Sanjay Matange is R&D Director in the Data Visualization Division responsible for the development and support of the ODS Graphics system, including the Graph Template Language (GTL), Statistical Graphics (SG) procedures, ODS Graphics Designer and related software. Sanjay has co-authored a book on SG Procedures with SAS/PRESS.
ODS Graphics system was initially motivated by the need for high quality graphs for SAS Base, STAT, and other analytical procedures. Use of SG Procedures, ODS Graphics Designer and GTL by users too has initially focused on analytical graphs. But just like wheels on carryon bags that started for the specific needs of flight
Creating a graph that looks nice, with readable, high resolution fonts is important and should be easy to do. With SG procedures and GTL, this is easy to do with a simple option, but not the default. Creating a high resolution (image) for a graph consumes higher system resources. When working on a graph,
When the data is classified by multiple class variables, you can certainly create graphs using BY variables. This results in separate graphs, one for each level of the BY variable crossings. Each graph is scaled by its own data subset, and comparisons across BY levels is harder. When comparisons need to be
The Adverse Event Timeline graph posted earlier used the MARKERCHAR option of the SCATTER plot to draw the AE names. This option places a center-justified label at the marker position. There is no option in SAS 9.2 version to right-justify the label. Hence, we have to compute an offset in data
Here is the promised follow up on the Dashboard graph. In the previous article, I posted the code to create a panel of bullet KPIs displaying three different metrics. For each KPI, I used 5 columns of data which resulted in a wide and inconvenient structure. A more convenient data structure is
In this blog we have been discussing graphs useful for analysis of data for many domains such as clinical research, forecasting and more. SG Procedures and GTL are particularly suited for these use cases. So, when I came upon a dashboard image from Steven Few's Visual Business Intelligence blog, showing the
The graph showing the distribution of the maximum liver function test values by treatment for all participants in a study is commonly used for the analysis of safety data in clinical trials. The data is often structured in multiple columns (one per treatment) as below on the left, or grouped by
The parable of beer and diapers is often related when teaching data mining techniques. Whether fact or fiction, a Heat Map is useful to view the claimed associations. A co-worker recently enquired about possible ways to display associations or dependency between variables. One option is to show the dependency as a node
Here is the second installment of sample graphs from the SG Procedures book - The Adverse Event Timeline. This is a graph commonly used in patient profiles for clinical trials where we track the progress of a patient through a hospitalization event, tracking the dates and severity of the adverse events. The
Recently a user posted a question on the SAS/GRAPH and ODS Graphics Communities page on how to plot the normal density curves for two classification levels in the same graph. We have often seen examples of a distribution plot of one variable using a histogram with normal and kernel density curves. Here is a simple example: Code Snippet:
