Introduction
One of the first “unique” chart types I ever learnt to visualise in a BI tool has since become one of my favourites, the Peas-in-a-Pod chart.
This chart can be a great way to visualise the change between multiple data points. For example, in this challenge, we will be exploring how the IMDB ratings for some of cinema’s most famous 4-film franchises varied across their respective franchises.
This challenge will involve not only creating the peas-in-a-pod chart but also transforming the data into the chart’s required structure.
Have fun, and I hope you fall in love with this chart type just like I did.
Dataset
The data set can be obtained from GitHubhttps://github.com/Imba456/
Requirements
- Download the data from the CSV file and bring it into Power Query.
- Transform the data structure for use in a ‘peas-in-a-pod’ chart.
- Build the peas-in-a-pod chart.
- Order the pods by total franchise box office.
- Create a legend.
- Create a tooltip report that contains a table showing the following fields: Color, Franchise, Title, Year, Rating, Box Office. Use that as the tooltip for the peas-in-a-pod chart.
Hints
- Sometimes, to pivot, you have to unpivot first
- Error bars are your friend
- Each pod casing should contain the highest and lowest rated title in each franchise
- Here are the hex codes if you wish to follow the formatting in the example:
-
- 1: #981F26
- 2: #CF7926
- 3: #5197B9
- 4: #098A74
Share
After you finish your workout, share on BlueSky or LinkedIn using the hashtags #WOW2026 and #PowerBI, and tag @MMarie, @shan_gsd, @KerryKolosko (on BlueSky). Tag Tobin Hardy on LinkedIn.