https://github.com/anuraganalog/covid19-india-trend-visualizer

A Covid19 Trend Visualizer of India
https://github.com/anuraganalog/covid19-india-trend-visualizer

api covid19 dashboard data india latitude-longitude python3 streamlit trend visualizer

Last synced: 2 days ago
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A Covid19 Trend Visualizer of India

• Host: GitHub
• URL: https://github.com/anuraganalog/covid19-india-trend-visualizer
• Owner: AnuragAnalog
• License: gpl-3.0
• Created: 2020-06-10T05:36:01.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-26T03:37:23.000Z (over 3 years ago)
• Last Synced: 2024-12-20T15:18:05.027Z (19 days ago)
• Topics: api, covid19, dashboard, data, india, latitude-longitude, python3, streamlit, trend, visualizer
• Language: Python
• Homepage: https://covid19-india-dashboard.herokuapp.com/
• Size: 12.1 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Covid19 Indian DashBoard

Application's link: [https://covid19-india-dashboard.herokuapp.com/](https://covid19-india-dashboard.herokuapp.com/)

This is a covid19 Indian Dashboard which was written in streamlit.

Currently it's features are:

* Trend of Total/Daily cases in India(Confirmed, Active, Recovered, Deceased)

* A Histogram of active cases across india on a particular date

> Due to the change in API I have updated the app, the below demo is not the current one.

## Demo

![demo](./demo.gif)

## Problems which I have faced

* If your streamlit library's version is 0.57+, then your bokeh library's version must be 2.0.0 else, you cannot see any bokeh plot in the dashboard.