Exploratory Data Analysis of Covid-19 India

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.
Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.

The best way to prevent and slow down transmission is be well informed about the COVID-19 virus, the disease it causes and how it spreads. Protect yourself and others from infection by washing your hands or using an alcohol based rub frequently and not touching your face.

At this time, there are no specific vaccines or treatments for COVID-19. However, there are many ongoing clinical trials evaluating potential treatments. WHO will continue to provide updated information as soon as clinical findings become available.

The datasets has been downloaded from Kaggle. This dataset contains seven csv files but only three csv files i.e covid_19_india.csv,AgeGroupDetails.csv and HospitalBedsIndia.csv has been used in this project for the analysis. The libraries for data analysis and visualization used in this project are Numpy, Pandas, Matplotlib and Seaborn. These libraries are covered in the course by Jovian.ml named as Data Analysis with Python: Zero to Pandas.

As a first step, let's upload our Jupyter notebook to Jovian.ml.