cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • Instantly extract effect sizes, F-ratios, and FDR-adjusted p-values from your models with the Calculate Effects Sizes extension, available now in the JMP Marketplace!
  • New to JMP? Join us Sept. 23-24 for the Early User Edition of Discovery Summit, tailor-made for new users. Register now for free!
  • See how to use the JMP Marketplace – Free tools to expand JMP capabilities. Register. July 10, 2 pm US Eastern Time.

JMP Wish List

We want to hear your ideas for improving JMP. Share them here.
Choose Language Hide Translation Bar

Numeric Nominal Columns on Import

Problem

When JMP imports data, e.g., a CSV or an XLSX file, JMP guesses the appropriate Data Type and Modeling Type for each Column. This guess is helpful but is not (cannot be) perfect for every scenario. When a large table, e.g., one with hundreds of Columns, is imported, subtle imperfection of the guessing may lead to a lot of repetitive manual work afterwords. Specifically, JMP treats all Numeric Columns as Continuous.

 

Suggestion

I believe many users will benefit if some simple rule-based branching is added here. A specific example of such rules can be adding an option to treat Columns which

  • contains only integers
  • contains only a small number, e.g, 10 or less, of unique values

as Nominal.

 

I believe this applies to all recent versions, e.g., 14, 15, 16, and 17.

2 Comments
winfriedkoch0
Level IV

I support the above proposal but sufficient flexibility ahould be implemented, e.g. the columns mentioned in the above example could also be treated as ordinal instead of nominal.

Status changed to: Acknowledged

Hi @nao, thank you for your suggestion! We have captured your request and will take it under consideration.