Python-Week8_Frameworks_Assignment

Frameworks Assignment – CORD-19 Data Explorer

This project explores the CORD-19 dataset (metadata.csv) and creates a simple Streamlit application to visualize COVID-19 research insights.

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📌 Features

• Load and clean CORD-19 metadata
• Basic data exploration (missing values, statistics, types)
• Data visualizations:
  • Publications by year
  • Top publishing journals
  • Word cloud of paper titles
  • Distribution by source
• Interactive Streamlit app with filters and charts

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🛠️ Tools Used

• pandas==1.5.3
• matplotlib==3.7.0
• seaborn==0.12.2
• streamlit==1.22.0
• wordcloud==1.9.2
• numpy==1.24.2

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📂 Project Structure

Frameworks_Assignment/
│
├── README.md          # Documentation
├── requirements.txt   # Dependencies
├── notebook.ipynb     # Jupyter Notebook with analysis
├── app.py             # Streamlit web app
├── screenshots/       # Example output screenshots
└── data/
    └── metadata.csv   # Place dataset here (not included in repo)

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⚡ Installation

1. Clone this repo:

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

2. Install dependencies:

   pip install -r requirements.txt
   

3. Add the dataset:
   • Download metadata.csv from Kaggle (CORD-19 Dataset)
   • Place it inside the data/ folder.

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▶️ Usage

Run Jupyter Notebook

jupyter notebook notebook.ipynb

Run Streamlit App

streamlit run app.py

Project Structure text

• cord19_analysis.py: Script for data loading, cleaning, analysis, and visualization
• app.py: Streamlit application for interactive data exploration
• requirements.txt: Python dependencies
• README.md: Project documentation

Features

• Data loading and cleaning
• Basic exploratory data analysis
• Visualizations including bar charts, histograms, and word clouds
• Interactive Streamlit app with filters for year and journal
• Metrics and insights about the dataset

Results

The analysis reveals patterns in COVID-19 research publications, including:

• Trends in publication volume over time
• Most prolific journals in COVID-19 research
• Common words in paper titles
• Distribution of abstract lengths

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📊 Example Results & Screenshots

Publications by Year

Top Journals

Word Cloud of Paper Titles

Streamlit App

📌 Note: Save your charts or app screenshots inside a folder named screenshots/ and they will appear here automatically.

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📝 Reflection

• Challenges: Handling missing values, working with a large dataset, ensuring Streamlit runs smoothly.
• Learning Outcomes: Improved data cleaning skills, gained experience with visualizations, and created a functional interactive dashboard.

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