topic Re: Graph Builder- Parallel help in Discussions

Graph Builder- Parallel help

kwmcm — Wed, 25 Feb 2026 15:10:38 GMT

Hello JMPers-

I would love to find a way to get out of Excel for making these graphs (see picture).

I know there is a parallel plot option and graph builder has a parallel option, but I'm struggling with how best to set up my data table for this and which one would be best.

Thanks!

Re: Graph Builder- Parallel help

Thierry_S — Wed, 25 Feb 2026 15:26:49 GMT

Hi,

The easiest way to achieve your goal is to have the data in a stacked configuration, with a Label/Curve ID (i.e., Total Event xxx) for each group. In GraphBuilder, you then choose your Month data as X, your data as Y, and the Label column as Overlay. You can configure your plot with different colors, Dots, Connecting lines, etc...

Let us know if you need a more detailed explanation.

Best regards,

Re: Graph Builder- Parallel help

christian-z — Thu, 26 Feb 2026 10:24:52 GMT

Just commenting to add some context regarding Parallel Plots, vs the more general Line Plots.

In JMP, Parallel Plots require every data point in each line to be in its own column. Your columns would be "January", "February", "March"... Each column would have one row per Year. This is a Wide data format.

If your data has one column called "Month", with entries "January", "February", "March"..., then the plot you need is a Line Plot, created using Graph Builder. This is a Tall data format.

How you overlay the lines from each Year will also depend on how your table is formatted. If you have a single "Month" column, plus an additional "Year" column, then @Thierry_S's approach is the way to go. If instead you have six "Month" columns, one for each Year, then you can just plot all those columns together on the same Line Plot. If you'd like to upload your data table, we could give a more specific answer.

A nice explanation of this topic and how to work with Wide and Tall data formats can be found in the Exploratory Data Analysis (EDA) Tutorial | JMP. Module 2, Section 2.6, "Restructuring Data for Analysis".