MIP Logo

Dashboard Week | Challenge 5

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. 

“It’s already day 5!” or should I say, “its finally day 5!”. What an intense roller coaster the week has been. Many hours has been spent exploring new data, cleaning data, looking for new data, creating a story and putting that all into visualisation this week.

Today’s final challenge is given to us at 9:00 am and we have 5 – 6 hours to create a dashboard and write up a blog.

The Data

The data we received for the challenge is the challenge given to DSAU10’s application; Iowa Liquor Sales. The data itself is quite clean aside from a few nulls here and there. This could affect the outcome of the story you are trying to tell. Without much wrangling, I jumped straight into Tableau.

The Story

I’m not much of an alcohol drinker so the exploration of this data doesn’t appeal to me very much. So, I tried to think outside the box on what story the coaches in Data School hasn’t already seen. In the end, I came up with a comparison study. I wanted to compare alcohol consumption with a standard object everyone would know. So the first thing that came to mind was a swimming pool. Better yet, the size of an Olympic swimming pool.

The Viz

With the story in mind, I started to work on the viz. The story seems great and all however I didn’t know how I wanted to visualise it. What I initially had in mind, was some bars to show number of consumption. Then some text to show the comparison. But this seemed way too simple with no interaction. So i started to think more on what I could show, so I came up with categorising the different liquor sold, like whiskey, tequila and so forth. I then created a shape chart that shows how much pool can it fill up based on alcohol consumption by state. I then only show the top 10 and then created a divider on the row, basically like a swimming pool. I also added an image of a swimming in the background to show my comparison. And this is my end result:

Personal Feedback:

Overall, with 5 – 6 hours to create a dashboard from a new dataset, create a story and write a blog, I am very pleased with it. It is also the first time I used an image in the background and I am actually quite happy with how it turned out.

Check out my viz here.

Share this post