![]() 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. ![]() ![]() 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. ![]()
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