Tips and Tricks
Entries in a legend are populated automatically based on the data. When creating a graph with group classification, the display attributes for each bar are derived from the GraphData1-12 style elements from the active style. The graph on the right shows you the result of creating an adverse event timeline
Last month I wrote an article on connecting multiple statistics by category in a box plot using SGPLOT. In the first article I described the way you can do this using overlaid SERIES on a VBOX using SAS 9.4, which allows such a combination. However, if you have SAS 9.3,
A customer wants to use PROC REG to fit a simple regression model but display in the fit plot markers that differentiate groups of individuals. Click on a graph to enlarge. Before we see how to do that, let's look at some simpler examples. The following step fits a linear
Let us start the new year by taking a trip back in history to SAS 9.2, first released in 2008, and the first SAS release that included the new ODS Graphics software including GTL and SG procedures. While we have recently released the third maintenance on SAS 9.4 (SAS 9.40M3),
An interesting question came up recently, where a colleague wanted to create a bar line chart with Revenue on the Y axis and Profit on the Y2 axis. The Revenues were all positive, but the Profit had positive and negative values. Some data I generated is shown on the right. Creating this
A Box Plot is very popular to view the distribution of an analysis variable with one or more classifiers. Also, everyone wants to customize the graph in different ways. One recent request was for creating a box plot by category and group along with the display of various statistics and overlaid
In the previous article I described a way to create a box plot with multiple connect lines using SAS 9.40M1 or later release . I created the graph using SGPLOT with VBOX and overlaid SERIES statements. Such an overlay of a basic plot on the VBOX statement is supported starting
This blog post is motivated by a post by a user on the communities page about creating a box plot with colored boxes by category and multiple connect lines. Normally, a box plot can be drawn by category, with a single connect line for one of the statistical values of
Recently a user posted a query on the SAS Communities page asking on how to create a histogram where the bins of the histogram are colored by the analysis variable using a three color ramp. Essentially, he wanted the bins to be colored from "Low" to "High" along the horizontal
I have written a new book on advanced ODS Graphics examples. It is available as a free PDF file on the web. It is in color, and all of the SAS code is available by double clicking a link at the beginning of each example. Advanced ODS Graphics Examples Update:
Early last year I wrote an article on how to create the "Most Frequent Adverse Events Sorted by Relative Risk" graph using the SGPLOT procedure. The key issue here is that such a graph normally displays two plots side by side, a scatter plot of the proportion values by treatment
All axis customization features are always welcome. Especially since SGPLOT statements can often be used to create non standard graphs, having the ability to customize the axes is important. This article presents ways in which you can customize the discrete axes. By default, the x axis will try to display the
Often there is a need to display more than one response simultaneously for a bar chart, series plot or a vector plot. SAS 9.40M3 adds the options you need to get such results using two new options COLORRESPONSE and THICKRESPONSE where applicable. The Bar Chart on the right shows the frequency
The SGPLOT procedure provides great tools to create all kinds of graphs for all domains from business to clinical. However, every so often, we need to create visuals that are not exactly graphs, but more like flow or network diagrams, or something entirely unique. Some users may have tools to
Often when the data includes some extreme difference in measures or some outliers, the plot of the data points can get skewed due to the need to accommodate the extreme outliers. The bulk of the observations get squeezed into a smaller region of the plot. While this may be useful
A few weeks back I saw a couple of posts on the Communities page from users wanting to find ways to compute the area of an general polygon and also the center of the area. I felt such features likely existed somewhere in the SAS/GRAPH set of procedures, so I asked our resident
In the past few weeks, I have written two posts on SG annotation and on saving and then modifying the graphs that analytical procedures produce: Modifying dynamic variables in ODS Graphics Annotating graphs from analytical PROCs Today, I finish this series with one more post. This one shows how you
When we first released GTL and SG Procedures back with SAS 9.2, Box Plots and Bar Charts would always treat the category axis as discrete. We realized soon enough that we need to support box plots on scaled interval axes for many clinical applications, and this was added in SAS
There are many ways to modify the graphs that SAS creates. Standard graph customization methods include template modification (which most people use to modify graphs that analytical procedures produce) and SG annotation (which most people use to modify graphs that procedures such as PROC SGPLOT produce). However, you can also
We all want to customize our graphs just so, and have our personal preferences. Over the past few releases SG Procedures and GTL have added options to customize the look and feel of our graphs. In this article, I will describe new ways in which you can customize your legends. We will also see some
If you are familiar with the output delivery system (ODS), then you know that you can modify the tables and graphs that analytical procedures display by modifying table and graph templates. Perhaps less familiar is the fact that you can also modify dynamic variables. Tables and graphs are constructed from
SAS 9.4 Maintenance release 3 was released on July 14. The ODS Graphics procedures include many important, useful and cool features in this release, some that have been requested by you for a while. In the next few articles, I will cover some of these features. Last time I covered
Big data is a popular topic, with multiple articles about the analysis of the same. Today, "Big Data" is measured in multiple of Tera Bytes, and SAS provides special software for analysis and visualization of Big Data - Visual Analytics. When data is very big, it may be meaningless, let alone inefficient, to plot
When ODS Graphics was first released with SAS 9.2 in 2008, a conscious effort was made to create graphs that were consistent and aesthetically pleasing out of the box. Features in the graph derive their visual attributes from the active Style. When Group classifications are in effect, the different classification
Bubble Plots provide additional ways to visualize your data. The plot supports display of multiple response characteristics of the data in one graph. Bubble plots were introduced with SAS 9.3 in GTL and SG Procedures. A bubble is drawn at each (x, y) point in the graph, and each bubble is
PharmaSUG 2015 in Orlando was held at the Renaissance had a record breaking attendance of over 650. Weather was great, except for a huge downpour on the evening of the last day. All the popular presenters were in attendance including Art Carpenter, Kirk Lafler, Arthur Li and many others. Presentations
A very common type of graph contains two series plot, where the user is expected to evaluate the difference visually. I saw one such plot on the web today shown on the right. This graph has two curves, one for malpractice premiums and one for claims, with a shaded band
MicroMaps are a powerful way to display data where the display includes small, lightweight maps to provide geographical information regarding the data. This geographical information gives clues to the relationship between the data that could lead to more insight. The SAS SG Procedures and GTL do not currently have built-in
Back in late 2012 I discussed a technique for Conditional Highlighting, where additional attributes can be displayed in a graph. In the previous article the goal was to display a graph of Response by Year by Drug. We used a cluster grouped bar chart to create the bar chart. We
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
