Question 3
Titanic sinking 

The third question we are solving is

What are the factors to people dying on titanic

This code makes a plot showing deaths according to sex (gender)

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

# Load the training data (assuming titanic_df is already loaded from previous cells)

# If not loaded, uncomment the line below:

# titanic_df = pd.read_csv('train.csv')

# Create a bar plot of survival count by sex

plt.figure(figsize=(8, 6))

sns.countplot(data=titanic_df, x='Sex', hue='Survived', palette='viridis')

plt.title('Survival Count by Sex', fontsize=14)

plt.xlabel('Sex', fontsize=12)

plt.ylabel('Count', fontsize=12)

plt.legend(title='Survived', title_fontsize=12)

plt.grid(axis='y', linestyle='--', alpha=0.6) # Add grid lines on y-axis

plt.show()

This code makes a plot showing deaths according to embarkment

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

# Load the training data (assuming titanic_df is already loaded from previous cells)

# If not loaded, uncomment the line below:

# titanic_df = pd.read_csv('train.csv')

# Create a bar plot of survival count by embarkment point

plt.figure(figsize=(8, 6))

sns.countplot(data=titanic_df, x='Embarked', hue='Survived', palette='viridis')

plt.title('Survival Count by Embarkment Point', fontsize=14)

plt.xlabel('Embarkment Point', fontsize=12)

plt.ylabel('Count', fontsize=12)

plt.legend(title='Survived', title_fontsize=12)

plt.grid(axis='y', linestyle='--', alpha=0.6) # Add grid lines on y-axis

plt.show()

This code makes a plot showing deaths according to SibSp (siblings or spouses aboard)

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

# Load the training data (assuming titanic_df is already loaded from previous cells)

# If not loaded, uncomment the line below:

# titanic_df = pd.read_csv('train.csv')

# Create a bar plot of survival count by SibSp

plt.figure(figsize=(10, 6))

sns.countplot(data=titanic_df, x='SibSp', hue='Survived', palette='viridis')

plt.title('Survival Count by Number of Siblings/Spouses Aboard (SibSp)', fontsize=14)

plt.xlabel('Number of Siblings/Spouses Aboard (SibSp)', fontsize=12)

plt.ylabel('Count', fontsize=12)

plt.legend(title='Survived', title_fontsize=12)

plt.grid(axis='y', linestyle='--', alpha=0.6) # Add grid lines on y-axis

plt.show()

This code makes a plot showing deaths according to parch (parents or children aboard)

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

# Load the training data

# Assuming the training data is in a file named 'train.csv'

try:

   titanic_df = pd.read_csv('train.csv')

except FileNotFoundError:

   print("Error: 'train.csv' not found. Please make sure the file is in the correct directory.")

   # You might want to add a way for the user to upload the file here.

# Create a bar plot of survival count by Parch

plt.figure(figsize=(10, 6))

sns.countplot(data=titanic_df, x='Parch', hue='Survived', palette='viridis')

plt.title('Survival Count by Number of Parents/Children Aboard (Parch)', fontsize=14)

plt.xlabel('Number of Parents/Children Aboard (Parch)', fontsize=12)

plt.ylabel('Count', fontsize=12)

plt.legend(title='Survived', title_fontsize=12)

plt.grid(axis='y', linestyle='--', alpha=0.6) # Add grid lines on y-axis

plt.show()