Want to learn the steps it takes to answer analytical questions build a dashboard like this? Check out the webinar recording above!
When you embark on a Tableau dashboarding project, you are creating a new product. When Apple releases the newest iPhone, they aren’t putting out a rough draft. They’ve done extensive user and product testing to make sure its the best product possible. You can (and should) use the same design sprint methodology on your own projects to ensure success.
Showing the relationship between two values over a variety of categories or time periods is always a challenge.
It’s more complicated than you think. Let me explain.
In my first sample data set I have just the two columns of data below and 365 rows, one for each day of 2018.
I’ll be honest, when Tableau Dashboard Extensions first released with version 2018.2 earlier in the summer, I took a quick glance and moved on. I didn’t have time to dig into it. I kept hearing they “allow you to do the impossible” with dashboards and didn’t understand what they actually did. Fast-forward and I’ve had some time to dig. Here are a few practical things Tableau Dashboard Extensions can do.
Complex data questions are hard to answer with simple visuals. When questions have multiple components, a single graph may not be enough. For instance, imagine you have a table of data displaying average daily high temperatures by month that looks like this:
Let’s say you want to compare a value from today to the same day last year to evaluate performance…
Have you received the error “Cannot mix aggregate and non-aggregate arguments with this function.” in Tableau before?
When you have so many fields in your Tableau workbook that a scroll bar appears in your data window, you need to find a way to organize your fields.