This is a small project to visualize changes and trends for the COVID-19 pandemic and improve my technologies skills.

General prerequisites for all scenarios is an installed command processor. PowerShell v.5.1 or newer for Windows, bash - for Linux/Mac.

To build a project locally, you need the preinstalled .NET Core SDK 3.1. You can find information about how to install it here.

To run workbooks, you need a Jupyter server with additional python modules:

• numpy
• pandas
• matplotlib
• seaborn
• geopandas
• descartes
• imageio
• imageio-ffmpeg
• multiprocess
• tqdm

To build and run a project with a docker, you need an installed Docker Desktop

This repo contains submodules, so it's highly recommended to clone it with the following command:

git clone --recursive --jobs 8 https://github.com/guest512/CovidSandbox.git 

There are four scripts for each platform:

• build-and-run-local - builds all necessary tools and runs them. After the script finish, go to the ReportsProcessing folder and open (create new) a jupyter workbook to process the results.
• build-and-run-docker - creates all necessary containers and runs them. After the script finish, open a link from the script output and open (create new) a jupyter workbook to process the results.
• run-local - same as build-and-run-local but don't build anything. Useful when you update data source and want to regenerate/update reports.
• run-docker - same as previous but for docker containers.

NOTE: At the moment build-and-run-docker and run-docker scripts not only build tools and prepare data, but also builds web-site and move results to wwwroot folder in the project root.

There are two data sources for the moment:

• JHopkins - a submodule from the COVID-19 repository for CSSE at Johns Hopkins University repository. Can be updated with the following command:

git submodule update --remote 3rdparty/DataSources/JHopkins

• Yandex - a manually updated file grabbed from the public Yandex Dashboard. There is no need to update it anymore since all new cases are stored in the JHopkins data source. However, it's useful to get more detailed data about Russia cases at the beginning of the pandemic.