We took inspiration from the effects of COVID-19.

What it does

Our data visualizations highlight the patterns and trends of the effects of the pandemic.

How we built it

We used Tableau to create our data visualizations.

Challenges we ran into

At first Brandi was going to use Jupyter Python to create a Heatmap of the national unemployment rate from 2011 to 2021, but she ran into several contraints. This mostly included trying to become familiar with complex python code in a short period of time.

Accomplishments that we're proud of

We created 3 data visualizations within 3 days! We are all fairly new to data vizathons so this was a nice chance to learn more about the area.

What we learned

Brandi learned some python (which is a new language for her!) with Tableau, Vivek learned how to create a complex data visualization with the national map, and Brandon got to do secondary research for the patterns and trends of unemployment and datasets.

What's next for The Story of Unemployment due to COVID-19

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