Chelsea FC Vizathon
I’ve wanted to try building an interactive sports data visualisation platform for a while now, so when I found out about the Chelsea FC Performance Insights Vizathon it seemed like the perfect time to learn something new.
For my entry, I decided to build the dashboard in Python (primarily with the Plotly Dash package). The platform is mostly built around time-series visualisations using time adjustment sliders and a custom gradient bar chart function I developed, but there are some other fun data visualisations in there like bubble plots, stacked areas, radars, heatmaps and an injury body map.
I would have liked to incorporate some predictive modelling into the app and tidied up the layout a little bit more, but only finding out about the competition 6 days before the deadline meant I ran out of time. Overall the entry is far from perfect, but as a first attempt at working with Dash I’m really happy with what I was able to produce in such a short time.
I’ve embedded the app below to interact with, and it can also be found online here, but being hosted on the free version of render means that it can be a bit slow/unresponsive.
The source code can also be found on my GitHub. Enjoy!
