TL;DR. I've built a web application that reveals the impact of the COVID-19 pandemic on people's lives and habits. Also, I tell how I built it.

Here's how this application looks like:

Surely, you can select any country — definitely try your own. You will explore how COVID-19 affected social mobility or how "stay at home" requirements were followed (or not).

Insights

Let's take Israel. You can clearly see three waves and the positive effect of "stay at home" requirements — after they are introduced, every wave spreads with lesser speed.

Let's take Germany. You can see how Germans interact with the rules: after the first "stay at home" requirements are lifted, park activity grows, and after the second "stay at home" requirements are introduced, parks instantly become deserted.

Let's take Singapore. Obviously enough, you can see Singapore doing a great job containing the virus. The third wave is nearly unexistent.

Tutorial

You can build this application from scratch using BigQuery public datasets, JavaScript, React, and Cube.js. Read on:

Using BigQuery Public Datasets to research the impact of COVID-19 🦠

Igor Lukanin for Cube ・ Mar 4 '21

#webdev #javascript #database #tutorial

Also, don't hesitate to share your insights in the comments 🙏