Posts

Hi all, In my next video, I build upon the shot plot we created a couple of videos ago using R. This plot was built using ggplot2 and ggsoccer, which allows us to more accurately plot our data.

Hi all, I thought I would follow on from my calculated column a few days ago and present a method for creating this as a measure as well. This measure uses the same DAX with a few minor differences due to how measures work and what they require in Power Bi.

Hi all, Today I am going to focus more on a calculation rather than the visual. For this video, I will focus on a rolling average across matches, rather than days.

Hi all, last time we created a nice shot plot using the built-in scatter plot for Power Bi. Today we will take things a step further, using the R Custom Visual in Power Bi.

Hi all, following on from my last tutorial, I have now created something more football specific using the built-in scatter plot in Power Bi. This tutorial will take you through building a basic shot plot with shots coloured by outcome.

This is the beginning of a series of posts using Power Bi. I have used Power Bi extensively over the last few years and this tool has improved massively to be the world leader in Bi. This first tutorial demos how to use categorical slicers in different configurations. I hope you enjoy!

Since I wrote this first post back in 2019, a few things have changed with how our capture the data from the StatsBomb open data sets. So this post, is mostly unchanged, but the code itself is different and will work with newer versions of R, namely 4+.

This post is aimed at walking through one method of comparing players upon specific metrics within a league setting. For this example I will use a couple of different metrics from the free StatsBomb FA WSL dataset.

Makeover Monday viz for week 20 of 2020. This viz looks at the US Music Industry and how it has changed over the last 40 years.

Makeover Monday viz for week 20 of 2020. This viz looks at the car insurance prices in the US.