Visualizing India's COVID19 vaccination progress

Dr. Rahul Remanan,
CEO, Moad Computer

The interactive dashboard above is built using Altair, a declarative visualization library in Python. This tool visualizes the progress of India's COVID19 vaccination drive.

​Here is a deep technical dive into building this visualization tool.

The state-wise vaccination statistics is sourced from the Indian government's ministry of health and family welfare website. This data is cached in the project's GitHub repo.

In addition to Altair, the other dependent libraries for this visualization code are  Pandas, GeoPandas and Numpy.

This explainer is divided into two sections:

• Part 01 -- Demo visualization using Altair
• Part 02 -- Visualizing vaccination statistics of India

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Import dependencies

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Part 01 -- Demo visualization of US airport locations

This is an example visualization using Altair to demonstrate its ability to interactively plot geospatial data.

​This visualization example is adapted using the official example script in Altair library.

To minimize data dependencies of this example script, Altair's built-in US airport location data and mapping information are used here.

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Part 02 -- Visualizing COVID19 vaccination progress in India

Read map data and vaccination statistics

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Pre-process the GeoJSON data and the state-wise vaccination statistics

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Plot vaccine statistics on the state-wise map of India

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Learn more about how this tool was built by visiting our GitHub project page.

Since we first launched this COVID19 visualization project in April 2020, we have been continuously updating  the forecasts as well as the COVID19 statistics for India and constantly improving the dashboard. This project has been developed and updated by Moad Computer. But, if you find this work compelling, your support matters immensely. Please take a moment and consider supporting this project using the donate button below.

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