1. Select File > New > JMP Notebook.
2. Double-click “Untitled Notebook” and type “Big Class Correlation”.
3. Add a new block by selecting the red triangle and Add New Block > JSL.
4. Name the JSL block by right-clicking in the header and selecting Block Name.
Type “Run this JSL”.
5. Copy the following code and paste it into the JSL block:
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Run Script( "Bivariate" );
6. Create another block by selecting the red triangle and Add New Block > Text.
7. Copy the following text into the new text block:
# Shocking Correlation
Data reveals that *weight* can _increase_ with *height*.
8. Click the “Big Class Correlation” red triangle and select Show Embedded Log.
9. Click the “Big Class Correlation” red triangle and select Run All Scripts.
Note four things:
• In the JSL code, there are now annotations that can help you visualize what a script is doing, especially if commands stretch several lines.
• The output is displayed below the code block.
The normal output options are available, including “Platform Presets”.
• The text block markup is now rendered.
• The script actions are logged in the notebook log and not the regular JMP log.
If you save the notebook, the output is not saved.