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Dashboard Week – Day 2: CPI and the 5 WHY’s

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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Today was the second day of Dashboard Week, and the dataset is CPI and wages.
The datasets can be found here:
CPI
wages by state
wages

Data Preparation

The data was not organized in the right way, so a lot of transforming was required. Separating the wages from % of change was required, as was transforming the index type.

My Alteryx workflow looked like this:

Dashboard

I found extra data on the ABS website so that I could add a hierarchy to my dashboard and allow a drilldown functionality. My focus today was on using the 5 Why’s.

Here is my dashboard.

Insights

Childcare was the Primary driver of the biggest CPI % decrease in over 2 decades in Q2 2020, and it was also the biggest CPI % gainer in over 2 decades in Q3 2020. This was due to the government making childcare free for Australians while we were in Covid lockdown in Q2 2020, and consequently removing the subsidy in Q3 2020.

You can view my tableau dashboard here:
CPI and the 5 WHY’s | Tableau Public

Check out the other days of Dashboard Week:
Dashboard Week – Day 1: Global Power Plants
Dashboard Week – Day 3: Star Wars
Dashboard Week – Day 4: ABS Census
Dashboard Week – Day 5: AFL

THAT’S ALL FOLKS!

I hope you have enjoyed the post, and I will see you next time.

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