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.
Built With
- chartjs
- flask
- javascript
- pandas
- python
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