This changes the range of the jitter axis and the results now look like this. Now you have a dynamic way to control the spread of the data by inputting values in your parameter. Then, add this to the jitter plot calculation as shown in the screenshot.
If, however you want greater control over the jittering, you can do this by using a parameter to control the spread and including the modulo function in the calculation.įirst, create a parameter to control the spread as shown in the example below. Now notice how this spreads out the marks (countries) in the view.īy default, Tableau sets the spread of the jitter when you make use of the Random function. To do this open a calculation window and simply type in the function RANDOM ().Īfter creating this, bring the calculated field to the view in this case to the column shelf. The simplest approach to spreading overlapping jitter plot marks is to use the hidden Random function within Tableau. There are two approaches you can use to jitter plot marks that overlap on top of each other 1. If, for example, your data set is measuring when and where gas emissions were detected by a sensor, a jitter plot technique would move overlapping marks to a new point (i.e. When you’re working with geographic data, it is not advisable to use the jitter plot technique when the exact location of a mark is important to the analysis. Using the jitter plot technique in this way allows you to separate marks or dots into different columns. When to and not to use a jitter plot? Use jitter plot when…Īs stated, you may want to spread the dots in your distribution when they are packed together to allow for easy reading of the dots that overlap. The way to solve this is to spread the data points using a jitter plot technique. While it may be easy to spot an outlier, it is not easy however to see details of most countries in the view. This is due to the fact that several data points overlap as shown below. The problem with using the circle view for this dashboard was the fact that I had just one measure (Selected currency) to work with and as a result, it was difficult to see all the countries in the distribution.
I decided on a circle view to display this type of data so it will be easy to split the Big Mac index among the various countries between those countries whose currencies were undervalued and those that were not. When shouold you use a Jitter plot? In week 31 of the MakeoverMonday challenge hosted by Zen masters Andy Kriebel and Eva Murray on the Big Mac index, I built a visualization that made use of a jitter plot to show the purchasing power parity among nations.
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