Motivated by Ted Conway's post on creating a sequence of graphs showing the Solar Eclipse, I thought it would be fun to extend his code and create a gif animation. I used a frame count to 81, and used the printerpath feature to create the animation using SGPLOT with BY
Funnel graphs are useful to track the number of visitors passing through various pages of a website or the number of patients in a study. The graph shows visually the retention of users or subjects in a study across levels of a marketing cycle or the study. One common representation
Over the past few weeks I have heard about the "Consort Diagram". This was mentioned in a Communities article, and also by a couple of users separately. This topic was also covered by Anusha Mallavarapu and Dean Shults from Cytel in a poster at PhUSE 2016 as shown on the
Last week I posted an article on displaying polar graph using SAS. When the measured data (R, Theta) are in the polar coordinates as radius and angle, then this data can be easily transformed into the XY space using the simple transform shown below. x=r*cos(theta * PI / 180); y=r*sin(theta * PI
Returning from my recent visit to India, I was reading an article that included a graph with a series plot where the color of the series itself changed based on the Y response. Now, for sure, the SAS 9.40M3 SERIES plot in the SGPLOT procedure supports color response, but that applies
The SGPLOT procedures includes features to add annotations to your graph in many different ways. Annotations provide you a flexible way to add features to your graph that are not available through the standard plot statements. Recently, I saw this graph on the web that caught my attention. Clearly, this looks like
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
Often, we have data where most of the observations are clustered within a narrow range, with a few outliers positioned far away. When all the data is plotted, the axis is scaled to accommodate all the data, thus skewing the scale. Techniques to handle such data have been addressed earlier
SAS 9.4 maintenance release M2 was released early in August. This release contains some exciting new features in GTL and SG Procedures. In this article, I will describe some of the new options added to the existing plot statements. Note, I will use the SG examples here, but these are
The SAS Global Forum 2014 is just around the corner starting Sunday, March 23 and I am eager to attend creative presentations from SAS users on ODS Graphics. Adoption of SG procedures, GTL and ODS Graphics Designer is growing among users and I see many promising papers. Papers by users: Something for Nothing!
