A jitter plot can be considered a variation of a strip plot. When you have a strip plot with overlapping marks Jitter Plot is the better way to represent the distribution of data in the chosen axis.
In this blog, I will demonstrate How to build a Jitter plot using the Random function. For this task, I am using the Superstore dataset and aim to create a Jitter plot for Quantity distribution for all customers by category.
Step 1: Create a Strip plot. Drag the Category dimension to columns and color. Next, Drag the Quantity measure to rows.
Step 2: Change the mark type to circle and Drag the Customer Name into detail.
Step 3: Create a calculated field and name it “Jitter_Cal”. This random () function will add a random value between zero to one for each row in the table.
Step 4: Drag the created calculated field (Jitter_Cal) to the column and place next to the category dimension. Then convert it to dimension.
Step 5: At last, I did some formatting such as removing heading and gridlines, and changing the colors and size of the mark to give add a better visualization effect.
I hope this blog helped you to build your Jitter plot.