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This project focuses on performing a thorough analysis of credit card data using Python's Pandas library and visualizing insights through Matplotlib graphs. The goal is to delve into the dataset, clean and preprocess the data, conduct exploratory data analysis, and create visualizations that reveal patterns and trends.

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AbheeshtM/Credit-Card-Analysis-using-Python

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Credit Card Analysis using Python

This project focuses on analyzing credit card data using Python's Pandas library and visualizing insights through Matplotlib graphs. Overview

The project aims to perform comprehensive analysis and visualization of credit card data to derive meaningful insights. It includes tasks such as data loading, cleaning, exploratory data analysis, and creating visualizations to understand patterns and trends within the dataset. Dependencies

To run this project, ensure you have the following dependencies installed:

Python (3.x recommended)
Pandas
Matplotlib

Install the necessary packages via pip:

pip install pandas matplotlib

Usage

git clone https://github.com/yourusername/credit-card-analysis.git cd credit-card-analysis

Install Dependencies:

Ensure the required packages are installed as mentioned above.

Run the Analysis:

Execute the Python script to perform the credit card analysis:

python credit_card_analysis.py

Explore Results:

View the generated graphs and insights in the output directory.

File Structure

credit_card_analysis.py: Python script containing the analysis code.
data/: Directory containing the credit card dataset (if applicable).
output/: Directory to store generated visualizations and analysis results.

About

This project focuses on performing a thorough analysis of credit card data using Python's Pandas library and visualizing insights through Matplotlib graphs. The goal is to delve into the dataset, clean and preprocess the data, conduct exploratory data analysis, and create visualizations that reveal patterns and trends.

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