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In this project the Dataset used for globally is COVID-19. Here there are many visualization and comparison of effects of different countries and finally predicted the effect of Corona-virus using Time Series Forecasting.

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COVID-19-Data-Analysis-and-Forecasting

Coronavirus

Coronavirus

The coronavirus or Covid-19 is a large family of viruses that causes illnesses ranging from the common cold to acute respiratory syndromes, but the current virus is a novel strain not seen before. Common symptoms of the novel coronavirus strain include respiratory symptoms such as fever, cough, and shortness of breath, according to the WHO. The WHO has declared the coronavirus epidemic as a global health emergency.

The affect of CoronaVirus globally can be found here.


This project shows the affect of coronavirus in India and worldwide.


In India more than 4468 people affected by this Virus as of 6 April,2020.


In this project the Dataset used for globally is COVID-19. Here are so many visualization and comparision of effects of different countries and finally I predicted the effect of Coronavirus using Time Series Forecasting.

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In this project the Dataset used for globally is COVID-19. Here there are many visualization and comparison of effects of different countries and finally predicted the effect of Corona-virus using Time Series Forecasting.

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