man True D Southampton no True
518 1 2 female 34.0 0 0 10.5 S Second woman False F Southampton yes True
519 0 3 male 0 0 24.15 Q Third man True Queenstown no True
520 1 2 female 36.0 1 0 26.0 S Second woman False Southampton yes False
521 0 3 male 32.0 0 0 7.8958 S Third man True Southampton no True
522 1 1 female 30.0 0 0 93.5 S First woman False B Southampton yes True
523 0 3 male 22.0 0 0 7.8958 S Third man True Southampton no True
524 0 3 male 0 0 7.225 C Third man True Cherbourg no True
525 1 1 female 44.0 0 1 57.9792 C First woman False B Cherbourg yes False
526 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
527 0 3 male 40.5 0 0 7.75 Q Third man True Queenstown no True
528 1 2 female 50.0 0 0 10.5 S Second woman False Southampton yes True
529 0 1 male 0 0 221.7792 S First man True C Southampton no True
530 0 3 male 39.0 0 0 7.925 S Third man True Southampton no True
531 0 2 male 23.0 2 1 11.5 S Second man True Southampton no False
532 1 2 female 2.0 1 1 26.0 S Second child False Southampton yes False
533 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
534 0 3 male 17.0 1 1 7.2292 C Third man True Cherbourg no False
535 1 3 female 0 2 22.3583 C Third woman False Cherbourg yes False
536 0 3 female 30.0 0 0 8.6625 S Third woman False Southampton no True
537 1 2 female 7.0 0 2 26.25 S Second child False Southampton yes False
538 0 1 male 45.0 0 0 26.55 S First man True B Southampton no True
539 1 1 female 30.0 0 0 106.425 C First woman False Cherbourg yes True
540 0 3 male 0 0 14.5 S Third man True Southampton no True
541 1 1 female 22.0 0 2 49.5 C First woman False B Cherbourg yes False
542 1 1 female 36.0 0 2 71.0 S First woman False B Southampton yes False
543 0 3 female 9.0 4 2 31.275 S Third child False Southampton no False
544 0 3 female 11.0 4 2 31.275 S Third child False Southampton no False
545 1 2 male 32.0 1 0 26.0 S Second man True Southampton yes False
546 0 1 male 50.0 1 0 106.425 C First man True C Cherbourg no False
547 0 1 male 64.0 0 0 26.0 S First man True Southampton no True
548 1 2 female 19.0 1 0 26.0 S Second woman False Southampton yes False
549 1 2 male 0 0 13.8625 C Second man True Cherbourg yes True
550 0 3 male 33.0 1 1 20.525 S Third man True Southampton no False
551 1 2 male 8.0 1 1 36.75 S Second child False Southampton yes False
552 1 1 male 17.0 0 2 110.8833 C First man True C Cherbourg yes False
553 0 2 male 27.0 0 0 26.0 S Second man True Southampton no True
554 0 3 male 0 0 7.8292 Q Third man True Queenstown no True
555 1 3 male 22.0 0 0 7.225 C Third man True Cherbourg yes True
556 1 3 female 22.0 0 0 7.775 S Third woman False Southampton yes True
557 0 1 male 62.0 0 0 26.55 S First man True Southampton no True
558 1 1 female 48.0 1 0 39.6 C First woman False A Cherbourg yes False
559 0 1 male 0 0 227.525 C First man True Cherbourg no True
560 1 1 female 39.0 1 1 79.65 S First woman False E Southampton yes False
561 1 3 female 36.0 1 0 17.4 S Third woman False Southampton yes False
562 0 3 male 0 0 7.75 Q Third man True Queenstown no True
563 0 3 male 40.0 0 0 7.8958 S Third man True Southampton no True
564 0 2 male 28.0 0 0 13.5 S Second man True Southampton no True
565 0 3 male 0 0 8.05 S Third man True Southampton no True
566 0 3 female 0 0 8.05 S Third woman False Southampton no True
567 0 3 male 24.0 2 0 24.15 S Third man True Southampton no False
568 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
569 0 3 female 29.0 0 4 21.075 S Third woman False Southampton no False
570 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
571 1 3 male 32.0 0 0 7.8542 S Third man True Southampton yes True
572 1 2 male 62.0 0 0 10.5 S Second man True Southampton yes True
573 1 1 female 53.0 2 0 51.4792 S First woman False C Southampton yes False
574 1 1 male 36.0 0 0 26.3875 S First man True E Southampton yes True
575 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
576 0 3 male 16.0 0 0 8.05 S Third man True Southampton no True
577 0 3 male 19.0 0 0 14.5 S Third man True Southampton no True
578 1 2 female 34.0 0 0 13.0 S Second woman False Southampton yes True
579 1 1 female 39.0 1 0 55.9 S First woman False E Southampton yes False
580 0 3 female 1 0 14.4583 C Third woman False Cherbourg no False
581 1 3 male 32.0 0 0 7.925 S Third man True Southampton yes True
582 1 2 female 25.0 1 1 30.0 S Second woman False Southampton yes False
583 1 1 female 39.0 1 1 110.8833 C First woman False C Cherbourg yes False
584 0 2 male 54.0 0 0 26.0 S Second man True Southampton no True
585 0 1 male 36.0 0 0 40.125 C First man True A Cherbourg no True
586 0 3 male 0 0 8.7125 C Third man True Cherbourg no True
587 1 1 female 18.0 0 2 79.65 S First woman False E Southampton yes False
588 0 2 male 47.0 0 0 15.0 S Second man True Southampton no True
589 1 1 male 60.0 1 1 79.2 C First man True B Cherbourg yes False
590 0 3 male 22.0 0 0 8.05 S Third man True Southampton no True
591 0 3 male 0 0 8.05 S Third man True Southampton no True
592 0 3 male 35.0 0 0 7.125 S Third man True Southampton no True
593 1 1 female 52.0 1 0 78.2667 C First woman False D Cherbourg yes False
594 0 3 male 47.0 0 0 7.25 S Third man True Southampton no True
595 0 3 female 0 2 7.75 Q Third woman False Queenstown no False
596 0 2 male 37.0 1 0 26.0 S Second man True Southampton no False
597 0 3 male 36.0 1 1 24.15 S Third man True Southampton no False
598 1 2 female 0 0 33.0 S Second woman False Southampton yes True
599 0 3 male 49.0 0 0 0.0 S Third man True Southampton no True
600 0 3 male 0 0 7.225 C Third man True Cherbourg no True
601 1 1 male 49.0 1 0 56.9292 C First man True A Cherbourg yes False
602 1 2 female 24.0 2 1 27.0 S Second woman False Southampton yes False
603 0 3 male 0 0 7.8958 S Third man True Southampton no True
604 0 1 male 0 0 42.4 S First man True Southampton no True
605 0 3 male 44.0 0 0 8.05 S Third man True Southampton no True
606 1 1 male 35.0 0 0 26.55 C First man True Cherbourg yes True
607 0 3 male 36.0 1 0 15.55 S Third man True Southampton no False
608 0 3 male 30.0 0 0 7.8958 S Third man True Southampton no True
609 1 1 male 27.0 0 0 30.5 S First man True Southampton yes True
610 1 2 female 22.0 1 2 41.5792 C Second woman False Cherbourg yes False
611 1 1 female 40.0 0 0 153.4625 S First woman False C Southampton yes True
612 0 3 female 39.0 1 5 31.275 S Third woman False Southampton no False
613 0 3 male 0 0 7.05 S Third man True Southampton no True
614 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
615 0 3 male 0 0 7.75 Q Third man True Queenstown no True
616 0 3 male 35.0 0 0 8.05 S Third man True Southampton no True
617 1 2 female 24.0 1 2 65.0 S Second woman False Southampton yes False
618 0 3 male 34.0 1 1 14.4 S Third man True Southampton no False
619 0 3 female 26.0 1 0 16.1 S Third woman False Southampton no False
620 1 2 female 4.0 2 1 39.0 S Second child False F Southampton yes False
621 0 2 male 26.0 0 0 10.5 S Second man True Southampton no True
622 0 3 male 27.0 1 0 14.4542 C Third man True Cherbourg no False
623 1 1 male 42.0 1 0 52.5542 S First man True D Southampton yes False
624 1 3 male 20.0 1 1 15.7417 C Third man True Cherbourg yes False
625 0 3 male 21.0 0 0 7.8542 S Third man True Southampton no True
626 0 3 male 21.0 0 0 16.1 S Third man True Southampton no True
627 0 1 male 61.0 0 0 32.3208 S First man True D Southampton no True
628 0 2 male 57.0 0 0 12.35 Q Second man True Queenstown no True
629 1 1 female 21.0 0 0 77.9583 S First woman False D Southampton yes True
630 0 3 male 26.0 0 0 7.8958 S Third man True Southampton no True
631 0 3 male 0 0 7.7333 Q Third man True Queenstown no True
632 1 1 male 80.0 0 0 30.0 S First man True A Southampton yes True
633 0 3 male 51.0 0 0 7.0542 S Third man True Southampton no True
634 1 1 male 32.0 0 0 30.5 C First man True B Cherbourg yes True
635 0 1 male 0 0 0.0 S First man True Southampton no True
636 0 3 female 9.0 3 2 27.9 S Third child False Southampton no False
637 1 2 female 28.0 0 0 13.0 S Second woman False Southampton yes True
638 0 3 male 32.0 0 0 7.925 S Third man True Southampton no True
639 0 2 male 31.0 1 1 26.25 S Second man True Southampton no False
640 0 3 female 41.0 0 5 39.6875 S Third woman False Southampton no False
641 0 3 male 1 0 16.1 S Third man True Southampton no False
642 0 3 male 20.0 0 0 7.8542 S Third man True Southampton no True
643 1 1 female 24.0 0 0 69.3 C First woman False B Cherbourg yes True
644 0 3 female 2.0 3 2 27.9 S Third child False Southampton no False
645 1 3 male 0 0 56.4958 S Third man True Southampton yes True
646 1 3 female 0.75 2 1 19.2583 C Third child False Cherbourg yes False
647 1 1 male 48.0 1 0 76.7292 C First man True D Cherbourg yes False
648 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
649 1 1 male 56.0 0 0 35.5 C First man True A Cherbourg yes True
650 0 3 male 0 0 7.55 S Third man True Southampton no True
651 1 3 female 23.0 0 0 7.55 S Third woman False Southampton yes True
652 0 3 male 0 0 7.8958 S Third man True Southampton no True
653 1 2 female 18.0 0 1 23.0 S Second woman False Southampton yes False
654 0 3 male 21.0 0 0 8.4333 S Third man True Southampton no True
655 1 3 female 0 0 7.8292 Q Third woman False Queenstown yes True
656 0 3 female 18.0 0 0 6.75 Q Third woman False Queenstown no True
657 0 2 male 24.0 2 0 73.5 S Second man True Southampton no False
658 0 3 male 0 0 7.8958 S Third man True Southampton no True
659 0 3 female 32.0 1 1 15.5 Q Third woman False Queenstown no False
660 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
661 0 1 male 58.0 0 2 113.275 C First man True D Cherbourg no False
662 1 1 male 50.0 2 0 133.65 S First man True Southampton yes False
663 0 3 male 40.0 0 0 7.225 C Third man True Cherbourg no True
664 0 1 male 47.0 0 0 25.5875 S First man True E Southampton no True
665 0 3 male 36.0 0 0 7.4958 S Third man True Southampton no True
666 1 3 male 20.0 1 0 7.925 S Third man True Southampton yes False
667 0 2 male 32.0 2 0 73.5 S Second man True Southampton no False
668 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
669 0 3 male 0 0 7.775 S Third man True Southampton no True
670 0 3 male 43.0 0 0 8.05 S Third man True Southampton no True
671 1 1 female 1 0 52.0 S First woman False C Southampton yes False
672 1 2 female 40.0 1 1 39.0 S Second woman False Southampton yes False
673 0 1 male 31.0 1 0 52.0 S First man True B Southampton no False
674 0 2 male 70.0 0 0 10.5 S Second man True Southampton no True
675 1 2 male 31.0 0 0 13.0 S Second man True Southampton yes True
676 0 2 male 0 0 0.0 S Second man True Southampton no True
677 0 3 male 18.0 0 0 7.775 S Third man True Southampton no True
678 0 3 male 24.5 0 0 8.05 S Third man True Southampton no True
679 1 3 female 18.0 0 0 9.8417 S Third woman False Southampton yes True
680 0 3 female 43.0 1 6 46.9 S Third woman False Southampton no False
681 1 1 male 36.0 0 1 512.3292 C First man True B Cherbourg yes False
682 0 3 female 0 0 8.1375 Q Third woman False Queenstown no True
683 1 1 male 27.0 0 0 76.7292 C First man True D Cherbourg yes True
684 0 3 male 20.0 0 0 9.225 S Third man True Southampton no True
685 0 3 male 14.0 5 2 46.9 S Third child False Southampton no False
686 0 2 male 60.0 1 1 39.0 S Second man True Southampton no False
687 0 2 male 25.0 1 2 41.5792 C Second man True Cherbourg no False
688 0 3 male 14.0 4 1 39.6875 S Third child False Southampton no False
689 0 3 male 19.0 0 0 10.1708 S Third man True Southampton no True
690 0 3 male 18.0 0 0 7.7958 S Third man True Southampton no True
691 1 1 female 15.0 0 1 211.3375 S First child False B Southampton yes False
692 1 1 male 31.0 1 0 57.0 S First man True B Southampton yes False
693 1 3 female 4.0 0 1 13.4167 C Third child False Cherbourg yes False
694 1 3 male 0 0 56.4958 S Third man True Southampton yes True
695 0 3 male 25.0 0 0 7.225 C Third man True Cherbourg no True
696 0 1 male 60.0 0 0 26.55 S First man True Southampton no True
697 0 2 male 52.0 0 0 13.5 S Second man True Southampton no True
698 0 3 male 44.0 0 0 8.05 S Third man True Southampton no True
699 1 3 female 0 0 7.7333 Q Third woman False Queenstown yes True
700 0 1 male 49.0 1 1 110.8833 C First man True C Cherbourg no False
701 0 3 male 42.0 0 0 7.65 S Third man True F Southampton no True
702 1 1 female 18.0 1 0 227.525 C First woman False C Cherbourg yes False
703 1 1 male 35.0 0 0 26.2875 S First man True E Southampton yes True
704 0 3 female 18.0 0 1 14.4542 C Third woman False Cherbourg no False
705 0 3 male 25.0 0 0 7.7417 Q Third man True Queenstown no True
706 0 3 male 26.0 1 0 7.8542 S Third man True Southampton no False
707 0 2 male 39.0 0 0 26.0 S Second man True Southampton no True
708 1 2 female 45.0 0 0 13.5 S Second woman False Southampton yes True
709 1 1 male 42.0 0 0 26.2875 S First man True E Southampton yes True
710 1 1 female 22.0 0 0 151.55 S First woman False Southampton yes True
711 1 3 male 1 1 15.2458 C Third man True Cherbourg yes False
712 1 1 female 24.0 0 0 49.5042 C First woman False C Cherbourg yes True
713 0 1 male 0 0 26.55 S First man True C Southampton no True
714 1 1 male 48.0 1 0 52.0 S First man True C Southampton yes False
715 0 3 male 29.0 0 0 9.4833 S Third man True Southampton no True
716 0 2 male 52.0 0 0 13.0 S Second man True Southampton no True
717 0 3 male 19.0 0 0 7.65 S Third man True F Southampton no True
718 1 1 female 38.0 0 0 227.525 C First woman False C Cherbourg yes True
719 1 2 female 27.0 0 0 10.5 S Second woman False E Southampton yes True
720 0 3 male 0 0 15.5 Q Third man True Queenstown no True
721 0 3 male 33.0 0 0 7.775 S Third man True Southampton no True
722 1 2 female 6.0 0 1 33.0 S Second child False Southampton yes False
723 0 3 male 17.0 1 0 7.0542 S Third man True Southampton no False
724 0 2 male 34.0 0 0 13.0 S Second man True Southampton no True
725 0 2 male 50.0 0 0 13.0 S Second man True Southampton no True
726 1 1 male 27.0 1 0 53.1 S First man True E Southampton yes False
727 0 3 male 20.0 0 0 8.6625 S Third man True Southampton no True
728 1 2 female 30.0 3 0 21.0 S Second woman False Southampton yes False
729 1 3 female 0 0 7.7375 Q Third woman False Queenstown yes True
730 0 2 male 25.0 1 0 26.0 S Second man True Southampton no False
731 0 3 female 25.0 1 0 7.925 S Third woman False Southampton no False
732 1 1 female 29.0 0 0 211.3375 S First woman False B Southampton yes True
733 0 3 male 11.0 0 0 18.7875 C Third child False Cherbourg no True
734 0 2 male 0 0 0.0 S Second man True Southampton no True
735 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
736 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
737 0 3 male 28.5 0 0 16.1 S Third man True Southampton no True
738 0 3 female 48.0 1 3 34.375 S Third woman False Southampton no False
739 1 1 male 35.0 0 0 512.3292 C First man True B Cherbourg yes True
740 0 3 male 0 0 7.8958 S Third man True Southampton no True
741 0 3 male 0 0 7.8958 S Third man True Southampton no True
742 1 1 male 0 0 30.0 S First man True D Southampton yes True
743 0 1 male 36.0 1 0 78.85 S First man True C Southampton no False
744 1 1 female 21.0 2 2 262.375 C First woman False B Cherbourg yes False
745 0 3 male 24.0 1 0 16.1 S Third man True Southampton no False
746 1 3 male 31.0 0 0 7.925 S Third man True Southampton yes True
747 0 1 male 70.0 1 1 71.0 S First man True B Southampton no False
748 0 3 male 16.0 1 1 20.25 S Third man True Southampton no False
749 1 2 female 30.0 0 0 13.0 S Second woman False Southampton yes True
750 0 1 male 19.0 1 0 53.1 S First man True D Southampton no False
751 0 3 male 31.0 0 0 7.75 Q Third man True Queenstown no True
752 1 2 female 4.0 1 1 23.0 S Second child False Southampton yes False
753 1 3 male 6.0 0 1 12.475 S Third child False E Southampton yes False
754 0 3 male 33.0 0 0 9.5 S Third man True Southampton no True
755 0 3 male 23.0 0 0 7.8958 S Third man True Southampton no True
756 1 2 female 48.0 1 2 65.0 S Second woman False Southampton yes False
757 1 2 male 0.67 1 1 14.5 S Second child False Southampton yes False
758 0 3 male 28.0 0 0 7.7958 S Third man True Southampton no True
759 0 2 male 18.0 0 0 11.5 S Second man True Southampton no True
760 0 3 male 34.0 0 0 8.05 S Third man True Southampton no True
761 1 1 female 33.0 0 0 86.5 S First woman False B Southampton yes True
762 0 3 male 0 0 14.5 S Third man True Southampton no True
763 0 3 male 41.0 0 0 7.125 S Third man True Southampton no True
764 1 3 male 20.0 0 0 7.2292 C Third man True Cherbourg yes True
765 1 1 female 36.0 1 2 120.0 S First woman False B Southampton yes False
766 0 3 male 16.0 0 0 7.775 S Third man True Southampton no True
767 1 1 female 51.0 1 0 77.9583 S First woman False D Southampton yes False
768 0 1 male 0 0 39.6 C First man True Cherbourg no True
769 0 3 female 30.5 0 0 7.75 Q Third woman False Queenstown no True
770 0 3 male 1 0 24.15 Q Third man True Queenstown no False
771 0 3 male 32.0 0 0 8.3625 S Third man True Southampton no True
772 0 3 male 24.0 0 0 9.5 S Third man True Southampton no True
773 0 3 male 48.0 0 0 7.8542 S Third man True Southampton no True
774 0 2 female 57.0 0 0 10.5 S Second woman False E Southampton no True
775 0 3 male 0 0 7.225 C Third man True Cherbourg no True
776 1 2 female 54.0 1 3 23.0 S Second woman False Southampton yes False
777 0 3 male 18.0 0 0 7.75 S Third man True Southampton no True
778 0 3 male 0 0 7.75 Q Third man True F Queenstown no True
779 1 3 female 5.0 0 0 12.475 S Third child False Southampton yes True
780 0 3 male 0 0 7.7375 Q Third man True Queenstown no True
781 1 1 female 43.0 0 1 211.3375 S First woman False B Southampton yes False
782 1 3 female 13.0 0 0 7.2292 C Third child False Cherbourg yes True
783 1 1 female 17.0 1 0 57.0 S First woman False B Southampton yes False
784 0 1 male 29.0 0 0 30.0 S First man True D Southampton no True
785 0 3 male 1 2 23.45 S Third man True Southampton no False
786 0 3 male 25.0 0 0 7.05 S Third man True Southampton no True
787 0 3 male 25.0 0 0 7.25 S Third man True Southampton no True
788 1 3 female 18.0 0 0 7.4958 S Third woman False Southampton yes True
789 0 3 male 8.0 4 1 29.125 Q Third child False Queenstown no False
790 1 3 male 1.0 1 2 20.575 S Third child False Southampton yes False
791 0 1 male 46.0 0 0 79.2 C First man True B Cherbourg no True
792 0 3 male 0 0 7.75 Q Third man True Queenstown no True
793 0 2 male 16.0 0 0 26.0 S Second man True Southampton no True
794 0 3 female 8 2 69.55 S Third woman False Southampton no False
795 0 1 male 0 0 30.6958 C First man True Cherbourg no True
796 0 3 male 25.0 0 0 7.8958 S Third man True Southampton no True
797 0 2 male 39.0 0 0 13.0 S Second man True Southampton no True
798 1 1 female 49.0 0 0 25.9292 S First woman False D Southampton yes True
799 1 3 female 31.0 0 0 8.6833 S Third woman False Southampton yes True
800 0 3 male 30.0 0 0 7.2292 C Third man True Cherbourg no True
801 0 3 female 30.0 1 1 24.15 S Third woman False Southampton no False
802 0 2 male 34.0 0 0 13.0 S Second man True Southampton no True
803 1 2 female 31.0 1 1 26.25 S Second woman False Southampton yes False
804 1 1 male 11.0 1 2 120.0 S First child False B Southampton yes False
805 1 3 male 0.42 0 1 8.5167 C Third child False Cherbourg yes False
806 1 3 male 27.0 0 0 6.975 S Third man True Southampton yes True
807 0 3 male 31.0 0 0 7.775 S Third man True Southampton no True
808 0 1 male 39.0 0 0 0.0 S First man True A Southampton no True
809 0 3 female 18.0 0 0 7.775 S Third woman False Southampton no True
810 0 2 male 39.0 0 0 13.0 S Second man True Southampton no True
811 1 1 female 33.0 1 0 53.1 S First woman False E Southampton yes False
812 0 3 male 26.0 0 0 7.8875 S Third man True Southampton no True
813 0 3 male 39.0 0 0 24.15 S Third man True Southampton no True
814 0 2 male 35.0 0 0 10.5 S Second man True Southampton no True
815 0 3 female 6.0 4 2 31.275 S Third child False Southampton no False
816 0 3 male 30.5 0 0 8.05 S Third man True Southampton no True
817 0 1 male 0 0 0.0 S First man True B Southampton no True
818 0 3 female 23.0 0 0 7.925 S Third woman False Southampton no True
819 0 2 male 31.0 1 1 37.0042 C Second man True Cherbourg no False
820 0 3 male 43.0 0 0 6.45 S Third man True Southampton no True
821 0 3 male 10.0 3 2 27.9 S Third child False Southampton no False
822 1 1 female 52.0 1 1 93.5 S First woman False B Southampton yes False
823 1 3 male 27.0 0 0 8.6625 S Third man True Southampton yes True
824 0 1 male 38.0 0 0 0.0 S First man True Southampton no True
825 1 3 female 27.0 0 1 12.475 S Third woman False E Southampton yes False
826 0 3 male 2.0 4 1 39.6875 S Third child False Southampton no False
827 0 3 male 0 0 6.95 Q Third man True Queenstown no True
828 0 3 male 0 0 56.4958 S Third man True Southampton no True
829 1 2 male 1.0 0 2 37.0042 C Second child False Cherbourg yes False
830 1 3 male 0 0 7.75 Q Third man True Queenstown yes True
831 1 1 female 62.0 0 0 80.0 First woman False B yes True
832 1 3 female 15.0 1 0 14.4542 C Third child False Cherbourg yes False
833 1 2 male 0.83 1 1 18.75 S Second child False Southampton yes False
834 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
835 0 3 male 23.0 0 0 7.8542 S Third man True Southampton no True
836 0 3 male 18.0 0 0 8.3 S Third man True Southampton no True
837 1 1 female 39.0 1 1 83.1583 C First woman False E Cherbourg yes False
838 0 3 male 21.0 0 0 8.6625 S Third man True Southampton no True
839 0 3 male 0 0 8.05 S Third man True Southampton no True
840 1 3 male 32.0 0 0 56.4958 S Third man True Southampton yes True
841 1 1 male 0 0 29.7 C First man True C Cherbourg yes True
842 0 3 male 20.0 0 0 7.925 S Third man True Southampton no True
843 0 2 male 16.0 0 0 10.5 S Second man True Southampton no True
844 1 1 female 30.0 0 0 31.0 C First woman False Cherbourg yes True
845 0 3 male 34.5 0 0 6.4375 C Third man True Cherbourg no True
846 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
847 0 3 male 42.0 0 0 7.55 S Third man True Southampton no True
848 0 3 male 8 2 69.55 S Third man True Southampton no False
849 0 3 male 35.0 0 0 7.8958 C Third man True Cherbourg no True
850 0 2 male 28.0 0 1 33.0 S Second man True Southampton no False
851 1 1 female 1 0 89.1042 C First woman False C Cherbourg yes False
852 0 3 male 4.0 4 2 31.275 S Third child False Southampton no False
853 0 3 male 74.0 0 0 7.775 S Third man True Southampton no True
854 0 3 female 9.0 1 1 15.2458 C Third child False Cherbourg no False
855 1 1 female 16.0 0 1 39.4 S First woman False D Southampton yes False
856 0 2 female 44.0 1 0 26.0 S Second woman False Southampton no False
857 1 3 female 18.0 0 1 9.35 S Third woman False Southampton yes False
858 1 1 female 45.0 1 1 164.8667 S First woman False Southampton yes False
859 1 1 male 51.0 0 0 26.55 S First man True E Southampton yes True
860 1 3 female 24.0 0 3 19.2583 C Third woman False Cherbourg yes False
861 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
862 0 3 male 41.0 2 0 14.1083 S Third man True Southampton no False
863 0 2 male 21.0 1 0 11.5 S Second man True Southampton no False
864 1 1 female 48.0 0 0 25.9292 S First woman False D Southampton yes True
865 0 3 female 8 2 69.55 S Third woman False Southampton no False
866 0 2 male 24.0 0 0 13.0 S Second man True Southampton no True
867 1 2 female 42.0 0 0 13.0 S Second woman False Southampton yes True
868 1 2 female 27.0 1 0 13.8583 C Second woman False Cherbourg yes False
869 0 1 male 31.0 0 0 50.4958 S First man True A Southampton no True
870 0 3 male 0 0 9.5 S Third man True Southampton no True
871 1 3 male 4.0 1 1 11.1333 S Third child False Southampton yes False
872 0 3 male 26.0 0 0 7.8958 S Third man True Southampton no True
873 1 1 female 47.0 1 1 52.5542 S First woman False D Southampton yes False
874 0 1 male 33.0 0 0 5.0 S First man True B Southampton no True
875 0 3 male 47.0 0 0 9.0 S Third man True Southampton no True
876 1 2 female 28.0 1 0 24.0 C Second woman False Cherbourg yes False
877 1 3 female 15.0 0 0 7.225 C Third child False Cherbourg yes True
878 0 3 male 20.0 0 0 9.8458 S Third man True Southampton no True
879 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
880 0 3 male 0 0 7.8958 S Third man True Southampton no True
881 1 1 female 56.0 0 1 83.1583 C First woman False C Cherbourg yes False
882 1 2 female 25.0 0 1 26.0 S Second woman False Southampton yes False
883 0 3 male 33.0 0 0 7.8958 S Third man True Southampton no True
884 0 3 female 22.0 0 0 10.5167 S Third woman False Southampton no True
885 0 2 male 28.0 0 0 10.5 S Second man True Southampton no True
886 0 3 male 25.0 0 0 7.05 S Third man True Southampton no True
887 0 3 female 39.0 0 5 29.125 Q Third woman False Queenstown no False
888 0 2 male 27.0 0 0 13.0 S Second man True Southampton no True
889 1 1 female 19.0 0 0 30.0 S First woman False B Southampton yes True
890 0 3 female 1 2 23.45 S Third woman False Southampton no False
891 1 1 male 26.0 0 0 30.0 C First man True C Cherbourg yes True
892 0 3 male 32.0 0 0 7.75 Q Third man True Queenstown no True

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https://mp.weixin.qq.com/s/W9YJClI_6sJWuD1L6efDxQ

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实力学习pygwalker/1.py Normal file
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import pandas as pd
# 假设这个库和函数存在，用于处理DataFrame
import pygwalker as pyg
# 加载数据并处理
df = pd.read_csv('./titanic.csv')
walker = pyg.walk(df)
# 调用to_html()获取HTML字符串
walker_html = walker.to_html()
# 将HTML字符串写入到文件
with open("1.html", "w", encoding="utf-8") as f:
f.write(walker_html)

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from fastapi import FastAPI
from fastapi.responses import HTMLResponse
import pandas as pd
import uvicorn
# 假设这个库和函数存在，用于处理DataFrame
import pygwalker as pyg
# 加载数据并处理
df = pd.read_csv('./titanic.csv')
walker = pyg.walk(df) # 假设这个方法返回一个可以转换为HTML的对象，例如DataFrame
app = FastAPI()
@app.get("/", response_class=HTMLResponse)
async def read_root():
# 将walker数据转换为HTML
# 如果walker是DataFrame，可以使用to_html()。否则，您需要根据数据类型自定义转换逻辑。
walker_html = walker.to_html()
return walker_html
if __name__ == "__main__":
# 使用Uvicorn运行应用。在这里指定host和port，以及`reload=True`实现代码改动时自动重启。
uvicorn.run("2:app", host="127.0.0.1", port=8000, reload=True)

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https://github.com/Kanaries/pygwalker/blob/main/docs/README.zh.md

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survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,3,male,22.0,1,0,7.25,S,Third,man,True,,Southampton,no,False
1,1,female,38.0,1,0,71.2833,C,First,woman,False,C,Cherbourg,yes,False
1,3,female,26.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
1,1,female,35.0,1,0,53.1,S,First,woman,False,C,Southampton,yes,False
0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.4583,Q,Third,man,True,,Queenstown,no,True
0,1,male,54.0,0,0,51.8625,S,First,man,True,E,Southampton,no,True
0,3,male,2.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,3,female,27.0,0,2,11.1333,S,Third,woman,False,,Southampton,yes,False
1,2,female,14.0,1,0,30.0708,C,Second,child,False,,Cherbourg,yes,False
1,3,female,4.0,1,1,16.7,S,Third,child,False,G,Southampton,yes,False
1,1,female,58.0,0,0,26.55,S,First,woman,False,C,Southampton,yes,True
0,3,male,20.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,39.0,1,5,31.275,S,Third,man,True,,Southampton,no,False
0,3,female,14.0,0,0,7.8542,S,Third,child,False,,Southampton,no,True
1,2,female,55.0,0,0,16.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,2.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,2,male,,0,0,13.0,S,Second,man,True,,Southampton,yes,True
0,3,female,31.0,1,0,18.0,S,Third,woman,False,,Southampton,no,False
1,3,female,,0,0,7.225,C,Third,woman,False,,Cherbourg,yes,True
0,2,male,35.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
1,2,male,34.0,0,0,13.0,S,Second,man,True,D,Southampton,yes,True
1,3,female,15.0,0,0,8.0292,Q,Third,child,False,,Queenstown,yes,True
1,1,male,28.0,0,0,35.5,S,First,man,True,A,Southampton,yes,True
0,3,female,8.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,3,female,38.0,1,5,31.3875,S,Third,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,19.0,3,2,263.0,S,First,man,True,C,Southampton,no,False
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,40.0,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
1,1,female,,1,0,146.5208,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,2,male,66.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,1,male,28.0,1,0,82.1708,C,First,man,True,,Cherbourg,no,False
0,1,male,42.0,1,0,52.0,S,First,man,True,,Southampton,no,False
1,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,18.0,2,0,18.0,S,Third,woman,False,,Southampton,no,False
1,3,female,14.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
0,3,female,40.0,1,0,9.475,S,Third,woman,False,,Southampton,no,False
0,2,female,27.0,1,0,21.0,S,Second,woman,False,,Southampton,no,False
0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
1,2,female,3.0,1,2,41.5792,C,Second,child,False,,Cherbourg,yes,False
1,3,female,19.0,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,,2,0,21.6792,C,Third,man,True,,Cherbourg,no,False
0,3,female,18.0,1,0,17.8,S,Third,woman,False,,Southampton,no,False
0,3,male,7.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,21.0,0,0,7.8,S,Third,man,True,,Southampton,no,True
1,1,female,49.0,1,0,76.7292,C,First,woman,False,D,Cherbourg,yes,False
1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,1,male,65.0,0,1,61.9792,C,First,man,True,B,Cherbourg,no,False
1,1,male,,0,0,35.5,S,First,man,True,C,Southampton,yes,True
1,2,female,21.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,3,male,28.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,2,female,5.0,1,2,27.75,S,Second,child,False,,Southampton,yes,False
0,3,male,11.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,3,male,22.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,1,female,38.0,0,0,80.0,,First,woman,False,B,,yes,True
0,1,male,45.0,1,0,83.475,S,First,man,True,C,Southampton,no,False
0,3,male,4.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
1,2,female,29.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
0,3,male,19.0,0,0,8.1583,S,Third,man,True,,Southampton,no,True
1,3,female,17.0,4,2,7.925,S,Third,woman,False,,Southampton,yes,False
0,3,male,26.0,2,0,8.6625,S,Third,man,True,,Southampton,no,False
0,2,male,32.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,16.0,5,2,46.9,S,Third,woman,False,,Southampton,no,False
0,2,male,21.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
0,3,male,26.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
0,3,male,25.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,2,male,0.83,0,2,29.0,S,Second,child,False,,Southampton,yes,False
1,3,female,30.0,0,0,12.475,S,Third,woman,False,,Southampton,yes,True
0,3,male,22.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
1,3,male,29.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
1,3,female,,0,0,7.7875,Q,Third,woman,False,,Queenstown,yes,True
0,1,male,28.0,0,0,47.1,S,First,man,True,,Southampton,no,True
1,2,female,17.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
1,3,female,33.0,3,0,15.85,S,Third,woman,False,,Southampton,yes,False
0,3,male,16.0,1,3,34.375,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,23.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
0,3,male,24.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,29.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,1,male,46.0,1,0,61.175,S,First,man,True,E,Southampton,no,False
0,3,male,26.0,1,2,20.575,S,Third,man,True,,Southampton,no,False
0,3,male,59.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,71.0,0,0,34.6542,C,First,man,True,A,Cherbourg,no,True
1,1,male,23.0,0,1,63.3583,C,First,man,True,D,Cherbourg,yes,False
1,2,female,34.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,34.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,female,28.0,0,0,7.8958,S,Third,woman,False,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,21.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
0,3,male,33.0,0,0,8.6542,S,Third,man,True,,Southampton,no,True
0,3,male,37.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,3,female,21.0,0,0,7.65,S,Third,woman,False,,Southampton,yes,True
1,3,male,,0,0,7.775,S,Third,man,True,,Southampton,yes,True
0,3,male,38.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,3,female,,1,0,24.15,Q,Third,woman,False,,Queenstown,yes,False
0,1,male,47.0,0,0,52.0,S,First,man,True,C,Southampton,no,True
0,3,female,14.5,1,0,14.4542,C,Third,child,False,,Cherbourg,no,False
0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,20.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
0,3,female,17.0,0,0,14.4583,C,Third,woman,False,,Cherbourg,no,True
0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,3,male,70.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,29.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,1,male,24.0,0,1,247.5208,C,First,man,True,B,Cherbourg,no,False
0,3,female,2.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,2,male,21.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,2,male,32.5,1,0,30.0708,C,Second,man,True,,Cherbourg,no,False
1,2,female,32.5,0,0,13.0,S,Second,woman,False,E,Southampton,yes,True
0,1,male,54.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
1,3,male,12.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,24.0,0,0,7.1417,S,Third,man,True,,Southampton,yes,True
1,3,female,,1,1,22.3583,C,Third,woman,False,F,Cherbourg,yes,False
0,3,male,45.0,0,0,6.975,S,Third,man,True,,Southampton,no,True
0,3,male,33.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,3,male,20.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,female,47.0,1,0,14.5,S,Third,woman,False,,Southampton,no,False
1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,15.0458,C,Second,man,True,,Cherbourg,no,True
1,1,female,19.0,0,2,26.2833,S,First,woman,False,D,Southampton,yes,False
0,1,male,37.0,1,0,53.1,S,First,man,True,C,Southampton,no,False
0,3,male,16.0,0,0,9.2167,S,Third,man,True,,Southampton,no,True
0,1,male,24.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
0,3,female,,0,2,15.2458,C,Third,woman,False,,Cherbourg,no,False
1,3,female,22.0,0,0,7.75,S,Third,woman,False,,Southampton,yes,True
1,3,female,24.0,1,0,15.85,S,Third,woman,False,,Southampton,yes,False
0,3,male,19.0,0,0,6.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
0,2,male,19.0,1,1,36.75,S,Second,man,True,,Southampton,no,False
1,3,male,27.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
0,3,female,9.0,2,2,34.375,S,Third,child,False,,Southampton,no,False
0,2,male,36.5,0,2,26.0,S,Second,man,True,F,Southampton,no,False
0,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,51.0,0,0,12.525,S,Second,man,True,,Southampton,no,True
1,1,female,22.0,1,0,66.6,S,First,woman,False,C,Southampton,yes,False
0,3,male,55.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,40.5,0,2,14.5,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.3125,S,Third,man,True,,Southampton,no,True
0,1,male,51.0,0,1,61.3792,C,First,man,True,,Cherbourg,no,False
1,3,female,16.0,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,44.0,0,1,16.1,S,Third,man,True,,Southampton,no,False
1,2,female,40.0,0,0,15.75,S,Second,woman,False,,Southampton,yes,True
0,3,male,26.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,1.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
1,3,male,9.0,0,2,20.525,S,Third,child,False,,Southampton,yes,False
1,1,female,,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
0,3,female,45.0,1,4,27.9,S,Third,woman,False,,Southampton,no,False
0,1,male,,0,0,25.925,S,First,man,True,,Southampton,no,True
0,3,male,28.0,0,0,56.4958,S,Third,man,True,,Southampton,no,True
0,1,male,61.0,0,0,33.5,S,First,man,True,B,Southampton,no,True
0,3,male,4.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,female,1.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,1,male,56.0,0,0,30.6958,C,First,man,True,A,Cherbourg,no,True
0,3,male,18.0,1,1,7.8542,S,Third,man,True,,Southampton,no,False
0,3,male,,3,1,25.4667,S,Third,man,True,,Southampton,no,False
0,1,female,50.0,0,0,28.7125,C,First,woman,False,C,Cherbourg,no,True
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,36.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,2,male,,0,0,15.05,C,Second,man,True,,Cherbourg,no,True
0,3,male,9.0,4,2,31.3875,S,Third,child,False,,Southampton,no,False
1,2,male,1.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
1,3,female,4.0,0,2,22.025,S,Third,child,False,,Southampton,yes,False
0,1,male,,0,0,50.0,S,First,man,True,A,Southampton,no,True
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
1,1,male,45.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
0,3,male,40.0,1,1,15.5,Q,Third,man,True,,Queenstown,no,False
0,3,male,36.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,32.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,2,male,19.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,3,female,19.0,1,0,7.8542,S,Third,woman,False,,Southampton,yes,False
1,2,male,3.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
1,1,female,44.0,0,0,27.7208,C,First,woman,False,B,Cherbourg,yes,True
1,1,female,58.0,0,0,146.5208,C,First,woman,False,B,Cherbourg,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,42.0,0,1,8.4042,S,Third,man,True,,Southampton,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,2,female,24.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,34.0,0,0,6.4958,S,Third,man,True,,Southampton,no,True
0,3,male,45.5,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,3,male,18.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,3,female,2.0,0,1,10.4625,S,Third,child,False,G,Southampton,no,False
0,3,male,32.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
1,3,male,26.0,0,0,18.7875,C,Third,man,True,,Cherbourg,yes,True
1,3,female,16.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,male,40.0,0,0,31.0,C,First,man,True,A,Cherbourg,yes,True
0,3,male,24.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
1,2,female,35.0,0,0,21.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,1,0,7.75,Q,Third,man,True,,Queenstown,no,False
1,1,female,31.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,27.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
0,2,male,42.0,1,0,27.0,S,Second,man,True,,Southampton,no,False
1,1,female,32.0,0,0,76.2917,C,First,woman,False,D,Cherbourg,yes,True
0,2,male,30.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,51.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,38.0,1,0,90.0,S,First,man,True,C,Southampton,yes,False
0,3,male,22.0,0,0,9.35,S,Third,man,True,,Southampton,no,True
1,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
0,3,male,20.5,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
1,1,female,35.0,1,0,83.475,S,First,woman,False,C,Southampton,yes,False
0,3,male,29.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,2,male,59.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
1,3,female,5.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
0,2,male,24.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,,0,0,7.55,S,Third,woman,False,,Southampton,no,True
0,2,male,44.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
1,2,female,8.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
0,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,2,male,33.0,0,0,12.275,S,Second,man,True,,Southampton,no,True
0,3,female,,1,0,14.4542,C,Third,woman,False,,Cherbourg,no,False
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
0,2,male,29.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,22.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
0,3,male,30.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,44.0,2,0,90.0,Q,First,man,True,C,Queenstown,no,False
0,3,female,25.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
1,2,female,24.0,0,2,14.5,S,Second,woman,False,,Southampton,yes,False
1,1,male,37.0,1,1,52.5542,S,First,man,True,D,Southampton,yes,False
0,2,male,54.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,female,29.0,1,1,10.4625,S,Third,woman,False,G,Southampton,no,False
0,1,male,62.0,0,0,26.55,S,First,man,True,C,Southampton,no,True
0,3,male,30.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
0,3,female,41.0,0,2,20.2125,S,Third,woman,False,,Southampton,no,False
1,3,female,29.0,0,2,15.2458,C,Third,woman,False,,Cherbourg,yes,False
1,1,female,,0,0,79.2,C,First,woman,False,,Cherbourg,yes,True
1,1,female,30.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
1,1,female,35.0,0,0,512.3292,C,First,woman,False,,Cherbourg,yes,True
1,2,female,50.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,3.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
0,1,male,52.0,1,1,79.65,S,First,man,True,E,Southampton,no,False
0,1,male,40.0,0,0,0.0,S,First,man,True,B,Southampton,no,True
0,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,2,male,36.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,16.0,4,1,39.6875,S,Third,man,True,,Southampton,no,False
1,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,yes,False
1,1,female,58.0,0,1,153.4625,S,First,woman,False,C,Southampton,yes,False
1,1,female,35.0,0,0,135.6333,S,First,woman,False,C,Southampton,yes,True
0,1,male,,0,0,31.0,S,First,man,True,,Southampton,no,True
1,3,male,25.0,0,0,0.0,S,Third,man,True,,Southampton,yes,True
1,2,female,41.0,0,1,19.5,S,Second,woman,False,,Southampton,yes,False
0,1,male,37.0,0,1,29.7,C,First,man,True,C,Cherbourg,no,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,63.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
0,3,female,45.0,0,0,7.75,S,Third,woman,False,,Southampton,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,7.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,female,35.0,1,1,20.25,S,Third,woman,False,,Southampton,yes,False
0,3,male,65.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,28.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,16.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,1,male,,0,0,26.0,S,First,man,True,A,Southampton,no,True
0,3,male,33.0,0,0,8.6625,C,Third,man,True,,Cherbourg,no,True
1,3,male,30.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
1,3,female,22.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,26.0,0,0,78.85,S,First,woman,False,,Southampton,yes,True
1,1,female,19.0,1,0,91.0792,C,First,woman,False,B,Cherbourg,yes,False
0,2,male,36.0,0,0,12.875,C,Second,man,True,D,Cherbourg,no,True
0,3,female,24.0,0,0,8.85,S,Third,woman,False,,Southampton,no,True
0,3,male,24.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
0,3,male,23.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,1,female,2.0,1,2,151.55,S,First,child,False,C,Southampton,no,False
1,1,male,,0,0,30.5,S,First,man,True,C,Southampton,yes,True
1,1,female,50.0,0,1,247.5208,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,3,male,,2,0,23.25,Q,Third,man,True,,Queenstown,yes,False
0,3,male,19.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
1,2,female,,0,0,12.35,Q,Second,woman,False,E,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,0.92,1,2,151.55,S,First,child,False,C,Southampton,yes,False
1,1,female,,0,0,110.8833,C,First,woman,False,,Cherbourg,yes,True
1,1,female,17.0,1,0,108.9,C,First,woman,False,C,Cherbourg,yes,False
0,2,male,30.0,1,0,24.0,C,Second,man,True,,Cherbourg,no,False
1,1,female,30.0,0,0,56.9292,C,First,woman,False,E,Cherbourg,yes,True
1,1,female,24.0,0,0,83.1583,C,First,woman,False,C,Cherbourg,yes,True
1,1,female,18.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
0,2,female,26.0,1,1,26.0,S,Second,woman,False,,Southampton,no,False
0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,43.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
1,3,female,26.0,0,0,7.8542,S,Third,woman,False,,Southampton,yes,True
1,2,female,24.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,54.0,0,0,14.0,S,Second,man,True,,Southampton,no,True
1,1,female,31.0,0,2,164.8667,S,First,woman,False,C,Southampton,yes,False
1,1,female,40.0,1,1,134.5,C,First,woman,False,E,Cherbourg,yes,False
0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,27.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,30.0,0,0,12.35,Q,Second,woman,False,,Queenstown,yes,True
1,2,female,22.0,1,1,29.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
1,1,female,36.0,0,0,135.6333,C,First,woman,False,C,Cherbourg,yes,True
0,3,male,61.0,0,0,6.2375,S,Third,man,True,,Southampton,no,True
1,2,female,36.0,0,0,13.0,S,Second,woman,False,D,Southampton,yes,True
1,3,female,31.0,1,1,20.525,S,Third,woman,False,,Southampton,yes,False
1,1,female,16.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
1,3,female,,2,0,23.25,Q,Third,woman,False,,Queenstown,yes,False
0,1,male,45.5,0,0,28.5,S,First,man,True,C,Southampton,no,True
0,1,male,38.0,0,1,153.4625,S,First,man,True,C,Southampton,no,False
0,3,male,16.0,2,0,18.0,S,Third,man,True,,Southampton,no,False
1,1,female,,1,0,133.65,S,First,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,29.0,1,0,66.6,S,First,man,True,C,Southampton,no,False
1,1,female,41.0,0,0,134.5,C,First,woman,False,E,Cherbourg,yes,True
1,3,male,45.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
0,1,male,45.0,0,0,35.5,S,First,man,True,,Southampton,no,True
1,2,male,2.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
1,1,female,24.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
0,2,male,28.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,36.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,24.0,0,0,13.0,S,Second,woman,False,F,Southampton,yes,True
1,2,female,40.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
1,3,male,3.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
0,3,male,42.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,23.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,35.0,S,First,man,True,C,Southampton,no,True
0,3,male,15.0,1,1,7.2292,C,Third,child,False,,Cherbourg,no,False
0,3,male,25.0,1,0,17.8,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,1,female,22.0,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
0,2,female,38.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,40.0,1,4,27.9,S,Third,man,True,,Southampton,no,False
0,2,male,29.0,1,0,27.7208,C,Second,man,True,,Cherbourg,no,False
0,3,female,45.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
0,3,male,35.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
0,3,male,30.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,1,female,60.0,1,0,75.25,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,,0,0,7.2292,C,Third,woman,False,,Cherbourg,yes,True
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
1,1,male,25.0,1,0,55.4417,C,First,man,True,E,Cherbourg,yes,False
0,3,male,18.0,1,0,6.4958,S,Third,man,True,,Southampton,no,False
0,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,22.0,0,0,135.6333,C,First,man,True,,Cherbourg,no,True
0,3,female,3.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
1,1,female,,1,0,82.1708,C,First,woman,False,,Cherbourg,yes,False
1,3,female,22.0,0,0,7.25,S,Third,woman,False,,Southampton,yes,True
0,1,male,27.0,0,2,211.5,C,First,man,True,C,Cherbourg,no,False
0,3,male,20.0,0,0,4.0125,C,Third,man,True,,Cherbourg,no,True
0,3,male,19.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,1,female,42.0,0,0,227.525,C,First,woman,False,,Cherbourg,yes,True
1,3,female,1.0,0,2,15.7417,C,Third,child,False,,Cherbourg,yes,False
0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
1,1,female,35.0,1,0,52.0,S,First,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
0,3,male,1.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
1,2,female,36.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.7292,Q,Third,man,True,,Queenstown,no,True
1,2,female,17.0,0,0,12.0,C,Second,woman,False,,Cherbourg,yes,True
1,1,male,36.0,1,2,120.0,S,First,man,True,B,Southampton,yes,False
1,3,male,21.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
0,3,male,28.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
1,1,female,23.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
1,3,female,24.0,0,2,16.7,S,Third,woman,False,G,Southampton,yes,False
0,3,male,22.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,3,female,31.0,0,0,7.8542,S,Third,woman,False,,Southampton,no,True
0,2,male,46.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,female,28.0,0,0,12.65,S,Second,woman,False,,Southampton,yes,True
1,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,3,male,26.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,21.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
0,3,male,28.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
0,3,female,20.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,3,male,51.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
1,2,male,3.0,1,1,18.75,S,Second,child,False,,Southampton,yes,False
0,3,male,21.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,6.8583,Q,Third,man,True,,Queenstown,no,True
1,1,female,33.0,1,0,90.0,Q,First,woman,False,C,Queenstown,yes,False
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
1,3,male,44.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
1,2,female,34.0,1,1,32.5,S,Second,woman,False,,Southampton,yes,False
1,2,female,18.0,0,2,13.0,S,Second,woman,False,,Southampton,yes,False
0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,female,10.0,0,2,24.15,S,Third,child,False,,Southampton,no,False
0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,3,male,21.0,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
0,3,male,29.0,0,0,7.875,S,Third,man,True,,Southampton,no,True
0,3,female,28.0,1,1,14.4,S,Third,woman,False,,Southampton,no,False
0,3,male,18.0,1,1,20.2125,S,Third,man,True,,Southampton,no,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,2,female,28.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
1,2,female,19.0,0,0,26.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,3,male,32.0,0,0,8.05,S,Third,man,True,E,Southampton,yes,True
1,1,male,28.0,0,0,26.55,S,First,man,True,C,Southampton,yes,True
1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
1,2,female,42.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,17.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
0,1,male,50.0,1,0,55.9,S,First,man,True,E,Southampton,no,False
1,1,female,14.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
0,3,female,21.0,2,2,34.375,S,Third,woman,False,,Southampton,no,False
1,2,female,24.0,2,3,18.75,S,Second,woman,False,,Southampton,yes,False
0,1,male,64.0,1,4,263.0,S,First,man,True,C,Southampton,no,False
0,2,male,31.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,female,45.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
0,3,male,20.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,no,False
1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,3,male,,0,0,8.1125,S,Third,man,True,,Southampton,yes,True
1,1,male,4.0,0,2,81.8583,S,First,child,False,A,Southampton,yes,False
1,2,female,13.0,0,1,19.5,S,Second,child,False,,Southampton,yes,False
1,1,male,34.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
1,3,female,5.0,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
1,1,male,52.0,0,0,30.5,S,First,man,True,C,Southampton,yes,True
0,2,male,36.0,1,2,27.75,S,Second,man,True,,Southampton,no,False
0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
0,1,male,30.0,0,0,27.75,C,First,man,True,C,Cherbourg,no,True
1,1,male,49.0,1,0,89.1042,C,First,man,True,C,Cherbourg,yes,False
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,29.0,0,0,7.8958,C,Third,man,True,,Cherbourg,yes,True
0,1,male,65.0,0,0,26.55,S,First,man,True,E,Southampton,no,True
1,1,female,,1,0,51.8625,S,First,woman,False,D,Southampton,yes,False
1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,1,male,48.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,47.0,0,0,38.5,S,First,man,True,E,Southampton,no,True
0,2,male,48.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,38.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,1,male,56.0,0,0,26.55,S,First,man,True,,Southampton,no,True
0,3,male,,0,0,7.725,Q,Third,man,True,,Queenstown,no,True
1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,male,38.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
1,2,female,33.0,1,2,27.75,S,Second,woman,False,,Southampton,yes,False
1,2,female,23.0,0,0,13.7917,C,Second,woman,False,D,Cherbourg,yes,True
0,3,female,22.0,0,0,9.8375,S,Third,woman,False,,Southampton,no,True
0,1,male,,0,0,52.0,S,First,man,True,A,Southampton,no,True
0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
0,3,male,29.0,1,0,7.0458,S,Third,man,True,,Southampton,no,False
0,3,male,22.0,0,0,7.5208,S,Third,man,True,,Southampton,no,True
1,3,female,2.0,0,1,12.2875,S,Third,child,False,,Southampton,yes,False
0,3,male,9.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,50.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,63.0,0,0,9.5875,S,Third,woman,False,,Southampton,yes,True
1,1,male,25.0,1,0,91.0792,C,First,man,True,B,Cherbourg,yes,False
0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
1,1,female,35.0,1,0,90.0,S,First,woman,False,C,Southampton,yes,False
0,1,male,58.0,0,0,29.7,C,First,man,True,B,Cherbourg,no,True
0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,9.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
0,3,male,21.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,1,male,55.0,0,0,30.5,S,First,man,True,C,Southampton,no,True
0,1,male,71.0,0,0,49.5042,C,First,man,True,,Cherbourg,no,True
0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,14.4583,C,Third,man,True,,Cherbourg,no,True
1,1,female,54.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
0,3,male,,0,0,15.1,S,Third,man,True,,Southampton,no,True
0,1,female,25.0,1,2,151.55,S,First,woman,False,C,Southampton,no,False
0,3,male,24.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,female,21.0,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,3,female,,0,0,7.6292,Q,Third,woman,False,,Queenstown,no,True
0,3,female,37.0,0,0,9.5875,S,Third,woman,False,,Southampton,no,True
1,1,female,16.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
0,1,male,18.0,1,0,108.9,C,First,man,True,C,Cherbourg,no,False
1,2,female,33.0,0,2,26.0,S,Second,woman,False,,Southampton,yes,False
1,1,male,,0,0,26.55,S,First,man,True,,Southampton,yes,True
0,3,male,28.0,0,0,22.525,S,Third,man,True,,Southampton,no,True
1,3,male,26.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,3,male,29.0,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,36.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
1,1,female,54.0,1,0,59.4,C,First,woman,False,,Cherbourg,yes,False
0,3,male,24.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
0,1,male,47.0,0,0,34.0208,S,First,man,True,D,Southampton,no,True
1,2,female,34.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
0,3,male,,0,0,24.15,Q,Third,man,True,,Queenstown,no,True
1,2,female,36.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,32.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,30.0,0,0,93.5,S,First,woman,False,B,Southampton,yes,True
0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,1,female,44.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,40.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
0,1,male,,0,0,221.7792,S,First,man,True,C,Southampton,no,True
0,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,23.0,2,1,11.5,S,Second,man,True,,Southampton,no,False
1,2,female,2.0,1,1,26.0,S,Second,child,False,,Southampton,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,17.0,1,1,7.2292,C,Third,man,True,,Cherbourg,no,False
1,3,female,,0,2,22.3583,C,Third,woman,False,,Cherbourg,yes,False
0,3,female,30.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
1,2,female,7.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
0,1,male,45.0,0,0,26.55,S,First,man,True,B,Southampton,no,True
1,1,female,30.0,0,0,106.425,C,First,woman,False,,Cherbourg,yes,True
0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
1,1,female,22.0,0,2,49.5,C,First,woman,False,B,Cherbourg,yes,False
1,1,female,36.0,0,2,71.0,S,First,woman,False,B,Southampton,yes,False
0,3,female,9.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,female,11.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
1,2,male,32.0,1,0,26.0,S,Second,man,True,,Southampton,yes,False
0,1,male,50.0,1,0,106.425,C,First,man,True,C,Cherbourg,no,False
0,1,male,64.0,0,0,26.0,S,First,man,True,,Southampton,no,True
1,2,female,19.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
1,2,male,,0,0,13.8625,C,Second,man,True,,Cherbourg,yes,True
0,3,male,33.0,1,1,20.525,S,Third,man,True,,Southampton,no,False
1,2,male,8.0,1,1,36.75,S,Second,child,False,,Southampton,yes,False
1,1,male,17.0,0,2,110.8833,C,First,man,True,C,Cherbourg,yes,False
0,2,male,27.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,7.8292,Q,Third,man,True,,Queenstown,no,True
1,3,male,22.0,0,0,7.225,C,Third,man,True,,Cherbourg,yes,True
1,3,female,22.0,0,0,7.775,S,Third,woman,False,,Southampton,yes,True
0,1,male,62.0,0,0,26.55,S,First,man,True,,Southampton,no,True
1,1,female,48.0,1,0,39.6,C,First,woman,False,A,Cherbourg,yes,False
0,1,male,,0,0,227.525,C,First,man,True,,Cherbourg,no,True
1,1,female,39.0,1,1,79.65,S,First,woman,False,E,Southampton,yes,False
1,3,female,36.0,1,0,17.4,S,Third,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,40.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,28.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
0,3,male,24.0,2,0,24.15,S,Third,man,True,,Southampton,no,False
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,29.0,0,4,21.075,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
1,3,male,32.0,0,0,7.8542,S,Third,man,True,,Southampton,yes,True
1,2,male,62.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
1,1,female,53.0,2,0,51.4792,S,First,woman,False,C,Southampton,yes,False
1,1,male,36.0,0,0,26.3875,S,First,man,True,E,Southampton,yes,True
1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
0,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,19.0,0,0,14.5,S,Third,man,True,,Southampton,no,True
1,2,female,34.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,1,female,39.0,1,0,55.9,S,First,woman,False,E,Southampton,yes,False
0,3,female,,1,0,14.4583,C,Third,woman,False,,Cherbourg,no,False
1,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
1,2,female,25.0,1,1,30.0,S,Second,woman,False,,Southampton,yes,False
1,1,female,39.0,1,1,110.8833,C,First,woman,False,C,Cherbourg,yes,False
0,2,male,54.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,1,male,36.0,0,0,40.125,C,First,man,True,A,Cherbourg,no,True
0,3,male,,0,0,8.7125,C,Third,man,True,,Cherbourg,no,True
1,1,female,18.0,0,2,79.65,S,First,woman,False,E,Southampton,yes,False
0,2,male,47.0,0,0,15.0,S,Second,man,True,,Southampton,no,True
1,1,male,60.0,1,1,79.2,C,First,man,True,B,Cherbourg,yes,False
0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,3,male,35.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
1,1,female,52.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
0,3,male,47.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
0,3,female,,0,2,7.75,Q,Third,woman,False,,Queenstown,no,False
0,2,male,37.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,male,36.0,1,1,24.15,S,Third,man,True,,Southampton,no,False
1,2,female,,0,0,33.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,49.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,1,male,49.0,1,0,56.9292,C,First,man,True,A,Cherbourg,yes,False
1,2,female,24.0,2,1,27.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,42.4,S,First,man,True,,Southampton,no,True
0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,male,35.0,0,0,26.55,C,First,man,True,,Cherbourg,yes,True
0,3,male,36.0,1,0,15.55,S,Third,man,True,,Southampton,no,False
0,3,male,30.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,27.0,0,0,30.5,S,First,man,True,,Southampton,yes,True
1,2,female,22.0,1,2,41.5792,C,Second,woman,False,,Cherbourg,yes,False
1,1,female,40.0,0,0,153.4625,S,First,woman,False,C,Southampton,yes,True
0,3,female,39.0,1,5,31.275,S,Third,woman,False,,Southampton,no,False
0,3,male,,0,0,7.05,S,Third,man,True,,Southampton,no,True
1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,2,female,24.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,34.0,1,1,14.4,S,Third,man,True,,Southampton,no,False
0,3,female,26.0,1,0,16.1,S,Third,woman,False,,Southampton,no,False
1,2,female,4.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
0,2,male,26.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,27.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
1,1,male,42.0,1,0,52.5542,S,First,man,True,D,Southampton,yes,False
1,3,male,20.0,1,1,15.7417,C,Third,man,True,,Cherbourg,yes,False
0,3,male,21.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,21.0,0,0,16.1,S,Third,man,True,,Southampton,no,True
0,1,male,61.0,0,0,32.3208,S,First,man,True,D,Southampton,no,True
0,2,male,57.0,0,0,12.35,Q,Second,man,True,,Queenstown,no,True
1,1,female,21.0,0,0,77.9583,S,First,woman,False,D,Southampton,yes,True
0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
1,1,male,80.0,0,0,30.0,S,First,man,True,A,Southampton,yes,True
0,3,male,51.0,0,0,7.0542,S,Third,man,True,,Southampton,no,True
1,1,male,32.0,0,0,30.5,C,First,man,True,B,Cherbourg,yes,True
0,1,male,,0,0,0.0,S,First,man,True,,Southampton,no,True
0,3,female,9.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,31.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
0,3,female,41.0,0,5,39.6875,S,Third,woman,False,,Southampton,no,False
0,3,male,,1,0,16.1,S,Third,man,True,,Southampton,no,False
0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
0,3,female,2.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
1,1,male,48.0,1,0,76.7292,C,First,man,True,D,Cherbourg,yes,False
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,56.0,0,0,35.5,C,First,man,True,A,Cherbourg,yes,True
0,3,male,,0,0,7.55,S,Third,man,True,,Southampton,no,True
1,3,female,23.0,0,0,7.55,S,Third,woman,False,,Southampton,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,18.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,21.0,0,0,8.4333,S,Third,man,True,,Southampton,no,True
1,3,female,,0,0,7.8292,Q,Third,woman,False,,Queenstown,yes,True
0,3,female,18.0,0,0,6.75,Q,Third,woman,False,,Queenstown,no,True
0,2,male,24.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,32.0,1,1,15.5,Q,Third,woman,False,,Queenstown,no,False
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,1,male,58.0,0,2,113.275,C,First,man,True,D,Cherbourg,no,False
1,1,male,50.0,2,0,133.65,S,First,man,True,,Southampton,yes,False
0,3,male,40.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,47.0,0,0,25.5875,S,First,man,True,E,Southampton,no,True
0,3,male,36.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
1,3,male,20.0,1,0,7.925,S,Third,man,True,,Southampton,yes,False
0,2,male,32.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,43.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,,1,0,52.0,S,First,woman,False,C,Southampton,yes,False
1,2,female,40.0,1,1,39.0,S,Second,woman,False,,Southampton,yes,False
0,1,male,31.0,1,0,52.0,S,First,man,True,B,Southampton,no,False
0,2,male,70.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,2,male,31.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,3,male,18.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,male,24.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,18.0,0,0,9.8417,S,Third,woman,False,,Southampton,yes,True
0,3,female,43.0,1,6,46.9,S,Third,woman,False,,Southampton,no,False
1,1,male,36.0,0,1,512.3292,C,First,man,True,B,Cherbourg,yes,False
0,3,female,,0,0,8.1375,Q,Third,woman,False,,Queenstown,no,True
1,1,male,27.0,0,0,76.7292,C,First,man,True,D,Cherbourg,yes,True
0,3,male,20.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
0,3,male,14.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
0,2,male,60.0,1,1,39.0,S,Second,man,True,,Southampton,no,False
0,2,male,25.0,1,2,41.5792,C,Second,man,True,,Cherbourg,no,False
0,3,male,14.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,19.0,0,0,10.1708,S,Third,man,True,,Southampton,no,True
0,3,male,18.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
1,1,female,15.0,0,1,211.3375,S,First,child,False,B,Southampton,yes,False
1,1,male,31.0,1,0,57.0,S,First,man,True,B,Southampton,yes,False
1,3,female,4.0,0,1,13.4167,C,Third,child,False,,Cherbourg,yes,False
1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
0,3,male,25.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
0,1,male,60.0,0,0,26.55,S,First,man,True,,Southampton,no,True
0,2,male,52.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,female,,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
0,1,male,49.0,1,1,110.8833,C,First,man,True,C,Cherbourg,no,False
0,3,male,42.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
1,1,female,18.0,1,0,227.525,C,First,woman,False,C,Cherbourg,yes,False
1,1,male,35.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
0,3,female,18.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
0,3,male,25.0,0,0,7.7417,Q,Third,man,True,,Queenstown,no,True
0,3,male,26.0,1,0,7.8542,S,Third,man,True,,Southampton,no,False
0,2,male,39.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
1,2,female,45.0,0,0,13.5,S,Second,woman,False,,Southampton,yes,True
1,1,male,42.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
1,1,female,22.0,0,0,151.55,S,First,woman,False,,Southampton,yes,True
1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
1,1,female,24.0,0,0,49.5042,C,First,woman,False,C,Cherbourg,yes,True
0,1,male,,0,0,26.55,S,First,man,True,C,Southampton,no,True
1,1,male,48.0,1,0,52.0,S,First,man,True,C,Southampton,yes,False
0,3,male,29.0,0,0,9.4833,S,Third,man,True,,Southampton,no,True
0,2,male,52.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,19.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
1,1,female,38.0,0,0,227.525,C,First,woman,False,C,Cherbourg,yes,True
1,2,female,27.0,0,0,10.5,S,Second,woman,False,E,Southampton,yes,True
0,3,male,,0,0,15.5,Q,Third,man,True,,Queenstown,no,True
0,3,male,33.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,2,female,6.0,0,1,33.0,S,Second,child,False,,Southampton,yes,False
0,3,male,17.0,1,0,7.0542,S,Third,man,True,,Southampton,no,False
0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,50.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,male,27.0,1,0,53.1,S,First,man,True,E,Southampton,yes,False
0,3,male,20.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
1,2,female,30.0,3,0,21.0,S,Second,woman,False,,Southampton,yes,False
1,3,female,,0,0,7.7375,Q,Third,woman,False,,Queenstown,yes,True
0,2,male,25.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
0,3,female,25.0,1,0,7.925,S,Third,woman,False,,Southampton,no,False
1,1,female,29.0,0,0,211.3375,S,First,woman,False,B,Southampton,yes,True
0,3,male,11.0,0,0,18.7875,C,Third,child,False,,Cherbourg,no,True
0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
0,3,male,28.5,0,0,16.1,S,Third,man,True,,Southampton,no,True
0,3,female,48.0,1,3,34.375,S,Third,woman,False,,Southampton,no,False
1,1,male,35.0,0,0,512.3292,C,First,man,True,B,Cherbourg,yes,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,male,,0,0,30.0,S,First,man,True,D,Southampton,yes,True
0,1,male,36.0,1,0,78.85,S,First,man,True,C,Southampton,no,False
1,1,female,21.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
0,3,male,24.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
1,3,male,31.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
0,1,male,70.0,1,1,71.0,S,First,man,True,B,Southampton,no,False
0,3,male,16.0,1,1,20.25,S,Third,man,True,,Southampton,no,False
1,2,female,30.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
0,1,male,19.0,1,0,53.1,S,First,man,True,D,Southampton,no,False
0,3,male,31.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1,2,female,4.0,1,1,23.0,S,Second,child,False,,Southampton,yes,False
1,3,male,6.0,0,1,12.475,S,Third,child,False,E,Southampton,yes,False
0,3,male,33.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,23.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,2,female,48.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
1,2,male,0.67,1,1,14.5,S,Second,child,False,,Southampton,yes,False
0,3,male,28.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,1,female,33.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
0,3,male,41.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
1,3,male,20.0,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
1,1,female,36.0,1,2,120.0,S,First,woman,False,B,Southampton,yes,False
0,3,male,16.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
1,1,female,51.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
0,1,male,,0,0,39.6,C,First,man,True,,Cherbourg,no,True
0,3,female,30.5,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
0,3,male,,1,0,24.15,Q,Third,man,True,,Queenstown,no,False
0,3,male,32.0,0,0,8.3625,S,Third,man,True,,Southampton,no,True
0,3,male,24.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
0,3,male,48.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,2,female,57.0,0,0,10.5,S,Second,woman,False,E,Southampton,no,True
0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
1,2,female,54.0,1,3,23.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,18.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.75,Q,Third,man,True,F,Queenstown,no,True
1,3,female,5.0,0,0,12.475,S,Third,child,False,,Southampton,yes,True
0,3,male,,0,0,7.7375,Q,Third,man,True,,Queenstown,no,True
1,1,female,43.0,0,1,211.3375,S,First,woman,False,B,Southampton,yes,False
1,3,female,13.0,0,0,7.2292,C,Third,child,False,,Cherbourg,yes,True
1,1,female,17.0,1,0,57.0,S,First,woman,False,B,Southampton,yes,False
0,1,male,29.0,0,0,30.0,S,First,man,True,D,Southampton,no,True
0,3,male,,1,2,23.45,S,Third,man,True,,Southampton,no,False
0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,male,25.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
1,3,female,18.0,0,0,7.4958,S,Third,woman,False,,Southampton,yes,True
0,3,male,8.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
1,3,male,1.0,1,2,20.575,S,Third,child,False,,Southampton,yes,False
0,1,male,46.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
0,2,male,16.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,1,male,,0,0,30.6958,C,First,man,True,,Cherbourg,no,True
0,3,male,25.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,49.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
1,3,female,31.0,0,0,8.6833,S,Third,woman,False,,Southampton,yes,True
0,3,male,30.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,female,30.0,1,1,24.15,S,Third,woman,False,,Southampton,no,False
0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,31.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
1,1,male,11.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
1,3,male,0.42,0,1,8.5167,C,Third,child,False,,Cherbourg,yes,False
1,3,male,27.0,0,0,6.975,S,Third,man,True,,Southampton,yes,True
0,3,male,31.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,1,male,39.0,0,0,0.0,S,First,man,True,A,Southampton,no,True
0,3,female,18.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,33.0,1,0,53.1,S,First,woman,False,E,Southampton,yes,False
0,3,male,26.0,0,0,7.8875,S,Third,man,True,,Southampton,no,True
0,3,male,39.0,0,0,24.15,S,Third,man,True,,Southampton,no,True
0,2,male,35.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,female,6.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,male,30.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
0,1,male,,0,0,0.0,S,First,man,True,B,Southampton,no,True
0,3,female,23.0,0,0,7.925,S,Third,woman,False,,Southampton,no,True
0,2,male,31.0,1,1,37.0042,C,Second,man,True,,Cherbourg,no,False
0,3,male,43.0,0,0,6.45,S,Third,man,True,,Southampton,no,True
0,3,male,10.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
1,1,female,52.0,1,1,93.5,S,First,woman,False,B,Southampton,yes,False
1,3,male,27.0,0,0,8.6625,S,Third,man,True,,Southampton,yes,True
0,1,male,38.0,0,0,0.0,S,First,man,True,,Southampton,no,True
1,3,female,27.0,0,1,12.475,S,Third,woman,False,E,Southampton,yes,False
0,3,male,2.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
0,3,male,,0,0,6.95,Q,Third,man,True,,Queenstown,no,True
0,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,no,True
1,2,male,1.0,0,2,37.0042,C,Second,child,False,,Cherbourg,yes,False
1,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
1,1,female,62.0,0,0,80.0,,First,woman,False,B,,yes,True
1,3,female,15.0,1,0,14.4542,C,Third,child,False,,Cherbourg,yes,False
1,2,male,0.83,1,1,18.75,S,Second,child,False,,Southampton,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,23.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
0,3,male,18.0,0,0,8.3,S,Third,man,True,,Southampton,no,True
1,1,female,39.0,1,1,83.1583,C,First,woman,False,E,Cherbourg,yes,False
0,3,male,21.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
1,1,male,,0,0,29.7,C,First,man,True,C,Cherbourg,yes,True
0,3,male,20.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
0,2,male,16.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
1,1,female,30.0,0,0,31.0,C,First,woman,False,,Cherbourg,yes,True
0,3,male,34.5,0,0,6.4375,C,Third,man,True,,Cherbourg,no,True
0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
0,3,male,42.0,0,0,7.55,S,Third,man,True,,Southampton,no,True
0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
0,3,male,35.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
0,2,male,28.0,0,1,33.0,S,Second,man,True,,Southampton,no,False
1,1,female,,1,0,89.1042,C,First,woman,False,C,Cherbourg,yes,False
0,3,male,4.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
0,3,male,74.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
0,3,female,9.0,1,1,15.2458,C,Third,child,False,,Cherbourg,no,False
1,1,female,16.0,0,1,39.4,S,First,woman,False,D,Southampton,yes,False
0,2,female,44.0,1,0,26.0,S,Second,woman,False,,Southampton,no,False
1,3,female,18.0,0,1,9.35,S,Third,woman,False,,Southampton,yes,False
1,1,female,45.0,1,1,164.8667,S,First,woman,False,,Southampton,yes,False
1,1,male,51.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
1,3,female,24.0,0,3,19.2583,C,Third,woman,False,,Cherbourg,yes,False
0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
0,3,male,41.0,2,0,14.1083,S,Third,man,True,,Southampton,no,False
0,2,male,21.0,1,0,11.5,S,Second,man,True,,Southampton,no,False
1,1,female,48.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
0,2,male,24.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,2,female,42.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
1,2,female,27.0,1,0,13.8583,C,Second,woman,False,,Cherbourg,yes,False
0,1,male,31.0,0,0,50.4958,S,First,man,True,A,Southampton,no,True
0,3,male,,0,0,9.5,S,Third,man,True,,Southampton,no,True
1,3,male,4.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,47.0,1,1,52.5542,S,First,woman,False,D,Southampton,yes,False
0,1,male,33.0,0,0,5.0,S,First,man,True,B,Southampton,no,True
0,3,male,47.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
1,2,female,28.0,1,0,24.0,C,Second,woman,False,,Cherbourg,yes,False
1,3,female,15.0,0,0,7.225,C,Third,child,False,,Cherbourg,yes,True
0,3,male,20.0,0,0,9.8458,S,Third,man,True,,Southampton,no,True
0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
1,1,female,56.0,0,1,83.1583,C,First,woman,False,C,Cherbourg,yes,False
1,2,female,25.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
0,3,male,33.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
0,3,female,22.0,0,0,10.5167,S,Third,woman,False,,Southampton,no,True
0,2,male,28.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
0,3,female,39.0,0,5,29.125,Q,Third,woman,False,,Queenstown,no,False
0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
1,1,female,19.0,0,0,30.0,S,First,woman,False,B,Southampton,yes,True
0,3,female,,1,2,23.45,S,Third,woman,False,,Southampton,no,False
1,1,male,26.0,0,0,30.0,C,First,man,True,C,Cherbourg,yes,True
0,3,male,32.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
1 survived pclass sex age sibsp parch fare embarked class who adult_male deck embark_town alive alone
2 0 3 male 22.0 1 0 7.25 S Third man True Southampton no False
3 1 1 female 38.0 1 0 71.2833 C First woman False C Cherbourg yes False
4 1 3 female 26.0 0 0 7.925 S Third woman False Southampton yes True
5 1 1 female 35.0 1 0 53.1 S First woman False C Southampton yes False
6 0 3 male 35.0 0 0 8.05 S Third man True Southampton no True
7 0 3 male 0 0 8.4583 Q Third man True Queenstown no True
8 0 1 male 54.0 0 0 51.8625 S First man True E Southampton no True
9 0 3 male 2.0 3 1 21.075 S Third child False Southampton no False
10 1 3 female 27.0 0 2 11.1333 S Third woman False Southampton yes False
11 1 2 female 14.0 1 0 30.0708 C Second child False Cherbourg yes False
12 1 3 female 4.0 1 1 16.7 S Third child False G Southampton yes False
13 1 1 female 58.0 0 0 26.55 S First woman False C Southampton yes True
14 0 3 male 20.0 0 0 8.05 S Third man True Southampton no True
15 0 3 male 39.0 1 5 31.275 S Third man True Southampton no False
16 0 3 female 14.0 0 0 7.8542 S Third child False Southampton no True
17 1 2 female 55.0 0 0 16.0 S Second woman False Southampton yes True
18 0 3 male 2.0 4 1 29.125 Q Third child False Queenstown no False
19 1 2 male 0 0 13.0 S Second man True Southampton yes True
20 0 3 female 31.0 1 0 18.0 S Third woman False Southampton no False
21 1 3 female 0 0 7.225 C Third woman False Cherbourg yes True
22 0 2 male 35.0 0 0 26.0 S Second man True Southampton no True
23 1 2 male 34.0 0 0 13.0 S Second man True D Southampton yes True
24 1 3 female 15.0 0 0 8.0292 Q Third child False Queenstown yes True
25 1 1 male 28.0 0 0 35.5 S First man True A Southampton yes True
26 0 3 female 8.0 3 1 21.075 S Third child False Southampton no False
27 1 3 female 38.0 1 5 31.3875 S Third woman False Southampton yes False
28 0 3 male 0 0 7.225 C Third man True Cherbourg no True
29 0 1 male 19.0 3 2 263.0 S First man True C Southampton no False
30 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
31 0 3 male 0 0 7.8958 S Third man True Southampton no True
32 0 1 male 40.0 0 0 27.7208 C First man True Cherbourg no True
33 1 1 female 1 0 146.5208 C First woman False B Cherbourg yes False
34 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
35 0 2 male 66.0 0 0 10.5 S Second man True Southampton no True
36 0 1 male 28.0 1 0 82.1708 C First man True Cherbourg no False
37 0 1 male 42.0 1 0 52.0 S First man True Southampton no False
38 1 3 male 0 0 7.2292 C Third man True Cherbourg yes True
39 0 3 male 21.0 0 0 8.05 S Third man True Southampton no True
40 0 3 female 18.0 2 0 18.0 S Third woman False Southampton no False
41 1 3 female 14.0 1 0 11.2417 C Third child False Cherbourg yes False
42 0 3 female 40.0 1 0 9.475 S Third woman False Southampton no False
43 0 2 female 27.0 1 0 21.0 S Second woman False Southampton no False
44 0 3 male 0 0 7.8958 C Third man True Cherbourg no True
45 1 2 female 3.0 1 2 41.5792 C Second child False Cherbourg yes False
46 1 3 female 19.0 0 0 7.8792 Q Third woman False Queenstown yes True
47 0 3 male 0 0 8.05 S Third man True Southampton no True
48 0 3 male 1 0 15.5 Q Third man True Queenstown no False
49 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
50 0 3 male 2 0 21.6792 C Third man True Cherbourg no False
51 0 3 female 18.0 1 0 17.8 S Third woman False Southampton no False
52 0 3 male 7.0 4 1 39.6875 S Third child False Southampton no False
53 0 3 male 21.0 0 0 7.8 S Third man True Southampton no True
54 1 1 female 49.0 1 0 76.7292 C First woman False D Cherbourg yes False
55 1 2 female 29.0 1 0 26.0 S Second woman False Southampton yes False
56 0 1 male 65.0 0 1 61.9792 C First man True B Cherbourg no False
57 1 1 male 0 0 35.5 S First man True C Southampton yes True
58 1 2 female 21.0 0 0 10.5 S Second woman False Southampton yes True
59 0 3 male 28.5 0 0 7.2292 C Third man True Cherbourg no True
60 1 2 female 5.0 1 2 27.75 S Second child False Southampton yes False
61 0 3 male 11.0 5 2 46.9 S Third child False Southampton no False
62 0 3 male 22.0 0 0 7.2292 C Third man True Cherbourg no True
63 1 1 female 38.0 0 0 80.0 First woman False B yes True
64 0 1 male 45.0 1 0 83.475 S First man True C Southampton no False
65 0 3 male 4.0 3 2 27.9 S Third child False Southampton no False
66 0 1 male 0 0 27.7208 C First man True Cherbourg no True
67 1 3 male 1 1 15.2458 C Third man True Cherbourg yes False
68 1 2 female 29.0 0 0 10.5 S Second woman False F Southampton yes True
69 0 3 male 19.0 0 0 8.1583 S Third man True Southampton no True
70 1 3 female 17.0 4 2 7.925 S Third woman False Southampton yes False
71 0 3 male 26.0 2 0 8.6625 S Third man True Southampton no False
72 0 2 male 32.0 0 0 10.5 S Second man True Southampton no True
73 0 3 female 16.0 5 2 46.9 S Third woman False Southampton no False
74 0 2 male 21.0 0 0 73.5 S Second man True Southampton no True
75 0 3 male 26.0 1 0 14.4542 C Third man True Cherbourg no False
76 1 3 male 32.0 0 0 56.4958 S Third man True Southampton yes True
77 0 3 male 25.0 0 0 7.65 S Third man True F Southampton no True
78 0 3 male 0 0 7.8958 S Third man True Southampton no True
79 0 3 male 0 0 8.05 S Third man True Southampton no True
80 1 2 male 0.83 0 2 29.0 S Second child False Southampton yes False
81 1 3 female 30.0 0 0 12.475 S Third woman False Southampton yes True
82 0 3 male 22.0 0 0 9.0 S Third man True Southampton no True
83 1 3 male 29.0 0 0 9.5 S Third man True Southampton yes True
84 1 3 female 0 0 7.7875 Q Third woman False Queenstown yes True
85 0 1 male 28.0 0 0 47.1 S First man True Southampton no True
86 1 2 female 17.0 0 0 10.5 S Second woman False Southampton yes True
87 1 3 female 33.0 3 0 15.85 S Third woman False Southampton yes False
88 0 3 male 16.0 1 3 34.375 S Third man True Southampton no False
89 0 3 male 0 0 8.05 S Third man True Southampton no True
90 1 1 female 23.0 3 2 263.0 S First woman False C Southampton yes False
91 0 3 male 24.0 0 0 8.05 S Third man True Southampton no True
92 0 3 male 29.0 0 0 8.05 S Third man True Southampton no True
93 0 3 male 20.0 0 0 7.8542 S Third man True Southampton no True
94 0 1 male 46.0 1 0 61.175 S First man True E Southampton no False
95 0 3 male 26.0 1 2 20.575 S Third man True Southampton no False
96 0 3 male 59.0 0 0 7.25 S Third man True Southampton no True
97 0 3 male 0 0 8.05 S Third man True Southampton no True
98 0 1 male 71.0 0 0 34.6542 C First man True A Cherbourg no True
99 1 1 male 23.0 0 1 63.3583 C First man True D Cherbourg yes False
100 1 2 female 34.0 0 1 23.0 S Second woman False Southampton yes False
101 0 2 male 34.0 1 0 26.0 S Second man True Southampton no False
102 0 3 female 28.0 0 0 7.8958 S Third woman False Southampton no True
103 0 3 male 0 0 7.8958 S Third man True Southampton no True
104 0 1 male 21.0 0 1 77.2875 S First man True D Southampton no False
105 0 3 male 33.0 0 0 8.6542 S Third man True Southampton no True
106 0 3 male 37.0 2 0 7.925 S Third man True Southampton no False
107 0 3 male 28.0 0 0 7.8958 S Third man True Southampton no True
108 1 3 female 21.0 0 0 7.65 S Third woman False Southampton yes True
109 1 3 male 0 0 7.775 S Third man True Southampton yes True
110 0 3 male 38.0 0 0 7.8958 S Third man True Southampton no True
111 1 3 female 1 0 24.15 Q Third woman False Queenstown yes False
112 0 1 male 47.0 0 0 52.0 S First man True C Southampton no True
113 0 3 female 14.5 1 0 14.4542 C Third child False Cherbourg no False
114 0 3 male 22.0 0 0 8.05 S Third man True Southampton no True
115 0 3 female 20.0 1 0 9.825 S Third woman False Southampton no False
116 0 3 female 17.0 0 0 14.4583 C Third woman False Cherbourg no True
117 0 3 male 21.0 0 0 7.925 S Third man True Southampton no True
118 0 3 male 70.5 0 0 7.75 Q Third man True Queenstown no True
119 0 2 male 29.0 1 0 21.0 S Second man True Southampton no False
120 0 1 male 24.0 0 1 247.5208 C First man True B Cherbourg no False
121 0 3 female 2.0 4 2 31.275 S Third child False Southampton no False
122 0 2 male 21.0 2 0 73.5 S Second man True Southampton no False
123 0 3 male 0 0 8.05 S Third man True Southampton no True
124 0 2 male 32.5 1 0 30.0708 C Second man True Cherbourg no False
125 1 2 female 32.5 0 0 13.0 S Second woman False E Southampton yes True
126 0 1 male 54.0 0 1 77.2875 S First man True D Southampton no False
127 1 3 male 12.0 1 0 11.2417 C Third child False Cherbourg yes False
128 0 3 male 0 0 7.75 Q Third man True Queenstown no True
129 1 3 male 24.0 0 0 7.1417 S Third man True Southampton yes True
130 1 3 female 1 1 22.3583 C Third woman False F Cherbourg yes False
131 0 3 male 45.0 0 0 6.975 S Third man True Southampton no True
132 0 3 male 33.0 0 0 7.8958 C Third man True Cherbourg no True
133 0 3 male 20.0 0 0 7.05 S Third man True Southampton no True
134 0 3 female 47.0 1 0 14.5 S Third woman False Southampton no False
135 1 2 female 29.0 1 0 26.0 S Second woman False Southampton yes False
136 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
137 0 2 male 23.0 0 0 15.0458 C Second man True Cherbourg no True
138 1 1 female 19.0 0 2 26.2833 S First woman False D Southampton yes False
139 0 1 male 37.0 1 0 53.1 S First man True C Southampton no False
140 0 3 male 16.0 0 0 9.2167 S Third man True Southampton no True
141 0 1 male 24.0 0 0 79.2 C First man True B Cherbourg no True
142 0 3 female 0 2 15.2458 C Third woman False Cherbourg no False
143 1 3 female 22.0 0 0 7.75 S Third woman False Southampton yes True
144 1 3 female 24.0 1 0 15.85 S Third woman False Southampton yes False
145 0 3 male 19.0 0 0 6.75 Q Third man True Queenstown no True
146 0 2 male 18.0 0 0 11.5 S Second man True Southampton no True
147 0 2 male 19.0 1 1 36.75 S Second man True Southampton no False
148 1 3 male 27.0 0 0 7.7958 S Third man True Southampton yes True
149 0 3 female 9.0 2 2 34.375 S Third child False Southampton no False
150 0 2 male 36.5 0 2 26.0 S Second man True F Southampton no False
151 0 2 male 42.0 0 0 13.0 S Second man True Southampton no True
152 0 2 male 51.0 0 0 12.525 S Second man True Southampton no True
153 1 1 female 22.0 1 0 66.6 S First woman False C Southampton yes False
154 0 3 male 55.5 0 0 8.05 S Third man True Southampton no True
155 0 3 male 40.5 0 2 14.5 S Third man True Southampton no False
156 0 3 male 0 0 7.3125 S Third man True Southampton no True
157 0 1 male 51.0 0 1 61.3792 C First man True Cherbourg no False
158 1 3 female 16.0 0 0 7.7333 Q Third woman False Queenstown yes True
159 0 3 male 30.0 0 0 8.05 S Third man True Southampton no True
160 0 3 male 0 0 8.6625 S Third man True Southampton no True
161 0 3 male 8 2 69.55 S Third man True Southampton no False
162 0 3 male 44.0 0 1 16.1 S Third man True Southampton no False
163 1 2 female 40.0 0 0 15.75 S Second woman False Southampton yes True
164 0 3 male 26.0 0 0 7.775 S Third man True Southampton no True
165 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
166 0 3 male 1.0 4 1 39.6875 S Third child False Southampton no False
167 1 3 male 9.0 0 2 20.525 S Third child False Southampton yes False
168 1 1 female 0 1 55.0 S First woman False E Southampton yes False
169 0 3 female 45.0 1 4 27.9 S Third woman False Southampton no False
170 0 1 male 0 0 25.925 S First man True Southampton no True
171 0 3 male 28.0 0 0 56.4958 S Third man True Southampton no True
172 0 1 male 61.0 0 0 33.5 S First man True B Southampton no True
173 0 3 male 4.0 4 1 29.125 Q Third child False Queenstown no False
174 1 3 female 1.0 1 1 11.1333 S Third child False Southampton yes False
175 0 3 male 21.0 0 0 7.925 S Third man True Southampton no True
176 0 1 male 56.0 0 0 30.6958 C First man True A Cherbourg no True
177 0 3 male 18.0 1 1 7.8542 S Third man True Southampton no False
178 0 3 male 3 1 25.4667 S Third man True Southampton no False
179 0 1 female 50.0 0 0 28.7125 C First woman False C Cherbourg no True
180 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
181 0 3 male 36.0 0 0 0.0 S Third man True Southampton no True
182 0 3 female 8 2 69.55 S Third woman False Southampton no False
183 0 2 male 0 0 15.05 C Second man True Cherbourg no True
184 0 3 male 9.0 4 2 31.3875 S Third child False Southampton no False
185 1 2 male 1.0 2 1 39.0 S Second child False F Southampton yes False
186 1 3 female 4.0 0 2 22.025 S Third child False Southampton yes False
187 0 1 male 0 0 50.0 S First man True A Southampton no True
188 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
189 1 1 male 45.0 0 0 26.55 S First man True Southampton yes True
190 0 3 male 40.0 1 1 15.5 Q Third man True Queenstown no False
191 0 3 male 36.0 0 0 7.8958 S Third man True Southampton no True
192 1 2 female 32.0 0 0 13.0 S Second woman False Southampton yes True
193 0 2 male 19.0 0 0 13.0 S Second man True Southampton no True
194 1 3 female 19.0 1 0 7.8542 S Third woman False Southampton yes False
195 1 2 male 3.0 1 1 26.0 S Second child False F Southampton yes False
196 1 1 female 44.0 0 0 27.7208 C First woman False B Cherbourg yes True
197 1 1 female 58.0 0 0 146.5208 C First woman False B Cherbourg yes True
198 0 3 male 0 0 7.75 Q Third man True Queenstown no True
199 0 3 male 42.0 0 1 8.4042 S Third man True Southampton no False
200 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
201 0 2 female 24.0 0 0 13.0 S Second woman False Southampton no True
202 0 3 male 28.0 0 0 9.5 S Third man True Southampton no True
203 0 3 male 8 2 69.55 S Third man True Southampton no False
204 0 3 male 34.0 0 0 6.4958 S Third man True Southampton no True
205 0 3 male 45.5 0 0 7.225 C Third man True Cherbourg no True
206 1 3 male 18.0 0 0 8.05 S Third man True Southampton yes True
207 0 3 female 2.0 0 1 10.4625 S Third child False G Southampton no False
208 0 3 male 32.0 1 0 15.85 S Third man True Southampton no False
209 1 3 male 26.0 0 0 18.7875 C Third man True Cherbourg yes True
210 1 3 female 16.0 0 0 7.75 Q Third woman False Queenstown yes True
211 1 1 male 40.0 0 0 31.0 C First man True A Cherbourg yes True
212 0 3 male 24.0 0 0 7.05 S Third man True Southampton no True
213 1 2 female 35.0 0 0 21.0 S Second woman False Southampton yes True
214 0 3 male 22.0 0 0 7.25 S Third man True Southampton no True
215 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
216 0 3 male 1 0 7.75 Q Third man True Queenstown no False
217 1 1 female 31.0 1 0 113.275 C First woman False D Cherbourg yes False
218 1 3 female 27.0 0 0 7.925 S Third woman False Southampton yes True
219 0 2 male 42.0 1 0 27.0 S Second man True Southampton no False
220 1 1 female 32.0 0 0 76.2917 C First woman False D Cherbourg yes True
221 0 2 male 30.0 0 0 10.5 S Second man True Southampton no True
222 1 3 male 16.0 0 0 8.05 S Third man True Southampton yes True
223 0 2 male 27.0 0 0 13.0 S Second man True Southampton no True
224 0 3 male 51.0 0 0 8.05 S Third man True Southampton no True
225 0 3 male 0 0 7.8958 S Third man True Southampton no True
226 1 1 male 38.0 1 0 90.0 S First man True C Southampton yes False
227 0 3 male 22.0 0 0 9.35 S Third man True Southampton no True
228 1 2 male 19.0 0 0 10.5 S Second man True Southampton yes True
229 0 3 male 20.5 0 0 7.25 S Third man True Southampton no True
230 0 2 male 18.0 0 0 13.0 S Second man True Southampton no True
231 0 3 female 3 1 25.4667 S Third woman False Southampton no False
232 1 1 female 35.0 1 0 83.475 S First woman False C Southampton yes False
233 0 3 male 29.0 0 0 7.775 S Third man True Southampton no True
234 0 2 male 59.0 0 0 13.5 S Second man True Southampton no True
235 1 3 female 5.0 4 2 31.3875 S Third child False Southampton yes False
236 0 2 male 24.0 0 0 10.5 S Second man True Southampton no True
237 0 3 female 0 0 7.55 S Third woman False Southampton no True
238 0 2 male 44.0 1 0 26.0 S Second man True Southampton no False
239 1 2 female 8.0 0 2 26.25 S Second child False Southampton yes False
240 0 2 male 19.0 0 0 10.5 S Second man True Southampton no True
241 0 2 male 33.0 0 0 12.275 S Second man True Southampton no True
242 0 3 female 1 0 14.4542 C Third woman False Cherbourg no False
243 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
244 0 2 male 29.0 0 0 10.5 S Second man True Southampton no True
245 0 3 male 22.0 0 0 7.125 S Third man True Southampton no True
246 0 3 male 30.0 0 0 7.225 C Third man True Cherbourg no True
247 0 1 male 44.0 2 0 90.0 Q First man True C Queenstown no False
248 0 3 female 25.0 0 0 7.775 S Third woman False Southampton no True
249 1 2 female 24.0 0 2 14.5 S Second woman False Southampton yes False
250 1 1 male 37.0 1 1 52.5542 S First man True D Southampton yes False
251 0 2 male 54.0 1 0 26.0 S Second man True Southampton no False
252 0 3 male 0 0 7.25 S Third man True Southampton no True
253 0 3 female 29.0 1 1 10.4625 S Third woman False G Southampton no False
254 0 1 male 62.0 0 0 26.55 S First man True C Southampton no True
255 0 3 male 30.0 1 0 16.1 S Third man True Southampton no False
256 0 3 female 41.0 0 2 20.2125 S Third woman False Southampton no False
257 1 3 female 29.0 0 2 15.2458 C Third woman False Cherbourg yes False
258 1 1 female 0 0 79.2 C First woman False Cherbourg yes True
259 1 1 female 30.0 0 0 86.5 S First woman False B Southampton yes True
260 1 1 female 35.0 0 0 512.3292 C First woman False Cherbourg yes True
261 1 2 female 50.0 0 1 26.0 S Second woman False Southampton yes False
262 0 3 male 0 0 7.75 Q Third man True Queenstown no True
263 1 3 male 3.0 4 2 31.3875 S Third child False Southampton yes False
264 0 1 male 52.0 1 1 79.65 S First man True E Southampton no False
265 0 1 male 40.0 0 0 0.0 S First man True B Southampton no True
266 0 3 female 0 0 7.75 Q Third woman False Queenstown no True
267 0 2 male 36.0 0 0 10.5 S Second man True Southampton no True
268 0 3 male 16.0 4 1 39.6875 S Third man True Southampton no False
269 1 3 male 25.0 1 0 7.775 S Third man True Southampton yes False
270 1 1 female 58.0 0 1 153.4625 S First woman False C Southampton yes False
271 1 1 female 35.0 0 0 135.6333 S First woman False C Southampton yes True
272 0 1 male 0 0 31.0 S First man True Southampton no True
273 1 3 male 25.0 0 0 0.0 S Third man True Southampton yes True
274 1 2 female 41.0 0 1 19.5 S Second woman False Southampton yes False
275 0 1 male 37.0 0 1 29.7 C First man True C Cherbourg no False
276 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
277 1 1 female 63.0 1 0 77.9583 S First woman False D Southampton yes False
278 0 3 female 45.0 0 0 7.75 S Third woman False Southampton no True
279 0 2 male 0 0 0.0 S Second man True Southampton no True
280 0 3 male 7.0 4 1 29.125 Q Third child False Queenstown no False
281 1 3 female 35.0 1 1 20.25 S Third woman False Southampton yes False
282 0 3 male 65.0 0 0 7.75 Q Third man True Queenstown no True
283 0 3 male 28.0 0 0 7.8542 S Third man True Southampton no True
284 0 3 male 16.0 0 0 9.5 S Third man True Southampton no True
285 1 3 male 19.0 0 0 8.05 S Third man True Southampton yes True
286 0 1 male 0 0 26.0 S First man True A Southampton no True
287 0 3 male 33.0 0 0 8.6625 C Third man True Cherbourg no True
288 1 3 male 30.0 0 0 9.5 S Third man True Southampton yes True
289 0 3 male 22.0 0 0 7.8958 S Third man True Southampton no True
290 1 2 male 42.0 0 0 13.0 S Second man True Southampton yes True
291 1 3 female 22.0 0 0 7.75 Q Third woman False Queenstown yes True
292 1 1 female 26.0 0 0 78.85 S First woman False Southampton yes True
293 1 1 female 19.0 1 0 91.0792 C First woman False B Cherbourg yes False
294 0 2 male 36.0 0 0 12.875 C Second man True D Cherbourg no True
295 0 3 female 24.0 0 0 8.85 S Third woman False Southampton no True
296 0 3 male 24.0 0 0 7.8958 S Third man True Southampton no True
297 0 1 male 0 0 27.7208 C First man True Cherbourg no True
298 0 3 male 23.5 0 0 7.2292 C Third man True Cherbourg no True
299 0 1 female 2.0 1 2 151.55 S First child False C Southampton no False
300 1 1 male 0 0 30.5 S First man True C Southampton yes True
301 1 1 female 50.0 0 1 247.5208 C First woman False B Cherbourg yes False
302 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
303 1 3 male 2 0 23.25 Q Third man True Queenstown yes False
304 0 3 male 19.0 0 0 0.0 S Third man True Southampton no True
305 1 2 female 0 0 12.35 Q Second woman False E Queenstown yes True
306 0 3 male 0 0 8.05 S Third man True Southampton no True
307 1 1 male 0.92 1 2 151.55 S First child False C Southampton yes False
308 1 1 female 0 0 110.8833 C First woman False Cherbourg yes True
309 1 1 female 17.0 1 0 108.9 C First woman False C Cherbourg yes False
310 0 2 male 30.0 1 0 24.0 C Second man True Cherbourg no False
311 1 1 female 30.0 0 0 56.9292 C First woman False E Cherbourg yes True
312 1 1 female 24.0 0 0 83.1583 C First woman False C Cherbourg yes True
313 1 1 female 18.0 2 2 262.375 C First woman False B Cherbourg yes False
314 0 2 female 26.0 1 1 26.0 S Second woman False Southampton no False
315 0 3 male 28.0 0 0 7.8958 S Third man True Southampton no True
316 0 2 male 43.0 1 1 26.25 S Second man True Southampton no False
317 1 3 female 26.0 0 0 7.8542 S Third woman False Southampton yes True
318 1 2 female 24.0 1 0 26.0 S Second woman False Southampton yes False
319 0 2 male 54.0 0 0 14.0 S Second man True Southampton no True
320 1 1 female 31.0 0 2 164.8667 S First woman False C Southampton yes False
321 1 1 female 40.0 1 1 134.5 C First woman False E Cherbourg yes False
322 0 3 male 22.0 0 0 7.25 S Third man True Southampton no True
323 0 3 male 27.0 0 0 7.8958 S Third man True Southampton no True
324 1 2 female 30.0 0 0 12.35 Q Second woman False Queenstown yes True
325 1 2 female 22.0 1 1 29.0 S Second woman False Southampton yes False
326 0 3 male 8 2 69.55 S Third man True Southampton no False
327 1 1 female 36.0 0 0 135.6333 C First woman False C Cherbourg yes True
328 0 3 male 61.0 0 0 6.2375 S Third man True Southampton no True
329 1 2 female 36.0 0 0 13.0 S Second woman False D Southampton yes True
330 1 3 female 31.0 1 1 20.525 S Third woman False Southampton yes False
331 1 1 female 16.0 0 1 57.9792 C First woman False B Cherbourg yes False
332 1 3 female 2 0 23.25 Q Third woman False Queenstown yes False
333 0 1 male 45.5 0 0 28.5 S First man True C Southampton no True
334 0 1 male 38.0 0 1 153.4625 S First man True C Southampton no False
335 0 3 male 16.0 2 0 18.0 S Third man True Southampton no False
336 1 1 female 1 0 133.65 S First woman False Southampton yes False
337 0 3 male 0 0 7.8958 S Third man True Southampton no True
338 0 1 male 29.0 1 0 66.6 S First man True C Southampton no False
339 1 1 female 41.0 0 0 134.5 C First woman False E Cherbourg yes True
340 1 3 male 45.0 0 0 8.05 S Third man True Southampton yes True
341 0 1 male 45.0 0 0 35.5 S First man True Southampton no True
342 1 2 male 2.0 1 1 26.0 S Second child False F Southampton yes False
343 1 1 female 24.0 3 2 263.0 S First woman False C Southampton yes False
344 0 2 male 28.0 0 0 13.0 S Second man True Southampton no True
345 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
346 0 2 male 36.0 0 0 13.0 S Second man True Southampton no True
347 1 2 female 24.0 0 0 13.0 S Second woman False F Southampton yes True
348 1 2 female 40.0 0 0 13.0 S Second woman False Southampton yes True
349 1 3 female 1 0 16.1 S Third woman False Southampton yes False
350 1 3 male 3.0 1 1 15.9 S Third child False Southampton yes False
351 0 3 male 42.0 0 0 8.6625 S Third man True Southampton no True
352 0 3 male 23.0 0 0 9.225 S Third man True Southampton no True
353 0 1 male 0 0 35.0 S First man True C Southampton no True
354 0 3 male 15.0 1 1 7.2292 C Third child False Cherbourg no False
355 0 3 male 25.0 1 0 17.8 S Third man True Southampton no False
356 0 3 male 0 0 7.225 C Third man True Cherbourg no True
357 0 3 male 28.0 0 0 9.5 S Third man True Southampton no True
358 1 1 female 22.0 0 1 55.0 S First woman False E Southampton yes False
359 0 2 female 38.0 0 0 13.0 S Second woman False Southampton no True
360 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
361 1 3 female 0 0 7.8792 Q Third woman False Queenstown yes True
362 0 3 male 40.0 1 4 27.9 S Third man True Southampton no False
363 0 2 male 29.0 1 0 27.7208 C Second man True Cherbourg no False
364 0 3 female 45.0 0 1 14.4542 C Third woman False Cherbourg no False
365 0 3 male 35.0 0 0 7.05 S Third man True Southampton no True
366 0 3 male 1 0 15.5 Q Third man True Queenstown no False
367 0 3 male 30.0 0 0 7.25 S Third man True Southampton no True
368 1 1 female 60.0 1 0 75.25 C First woman False D Cherbourg yes False
369 1 3 female 0 0 7.2292 C Third woman False Cherbourg yes True
370 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
371 1 1 female 24.0 0 0 69.3 C First woman False B Cherbourg yes True
372 1 1 male 25.0 1 0 55.4417 C First man True E Cherbourg yes False
373 0 3 male 18.0 1 0 6.4958 S Third man True Southampton no False
374 0 3 male 19.0 0 0 8.05 S Third man True Southampton no True
375 0 1 male 22.0 0 0 135.6333 C First man True Cherbourg no True
376 0 3 female 3.0 3 1 21.075 S Third child False Southampton no False
377 1 1 female 1 0 82.1708 C First woman False Cherbourg yes False
378 1 3 female 22.0 0 0 7.25 S Third woman False Southampton yes True
379 0 1 male 27.0 0 2 211.5 C First man True C Cherbourg no False
380 0 3 male 20.0 0 0 4.0125 C Third man True Cherbourg no True
381 0 3 male 19.0 0 0 7.775 S Third man True Southampton no True
382 1 1 female 42.0 0 0 227.525 C First woman False Cherbourg yes True
383 1 3 female 1.0 0 2 15.7417 C Third child False Cherbourg yes False
384 0 3 male 32.0 0 0 7.925 S Third man True Southampton no True
385 1 1 female 35.0 1 0 52.0 S First woman False Southampton yes False
386 0 3 male 0 0 7.8958 S Third man True Southampton no True
387 0 2 male 18.0 0 0 73.5 S Second man True Southampton no True
388 0 3 male 1.0 5 2 46.9 S Third child False Southampton no False
389 1 2 female 36.0 0 0 13.0 S Second woman False Southampton yes True
390 0 3 male 0 0 7.7292 Q Third man True Queenstown no True
391 1 2 female 17.0 0 0 12.0 C Second woman False Cherbourg yes True
392 1 1 male 36.0 1 2 120.0 S First man True B Southampton yes False
393 1 3 male 21.0 0 0 7.7958 S Third man True Southampton yes True
394 0 3 male 28.0 2 0 7.925 S Third man True Southampton no False
395 1 1 female 23.0 1 0 113.275 C First woman False D Cherbourg yes False
396 1 3 female 24.0 0 2 16.7 S Third woman False G Southampton yes False
397 0 3 male 22.0 0 0 7.7958 S Third man True Southampton no True
398 0 3 female 31.0 0 0 7.8542 S Third woman False Southampton no True
399 0 2 male 46.0 0 0 26.0 S Second man True Southampton no True
400 0 2 male 23.0 0 0 10.5 S Second man True Southampton no True
401 1 2 female 28.0 0 0 12.65 S Second woman False Southampton yes True
402 1 3 male 39.0 0 0 7.925 S Third man True Southampton yes True
403 0 3 male 26.0 0 0 8.05 S Third man True Southampton no True
404 0 3 female 21.0 1 0 9.825 S Third woman False Southampton no False
405 0 3 male 28.0 1 0 15.85 S Third man True Southampton no False
406 0 3 female 20.0 0 0 8.6625 S Third woman False Southampton no True
407 0 2 male 34.0 1 0 21.0 S Second man True Southampton no False
408 0 3 male 51.0 0 0 7.75 S Third man True Southampton no True
409 1 2 male 3.0 1 1 18.75 S Second child False Southampton yes False
410 0 3 male 21.0 0 0 7.775 S Third man True Southampton no True
411 0 3 female 3 1 25.4667 S Third woman False Southampton no False
412 0 3 male 0 0 7.8958 S Third man True Southampton no True
413 0 3 male 0 0 6.8583 Q Third man True Queenstown no True
414 1 1 female 33.0 1 0 90.0 Q First woman False C Queenstown yes False
415 0 2 male 0 0 0.0 S Second man True Southampton no True
416 1 3 male 44.0 0 0 7.925 S Third man True Southampton yes True
417 0 3 female 0 0 8.05 S Third woman False Southampton no True
418 1 2 female 34.0 1 1 32.5 S Second woman False Southampton yes False
419 1 2 female 18.0 0 2 13.0 S Second woman False Southampton yes False
420 0 2 male 30.0 0 0 13.0 S Second man True Southampton no True
421 0 3 female 10.0 0 2 24.15 S Third child False Southampton no False
422 0 3 male 0 0 7.8958 C Third man True Cherbourg no True
423 0 3 male 21.0 0 0 7.7333 Q Third man True Queenstown no True
424 0 3 male 29.0 0 0 7.875 S Third man True Southampton no True
425 0 3 female 28.0 1 1 14.4 S Third woman False Southampton no False
426 0 3 male 18.0 1 1 20.2125 S Third man True Southampton no False
427 0 3 male 0 0 7.25 S Third man True Southampton no True
428 1 2 female 28.0 1 0 26.0 S Second woman False Southampton yes False
429 1 2 female 19.0 0 0 26.0 S Second woman False Southampton yes True
430 0 3 male 0 0 7.75 Q Third man True Queenstown no True
431 1 3 male 32.0 0 0 8.05 S Third man True E Southampton yes True
432 1 1 male 28.0 0 0 26.55 S First man True C Southampton yes True
433 1 3 female 1 0 16.1 S Third woman False Southampton yes False
434 1 2 female 42.0 1 0 26.0 S Second woman False Southampton yes False
435 0 3 male 17.0 0 0 7.125 S Third man True Southampton no True
436 0 1 male 50.0 1 0 55.9 S First man True E Southampton no False
437 1 1 female 14.0 1 2 120.0 S First child False B Southampton yes False
438 0 3 female 21.0 2 2 34.375 S Third woman False Southampton no False
439 1 2 female 24.0 2 3 18.75 S Second woman False Southampton yes False
440 0 1 male 64.0 1 4 263.0 S First man True C Southampton no False
441 0 2 male 31.0 0 0 10.5 S Second man True Southampton no True
442 1 2 female 45.0 1 1 26.25 S Second woman False Southampton yes False
443 0 3 male 20.0 0 0 9.5 S Third man True Southampton no True
444 0 3 male 25.0 1 0 7.775 S Third man True Southampton no False
445 1 2 female 28.0 0 0 13.0 S Second woman False Southampton yes True
446 1 3 male 0 0 8.1125 S Third man True Southampton yes True
447 1 1 male 4.0 0 2 81.8583 S First child False A Southampton yes False
448 1 2 female 13.0 0 1 19.5 S Second child False Southampton yes False
449 1 1 male 34.0 0 0 26.55 S First man True Southampton yes True
450 1 3 female 5.0 2 1 19.2583 C Third child False Cherbourg yes False
451 1 1 male 52.0 0 0 30.5 S First man True C Southampton yes True
452 0 2 male 36.0 1 2 27.75 S Second man True Southampton no False
453 0 3 male 1 0 19.9667 S Third man True Southampton no False
454 0 1 male 30.0 0 0 27.75 C First man True C Cherbourg no True
455 1 1 male 49.0 1 0 89.1042 C First man True C Cherbourg yes False
456 0 3 male 0 0 8.05 S Third man True Southampton no True
457 1 3 male 29.0 0 0 7.8958 C Third man True Cherbourg yes True
458 0 1 male 65.0 0 0 26.55 S First man True E Southampton no True
459 1 1 female 1 0 51.8625 S First woman False D Southampton yes False
460 1 2 female 50.0 0 0 10.5 S Second woman False Southampton yes True
461 0 3 male 0 0 7.75 Q Third man True Queenstown no True
462 1 1 male 48.0 0 0 26.55 S First man True E Southampton yes True
463 0 3 male 34.0 0 0 8.05 S Third man True Southampton no True
464 0 1 male 47.0 0 0 38.5 S First man True E Southampton no True
465 0 2 male 48.0 0 0 13.0 S Second man True Southampton no True
466 0 3 male 0 0 8.05 S Third man True Southampton no True
467 0 3 male 38.0 0 0 7.05 S Third man True Southampton no True
468 0 2 male 0 0 0.0 S Second man True Southampton no True
469 0 1 male 56.0 0 0 26.55 S First man True Southampton no True
470 0 3 male 0 0 7.725 Q Third man True Queenstown no True
471 1 3 female 0.75 2 1 19.2583 C Third child False Cherbourg yes False
472 0 3 male 0 0 7.25 S Third man True Southampton no True
473 0 3 male 38.0 0 0 8.6625 S Third man True Southampton no True
474 1 2 female 33.0 1 2 27.75 S Second woman False Southampton yes False
475 1 2 female 23.0 0 0 13.7917 C Second woman False D Cherbourg yes True
476 0 3 female 22.0 0 0 9.8375 S Third woman False Southampton no True
477 0 1 male 0 0 52.0 S First man True A Southampton no True
478 0 2 male 34.0 1 0 21.0 S Second man True Southampton no False
479 0 3 male 29.0 1 0 7.0458 S Third man True Southampton no False
480 0 3 male 22.0 0 0 7.5208 S Third man True Southampton no True
481 1 3 female 2.0 0 1 12.2875 S Third child False Southampton yes False
482 0 3 male 9.0 5 2 46.9 S Third child False Southampton no False
483 0 2 male 0 0 0.0 S Second man True Southampton no True
484 0 3 male 50.0 0 0 8.05 S Third man True Southampton no True
485 1 3 female 63.0 0 0 9.5875 S Third woman False Southampton yes True
486 1 1 male 25.0 1 0 91.0792 C First man True B Cherbourg yes False
487 0 3 female 3 1 25.4667 S Third woman False Southampton no False
488 1 1 female 35.0 1 0 90.0 S First woman False C Southampton yes False
489 0 1 male 58.0 0 0 29.7 C First man True B Cherbourg no True
490 0 3 male 30.0 0 0 8.05 S Third man True Southampton no True
491 1 3 male 9.0 1 1 15.9 S Third child False Southampton yes False
492 0 3 male 1 0 19.9667 S Third man True Southampton no False
493 0 3 male 21.0 0 0 7.25 S Third man True Southampton no True
494 0 1 male 55.0 0 0 30.5 S First man True C Southampton no True
495 0 1 male 71.0 0 0 49.5042 C First man True Cherbourg no True
496 0 3 male 21.0 0 0 8.05 S Third man True Southampton no True
497 0 3 male 0 0 14.4583 C Third man True Cherbourg no True
498 1 1 female 54.0 1 0 78.2667 C First woman False D Cherbourg yes False
499 0 3 male 0 0 15.1 S Third man True Southampton no True
500 0 1 female 25.0 1 2 151.55 S First woman False C Southampton no False
501 0 3 male 24.0 0 0 7.7958 S Third man True Southampton no True
502 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
503 0 3 female 21.0 0 0 7.75 Q Third woman False Queenstown no True
504 0 3 female 0 0 7.6292 Q Third woman False Queenstown no True
505 0 3 female 37.0 0 0 9.5875 S Third woman False Southampton no True
506 1 1 female 16.0 0 0 86.5 S First woman False B Southampton yes True
507 0 1 male 18.0 1 0 108.9 C First man True C Cherbourg no False
508 1 2 female 33.0 0 2 26.0 S Second woman False Southampton yes False
509 1 1 male 0 0 26.55 S First man True Southampton yes True
510 0 3 male 28.0 0 0 22.525 S Third man True Southampton no True
511 1 3 male 26.0 0 0 56.4958 S Third man True Southampton yes True
512 1 3 male 29.0 0 0 7.75 Q Third man True Queenstown yes True
513 0 3 male 0 0 8.05 S Third man True Southampton no True
514 1 1 male 36.0 0 0 26.2875 S First man True E Southampton yes True
515 1 1 female 54.0 1 0 59.4 C First woman False Cherbourg yes False
516 0 3 male 24.0 0 0 7.4958 S Third man True Southampton no True
517 0 1 male 47.0 0 0 34.0208 S First man True D Southampton no True
518 1 2 female 34.0 0 0 10.5 S Second woman False F Southampton yes True
519 0 3 male 0 0 24.15 Q Third man True Queenstown no True
520 1 2 female 36.0 1 0 26.0 S Second woman False Southampton yes False
521 0 3 male 32.0 0 0 7.8958 S Third man True Southampton no True
522 1 1 female 30.0 0 0 93.5 S First woman False B Southampton yes True
523 0 3 male 22.0 0 0 7.8958 S Third man True Southampton no True
524 0 3 male 0 0 7.225 C Third man True Cherbourg no True
525 1 1 female 44.0 0 1 57.9792 C First woman False B Cherbourg yes False
526 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
527 0 3 male 40.5 0 0 7.75 Q Third man True Queenstown no True
528 1 2 female 50.0 0 0 10.5 S Second woman False Southampton yes True
529 0 1 male 0 0 221.7792 S First man True C Southampton no True
530 0 3 male 39.0 0 0 7.925 S Third man True Southampton no True
531 0 2 male 23.0 2 1 11.5 S Second man True Southampton no False
532 1 2 female 2.0 1 1 26.0 S Second child False Southampton yes False
533 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
534 0 3 male 17.0 1 1 7.2292 C Third man True Cherbourg no False
535 1 3 female 0 2 22.3583 C Third woman False Cherbourg yes False
536 0 3 female 30.0 0 0 8.6625 S Third woman False Southampton no True
537 1 2 female 7.0 0 2 26.25 S Second child False Southampton yes False
538 0 1 male 45.0 0 0 26.55 S First man True B Southampton no True
539 1 1 female 30.0 0 0 106.425 C First woman False Cherbourg yes True
540 0 3 male 0 0 14.5 S Third man True Southampton no True
541 1 1 female 22.0 0 2 49.5 C First woman False B Cherbourg yes False
542 1 1 female 36.0 0 2 71.0 S First woman False B Southampton yes False
543 0 3 female 9.0 4 2 31.275 S Third child False Southampton no False
544 0 3 female 11.0 4 2 31.275 S Third child False Southampton no False
545 1 2 male 32.0 1 0 26.0 S Second man True Southampton yes False
546 0 1 male 50.0 1 0 106.425 C First man True C Cherbourg no False
547 0 1 male 64.0 0 0 26.0 S First man True Southampton no True
548 1 2 female 19.0 1 0 26.0 S Second woman False Southampton yes False
549 1 2 male 0 0 13.8625 C Second man True Cherbourg yes True
550 0 3 male 33.0 1 1 20.525 S Third man True Southampton no False
551 1 2 male 8.0 1 1 36.75 S Second child False Southampton yes False
552 1 1 male 17.0 0 2 110.8833 C First man True C Cherbourg yes False
553 0 2 male 27.0 0 0 26.0 S Second man True Southampton no True
554 0 3 male 0 0 7.8292 Q Third man True Queenstown no True
555 1 3 male 22.0 0 0 7.225 C Third man True Cherbourg yes True
556 1 3 female 22.0 0 0 7.775 S Third woman False Southampton yes True
557 0 1 male 62.0 0 0 26.55 S First man True Southampton no True
558 1 1 female 48.0 1 0 39.6 C First woman False A Cherbourg yes False
559 0 1 male 0 0 227.525 C First man True Cherbourg no True
560 1 1 female 39.0 1 1 79.65 S First woman False E Southampton yes False
561 1 3 female 36.0 1 0 17.4 S Third woman False Southampton yes False
562 0 3 male 0 0 7.75 Q Third man True Queenstown no True
563 0 3 male 40.0 0 0 7.8958 S Third man True Southampton no True
564 0 2 male 28.0 0 0 13.5 S Second man True Southampton no True
565 0 3 male 0 0 8.05 S Third man True Southampton no True
566 0 3 female 0 0 8.05 S Third woman False Southampton no True
567 0 3 male 24.0 2 0 24.15 S Third man True Southampton no False
568 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
569 0 3 female 29.0 0 4 21.075 S Third woman False Southampton no False
570 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
571 1 3 male 32.0 0 0 7.8542 S Third man True Southampton yes True
572 1 2 male 62.0 0 0 10.5 S Second man True Southampton yes True
573 1 1 female 53.0 2 0 51.4792 S First woman False C Southampton yes False
574 1 1 male 36.0 0 0 26.3875 S First man True E Southampton yes True
575 1 3 female 0 0 7.75 Q Third woman False Queenstown yes True
576 0 3 male 16.0 0 0 8.05 S Third man True Southampton no True
577 0 3 male 19.0 0 0 14.5 S Third man True Southampton no True
578 1 2 female 34.0 0 0 13.0 S Second woman False Southampton yes True
579 1 1 female 39.0 1 0 55.9 S First woman False E Southampton yes False
580 0 3 female 1 0 14.4583 C Third woman False Cherbourg no False
581 1 3 male 32.0 0 0 7.925 S Third man True Southampton yes True
582 1 2 female 25.0 1 1 30.0 S Second woman False Southampton yes False
583 1 1 female 39.0 1 1 110.8833 C First woman False C Cherbourg yes False
584 0 2 male 54.0 0 0 26.0 S Second man True Southampton no True
585 0 1 male 36.0 0 0 40.125 C First man True A Cherbourg no True
586 0 3 male 0 0 8.7125 C Third man True Cherbourg no True
587 1 1 female 18.0 0 2 79.65 S First woman False E Southampton yes False
588 0 2 male 47.0 0 0 15.0 S Second man True Southampton no True
589 1 1 male 60.0 1 1 79.2 C First man True B Cherbourg yes False
590 0 3 male 22.0 0 0 8.05 S Third man True Southampton no True
591 0 3 male 0 0 8.05 S Third man True Southampton no True
592 0 3 male 35.0 0 0 7.125 S Third man True Southampton no True
593 1 1 female 52.0 1 0 78.2667 C First woman False D Cherbourg yes False
594 0 3 male 47.0 0 0 7.25 S Third man True Southampton no True
595 0 3 female 0 2 7.75 Q Third woman False Queenstown no False
596 0 2 male 37.0 1 0 26.0 S Second man True Southampton no False
597 0 3 male 36.0 1 1 24.15 S Third man True Southampton no False
598 1 2 female 0 0 33.0 S Second woman False Southampton yes True
599 0 3 male 49.0 0 0 0.0 S Third man True Southampton no True
600 0 3 male 0 0 7.225 C Third man True Cherbourg no True
601 1 1 male 49.0 1 0 56.9292 C First man True A Cherbourg yes False
602 1 2 female 24.0 2 1 27.0 S Second woman False Southampton yes False
603 0 3 male 0 0 7.8958 S Third man True Southampton no True
604 0 1 male 0 0 42.4 S First man True Southampton no True
605 0 3 male 44.0 0 0 8.05 S Third man True Southampton no True
606 1 1 male 35.0 0 0 26.55 C First man True Cherbourg yes True
607 0 3 male 36.0 1 0 15.55 S Third man True Southampton no False
608 0 3 male 30.0 0 0 7.8958 S Third man True Southampton no True
609 1 1 male 27.0 0 0 30.5 S First man True Southampton yes True
610 1 2 female 22.0 1 2 41.5792 C Second woman False Cherbourg yes False
611 1 1 female 40.0 0 0 153.4625 S First woman False C Southampton yes True
612 0 3 female 39.0 1 5 31.275 S Third woman False Southampton no False
613 0 3 male 0 0 7.05 S Third man True Southampton no True
614 1 3 female 1 0 15.5 Q Third woman False Queenstown yes False
615 0 3 male 0 0 7.75 Q Third man True Queenstown no True
616 0 3 male 35.0 0 0 8.05 S Third man True Southampton no True
617 1 2 female 24.0 1 2 65.0 S Second woman False Southampton yes False
618 0 3 male 34.0 1 1 14.4 S Third man True Southampton no False
619 0 3 female 26.0 1 0 16.1 S Third woman False Southampton no False
620 1 2 female 4.0 2 1 39.0 S Second child False F Southampton yes False
621 0 2 male 26.0 0 0 10.5 S Second man True Southampton no True
622 0 3 male 27.0 1 0 14.4542 C Third man True Cherbourg no False
623 1 1 male 42.0 1 0 52.5542 S First man True D Southampton yes False
624 1 3 male 20.0 1 1 15.7417 C Third man True Cherbourg yes False
625 0 3 male 21.0 0 0 7.8542 S Third man True Southampton no True
626 0 3 male 21.0 0 0 16.1 S Third man True Southampton no True
627 0 1 male 61.0 0 0 32.3208 S First man True D Southampton no True
628 0 2 male 57.0 0 0 12.35 Q Second man True Queenstown no True
629 1 1 female 21.0 0 0 77.9583 S First woman False D Southampton yes True
630 0 3 male 26.0 0 0 7.8958 S Third man True Southampton no True
631 0 3 male 0 0 7.7333 Q Third man True Queenstown no True
632 1 1 male 80.0 0 0 30.0 S First man True A Southampton yes True
633 0 3 male 51.0 0 0 7.0542 S Third man True Southampton no True
634 1 1 male 32.0 0 0 30.5 C First man True B Cherbourg yes True
635 0 1 male 0 0 0.0 S First man True Southampton no True
636 0 3 female 9.0 3 2 27.9 S Third child False Southampton no False
637 1 2 female 28.0 0 0 13.0 S Second woman False Southampton yes True
638 0 3 male 32.0 0 0 7.925 S Third man True Southampton no True
639 0 2 male 31.0 1 1 26.25 S Second man True Southampton no False
640 0 3 female 41.0 0 5 39.6875 S Third woman False Southampton no False
641 0 3 male 1 0 16.1 S Third man True Southampton no False
642 0 3 male 20.0 0 0 7.8542 S Third man True Southampton no True
643 1 1 female 24.0 0 0 69.3 C First woman False B Cherbourg yes True
644 0 3 female 2.0 3 2 27.9 S Third child False Southampton no False
645 1 3 male 0 0 56.4958 S Third man True Southampton yes True
646 1 3 female 0.75 2 1 19.2583 C Third child False Cherbourg yes False
647 1 1 male 48.0 1 0 76.7292 C First man True D Cherbourg yes False
648 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
649 1 1 male 56.0 0 0 35.5 C First man True A Cherbourg yes True
650 0 3 male 0 0 7.55 S Third man True Southampton no True
651 1 3 female 23.0 0 0 7.55 S Third woman False Southampton yes True
652 0 3 male 0 0 7.8958 S Third man True Southampton no True
653 1 2 female 18.0 0 1 23.0 S Second woman False Southampton yes False
654 0 3 male 21.0 0 0 8.4333 S Third man True Southampton no True
655 1 3 female 0 0 7.8292 Q Third woman False Queenstown yes True
656 0 3 female 18.0 0 0 6.75 Q Third woman False Queenstown no True
657 0 2 male 24.0 2 0 73.5 S Second man True Southampton no False
658 0 3 male 0 0 7.8958 S Third man True Southampton no True
659 0 3 female 32.0 1 1 15.5 Q Third woman False Queenstown no False
660 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
661 0 1 male 58.0 0 2 113.275 C First man True D Cherbourg no False
662 1 1 male 50.0 2 0 133.65 S First man True Southampton yes False
663 0 3 male 40.0 0 0 7.225 C Third man True Cherbourg no True
664 0 1 male 47.0 0 0 25.5875 S First man True E Southampton no True
665 0 3 male 36.0 0 0 7.4958 S Third man True Southampton no True
666 1 3 male 20.0 1 0 7.925 S Third man True Southampton yes False
667 0 2 male 32.0 2 0 73.5 S Second man True Southampton no False
668 0 2 male 25.0 0 0 13.0 S Second man True Southampton no True
669 0 3 male 0 0 7.775 S Third man True Southampton no True
670 0 3 male 43.0 0 0 8.05 S Third man True Southampton no True
671 1 1 female 1 0 52.0 S First woman False C Southampton yes False
672 1 2 female 40.0 1 1 39.0 S Second woman False Southampton yes False
673 0 1 male 31.0 1 0 52.0 S First man True B Southampton no False
674 0 2 male 70.0 0 0 10.5 S Second man True Southampton no True
675 1 2 male 31.0 0 0 13.0 S Second man True Southampton yes True
676 0 2 male 0 0 0.0 S Second man True Southampton no True
677 0 3 male 18.0 0 0 7.775 S Third man True Southampton no True
678 0 3 male 24.5 0 0 8.05 S Third man True Southampton no True
679 1 3 female 18.0 0 0 9.8417 S Third woman False Southampton yes True
680 0 3 female 43.0 1 6 46.9 S Third woman False Southampton no False
681 1 1 male 36.0 0 1 512.3292 C First man True B Cherbourg yes False
682 0 3 female 0 0 8.1375 Q Third woman False Queenstown no True
683 1 1 male 27.0 0 0 76.7292 C First man True D Cherbourg yes True
684 0 3 male 20.0 0 0 9.225 S Third man True Southampton no True
685 0 3 male 14.0 5 2 46.9 S Third child False Southampton no False
686 0 2 male 60.0 1 1 39.0 S Second man True Southampton no False
687 0 2 male 25.0 1 2 41.5792 C Second man True Cherbourg no False
688 0 3 male 14.0 4 1 39.6875 S Third child False Southampton no False
689 0 3 male 19.0 0 0 10.1708 S Third man True Southampton no True
690 0 3 male 18.0 0 0 7.7958 S Third man True Southampton no True
691 1 1 female 15.0 0 1 211.3375 S First child False B Southampton yes False
692 1 1 male 31.0 1 0 57.0 S First man True B Southampton yes False
693 1 3 female 4.0 0 1 13.4167 C Third child False Cherbourg yes False
694 1 3 male 0 0 56.4958 S Third man True Southampton yes True
695 0 3 male 25.0 0 0 7.225 C Third man True Cherbourg no True
696 0 1 male 60.0 0 0 26.55 S First man True Southampton no True
697 0 2 male 52.0 0 0 13.5 S Second man True Southampton no True
698 0 3 male 44.0 0 0 8.05 S Third man True Southampton no True
699 1 3 female 0 0 7.7333 Q Third woman False Queenstown yes True
700 0 1 male 49.0 1 1 110.8833 C First man True C Cherbourg no False
701 0 3 male 42.0 0 0 7.65 S Third man True F Southampton no True
702 1 1 female 18.0 1 0 227.525 C First woman False C Cherbourg yes False
703 1 1 male 35.0 0 0 26.2875 S First man True E Southampton yes True
704 0 3 female 18.0 0 1 14.4542 C Third woman False Cherbourg no False
705 0 3 male 25.0 0 0 7.7417 Q Third man True Queenstown no True
706 0 3 male 26.0 1 0 7.8542 S Third man True Southampton no False
707 0 2 male 39.0 0 0 26.0 S Second man True Southampton no True
708 1 2 female 45.0 0 0 13.5 S Second woman False Southampton yes True
709 1 1 male 42.0 0 0 26.2875 S First man True E Southampton yes True
710 1 1 female 22.0 0 0 151.55 S First woman False Southampton yes True
711 1 3 male 1 1 15.2458 C Third man True Cherbourg yes False
712 1 1 female 24.0 0 0 49.5042 C First woman False C Cherbourg yes True
713 0 1 male 0 0 26.55 S First man True C Southampton no True
714 1 1 male 48.0 1 0 52.0 S First man True C Southampton yes False
715 0 3 male 29.0 0 0 9.4833 S Third man True Southampton no True
716 0 2 male 52.0 0 0 13.0 S Second man True Southampton no True
717 0 3 male 19.0 0 0 7.65 S Third man True F Southampton no True
718 1 1 female 38.0 0 0 227.525 C First woman False C Cherbourg yes True
719 1 2 female 27.0 0 0 10.5 S Second woman False E Southampton yes True
720 0 3 male 0 0 15.5 Q Third man True Queenstown no True
721 0 3 male 33.0 0 0 7.775 S Third man True Southampton no True
722 1 2 female 6.0 0 1 33.0 S Second child False Southampton yes False
723 0 3 male 17.0 1 0 7.0542 S Third man True Southampton no False
724 0 2 male 34.0 0 0 13.0 S Second man True Southampton no True
725 0 2 male 50.0 0 0 13.0 S Second man True Southampton no True
726 1 1 male 27.0 1 0 53.1 S First man True E Southampton yes False
727 0 3 male 20.0 0 0 8.6625 S Third man True Southampton no True
728 1 2 female 30.0 3 0 21.0 S Second woman False Southampton yes False
729 1 3 female 0 0 7.7375 Q Third woman False Queenstown yes True
730 0 2 male 25.0 1 0 26.0 S Second man True Southampton no False
731 0 3 female 25.0 1 0 7.925 S Third woman False Southampton no False
732 1 1 female 29.0 0 0 211.3375 S First woman False B Southampton yes True
733 0 3 male 11.0 0 0 18.7875 C Third child False Cherbourg no True
734 0 2 male 0 0 0.0 S Second man True Southampton no True
735 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
736 0 2 male 23.0 0 0 13.0 S Second man True Southampton no True
737 0 3 male 28.5 0 0 16.1 S Third man True Southampton no True
738 0 3 female 48.0 1 3 34.375 S Third woman False Southampton no False
739 1 1 male 35.0 0 0 512.3292 C First man True B Cherbourg yes True
740 0 3 male 0 0 7.8958 S Third man True Southampton no True
741 0 3 male 0 0 7.8958 S Third man True Southampton no True
742 1 1 male 0 0 30.0 S First man True D Southampton yes True
743 0 1 male 36.0 1 0 78.85 S First man True C Southampton no False
744 1 1 female 21.0 2 2 262.375 C First woman False B Cherbourg yes False
745 0 3 male 24.0 1 0 16.1 S Third man True Southampton no False
746 1 3 male 31.0 0 0 7.925 S Third man True Southampton yes True
747 0 1 male 70.0 1 1 71.0 S First man True B Southampton no False
748 0 3 male 16.0 1 1 20.25 S Third man True Southampton no False
749 1 2 female 30.0 0 0 13.0 S Second woman False Southampton yes True
750 0 1 male 19.0 1 0 53.1 S First man True D Southampton no False
751 0 3 male 31.0 0 0 7.75 Q Third man True Queenstown no True
752 1 2 female 4.0 1 1 23.0 S Second child False Southampton yes False
753 1 3 male 6.0 0 1 12.475 S Third child False E Southampton yes False
754 0 3 male 33.0 0 0 9.5 S Third man True Southampton no True
755 0 3 male 23.0 0 0 7.8958 S Third man True Southampton no True
756 1 2 female 48.0 1 2 65.0 S Second woman False Southampton yes False
757 1 2 male 0.67 1 1 14.5 S Second child False Southampton yes False
758 0 3 male 28.0 0 0 7.7958 S Third man True Southampton no True
759 0 2 male 18.0 0 0 11.5 S Second man True Southampton no True
760 0 3 male 34.0 0 0 8.05 S Third man True Southampton no True
761 1 1 female 33.0 0 0 86.5 S First woman False B Southampton yes True
762 0 3 male 0 0 14.5 S Third man True Southampton no True
763 0 3 male 41.0 0 0 7.125 S Third man True Southampton no True
764 1 3 male 20.0 0 0 7.2292 C Third man True Cherbourg yes True
765 1 1 female 36.0 1 2 120.0 S First woman False B Southampton yes False
766 0 3 male 16.0 0 0 7.775 S Third man True Southampton no True
767 1 1 female 51.0 1 0 77.9583 S First woman False D Southampton yes False
768 0 1 male 0 0 39.6 C First man True Cherbourg no True
769 0 3 female 30.5 0 0 7.75 Q Third woman False Queenstown no True
770 0 3 male 1 0 24.15 Q Third man True Queenstown no False
771 0 3 male 32.0 0 0 8.3625 S Third man True Southampton no True
772 0 3 male 24.0 0 0 9.5 S Third man True Southampton no True
773 0 3 male 48.0 0 0 7.8542 S Third man True Southampton no True
774 0 2 female 57.0 0 0 10.5 S Second woman False E Southampton no True
775 0 3 male 0 0 7.225 C Third man True Cherbourg no True
776 1 2 female 54.0 1 3 23.0 S Second woman False Southampton yes False
777 0 3 male 18.0 0 0 7.75 S Third man True Southampton no True
778 0 3 male 0 0 7.75 Q Third man True F Queenstown no True
779 1 3 female 5.0 0 0 12.475 S Third child False Southampton yes True
780 0 3 male 0 0 7.7375 Q Third man True Queenstown no True
781 1 1 female 43.0 0 1 211.3375 S First woman False B Southampton yes False
782 1 3 female 13.0 0 0 7.2292 C Third child False Cherbourg yes True
783 1 1 female 17.0 1 0 57.0 S First woman False B Southampton yes False
784 0 1 male 29.0 0 0 30.0 S First man True D Southampton no True
785 0 3 male 1 2 23.45 S Third man True Southampton no False
786 0 3 male 25.0 0 0 7.05 S Third man True Southampton no True
787 0 3 male 25.0 0 0 7.25 S Third man True Southampton no True
788 1 3 female 18.0 0 0 7.4958 S Third woman False Southampton yes True
789 0 3 male 8.0 4 1 29.125 Q Third child False Queenstown no False
790 1 3 male 1.0 1 2 20.575 S Third child False Southampton yes False
791 0 1 male 46.0 0 0 79.2 C First man True B Cherbourg no True
792 0 3 male 0 0 7.75 Q Third man True Queenstown no True
793 0 2 male 16.0 0 0 26.0 S Second man True Southampton no True
794 0 3 female 8 2 69.55 S Third woman False Southampton no False
795 0 1 male 0 0 30.6958 C First man True Cherbourg no True
796 0 3 male 25.0 0 0 7.8958 S Third man True Southampton no True
797 0 2 male 39.0 0 0 13.0 S Second man True Southampton no True
798 1 1 female 49.0 0 0 25.9292 S First woman False D Southampton yes True
799 1 3 female 31.0 0 0 8.6833 S Third woman False Southampton yes True
800 0 3 male 30.0 0 0 7.2292 C Third man True Cherbourg no True
801 0 3 female 30.0 1 1 24.15 S Third woman False Southampton no False
802 0 2 male 34.0 0 0 13.0 S Second man True Southampton no True
803 1 2 female 31.0 1 1 26.25 S Second woman False Southampton yes False
804 1 1 male 11.0 1 2 120.0 S First child False B Southampton yes False
805 1 3 male 0.42 0 1 8.5167 C Third child False Cherbourg yes False
806 1 3 male 27.0 0 0 6.975 S Third man True Southampton yes True
807 0 3 male 31.0 0 0 7.775 S Third man True Southampton no True
808 0 1 male 39.0 0 0 0.0 S First man True A Southampton no True
809 0 3 female 18.0 0 0 7.775 S Third woman False Southampton no True
810 0 2 male 39.0 0 0 13.0 S Second man True Southampton no True
811 1 1 female 33.0 1 0 53.1 S First woman False E Southampton yes False
812 0 3 male 26.0 0 0 7.8875 S Third man True Southampton no True
813 0 3 male 39.0 0 0 24.15 S Third man True Southampton no True
814 0 2 male 35.0 0 0 10.5 S Second man True Southampton no True
815 0 3 female 6.0 4 2 31.275 S Third child False Southampton no False
816 0 3 male 30.5 0 0 8.05 S Third man True Southampton no True
817 0 1 male 0 0 0.0 S First man True B Southampton no True
818 0 3 female 23.0 0 0 7.925 S Third woman False Southampton no True
819 0 2 male 31.0 1 1 37.0042 C Second man True Cherbourg no False
820 0 3 male 43.0 0 0 6.45 S Third man True Southampton no True
821 0 3 male 10.0 3 2 27.9 S Third child False Southampton no False
822 1 1 female 52.0 1 1 93.5 S First woman False B Southampton yes False
823 1 3 male 27.0 0 0 8.6625 S Third man True Southampton yes True
824 0 1 male 38.0 0 0 0.0 S First man True Southampton no True
825 1 3 female 27.0 0 1 12.475 S Third woman False E Southampton yes False
826 0 3 male 2.0 4 1 39.6875 S Third child False Southampton no False
827 0 3 male 0 0 6.95 Q Third man True Queenstown no True
828 0 3 male 0 0 56.4958 S Third man True Southampton no True
829 1 2 male 1.0 0 2 37.0042 C Second child False Cherbourg yes False
830 1 3 male 0 0 7.75 Q Third man True Queenstown yes True
831 1 1 female 62.0 0 0 80.0 First woman False B yes True
832 1 3 female 15.0 1 0 14.4542 C Third child False Cherbourg yes False
833 1 2 male 0.83 1 1 18.75 S Second child False Southampton yes False
834 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
835 0 3 male 23.0 0 0 7.8542 S Third man True Southampton no True
836 0 3 male 18.0 0 0 8.3 S Third man True Southampton no True
837 1 1 female 39.0 1 1 83.1583 C First woman False E Cherbourg yes False
838 0 3 male 21.0 0 0 8.6625 S Third man True Southampton no True
839 0 3 male 0 0 8.05 S Third man True Southampton no True
840 1 3 male 32.0 0 0 56.4958 S Third man True Southampton yes True
841 1 1 male 0 0 29.7 C First man True C Cherbourg yes True
842 0 3 male 20.0 0 0 7.925 S Third man True Southampton no True
843 0 2 male 16.0 0 0 10.5 S Second man True Southampton no True
844 1 1 female 30.0 0 0 31.0 C First woman False Cherbourg yes True
845 0 3 male 34.5 0 0 6.4375 C Third man True Cherbourg no True
846 0 3 male 17.0 0 0 8.6625 S Third man True Southampton no True
847 0 3 male 42.0 0 0 7.55 S Third man True Southampton no True
848 0 3 male 8 2 69.55 S Third man True Southampton no False
849 0 3 male 35.0 0 0 7.8958 C Third man True Cherbourg no True
850 0 2 male 28.0 0 1 33.0 S Second man True Southampton no False
851 1 1 female 1 0 89.1042 C First woman False C Cherbourg yes False
852 0 3 male 4.0 4 2 31.275 S Third child False Southampton no False
853 0 3 male 74.0 0 0 7.775 S Third man True Southampton no True
854 0 3 female 9.0 1 1 15.2458 C Third child False Cherbourg no False
855 1 1 female 16.0 0 1 39.4 S First woman False D Southampton yes False
856 0 2 female 44.0 1 0 26.0 S Second woman False Southampton no False
857 1 3 female 18.0 0 1 9.35 S Third woman False Southampton yes False
858 1 1 female 45.0 1 1 164.8667 S First woman False Southampton yes False
859 1 1 male 51.0 0 0 26.55 S First man True E Southampton yes True
860 1 3 female 24.0 0 3 19.2583 C Third woman False Cherbourg yes False
861 0 3 male 0 0 7.2292 C Third man True Cherbourg no True
862 0 3 male 41.0 2 0 14.1083 S Third man True Southampton no False
863 0 2 male 21.0 1 0 11.5 S Second man True Southampton no False
864 1 1 female 48.0 0 0 25.9292 S First woman False D Southampton yes True
865 0 3 female 8 2 69.55 S Third woman False Southampton no False
866 0 2 male 24.0 0 0 13.0 S Second man True Southampton no True
867 1 2 female 42.0 0 0 13.0 S Second woman False Southampton yes True
868 1 2 female 27.0 1 0 13.8583 C Second woman False Cherbourg yes False
869 0 1 male 31.0 0 0 50.4958 S First man True A Southampton no True
870 0 3 male 0 0 9.5 S Third man True Southampton no True
871 1 3 male 4.0 1 1 11.1333 S Third child False Southampton yes False
872 0 3 male 26.0 0 0 7.8958 S Third man True Southampton no True
873 1 1 female 47.0 1 1 52.5542 S First woman False D Southampton yes False
874 0 1 male 33.0 0 0 5.0 S First man True B Southampton no True
875 0 3 male 47.0 0 0 9.0 S Third man True Southampton no True
876 1 2 female 28.0 1 0 24.0 C Second woman False Cherbourg yes False
877 1 3 female 15.0 0 0 7.225 C Third child False Cherbourg yes True
878 0 3 male 20.0 0 0 9.8458 S Third man True Southampton no True
879 0 3 male 19.0 0 0 7.8958 S Third man True Southampton no True
880 0 3 male 0 0 7.8958 S Third man True Southampton no True
881 1 1 female 56.0 0 1 83.1583 C First woman False C Cherbourg yes False
882 1 2 female 25.0 0 1 26.0 S Second woman False Southampton yes False
883 0 3 male 33.0 0 0 7.8958 S Third man True Southampton no True
884 0 3 female 22.0 0 0 10.5167 S Third woman False Southampton no True
885 0 2 male 28.0 0 0 10.5 S Second man True Southampton no True
886 0 3 male 25.0 0 0 7.05 S Third man True Southampton no True
887 0 3 female 39.0 0 5 29.125 Q Third woman False Queenstown no False
888 0 2 male 27.0 0 0 13.0 S Second man True Southampton no True
889 1 1 female 19.0 0 0 30.0 S First woman False B Southampton yes True
890 0 3 female 1 2 23.45 S Third woman False Southampton no False
891 1 1 male 26.0 0 0 30.0 C First man True C Cherbourg yes True
892 0 3 male 32.0 0 0 7.75 Q Third man True Queenstown no True