adikele/covid3 repository overview

By Aditya Kelekar, updated: 6.4.2021

PROJECT DESCRIPTION: The purpose of this project is to develop software to visualize Covid-19 infection rates. Potential users are academicians, researchers and journalists. Such users can interact with the project’s website to create visual representations of Covid-19 data and save these as files. The data source is EU Open Data Portal: https://data.europa.eu/euodp/en/data/dataset/covid-19-coronavirus-data⁠ The project uses the following libraries: (i) matplotlib 3.3.0 (ii) pandas 1.1.0 (iii) flask 1.1.2

The project website can be found at: https://covid-19-visualizations.ey.r.appspot.com/⁠ Currently website users can plot graphs for: (i) Bargraphs of one user-entered country and four other countries from the same continent (ii) Linegraphs of infections in three user-entered countries over a period of time

TO DO TASKS: Rewrite program to extend time period beyond December 2020. (Current program creates a website that shows Covid data until 6th December 2020. The format of the data hosted by EU Open Portal was changed in December 2020.) Provide user the option to input a time period for which line graphs should be drawn.

HOW TO USE THIS IMAGE:

To run this image use the following command: docker run -p 5000:5000 -d adikele/covid3:1

Website will open in your browser at the address: http://localhost:5000⁠

The site page displayed should have the title: COVID-19 PLOTS

Click on: Countries and Cases bar graphs

Scroll and select Bhutan, click on: Show results

Click on: Show bargraph

Your downloaded image is running successful if you see a bar graph with Bhutan and four other countries.

TESTS: Tested for different countries by running program and manually checking output.

HOW TO GET IN TOUCH: Please write to me at [email protected]⁠ for contributions and suggestions. Thank you!