Covid 19 is a disease caused by a new strain of coronavirus. 'CO' stands for corona, 'VI' for virus, and 'D' for disease. Formerly, this disease was referred to as '2019 novel coronavirus' or '2019-nCoV.' This Pandemic has caused a lot of turbulence all over the world, bringing people out of employment, causing deaths and haulting a lot of economic activities. This Project analyses the coverage of this novel virus in the world starting from January 2020 to Octover 2020.

The dataset can de downloaded from Kaggle with the title Covid 19 data. It has 116805 entries.

To use this project, first clone or fork the files to your local computer or repository.

This is the script used to create the visualizations in the jupyter notebook. To use the script, you will first have to make sure you have pip/conda installed keras. The data I imported and used in the script is the dataset downloaded from Kaggle.

This project makes it easy to quickly view the impact of this novel virus on a world map. I used plotly library to show this visualization. Also, the seaborn library was implored to showcase top 20 countries with confirmed cases and deaths.