this was my take on the covid analysis in india during the last year in aug 2020 but this was not correct as the cases and beds in india doesnt went as it was predicted
Covid-19-Data-Analysis
covid
Installation
You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.
For a local installation, make sure you have pip installed and run:
$ pip install notebook
Project Motivation
A novel strain of coronavirus — SARS-CoV-2 — was first detected in December 2019 in Wuhan, a city in China’s Hubei province with a population of 11 million, after an outbreak of pneumonia without an obvious cause. The virus has now spread to over 200 countries and territories across the globe and was characterized as a pandemic by the World Health Organization. India coronavirus cases crossed the one million or the 10 lakh-mark. Let's do the analysis of fights of India against Coronavirus.
Question that are from intrest are -
Which state has most number of Confirmed Cases, Cured Cases and Death Cases ?
Mortality rate and Recovery Rate of Maharastra?
Which Age group has Heigher and Lower chance of getting infected?
Which state has better Public Health care facilities?
Which state has heigher number of Public Beds?
Which state has Heigher number of Beds avilable in urban areas and Rural areas?
what are the number of people hospitalized, recoverd, Decased and Migrated?
Which state has most number of sample testing on 12/07/2020?
What percent of people are tested positive and negative?
File Description
There is a Jupyter notebook in .ipynb format. I have also written a blogpost on Medium summarizing all the insights that I gathered.
Blog
The blog can be accessed here- Medium
Licensing and Acknowledgements
All the data used in this project are taken from - Kaggle
Feel free to use the code in the Jupyter notebook as you like.