CORD-19 Data Explorer

This project analyzes a sample of the CORD-19 dataset (metadata_sample.csv) and provides both:

• A Jupyter Notebook (analysis.ipynb) for data cleaning, exploration, and visualization.
• A Streamlit app (app.py) for interactive exploration.

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📂 Project Structure

Frameworks_Assignment/
│── analysis.ipynb        # Jupyter notebook for analysis
│── app.py                # Streamlit web application
│── metadata_sample.csv   # Sample dataset (<5 MB)
│── README.md             # Documentation
│── requirements.txt      # Dependencies

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🚀 How to Run

1. Clone the repo

git clone https://github.com/<your-username>/Frameworks_Assignment.git
cd Frameworks_Assignment

2. Install dependencies

pip install -r requirements.txt

3. Run Jupyter Notebook

jupyter notebook analysis.ipynb

4. Run the Streamlit app

streamlit run app.py

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📊 Features

• Publications by year
• Top journals publishing COVID-19 research
• Interactive filters for year range
• Data preview table

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📝 Notes

• Dataset used here is a lightweight sample (metadata_sample.csv) under 5MB.
• For the full dataset, visit the CORD-19 dataset on Kaggle.