Often in Tableau, Marks stack in a way that doesn’t allow the data to “breathe”. Jittering allows users to spread data in a way that gives visibility of more data, without compromising sight of the referential positioning on the axis. In short – it spreads out your dots.
As far as I can tell, no video content is currently available where jittering is explicitly the main topic. I stand corrected if people can provide links for inclusion!
First post is from Data Revelations and brilliantly demonstrates the impact of jittering on a tight, vertical scatterplot:
Data Revelations also posted this article:
Jeffrey Shaffer provides this richly detailed post:
And Mark Jackson reveals the power of the RANDOM() function:
Ryan Sleeper gives his typically well presented view on the subject:
Jeremy Poole is another regular #MakeoverMonday contributor with an eye for design, and clear technical Tableau expertise. His jittered Viz is here:
Andy Cotgreave‘s #MakeoverMonday submission that same week make equally appropriate use of Tableau jitter: