This repository contains Python code for analyzing and visualizing COVID-19 data using various libraries such as Pandas, Plotly Express, NumPy, and Matplotlib. The code provides insights into the global spread of COVID-19, analyzes infection rates before and after lockdown in India, and explores the impact of lockdown on infection and death rates. Table of Contents
Introduction Dependencies Usage Visualizations Contributing License Introduction
The code in this repository aims to provide a comprehensive analysis of COVID-19 data, focusing on the following aspects: Loading and preprocessing COVID-19 dataset. Visualizing the global spread of COVID-19 cases and death cases over time. Calculating infection rates and analyzing the impact of lockdown on infection rates in India. Analyzing and visualizing normalized infection and death rates in India before and after lockdown. Dependencies
To run the code in this repository, you'll need the following dependencies: Python 3.x Pandas NumPy Plotly Express Matplotlib You can install these dependencies using the following command: pip install pandas numpy plotly matplotlib Usage
Clone this repository to your local machine: git clone https://github.com/lisorob/COVID-19-Data-Analysis-and-Visualization/blob/main/covid-19-analysis
Navigate to the repository directory: cd covid-19-analysis
Run the Python script: python covid_analysis.py
Visualizations
This repository generates several visualizations to provide insights into COVID-19 data: Choropleth maps showing the global spread of COVID-19 cases and death cases over time. Line plot depicting infection rates before and after lockdown in India. Bar chart displaying maximum infection rates by country. Line plot illustrating normalized infection and death rates before and after lockdown in India. Contributing
Contributions to this repository are welcome. If you have suggestions for improvements, bug fixes, or additional features, please feel free to open an issue or submit a pull request. License
This project is licensed under the MIT License. Feel free to customize the README file as needed for your repository. Make sure to replace placeholders like yourusername and provide accurate and relevant information about your project.