This project performs a detailed Exploratory Data Analysis (EDA) on the Titanic dataset using Python libraries. The goal is to uncover insights about the factors that influenced the survival of passengers during the Titanic disaster.

• Clean and preprocess the Titanic dataset.
• Perform univariate, bivariate, and multivariate analyses.
• Visualize data insights using plots.

The Titanic dataset can be found on Kaggle.

• Pandas: Data manipulation and cleaning.
• Numpy: Numerical operations.
• Seaborn: Data visualization.
• Matplotlib: Plotting and visualization.

• Gender: Females had a much higher survival rate compared to males.
• Class: First-class passengers were more likely to survive.
• Age: Younger passengers had a higher survival rate.

1. Clone the repository:

   git clone /~https://github.com/SunnyBibyan/Exploratory-Data-Analysis-EDA.git

2. Install the required libraries:

   !pip install -r requirements.txt