MIP Logo

Dashboard Week Day#1 – Game of Thrones

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

If you are having trouble viewing this article, please report it here

Finally, the much-awaited dashboard week started today. During this week we will get data in the morning. We need to prepare data to build a dashboard and present it in next morning. For the first day, we are challenged with a task to download data from an API (https://anapioficeandfire.com/). This API contains the data of the famous series “Game of Thrones”. API has three Endpoints characters, books, and houses. For my analysis, I need to download data for all of the endpoints.

The first challenge was how to download all data from API. For this, I needed to go through the API documentation. Afterward, I have used Alteryx to download and prepare data for the visualization. My workflow for the Alteyx is shown below:

After that, I need to study a bit more about the series and the characters in each series. I’d never watched this series and it was challenging for me to understand the data. For that, I referred my friend Google. It took more than half a day to prepare and understand the data. The next step involved importing data to the tableau for visualization. To enrich my analysis I used external data to supplement my visualizations. I managed to find data that contains the ratings of each season from the famous rating website “Rotten tomatoes”. After that, I started building my dashboard. This time I have used my favorite chart ” Dendrogram” to show the number of the character cast in each series. 

It was great fun to analyze famous series. I also got the opportunity to learn how to understand unfamiliar data quickly. It was fun!

Share this post