Covid-19 Data Explorer

About

Covid-19 Data Explorer -app allows user to compare and explore different corona statistics from over 200 countries. This python based project was created with Streamlit’s open-source app framework. Using Alrair library for building interactive charts that are displayd with Vega-Lite. Data is updated daily.

Statistics

These statistics includes:

Total confirmed cases
Total deaths
Total cases per million
Total deaths per million
New confirmed cases
New deaths

Using:

python3
streamlit, altair, pandas
data.world’s REST API
Travis CI
selenium

Running app with Docker

You can run this app with Dockerfile

Build the container:
docker build -t st-app .

And run it:
docker run -p 8501:8501 --name st-app -it --rm st-app

Container is now available on:
http://<your docker-machine ip>:8501/

Testautomation

I have automated UI tests using Selenium library and Travis CI.

Travis-CI is a continuous integration tool that will run tests for a GitHub repository every time commits are pushed. I’m running tests with both Firefox and Chrome in the headless mode, which is suitable for driving browser-based tests using Selenium and other tools.

After all tests have finished I can check my Travis CI build status page to see if my build passes or fails according to the return status of the build command. You can also get the status by e-mail after execution.

I’m using Python unittest as my test runner so I can also run the specific test class from the command line for example:
python -m unittest tests.CompareCountries
or running a single test case:
python -m unittest tests.CompareCountries.test_check_chart

Data Source

Data is originally sourced from: ourworldindata.org

More information about this dataset: github.com/owid/covid-19-data

For more details view my GitHub

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