Titanic Data Analysis

Overview

This project explores the Titanic dataset to uncover insights about survival rates based on age, class, family size, fare, and gender.

Key Insights

• Age Distribution: Varied survival rates among younger passengers.
• Passenger Class: Higher survival rates for first-class passengers.
• Family Members: Impact of family size on survival.
• Fare: Higher fares correlated with better survival rates.
• Class Distribution: Count of passengers across classes.
• Overall Survival: Statistics of survivors vs. non-survivors.
• Gender: More women survived than men.

Visualizations

Includes charts on:

• Age distribution of survival and non-survival
• Survival rates by class (Pie Chart)
• Death rates by family size (Bar Plot)
• Fare distribution and survival (Box Plot)
• Class distribution (Count Plot)
• Overall survival (Pie Chart)
• Survival rates by gender (Count Plot)

Getting Started

1. Clone the repository:

   git clone https://github.com/mohitkumhar/titanic-data-analysis.git

2. Navigate to the project directory:

   cd titanic-data-analysis

3. Install required libraries:

   pip install -r requirements.txt

4. Run the analysis: Open and run the Jupyter notebooks.

Contributing

Contributions are welcome! Feel free to fork the repository, make your changes, and submit a pull request.

Repository Link

GitHub Repository

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For any queries or contributions, please contact mohitmolela@gmail.com

Happy analyzing! 🚢📊✨