For example, the line colors align conceptually to the crops (e.g., yellow for corn, amber for wheat), the reference line indicates the timing of the RFS authorization, and an annotation makes explicit the size of the corn-soy difference in 2007. Both graphs show the same trends, but the customized version above better communicates the message. It began as the graph below, produced by Graph Builder’s default settings. This graph has had a number of customizations to get it looking like this. Two years later, there is a 25.7 million acre difference between corn and soy that many have attributed to increased ethanol demand triggered by the RFS program.Ī customized line graph made in Graph Builder crops, with a reference line and annotation to show the authorization of the Renewable Fuel Standard (RFS) program in 2005. It shows acres planted across time for three U.S. Each graph is produced according to default settings (a number of which are themselves customizable in the Preferences), but many customization options are available to help you get the graph looking just how you want it.Ĭonsider the line graph below, which was made in Graph Builder from the Corn Wheat Soybean Production sample data in the Sample Data Library. Graphs throughout JMP are highly customizable. JMP’s graphs may be more customizable than you think And while the example is taken from Graph Builder, the discussion also applies to graphs produced in analysis reports. I won’t cover every possible customization option, of course, but I will highlight some of the most useful ones. Instead, I’m going to focus on customizing a graph’s appearance beyond the default settings applied by JMP, whether in Graph Builder or an analysis platform.
That’s a topic worthy of separate treatment and is covered extensively elsewhere (for example, in this Mastering JMP webinar). Note that I’m not going to cover the specifics of making graphs in Graph Builder here. The focus in this post is on customizing a graph’s appearance to meet specific aesthetic or technical needs the second post covers getting graphics out of JMP in high-quality image formats. This is the first of two blog posts on creating publication-quality graphs in JMP. For the most important reports and presentations, JMP graphs need to look great: customized and presented in high resolution. I think it's something to do with needing the "wait".JMP is a powerful data visualization tool, helping you visually explore and understand your data, as well as enabling you to effectively communicate your findings to others. I don't know why I have to break these into separate loops, but I tried not to. X( :XVar3, Position( 1 ), Combine( "Nested" ) ), X( :XVar2, Position( 1 ), Combine( "Nested" ) ), Build Basic Chart with nested X variables, no Y variables (yet) Find columns that match the terms in list "a" TimeString = "Last Updated " || Format( currentTime, "mm-dd-yyyy" ) I haven't had this many JMP crashes ever. The script works (had to pull some minor confidential stuff out), but isn't fast.Ĭompared to other JSL I've programmed, this is rather cludgy. And then finally titles.įor steps 4-6, I kept crashing JMP if I tried to do these things within a single loop. Then I loop through and add the elements.Ħ. I then loop through and add the variables.ĥ. I build a Graph Builder, and set my X axis with nested variables. These are the Y axis variables that exist that I can plot.ģ.
I build a list from the data table columns that match my search list. I have a list of column names that I want to put into the chart. I took the following approach (through iteration. It is meant to illustrate an approach that might work for you.
#JMP GRAPH BUILDER POINTS FRONT HOW TO#
Also, it is better for you to learn how to solve it yourself. You did not give enough information to attempt a solution. I realize that this answer is not a complete solution. Insert Into( points arg, Eval Expr( Y( Expr( c ) ) ) ) Insert Into( vars arg, Eval Expr( Y( Expr( col ), Position( 1 ) ) ) ) create expression for Points launch argument with first column create expression for Variables launch argument with first column, a list of columns to plot in Y role was previously created somehow I like this approach in this case because I have complete control and I can make the entire launch expression in one go.ĭt = Open( "$SAMPLE_DATA/Big Class.jmp" )
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