COVID-19 Data Analysis & Visualization

Exploratory Data Analysis (EDA) on COVID-19 datasets — cases, recoveries, and vaccinations.

Quick Start (PyCharm)

1. Open this folder as a project in PyCharm.

2. Open the Terminal (View > Tool Windows > Terminal).

3. Install dependencies:

   pip install -r requirements.txt
   

4. Download the dataset from:

   https://covid.ourworldindata.org/data/owid-covid-data.csv
   

   Place it in: data/raw/owid-covid-data.csv

5. Run the pipeline:

   python main.py
   

Outputs

Type	Location
Cleaned data	data/processed/cleaned_covid.csv
Line plots / heatmaps	outputs/figures/
Interactive HTML charts	outputs/html/

Project Structure

covid19_analysis/
├── data/raw/              ← Place downloaded CSV here
├── data/processed/        ← Auto-generated cleaned data
├── src/
│   ├── data_loader.py
│   ├── preprocessor.py
│   ├── analyzer.py
│   ├── visualizer.py
│   └── interactive.py
├── outputs/
│   ├── figures/
│   └── html/
├── main.py
├── requirements.txt
└── README.md

Libraries Used

• pandas — data loading and manipulation
• numpy — numerical operations
• matplotlib — static line plots, bar charts
• seaborn — correlation heatmaps
• plotly — interactive HTML charts