CORD-19 Metadata Analysis & Streamlit App

This project explores the CORD-19 dataset focusing on the metadata.csv file, which contains metadata for COVID-19 research papers.

Project Structure

Frameworks_Assignment/
│── data/                  # Input data files
│── notebooks/             # Jupyter notebooks
│── app/                   # Streamlit app
│── reports/               # Report outputs
│── requirements.txt       # Dependencies
│── run.sh                 # Script to run the app
│── README.md              # Project overview
│── .gitignore             # Ignore unnecessary files

Usage

1. Clone the repo and place metadata.csv inside data/ folder (optional, large file).
2. Run the notebook for analysis:

   jupyter notebook notebooks/cord19_analysis.ipynb

3. Start the Streamlit app:

   ./run.sh

Requirements

• Python 3.8+
• pandas, matplotlib, seaborn, streamlit, wordcloud

Notes

• For quick tests, use the provided metadata_sample.csv.
• For full analysis, download the complete metadata.csv from Kaggle.