Inspiration

March madness concludes - it is time to show how teams did.

What it does

Visualizes data from the basketball scores dataset in the browser.

How we built it

Using a Flask backend powered by Pandas, and a vanilla JS frontend powered by ChartJS to make the graphs, we were able to put together a functioning website.

Challenges we ran into

CSS - Centering anything on the page is a a pain. Most of the time was spent working on this part.

Accomplishments that we're proud of

Getting the website to work.

What we learned

CSS is a pain and we should probably learn a decent web framework for this to function.

What's next for Viewing Basketball Data

Adding a functioning games tab, adding a home page, adding the ability to remove data from the chart, adding more intuitive naming for the teams as well as more intuitive naming for the available categories.

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