![]() Dashboard actions should add to the user experience, not detract from it. Often times its best to keep things simple. Dashboard actions that conflict or do contradictory things will be very confusing, and just because you can add in loads of interactive functionality doesn't mean you should. Some sheets you may want to filter, others to highlight and others still to show images, text or tables.īut be careful. This can be really powerful when you are designing for interactivity. You can use as many actions as you want, and have different types of actions that are all driven from the same sheet. The last thing I'm going to talk about is using multiple actions in the same viz. Ok so we've gone over a load of different action types and shown what can be done with them. Use Case 3: Creating a 'Cross-Blend' Filter Use Case 1: Basic Chart to Chart Filtering So rather than repeat what Tableau have already documented, I am going to show a variety of use cases for using Dashboard Actions and how to implement them. Tableau themselves provide a good run down of how to build in Dashboard Actions here. ![]() There are three types of dashboard action: Its not completely exhaustive, and its not particularly technical, but if you are fairly new to Tableau, or even an experienced user, I hope you will find it a useful guide.Ī dashboard action is an interactive element on a Tableau dashboard that is driven from the worksheets within that dashboard. So here's my rough guide to Tableau Dashboard Actions. Of these three Dashboard Actions have become my favourite as they are probably the most flexible and offer the most immersive experience. This is accomplished in three primary ways: Quick Filters, Parameters and Dashboard Actions. The other is by building in interactive features into the dashboard that people can play with to start changing the views of the data. One way I attempt to do this is by using, what I hope is, engaging visual design. Whether for this blog or for work, I strive to build dashboards that people will be able to use to explore the data at their own pace and discover their own insights. As you probably can tell by now, I really enjoying building data visualisations in Tableau.
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