An UpSet plot is used to visualize intersections of sets. In this post, we will illustrate techniques to create this plot using the Graph Template Language (GTL). We assume that you are familiar with GTL. From the point of view of construction, we leverage the LATTICE layout available in GTL
The REG statement fits linear regression models, displays the fit functions, and optionally displays the data values. You can fit a line or a polynomial curve. You can fit a single function or when you have a group variable, fit multiple functions.
PROC SGPLOT looks at the PROC statements, it looks at the data, and it writes a template that might depend on the data. If you want to understand how the graph is created, you need to look at the PROC SGPLOT code, the graph template and data objects that it constructs, and the final graph.
Usually, you use axis tables when there is a clear link between the rows of the axis table and the graph. I'll show how to use an axis table to create a table that is independent of the graph. This post also uses discrete attribute maps.
You can modify all of the components of the graphs that analytical procedures produce: the data object, graph template, and the dynamic variables. This post takes a closer look at dynamic variables (which you can see by using PROC DOCUMENT) and data objects and explores graphs that are constructed from more than one data object.
When a plot is classified by one or more variables, the different classes values are displayed in the graph either by position or by using different plot attributes such as color, marker shape or line pattern. For plots that display the visual by a filled area (bar, bin, band, bubble,
PROC SGPLOT displays titles inside the graph. If you want to display a title inside the graph and a different title outside the graph, you can use the ODS LAYOUT or the GTL. The ODS LAYOUT gives you precise control over your output and enables you to display multiple graphs and tables in each page.
You can use a range attribute map to control the mapping of values in a continuous variable to colors. This post shows you how to use PROC SGPLOT to display multiple plots in the same graph and use range attribute maps.
In the previous article on managing legends, I described the way to include items in a legend that may not exist in the data. This is done by defining a Discrete Attribute Map, and then requesting that all the values defined in the map should be displayed in the legend. In
Entries in a legend are populated automatically based on the data. When creating a graph with group classification, the display attributes for each bar are derived from the GraphData1-12 style elements from the active style. The graph on the right shows you the result of creating an adverse event timeline
