As you might have guessed from some of my previous blog posts, I'm an avid paddler. I like to paddle boats, and I like to try to go fast! And when I'm considering buying a new boat, it's only natural that I would analyze the data to make an informed
This article is motivated by a recent question on the Communities Web Site on creating a scatter plot with additional summary information. Recently, I described how to create a scatter plot with a box overlay. While such graphs have been discussed in earlier posts, this article provided a visual benefit
A Spider Plot is another way of presenting the Change from Baseline for tumors for each subject in a study by week. The plot can be classified by response and stage. Another way of displaying Tumor Response data was discussed earlier in the article on Swimmer Plot. This article is prompted
A Turnip Graph displays the distribution of an analysis variable. The graph displays markers with the same (or close) y coordinate by displaying the markers spread out over the x-axis range in a symmetric pattern. Recently, a question was posted on the SAS Communities page regarding such a graph. Here is an example of
Let us continue with our journey beyond standard plots and charts. Often we need to create some simple diagrams to visualize the connections between different entities such as patients and providers or even a social network. Many of you may not have a custom tool to create diagrams. But you have Base SAS, so
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
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
Last week a user wanted to view the distribution of data using a Box Plot. The issue was the presence of a lot of "bad" data. I got to thinking of ways such data can be visualized. I also discussed the matter with our resident expert Rick Wicklin who pointed
Often we need to plot the response values for binary cases of a classifier. The graph below is created to simulate one seen at http://www.people.vcu.edu/ web site of the shock index for subjects with or without a pulmonary embolism. In this case, the data is simulated for illustration purposes only. There
Often, the topic of an article is motivated by a question from a user. A satisfactory resolution of the situation is usually a good indication of a topic that may be of interest to other users. On such question was posed to me by a user this weekend. He wanted to display fit
A large variety of graphs fall in the category of what I call a "Single-Cell" graph. This type of graph consists of a single data region along with titles, footnotes, legends and other ancillary objects. Legends and text entries can be included in the data area. The data itself is displayed
Creating a Bar Chart with a table of statistical data aligned with the bars is a popular topic. With SAS 9.4, creating such graphs gets easier with the new AXISTABLE statement in GTL and SG procedures. But some use cases can flummox the latest gizmos. Such is the case I ran into recently. Here
In recent conversations with many SAS users at NESUG, SESUG and WUSS, a pattern emerges on the question of creating graphs with SAS or R. Many SAS users are aware of the new graph features in SAS that create high quality graphs with minimum fuss. But, many have not actually used
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
A frequent question we get from users is how to create a box plot with custom whiskers lengths. Some want to plot the 10th and 90th percentile, while other want the 5th and 95th percentiles. The VBOX statement in the SGPLOT procedure does not provide for custom whiskers. Also, unlike GTL,
SG procedures and GTL use a collision avoidance algorithm to position data labels for a scatter or series plot. This is enabled by default. The label is preferably placed at the top right corner of the marker. The label is moved to one of the eight locations around the marker to
A parametric bar chart in SG Procedure and GTL parlance is a simplified version of the regular bar chart, where the data is assumed to be summarized prior to its usage inside the SG procedures or GTL. So, multiple occurrences of the same category and / or group combination is
A commonly requested graph is a bar chart with response and targets. With SAS 9.3, the SGPLOT procedure supports new "parametric" plot statements called HBARPARM and VBARPARM. These statements are special versions of the HBAR and VBAR statements and they expect summarized data for each category or category+group combination. Also,
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
Charlie Huang recently posted an article on a new way to draw maps using SGPlot procedure. The basic idea is simple, just use the SCATTER statement to plot the (x, y) points from the data sets in the MAPS library. The GROUP option can be used to color the markers for each
