I have previously shown how to overlay basic plots on box plots when all plots share a common discrete X axis. It is interesting to note that box plots can also be overlaid on a continuous (interval) axis. You often need to bin the data before you create the plot.
Box plots summarize the distribution of a continuous variable. You can display multiple box plots in a single graph by specifying a categorical variable. The resulting graph shows the distribution of subpopulations, such as different experimental groups. In the SGPLOT procedure, you can use the CATEGORY= option on the VBOX
Often we see bar charts showing revenues or other related measures by a classifier using a visual of a stack of coins. Such visuals are not strictly for the purposes of accurate magnitude comparisons, but more for providing an interesting visual to attract the attention of the reader. In other words -
Last week I discussed how to create spaghetti plots in SAS. A spaghetti plot is a type of line plot that contains many lines. Spaghetti plots are used in longitudinal studies to show trends among individual subjects, which can be patients, hospitals, companies, states, or countries. I showed ways to
At the 2013 SAS Global Forum, I presented a paper titled "Make a Good Graph" which reviewed some of the features that make for a good graph. This paper presents an aggregation of ideas from various sources, including some recommendations from thought leaders in the graphics arena such as Edward Tufte,
What is a spaghetti plot? Spaghetti plots are line plots that involve many overlapping lines. Like spaghetti on your plate, they can be hard to unravel, yet for many analysts they are a delicious staple of data visualization. This article presents the good, the bad, and the messy about spaghetti
The advent of the AXISTABLE statement with SAS 9.4, has made it considerably easier to create graphs that include statistics aligned with x-axis values (Survival Plot) or with the y-axis (Forest Plot). This statement was specifically designed to address such needs, and includes the options needed to control the text attributes of
A Volcano Plot is a type of scatter-plot that is used to quickly identify changes in large data sets composed of replicate data. In the clinical domain, a Volcano Plot is used to view Risk difference (RD) of AE occurrence (%) between drug and control by preferred term. One example of
CTSPedia is a valuable resource for clinical research "... initiated to form an information resource created by researchers for researchers in clinical and translational science to share valuable knowledge amongst local researchers". This site includes a section on statistical graphs where you can find valuable information and a library of standardized
A few weeks ago I posted an article describing how to display simple Network Diagrams with Curved Links using SGPLOT procedure. The key requirement is that the node positions have to be computed by user. Often, for simple diagrams, nodes can be positioned using a simple layered layout. Separately, I also
We've just celebrated Earth Day, but I'm here to talk about Jupyter -- and the SAS open source project that opens the door for more learning. With this new project on the github.com/sassoftware page, SAS contributes new support for running SAS from within Jupyter Notebooks -- a popular browser-based environment
For a long time, Starbucks represented to me as the good coffee cup, with me paying upwards of $4 for a Latte. But on a recent visit to San Francisco, my son introduced me to a few other options. Philz crafts a great cup of java, with the barista making
Recently a user was working with the HBAR statement with cluster groups with SG procedures. User wanted to see the group values on the axis. SGPLOT does not display multi level axes as these are shared with different plot types. However, with SGPLOT, there is often a way to get
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
In a voting contest, is it possible for a huge population to get behind a ridiculous candidate with such force that no other contestant can possibly catch up? The answer is: Yes. Just ask the folks at NERC, the environmental research organization in the UK. They are commissioning a new
You can use histograms to visualize the distribution of data. A comparative histogram enables you to compare two or more distributions, which usually represent subpopulations in the data. Common subpopulations include males versus females or a control group versus an experimental group. There are two common ways to construct a
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
Last week I posted an article on creating Infographics using SAS. The interest shown by the SAS community in this topic came as a surprise. Also, it so happened by coincidence, a SAS users also called into Tech Support just about the same time with a query about creating Infographics type graph
Last week a question was posted on the communities page about creating Box Plots where the width of each box is proportional to the frequency for the category. The comment was that PROC BOXPLOT can create such a graph, but there seems no way to do this using the SGPLOT
Infographics are all the rage today. Open any magazine or newspaper and we see data and numbers everywhere. Often, such information is displayed by adding some graphical information to add context to the data. A couple of good examples are Communicating numeric information, and Facts about Hot Dogs. Riley Benson, our UX
In the previous article on managing legends, I described the way to include items in a legend that may not exist in the data. This is done by defining a Discrete Attribute Map, and then requesting that all the values defined in the map should be displayed in the legend. In
Last week I showed how to use PROC EXPAND to compute moving averages and other rolling statistics in SAS. Unfortunately, PROC EXPAND is part of SAS/ETS software and not every SAS site has a license for SAS/ETS. For simple moving averages, you can write a DATA step program, as discussed
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
A common question on SAS discussion forums is how to compute a moving average in SAS. This article shows how to use PROC EXPAND and contains links to articles that use the DATA step or macros to compute moving averages in SAS. In a previous post, I explained how to
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,
In SAS, the aspect ratio of a graph is the physical height of the graph divided by the physical width. Recently I demonstrated how to set the aspect ratio of graphs in SAS by using the ASPECT= option in PROC SGPLOT or by using the OVERLAYEQUATED statement in the Graph
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),
I began 2016 by compiling a list of popular articles from my blog in 2015. This "People's Choice" list contains many interesting articles, but some of my personal favorites did not make the list. Today I present the "Editor's Choice" list of articles that deserve a second look. I've grouped
Weighted averages are all around us. Teachers use weighted averages to assign a test more weight than a quiz. Schools use weighted averages to compute grade-point averages. Financial companies compute the return on a portfolio as a weighted average of the component assets. Financial charts show (linearly) weighted moving averages
