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A data analysis project on loan applications using Python (Pandas, NumPy, Matplotlib, Seaborn). Includes data cleaning, univariate & bivariate analysis, and visualizations like boxplots and heatmaps to uncover trends in loan approvals.

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pachehitesh/Loan-Data-Analysis-Python

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๐Ÿ“Š Loan Data Analysis

This project analyzes a loan approval dataset using Python. We explore various features to understand how factors like income, credit history, and gender affect loan approval.

Tools Used

  • Python
  • Pandas, NumPy
  • Matplotlib, Seaborn
  • Jupyter Notebook

Folder Structure

  • data/ contains the raw dataset
  • notebooks/ contains the analysis notebook

How to Run

Clone the repo and run the notebook in Jupyter.

git clone https://github.com/yourusername/Loan-Data-Analysis.git
cd Loan-Data-Analysis
pip install -r requirements.txt

About

A data analysis project on loan applications using Python (Pandas, NumPy, Matplotlib, Seaborn). Includes data cleaning, univariate & bivariate analysis, and visualizations like boxplots and heatmaps to uncover trends in loan approvals.

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