CORD-19 COVID-19 Research Papers Analysis

This project provides an interactive analysis of the CORD-19 (COVID-19 Open Research Dataset) metadata. It includes data exploration scripts, visualizations, and a Streamlit web app for interactive exploration of research papers related to COVID-19.

Features

• Data Exploration: Load and explore the metadata CSV file with publication details.
• Interactive Visualizations:
  • Publications by year
  • Top journals publishing COVID-19 research
  • Word cloud of paper titles
  • Distribution of papers by source
• Filtering: Filter data by publication year range.
• Sample Data Display: View sample paper details.

Files

• metadata.csv: The CORD-19 metadata dataset containing information about research papers (titles, authors, abstracts, publication dates, etc.).
• explore_metadata.py: Python script to load and explore the metadata CSV, displaying shape, sample rows, data types, and missing values.
• streamlit_app.py: Streamlit application for interactive data visualization and exploration.
• cord19_analysis.ipynb: Jupyter notebook for additional data analysis and exploration.

Installation

1. Clone or download this repository.

2. Ensure you have Python 3.7+ installed.

3. Install the required dependencies:

   pip install streamlit pandas matplotlib wordcloud
   

Usage

Running the Streamlit App

To launch the interactive web app:

streamlit run streamlit_app.py

This will open a web browser with the app, allowing you to explore the data interactively.

Exploring Metadata

To run the metadata exploration script:

python explore_metadata.py

This will print basic statistics about the metadata dataset.

Jupyter Notebook

Open cord19_analysis.ipynb in Jupyter Notebook or JupyterLab for additional analysis and visualizations.

Data Source

The metadata is from the CORD-19 dataset, which is a collection of research papers related to COVID-19. The dataset includes metadata such as titles, abstracts, authors, publication dates, and sources.

Requirements

• Python 3.7+
• streamlit
• pandas
• matplotlib
• wordcloud

Contributing

Feel free to contribute by adding new features, improving visualizations, or enhancing the analysis.

License

This project is for educational and research purposes. Please refer to the original CORD-19 dataset license for data usage terms.