In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars. This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue
The SG procedures and GTL statements do a lot of work for us to display the data using the specified statements. This includes setting many details such as arrow heads, line patterns etc, including caps. Often, such details have a fixed design according to what seems reasonable for most use
We'll take a deeper dive into understanding item stores--the files in which compiled templates are stored--and ways in which you can access them. At the end, I will show you one of my new examples: displaying percentages in the Kaplan-Meier failure plot.
In the previous post, I discussed creating a 2D grid of spark lines by Year and Claim Type. This graph was presented in the SESUG conference held last week on SAS campus in the paper ""Methods for creating Sparklines using SAS" by Rick Andrews. This grid of sparklines was actually the
The 25th annual SESUG conference was held at in the SAS campus this week. I had the opportunity to meet and chat with many users and attend many excellent presentations. I will write about those that stood out (graphically) in my view. One excellent presentation was on "Methods for creating
The South East SAS Users Group meeting wound up yesterday. The 25th anniversary conference was held on SAS Campus and it provided a great opportunity to meet with many enthusiastic SAS users and attend many informative presentations. More on this in a follow-up article. During one of these presentations, Mary
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.
Once in a while you run into a pesky situation that is hard to overcome without resorting to major surgery. Such a situation occurs when you have a stacked bar chart with a discrete legend positioned vertically on the side of the graph. A simple example is shown below. title
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,
Plot statements included in the graph definition can contribute to the legend(s). This can happen automatically, or can be customized using the KEYLEGEND statement. For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation
