Use the JMP Excel Import Wizard to import Excel data for simple and complicated Excel file structures.
See how to:
- Easily source the data from Excel files with data
- Anywhere in the worksheet, visible or hidden
- Multiple worksheets
- Merged cells
- Multiple row or hierarchical column headers
- Identify your Excel structure before import to plan your approach
- Cell-grid based – properties, formulas, etc. that may differ between any pair of cells
- Files that contain multiple worksheets
- Charts that “float” over worksheet or as separate tab
- Worksheets with multiple tables or random content anywhere
- Row 1 that contains anything (column headers, data, or nothing)
- Tables that have multiple rows of column header names (or none)
- Understand JMP table structure
- JMP file contains a single table
- Each Column
- Includes information that can be set after import (Data Type - Character or Number- and Modeling Type -Nominal, Ordinal or Continuous
- Column Information/Properties support interactive analysis
- Is named at top with unique name and reflects a single attribute or measure for all rows
- Each row is a single unit or observation, e.g., one experimental run outcome, one sample, one wafer, one patient, one event, etc.
- Row 1 contains first data point
- Use the JMP Excel Import Wizard
- Manage merged cells and repeating data
- Handle hidden, empty and nested columns
- Handle replicate data in spanned rows
- Handle multiple tables in one worksheet
- Combine multiple tables
- Handle different types of data using Format Patterns
- Handle Excel formulas because cells with formulas will import as the static value when Excel file saved, so consider doing calculations in JMP as formulas after import
- Save work to JMP17 Workflow Builder
Manage Importing Excel Merged Cells to JMP
Q: Sometimes when I import Numeric Data it imports as Character Data, for example dates or a string that has an exponent symbol.
A: If there is any Character (Non-number) data in a column, the entire column with be imported as Character Data and you will need to find the problem data and correct it before changing the Column Info>Data Type to Numeric.
Q: How can I correct the loss of leading zeros, like in zip codes such as 06518?
A: Here is the formula for adding leading zeros to Zip Code: Right(Char(:col), 5, "0").
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