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.
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!
For this new post I decided to make a video tutorial of importing data from a csv in to Power Bi. The video itself is basic, and will appear at the bottom of this post, but I will accompany it below with a few steps and a guide of how I import data in to Bi.