/Titanic_Data_Analysis_and_Visualization

Explore Titanic dataset using Python libraries (pandas, NumPy, Seaborn). Analyze and visualize passenger information, extract insights from numeric and categorical variables, perform regression analysis, and present relationships through plots.

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Titanic Data Analysis

This repository contains an analysis of the Titanic dataset using Python's data manipulation and visualization libraries. The analysis aims to explore insights from the dataset and visualize relationships between variables.

Features

  • Data cleaning and preliminary analysis.
  • Univariate and bivariate analysis.
  • Linear regression modeling.
  • Grouped statistics calculation.
  • Bonus: Pair plot and missing value heatmap.

Getting Started

  1. Clone the repository.
  2. Install required Python libraries: pandas, NumPy, Seaborn.
  3. Download the titanic.csv dataset.
  4. Run the titanic_analysis.ipynb Jupyter Notebook to perform the analysis.

Usage

  • Each section of the analysis is organized in the titanic_analysis.ipynb notebook.
  • Follow the notebook's instructions to execute the code and visualize insights.

Contributing

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

License

This project is licensed under the MIT License.