For this week’s workout I’ve decided to keep things simple and focus on creating one powerful alternative visualization for comparison over time. I think we all tend to get stuck in a bar chart rut and struggle to find ways to spice things up. I tend to do this a lot, especially when I am …
Week 27: How do current year sales compare to previous? Read More
It seems lately I have been giving the easy challenges, so I wanted to spice it up with something harder. This week we are going to deal with a new challenge that requires some thinking on Dashboard Actions and Data Modelling. The goal of this challenge is to open up how we think about Tableau …
This week we start using the analytical tools — specifically clustering. Tableau’s built in cluster algorithm can be used to do customer segmentation. But instead of doing this by customer we are going to keep it simple by using sub-category and region. Intermediate click to view on Tableau Public Jedi click to view on …
This week I’m taking Workout Wednesday to the next level by including Tableau Prep in the equation! If you don’t have Tableau Prep, go get the 30 day trial from here. Prep was released just over a month ago, so it’s the perfect opportunity for us to ensure we’re strengthening our visualization skills and including …
Week 24: Do customers spend more on their first or second purchase? Read More
I’m back after a semi-extended leave, but hoping I have a good challenge for everyone. I love working with Dates, and have come across all sorts of use cases for comparing like-wise periods of time. The challenge below covers a use-case of trying to compare a Custom Date range, to the same number of days …
Week 23: How do Sales compare in the Current Period to the Previous Read More
He’s back again! Andy Kriebel shares with a problem that you can only use table calculations to solve Requirements Use only table calculations The bar length is the total sales of each state City must be included in the view. Display only one mark per state. Label each bar by the city with the highest …
Week 22: Which city contributes the most sales to each state? Read More
This week’s Workout Wednesday is an emoji map. The original idea comes from a Dark Sky emoji map of the weather. This worksheet has several major elements you’ll have to work through: Data modeling Percentiles Hex bins of geospatial data Working with emojis Customized “legend” Requirements Dashboard size: 600 x 600, 2 sheets (floating and …
This week I was cleaning up my desk and found some old notes where I had been jotting down ideas around visualizing distributions. At the time I was working with a data set where data points were concentrated around specific numbers and I was exploring ways to visually capture the concentration. I love looking at …
I’m back! This week we are going to be doing something simple, but has really great benefits. Often, when we share Tableau Public visualizations online and use “showVizHome=no” in the url, we get a viz that is in the Top Left Corner of our monitor. It doesn’t really look right being over there, we would …
If you’ve ever worked with web Google Analytics then you’ve probably seen the cohort analysis chart. To me its the coolest information provided. This week were back with an intermediate and jedi options. Both look basically the same but the jedi forces your thinking to a higher level! Intermediate Build a cohort analysis heat …
