It turns out, the Poisson distribution is great for modeling football goals at the league level, but not so much at the club level, despite what's been said on football modeling sites.
I built a chart-heavy data science app using code gen and modern deployment tools. I describe the process and the pitfalls. With the right skills, data scientists can build apps very quickly.
Dalhalla is a concert venue based in an old limestone quarry in Sweden. Its acoustics are supposed to be fantastic. The pictures look stunning. https://www.dalhalla.se/en/om-dalhalla/
I'm working on an app to display charts, analysis, and data on English football league games.
The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I'm pushing things a bit harder than you typically see in demo apps (e.g. different chart types (e.g. violin plots, heatmaps, line charts), interactive charts, JavaScript widgets interacting with Bokeh charts, etc).
I'm trying to figure out all the skills, processes, and training you need to build a technical app very quickly.
I'm at the deployment stage now.
How urban groundwater could be used with heat pumps to cost-effectively heart homes in Cardiff, Wales. The headline is poor, but the concept is interesting.