As the name suggests, a scatter plot shows many points scattered in the Cartesian plane. Scatter plots are an effective way to give you a sense of trends, concentrations, and outliers that facilitate deeper investigations of your data.
A scatter plot graph presents lots of distinct data points on a single chart. The chart can be enhanced with analytics like cluster analysis or trend lines. It is created by plotting values of numerical variables as X and Y coordinates in the Cartesian plane.
Tableau takes at least one measure on the Rows shelf and one measure on the Columns shelf to create a scatter plot.
However, we can add dimension fields to the scatter plot which play a role in marking different colors for the already existing points in the scatter graph.
I am using the Sample-superstore Datasource to demonstrates this example, let us find the variation of sales and profit figures as the two axes of the Cartesian plane is distributed according to their Sub-Category.
Follow the below steps in the Tableau worksheet :
The following chart shows how profit and sales are distributed across the Sub-Category of products.
You can encode the dimension Sub-Category values by dragging the Sub-Category to the color Shelf under the Marks card. This chart shows the scatter points with different colors for each point.