Graphically Speaking
Data Visualization with a focus on SAS ODS Graphics
The dimensions of your graph can affect the aspect ratio, which in turn, can subtly affect the perception of your viewers. When visual perception is of prime importance, the aspect ratio of the graph needs to be adjusted with care. This technique is known as ‘banking’, was introduced by William
A frequently asked question about the Survival Plot is: "How can I display the 'At Risk' data outside the plot area?". The survival plot rendered by the LIFETEST procedure displays the at risk data inside the plot data area. The reason for this is the potential for varying number of treatment groups. Here
In a previous article we discussed how to add axis aligned statistics table to a Lipid graph using GTL. Other graphs such as the Survival Plot also utilize the same technique to display the "at risk" statistics aligned by time or visits along the X axis. Often, we also need to display
The heatmap is a graphical representation of a table where colors are used to represent the values in the table. This is an effective graphic for finding the minimum and maximum values across the table and may surface patterns in the data. With the addition of the HEATMAPPARM statement to
Rick Wicklin's blog post on using abbreviations provided a solution for a long standing pain. When writing a new GTL program for simple graph, often the bulk of the code is boiler plate. To create a simple scatter plot of weight by height, you need to type in the following program:
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