A user recently posted a question in the SAS communities forum about how to best display two measures by one classifier using a Bar-Line graph, where the scale of the two measures is vastly different. This got me thinking about various different ways to represent such data. Here are some of my thoughts,
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
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,
Most users of the ODS Graphics system have probably had the need to adjust the dimensions of their graph output at times. The ODS GRAPHICS statement makes this easy to do. This statement supports the WIDTH= and HEIGHT= options. If you set just one of these, the system will calculate
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
Bubble plots are often used to display social and economic data as Gapminder effectively does. With the addition of the BUBBLEPLOT statement to SAS 9.3, it is now possible to create bubble plots in SAS with a few lines of code: proc template; define statgraph bplot; begingraph; entrytitle 'Bubble Plot
This classic start to a romantic poem assumes that the correct colors are always assigned to the correct flowers; but, for those who create graphs for reports, consistent color assignment can be more of a challenge than an assumption. This challenge is particularly true for the display of group values.
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
