Survivability on the Titanic

The dataset is available here.
The following Python script shows the percentages of survivors for different groups:

import pandas as pd

df = pd.read_csv('titanic3.csv')
df_male = df[df['sex']=='male']
df_female = df[df['sex']=='female']

df_class_group = df.groupby('pclass').mean()
df_class_group_male = df_male.groupby('pclass').mean()
df_class_group_female = df_female.groupby('pclass').mean()

print(df['survived'].mean())
print(df_female['survived'].mean())
print(df_male['survived'].mean())
print(df_class_group)
print(df_class_group_male)
print(df_class_group_female)

Only 38% of the passengers survived the sinking but this is only part of the story, we can dig down further
to see how belonging to different groups would determine a passenger's chances of survival. If we divide the passengers into male and female we can see that only 19% of male passengers survived whereas 73% of female passengers survived. We can also divide by class - there were 3 classes of ticket on the Titanic: first, second and third. The percentage survival rate (male and female) by class were:

Class	Survival rate
First	62%
Second	43%
Third	26%

If we divide by both gender and class:

Class	Male	Female
First	34.1	96.5
Second	14.6	88.7
Third	15.2	49.1

It is clear that first class female passengers had the best chance of survival. It is also interesting that  the class divisions break down for male second and third class passengers, in the case of male passengers being a second class passenger did not increase your chances of survival compared to male third class passengers.

The difference in ticket price:

Class	average price (1912 money)	price in today's money
First	£87.50	£7,000 (about $9,100)
Second	£21.18	£1,700 (about $2,200)
Third	£13.30	£1,000 (about $1,400)