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Blog 8 – Dashboard Week Day 1: Free Choice

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.

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Dashboard week kicked off today, and today’s task was to web scrape any data of our choice and create a dashboard using that data. In today’s blog, I will be taking you through the steps I took to try and predict the 2023 Brownlow Medalist.



Step 1

Find the data. With the AFL finals on the horizon, so too is the Brownlow medal, which takes place on the Monday before the grand final. With the excitement in the air, I decided I wanted to build a dashboard to attempt to predict who was going to win the Brownlow this year.

Step 2

Scrape the data. Using the AFL Tables website, I inserted the URL into Alteryx. Using some regex, I gathered the 2023 AFL stats as well as the stats of the last 10 Brownlow Medal winners in the respective year they won it.

Step 3

Look at the data in Tableau. I briefly browsed the data in Tableau and determined which statistical categories I would use to determine this year’s Brownlow Medal winner.

Step 4

Put the dashboard into production. Now that all the charts had been created, it was time to assemble my dashboard. Narrowing the Brownlow down from the top 10 favorites to 3 potential winners. Who will take the cake in a couple of weeks’ time?

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