In [2]:
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline


import seaborn as sns
sns.set()
In [3]:
train = pd.read_csv('data/train.csv')
train.head()
Out[3]:
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S
1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C
2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S
3 4 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S
4 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 NaN S
In [4]:
sns.catplot(data=train, x='Survived', hue='Sex', kind='count')
Out[4]:
<seaborn.axisgrid.FacetGrid at 0x2e382a55e48>
In [5]:
sns.catplot(data=train, x='Survived', hue='Pclass', kind='count')
Out[5]:
<seaborn.axisgrid.FacetGrid at 0x2e382a5bd48>
In [6]:
sns.catplot(data=train, x='Survived', hue='Embarked', kind='count')
Out[6]:
<seaborn.axisgrid.FacetGrid at 0x2e382dfed08>
In [7]:
sns.catplot(data=train, x='Survived', hue='Age', kind='count')
Out[7]:
<seaborn.axisgrid.FacetGrid at 0x2e382e35708>
In [13]:
sns.catplot(data=train, x='Survived', hue='Embarked', kind='count')
Out[13]:
<seaborn.axisgrid.FacetGrid at 0x2e3831283c8>
In [ ]: