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Timeseries data of COVID-19 reported cases in India and supporting Python Jupyter notebooks.

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amitvsavant/covid19-india-state-timeseries

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COVID-19 India Statewise Reported Cases Timeseries

This repository provides a timeseries statistics of COVID-19 reported cases in states of India. It also contains Python notebooks used for daily tasks such as web scraping of data, uploading the data to Kaggle and basic data visualization.

The data and the visualization kernel is also published on Kaggle.

Structure of the project

data folder

covid19-india-statewise-timeseries.csv: The CSV file containing the timeseries data. The data is available from 30th January 2020 onwards. All figures are cumulative. The data has 5 columns.

Date: Date in DD-MM-YYYY format State: Name of the state Total Confirmed Cases: Total number of confirmed cases as on Date Cured/Discharged/Migrated: Total number of cured, discharged or migrated cases as on Date Death: Total number of deaths as on Date

dataset-metadata.json: The metadata file of the dataset for Kaggle.

src folder

COVID-19 India Timeseries Visualization.ipynb: Python notebook containing basic data visualization.

kaggle.ipynb: Python notebook used to upload data to Kaggle using Kaggle Python APIs.

webscrape.ipynb: Python notebook used to upload data to Kaggle using Kaggle Python APIs.

Acknowledgements

This dataset is created and maintained using the data available in public domain. The state-wise COVID-19 cases in India are published by Ministry of Health and Family Welfare, Government of India A snapshot of the data on the above website is taken at 11PM IST(UTC+05.30) daily and appended to this dataset.

Part of the data for initial period is taken from India Today COVID-19 Tracker

Thanks to Jose Cherian for his post Kaggle API – The Missing Python Documentation on Techno Whisp. This helped me write the Python script to upload the data daily to Kaggle.

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