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India Covid-19 Data Analysis

In this project we will be Analysing COVID-19 in India using Pandas. seaborn & Matplotlib Library. We will take a COVID-19 dataset and understand how the disease has spread across different states in India. We will perform some data cleaning, data manipilation and data visualization operation on top of the dataset. India reported its first covid 19 case on 30th jan 2020 and the number of cases reported heavily escalated from March,2020. Data is gathered from Kaggle Website. The covid-19 pandemic has been greatly affecting pepole's lives and the world's economy.
In this Project we will be working with two covid_dataset first we will be analyzing covid_json file and second will be covid_csv file.

The First Covid Data_set which is in Json format is available at https://api.covid19india.org/states_daily.json & it will be download using the urlretrieve function from the urllib.request module.

The Second Covid Data_set which is in Csv format is available at the .csv file of Novel coronavirus 2019 dataset at https://www.kaggle.com/sudalairajkumar/covid19-in-india?select=covid_19_india.csv is downloaded.
All the data is in cumulative form .The world is now facing an unprecedented crisis due to the novel coronavirus, first detected in Wuhan,China, in December 2019 .

The disease has spread across 210 countries and territories around the world, with a total of more than two million confirmed cases In India, the disease was first detected on 30 January 2020 in Kerala in a student who returned from Wuhan . From 20 March 2020, there is an exponential growth in the daily number of COVID19 cases at pan India level.

The total (cumulative) number of confirmed infected people is 61,76,557 till now (29 september 2020) across India

In this project, i am going to work with the COVID19 dataset, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. We need to prevent the spread of this virus.
In this Project, first, I discuss the importance of state-wise consideration, considering all the states together. Then, I will focus on the infected people in each state.
Hope you like my work!!!

project_name = "India_Covid_19 Data Analysis" # change this
!pip install jovian --upgrade -q
import jovian
jovian.commit(project=project_name)
[jovian] Attempting to save notebook.. [jovian] Updating notebook "aashukumar0602/india-covid-19-data-analysis" on https://jovian.ml/ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ml/aashukumar0602/india-covid-19-data-analysis 
'https://jovian.ml/aashukumar0602/india-covid-19-data-analysis'