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.
In the previous article on Getting Started with Vertical HighLow Plot, I described how we can use the HighLow plot to display the stock price by date. The HighLow plot is specifically designed for such use cases as shown below. The data is downloaded from the Nasdaq web site, and
This is the 7th installment of the Getting Started series. The audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets of information here. Starting with SAS 9.3 which was released 6 years ago, the SGPLOT procedure supports many new plot types including
Bar charts in SGPLOT procedure have some new features that everyone may not be familiar with. In this article we will create bar charts with color response on linear axes. Normally, the VBAR statement treats the x-axis as discrete, placing each unique value by itself, equally spaced on the x-axis.
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
Long category values occur frequently in real world use cases. This can happen with graphs for analysis of clinical research data, and also for graphs showing survey data where the question asked may be long (even a paragraph). Managing such long categories on the x or y axis is always
A few days ago, I posted an article on displaying first N bars from a data set. This is useful when the data is sorted by descending response, and only the first few values are significant. There were a few interesting comments, including one that was regarding the treatment of
Often we have a graph with many bars (or categories) on the x or y axis. These categories may be sorted by descending response such as frequency of a % value. An example with simulated data is shown below. title 'Actual Values by Name'; proc sgplot data=bars2 noborder; vbar name /
One key aspect of graphs used in the statistical or clinical research domains is the need to display numerical or textual information aligned with the data in the plot. Examples of such graphs are the Survival Plot or the Forest Plot. These graphs use the AXISTABLE statements available with SAS
Waterfall plots have gained in popularity as a means to visualize the change in tumor size for subjects in a study. The graph displays the reduction in tumor size in ascending order with the subjects with the most reduction on the right. Each subject is represented by a bar classified by
Recently, while reading up on Wilkinson and Cleveland Dot plots, I saw this excellent article by Xan Gregg on the topic. I also saw some interesting examples of Lollipop Charts, kind of a dot plot with statistics along with a drop line, maybe more suitable for sparse data. I thought
