COVID-19 Vaccine Analysis Of India

India began administration of COVID-19 vaccines on 16 January 2021. As of 16 November 2021, India has administered over 1.13 billion doses overall, including first and second doses of the currently-approved vaccines. In India, nearly half the eligible population received at least one shot, and 19 per cent received both the doses in the first nine months after vaccine rollout. This project mainly focus on the analysis of different vaccine administered in India till 9 th August 2021. The data being analysis on is collected from dataset kaggle. The three different vaccine include covishield , covaxin and Sputnik V. The project throws light on the number and percentage of people been vaccinated in different age groups both statewise and around the country.

How to run the code

This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".

Option 2: Running on your computer locally

1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

2. Create a Conda environment and install the required libraries by running these commands on the terminal:

conda create -n zerotopandas -y python=3.8 
conda activate zerotopandas
pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade

3. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:

jovian clone notebook-owner/notebook-id

4. Enter the newly created directory using cd directory-name and start the Jupyter notebook.

jupyter notebook

You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a .ipynb extension) to open it.

Downloading the Dataset

I have downlod the covid-19 state wise vaccination data from Kaggle
Link.