R Visuals In Power BI

Ryan Wade ties ggplot2 visuals into Power BI:

The package that we are going to use to develop our custom visualization is ggplot2. The ggplot2 package is arguably the most popular data visualization package in R. It is based on the “grammar of graphics” concept that was created by the statistician, Leland Wilkinson. The ggplot2 package allows you to approach creating charts and graphs in the same manner that Bob Ross approached painting trees in the forest. With ggplot2 you are able to start with a blank canvas and add layers upon layers via short code snippets that builds on each other until you end up with the desired visualization.

The pbix file that is being used in this blog can be found here: http://bit.ly/2jwoCyP. The GentleIntroToR_ChartExample.pbix file contains an example of using R to create a box plot chart that shows the distribution of player scores for the L.A. Lakers. Chiclet slicers were added that allows you to filter by division and/or opponent. The R visualization was created in four steps.

Check out the PBIX file.

Related Posts

Building Cone Plots In Plotly

The Plotly blog shows how to use Python to build 3D cone plots using Plotly: This plot uses an explicitly defined vector field. A vector field refers to an assignment of a vector to each point in a subset of space. In this plot, we visualize a collection of arrows that simply model the wind […]

Read More

Sorting When Your Measure Is Not In The Visual

Kasper de Jonge shows us different ways of sorting a visual by some unrelated measure: So lets start with the simple one, I want to sort a chart on a measure not part of the visual. Let’s take this visual: Now instead of sorting by OrderQuantity I want to sort by the ListPrice. The trick […]

Read More


January 2017
« Dec Feb »