Skip to content

Latest commit

 

History

History
83 lines (59 loc) · 2.36 KB

README.md

File metadata and controls

83 lines (59 loc) · 2.36 KB

Log Files Assessments

Overview

Log File Analyzer is a powerful tool designed for analyzing log files that contain clickstream data. It provides users with the ability to extract meaningful insights from web traffic, user behavior, and engagement patterns. This project aims to simplify log analysis, enabling users to make data-driven decisions to enhance their web applications and improve user experience.

Features

  • Comprehensive Parsing: Efficiently parse various log file formats.
  • Clickstream Data Analysis: Analyze user click patterns and behavior.
  • Visualization Tools: Generate insightful charts and graphs representing clickstream data.
  • Custom Filters: Apply filters to focus on specific segments of the data.
  • Performance Metrics: Identify key performance indicators (KPIs) to measure user engagement.

Table of Contents

Installation

To install LogFileAnalyzer, follow these steps:

  1. Clone the repository: 
    git clone https://github.com/yourusername/LogFileAnalyzer.git
  2. Navigate to the project directory: 
    cd LogFileAnalyzer
  3. Install the necessary dependencies: 
    pip install -r requirements.txt

Usage

To use LogFileAnalyzer, you can follow these steps:

  1. Prepare your log file containing clickstream data.
  2. Run the analysis tool with your log file as an argument: 
    python log_analyzer.py path/to/your/logfile.log
  3. View the generated reports and visualizations.

Examples

Here’s how to analyze a log file:

python log_analyzer.py /path/to/clickstream.log

The output will include key metrics like:

  • Total clicks
  • Unique visitors
  • Most popular pages
  • Time spent on each page

Contributing

We welcome contributions! If you'd like to contribute to LogFileAnalyzer, please follow these steps:

  1. Fork the repository.
  2. Create a feature branch.
  3. Commit your changes.
  4. Push to the branch.
  5. Open a pull request.

Please ensure your code follows the project's style guidelines and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Feel free to reach out with any questions or suggestions! Happy analyzing!