Instructions or resources for how to take multiple outputs (data tables and reports) from a script and combine them into a dashboard at the end of the script?

Abby_Collins14

Hi all,

 

I am fairly new to scripting in JSL. However, I have managed to create a script that creates some summary data tables and analysis output (reports I think) for the given data table I am running the script on. My issue is that all of the results are produced in their own window/data table/report. Is there a way to combine them into one nice dashboard or window at the end of my script so that it is the final and only thing produced? Eventually I would like to turn this into an add-in but have not made one before.

 

Thanks for any resources or suggestions on how to get started with this!

txnelson

Here are 3 ways to do this

Names Default To Here( 1 );
dt = 
// Open Data Table: Big Class.jmp
// → Data Table( "Big Class" )
Open( "$SAMPLE_DATA/Big Class.jmp" );

nw = New Window( "The Output",
	dis = dt << Distribution(
		Stack( 1 ),
		Continuous Distribution(
			Column( :height ),
			Horizontal Layout( 1 ),
			Vertical( 0 ),
			Process Capability( 0 )
		),
		Continuous Distribution(
			Column( :weight ),
			Horizontal Layout( 1 ),
			Vertical( 0 ),
			Process Capability( 0 )
		)
	);
	biv = dt << Bivariate( Y( :weight ), X( :height ), Fit Line( {Line Color( {212, 73, 88} )} ) );
);

Names Default To Here( 1 );
dt = 
// Open Data Table: Big Class.jmp
// → Data Table( "Big Class" )
Open( "$SAMPLE_DATA/Big Class.jmp" );


dis = dt << Distribution(
	Stack( 1 ),
	Continuous Distribution(
		Column( :height ),
		Horizontal Layout( 1 ),
		Vertical( 0 ),
		Process Capability( 0 )
	),
	Continuous Distribution(
		Column( :weight ),
		Horizontal Layout( 1 ),
		Vertical( 0 ),
		Process Capability( 0 )
	)
);
biv = dt << Bivariate( Y( :weight ), X( :height ), Fit Line( {Line Color( {212, 73, 88} )} ) );

nw = New Window( "The Output" );

Names Default To Here( 1 );
dt = 
// Open Data Table: Big Class.jmp
// → Data Table( "Big Class" )
Open( "$SAMPLE_DATA/Big Class.jmp" );


dis = dt << Distribution(
	Stack( 1 ),
	Continuous Distribution(
		Column( :height ),
		Horizontal Layout( 1 ),
		Vertical( 0 ),
		Process Capability( 0 )
	),
	Continuous Distribution(
		Column( :weight ),
		Horizontal Layout( 1 ),
		Vertical( 0 ),
		Process Capability( 0 )
	)
);
biv = dt << Bivariate( Y( :weight ), X( :height ), Fit Line( {Line Color( {212, 73, 88} )} ) );

report(dis) << journal;
report(biv) << journal;