🧪 Exploratory Data Analysis (EDA) – Data Science Project

This repository contains a Jupyter Notebook that performs Exploratory Data Analysis (EDA) on a given dataset as part of a data science workflow. The analysis involves understanding data structure, identifying patterns, cleaning data, and extracting useful insights.

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Files Included

• EDA_DS.ipynb: Main notebook containing the step-by-step EDA process.
• README.md: Project overview and usage instructions.

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What’s Inside?

The notebook includes:

• ✅ Data Loading
• 📊 Data Visualization
• 📈 Univariate and Bivariate Analysis
• 🧼 Missing Value Treatment
• 💡 Insights and Summary

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Technologies Used

• Python 3
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

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How to Run

1. Clone this repository:

   git clone https://github.com/varshh-ds/EDA_project.git