The SGPLOT procedures includes features to add annotations to your graph in many different ways. Annotations provide you a flexible way to add features to your graph that are not available through the standard plot statements. Recently, I saw this graph on the web that caught my attention. Clearly, this looks like
Sankey Diagrams have found increasing favor for visualization of data. This visualization tool has been around for a long time, traditionally used to visualize the flow of energy, or materials. . Now to be sure, GTL does have a statement design for a Sankey Diagram which was implemented only in Flex for use
Significant progress in reduction of Cancer mortality is shown in a graph that I noticed recently on the Cancer Network web site. This graph showed the actual and projected cancer mortality by year for males. The graph is shown on the right. The graph plots the projected and actual numbers
Many users of SGPLOT and GTL know how to mix and match various plot statements to create graphs, sometimes in ways not originally intended. You are also aware that you can go a step beyond, and use these systems to create completely non-standard graphs such as the Spiral Plot, the Polar
This article is by guest contributor Lelia McConnell, SAS Tech Support. Creating Spaghetti Plots Just Got Easy Sample 38076: “Response by patient and treatment group” illustrates how to generate a spaghetti plot using the SGPLOT procedure. Sample 40255: “Plot of study results by treatment group” illustrates how to generate a
Spirals are cool. And useful. We use them every day without thinking about it. Every time the road turns from a straight line to a curve, we go through a transition spiral. Spirals allow us to change curvature in a steady increasing or decreasing fashion. Without a spiral, this
Browsing graphs on the web, this graph caught my eye: The Arctic Sea Ice Volume Graph. My interest is not so much in the debate on Climate Change or Global Warming. To me, this graph has some interesting features that can help show the benefits of plot layering to
I decided this year to get serious about my running. I started recording my distance for every run. I made a SAS data set and generated simple reports. After a few weeks, I set a goal of averaging one marathon a week (3.8 miles per day, 26.2 miles per week,
The SAS Global Forum conference last week was awesome. From the perspective of graphics, there were more papers from uses on graphics and ODS graphics then in recent times. I will post a summary shortly. One of the interesting papers was "#113-2013 - Creating Clark Error Grid using SAS/GRAPH and Annotate..."
You created a graph of Response over Time by Severity where Severity has three levels, "Severe", "Moderate' and "Mild". How do you ensure that "Severe" is always red in your graph, regardless of the data order? Normally, when creating any graph with a GROUP role, the distinct group values are assigned the style
