Today the petition to revoke Article 50 and for the UK to remain in the European Union has passed over 3 million signatures. I took a look at the petition webpage and saw that they have the signature data available as a json file. Not needing an excuse to get some practice with shapefiles and geopandas, I thought we could look at something non football related for a change.
Today we will take a look at plotting passes in football using python. Passes are valued by …
Today we will look at plotting some xy football data. If your dataset has x,y locations, it’s relatively straightforward to add them to our viz. Firstly, for those who do not have access to x,y data, we’ll generate some random x,y points
Plotting football pitches in python is relatively straight forward with matplotlib. And it can be really powerful
Expected Goals remain a controversial tool of measurement. Misunderstood by many, misused by more; like it or not, expected goals is here to stay. It has gained a lot traction in the mainstream over the last year to the delight and dismay of those in the analytics community.