davidekong/workspace

StackOverflow Data Analysis Project

Overview

This project is focused on utilizing data science techniques to analyze questions and user interactions on StackOverflow. It involves web scraping, data visualization, and sentiment analysis to extract valuable insights from the StackOverflow platform.

Table of Contents

• Project Structure
• Installation
• Usage
• Dependencies
• Contributing
• License

Project Structure

The project is organized as follows:

• data_scraping: Contains Python scripts for web scraping StackOverflow data.
• data_analysis: Contains Jupyter notebooks for data visualization and sentiment analysis.
• reports: Includes reports and visualizations generated during the analysis.
• README.md: You are currently reading this file.

Installation

To run the project locally, follow these steps:

1. Clone this repository: git clone https://github.com/davidekong/workspace.git
2. Install the required dependencies (see Dependencies).
3. Run the project using Python and Jupyter notebooks.

Usage

1. Data Scraping: Explore the Jupyter notebooks to understand how StackOverflow data is collected.

2. Data Analysis: Check out the Jupyter notebooks for data visualization and sentiment analysis.

Feel free to adapt the code and analysis to your specific needs.

Dependencies

The project relies on the following Python libraries:

• BeautifulSoup
• Matplotlib
• Natural Language Toolkit (NLTK)
• Pandas
• Jupyter Notebook (for data analysis)

You can install these libraries using pip:

pip install beautifulsoup4 matplotlib nltk pandas jupyter