Power Bi

In this tutorial I walk through some of the errors I often encounter in PowerQuery and hwo to fix them.

In Part 3 of our match report series we add some stats to show the performance of the team in the given match.

Hi guys, In this weeks tutorial, we are expanding on the shot plot we created in R by adding some extra information to easily understand the plot and some context around it.

In Part 2 of our match report series we add a set-up page to filter our report page. This page will help to filter our reports to a given match for a team.

Hi all, Welcome to a new series of videos I am starting this week, creating a match report using StatsBomb event data. This series will run over a few videos, starting with this first video walking through loading data in to Power Bi.

Hi all, In this video I am going to show you an easy way of ranking players within a given context. For this I will create a measure that defines the percentile of players within the positional and season context of your choosing.

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.