Skip to content

readme.md

Latest commit

 

History

History
39 lines (26 loc) · 1.38 KB

readme.md

File metadata and controls

39 lines (26 loc) · 1.38 KB
Raw

OpenROAD GitHub Discussions Analysis

This Streamlit application provides an interactive visualization and analysis of OpenROAD GitHub Discussions.

Features

  • Data Loading: Fetches the latest data from the Hugging Face dataset repository.
  • Interactive Filters: Users can filter discussions by category, tool, and date range.
  • Visualizations:
    • Pie chart for discussion categories
    • Line chart for weekly discussion trends
    • Bar charts for tool distribution and top active authors
    • Word cloud of common terms in discussion titles
  • Detailed View: Users can select and view details of individual discussions.
  • Data Export: Option to download filtered data as a CSV file.

How to Run

  1. Ensure you have the required libraries installed:

    pip install streamlit pandas plotly wordcloud matplotlib requests

  2. Run the Streamlit app:

    streamlit run analysis/steam.py

  3. The app will open in your default web browser.

Data Source

The data is sourced from the OpenROAD_Discussions dataset on Hugging Face. The application automatically fetches the latest version of the dataset.

Note

Please check the Hugging Face repository for any updates to the dataset URL. If there's a newer release, update the url variable in the load_data() function in analysis/analysis.py.