COVID19-Data-Analysis

In this project COVID 19 data set is analysed and result is visualized. Also relationship between the spread of the virus in a country and happiness of people is compared. This project is done in Python using Pandas, numpy and Seaborn libraries.

Available Data :

How many people have been affected by Covid 19, how many deaths have been confirmed and happiness data from around the world by country is available in this repo.

Installation :

You can download and run this code. It supports all Python supported text editors

Clone the repo. and setup python environment

git clone https://github.com/sanketmote/COVID19-Data-Analysis-and-Visualization

To run code , you need Pandas, numpy and Seaborn libraries to setup environment.

you can use following commands to install Pandas, numpy and Seaborn libraries in cmd or powershell or linux terminal:

1.pip install pandas
2.pip install seaborn
3.pip install numpy
4.pip install matplotlib

and run code.

Code

You can use these code to analyse and visualize covid19 data for each country.

Here is link for COVID19-Data-Analysis code (all code is in python)

https://github.com/sanketmote/COVID19-Data-Analysis-and-Visualization/blob/master/covid19_analyisis.py

Contribute

If you spot any inaccuracy please file an issue on github

Contribution in the form of a Pull Request are welcomed