Is it possible to select/highlight/color a subset of data in a parallel plot, while still seeing the remaining data?
Let's say, I have 10 input variables and 2 quality variables. I'd like to select on each of the 2 quality variables a region where quality is good and quality is bad. Ideally I'd like to color those regions green and red, and see what the other variables are doing. Then I may want to select a region in one of the input variables (e.g. throughput). I found out that I can select a region for one variable, but I don't know how to do this for multiple variables? Local filtering hides the remaining data, but that's not what I want.
So: color red where variable_1 between a AND b and variable_2 between c AND d and variable_3 between e AND f
color green where variable_1 < a OR > b and variable_2 < c AND > d and variable_3 < e AND > f
Thanks in advance for your help.
Hi @DiedrichSchmidt ,
Thanks for your reply. Below you can see 2 pictures that may clarify what I mean. These are screenshots from XDAT. Using sliders on multiple variables you can select data and color or filter them. In the second picture I used sliders on Density and Failure_Strain. Would like to do something similar in JMP.
Hi @stan_koprowski ,
This definitely get closer to what I'm looking for. Thanks for the help. One additional question: Can I set the local filter, by selecting an area on the y-axis of a single variable? Using the arrow, I can select an area, which highlights the selected data. Can I link/transfer this selection somehow to the local filter settings?
