Analyzing_Website_Traffic_Data_202401100300272

Website Traffic Analysis

Project Overview

This project analyzes website traffic data using Python. We extract meaningful insights by processing a dataset containing page views, session durations, bounce rates, and traffic sources.

Requirements

• Python
• Pandas
• Matplotlib
• Seaborn

How to Run

1. Clone this repository.
2. Place your dataset (traffic_data.csv) in the same directory.
3. Open the Jupyter Notebook Vaishnavi_202401100300272.ipynb.
4. Run all the cells to generate insights and visualizations.

Output

The notebook generates various charts, including:

• Website traffic trends over time (page views).
• Unique visitors analysis.
• Bounce rate analysis.