https://github.com/omraj0/covid19-data-analysis
Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
https://github.com/omraj0/covid19-data-analysis
covid-19 google-colab matplotlib numpy pandas python
Last synced: 3 days ago
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Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
- Host: GitHub
- URL: https://github.com/omraj0/covid19-data-analysis
- Owner: omraj0
- Created: 2024-10-26T09:49:15.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-29T18:14:15.000Z (23 days ago)
- Last Synced: 2025-01-29T19:24:36.020Z (23 days ago)
- Topics: covid-19, google-colab, matplotlib, numpy, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 863 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# COVID-19 Data Analysis
## Overview
This project analyzes COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support. Visualizations include scatter plots and pie charts to illustrate relationships and totals.
## Features
- Data visualization using Matplotlib and Seaborn
- Correlation analysis of infection rates with economic and social factors
- Detailed country-wise analysis
## Technologies Used
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
## Setup
1. Clone this repository:
```bash
git clone https://github.com/omraj0/COVID19-Data-Analysis.git
```
2. Clone this repository:
```bash
pip install -r requirements.txt
```
3. Clone this repository:
```bash
python analysis.py
```
## Contribution
Contributions are welcome! Please fork this repository and submit pull requests for improvements or additional features. Make sure to follow the coding standards and include relevant tests with your contributions.