The topic of cluster groups comes up often. By cluster group I am referring to the feature in bar charts where the group values are displayed side by side. With SAS 9.3, SG Procedures support stack or cluster grouping for Bar Charts and overlay or cluster grouping for all other
Here are a couple of bar charts showing the city mileage of cars by Type and Origin using the SGPLOT procedure from the sashelp.cars dataset. title 'Vehicle Mileage by Type'; proc sgplot data=cars; format mpg_city 4.1; vbar type / response=mpg_city stat=mean datalabel; xaxis display=(nolabel); run; title 'Counts by Country'; proc sgplot
Recently a user posted a question on the SAS/GRAPH and ODS Graphics Forum about drawing a plot with custom confidence intervals . The user has a simple data set with category, response (mean) and custom lower and upper confidence intervals. The data looks like this: Robert Allison provided the code (proc gplot +
Let us ring in the new year with something simple and useful. A recent question by a user over the holidays motivated this article on what is likely a commonly used graph. We want to compare the preformance of two categories along with a third measure. This could be something like "How
In Simple maps can go a long way, we discussed some techniques to create simple outline maps from map datasets in the MAPS library using GTL. Now, let us take this a step further to do something more useful with this feature. For some graphs, the map information is an essential part of the
A new book from SAS Press, "Statistical Graphics Procedures by Example" co-authored by Dan Heath and I has now been published (phew!). For both Dan and I, this was our first foray into writing a book, so it was highly educational to say the least. The key idea behind the presentation
In this blog we will discuss many aspects of the SG Procedures. This article will cover some basic features and workings of the SGPLOT procedure to establish a baseline. The single-cell graph is the work horse for data visualization. From the simple bar chart to the complex patient profiles for clinical
