Titanic Survival Analysis: Impact of Ticket Class on Adult Passengers

This code snippet analyzes the Titanic dataset to determine the average ticket class for adult passengers (Age >= 18) who survived and perished. This helps understand how ticket class influenced survival rates.

import pandas as pd

# Assuming the CSV file is named 'titanic_data.csv'
data = pd.read_csv('titanic_data.csv')

# Filter the data for passengers who are adults
adult_passengers = data[data['Age'] >= 18]

# Group the data by the 'Survived' column and calculate the mean class value
mean_class_by_survived = adult_passengers.groupby('Survived')['Pclass'].mean()

# Output the mean class value for the passengers who are adults, grouped by the Survived column
print(mean_class_by_survived)

By running this code, you'll get the output showing the mean class value for the adult passengers grouped by the 'Survived' column.