If you use a parameter to swap between two worksheets in a Tableau dashboard, you lose the ability to use the worksheets’ default color legends effectively. Check out this video to learn a trick you can use to create a dynamic color legend which always shows an accurate data range despite which worksheet is showing.
I frequently hear the question, “Can Tableau show my missing data?”. Generally when I get this question, people want to either see a 0 or a blank where there should be missing data.
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.
When using Tableau, you might occasionally create a worksheet that uses dimensions only. Imagine you created a worksheet displaying an organizational hierarchy that looks like this:
When embarking on a data communication project, you might not always have all the data you need to create a prototype in a timely manner. I often generate realistic, placeholder data sources so I can design a dashboard and get feedback, even if the actual data isn’t ready for display yet.
If you're familiar with Level of Detail expressions in Tableau, you probably know that the FIXED function gets all the love. However, there are some great reasons to consider using the other two as well. Check out the above video to learn when to use the EXCLUDE function.
Have you ever found that Tableau Desktop took a long time to load a worksheet or apply a filter? You might have found yourself wondering “Is my data source too large for Tableau?” The answer is…“maybe”.
Yes, but it takes some wrangling. Unlike Alteryx, there is no “fuzzy match” tool in Tableau Prep, but there is a method you can employ which will help (though, like all fuzzy matching, it isn’t perfect).