Exploratory Data Analysis (Python)

📊 Project Overview

This project performs Exploratory Data Analysis (EDA) on a dataset using Python. The aim is to understand the structure, patterns, and relationships within the data.

🔧 Tools & Libraries Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn

📁 Dataset

The dataset includes structured data used for analysis and visualization.

📌 Key Features

• Data cleaning and preprocessing
• Handling missing values
• Statistical summary of data
• Data visualization using graphs and plots

📈 Insights

• Distribution of variables
• Relationships between features
• Identification of trends and anomalies

🚀 How to Run

1. Download the .ipynb file
2. Open in Jupyter Notebook / VS Code
3. Run all cells