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Red overlay edit3/1/2024 ![]() By doing this, the change broadcasts across all other variables.Īs I mentioned above, I’m going to fit a normal curve to each distribution and overlay those elements as well. Another option is, rather clicking on each individual red triangle menu, to press the Ctrl key while making the change for one variable. If the histograms appear in a vertical format, click on the red triangle menus next to each variable name and choose Display options > Horizontal Layout. ![]() If you see the histograms side by side instead of on top of one another, click on the red triangle menu next to Distributions and select Stack to see them as they are in the above image. The output will look like the following (I’ve removed some of the default output sections, like Quantiles and Summary Statistics, for simplicity): Place two numeric, continuous columns, say Displacement and Horsepower, in the Y, Columns box and click OK. The structure of Car Physical Data, which has a total of 116 rows, is as follows:įrom the data table, go to Analyze > Distribution. If you do not desire distributional curves in your graph, simply disregard the related steps. In addition to overlaying histograms, normal distribution curves are overlayed in this example. Below is an example using the Car Physical Data.jmp sample data table. The first method uses the Distribution platform. Overlaying the histograms allows you to compare the distributions in a more precise manner than viewing them separately. ![]() You might want to overlay histograms to review the similarities and/or differences between the distributions of two or more variables. There are two methods to overlay histograms in JMP, using the Distribution and Graph Builder platforms.
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