Feature du jour
Have you ever wondered why sometimes a SGPLOT or GTL graph has markers drawn beyond the extreme tick and value on an axis and sometimes not? And, if you prefer your graphs to always have tick values on the axis that cover the whole range of data, how can you
One of the key benefits of using a horizontal bar chart is the ability to display statistics for each bar. This is a popular feature for the HBAR statement with the SAS/GRAPH GCHART procedure. So, let us review the options available to us to create such graphs using SGPLOT. The
Just this morning I received a request for a brief survey from Apple on my feedback about the new iPhone6+. Yes, I finally got one, dead last in the family. The survey followed the usual format, with a number of questions on what I like or dislike about it, with
Heat maps are a great way to visualize the bi-variate distribution of data. Traditionally, a heat may may have two numeric variables, placed along the X and Y dimension. Each variable range is sub divided into equal size bins to create a rectangular grid of bins. The number of observations
Getting consistent group colors across different data sets for a graph is a common topic of interest. Recently a user wrote in to ask how to ensure that specific groups "values" for a bar chart get specific colors. The group values may arrive in different order, or some may
The Mid-West SAS Users' Group conference in Chicago was a great success, with over 400 attendees and great weather. The conference hotel was in downtown with nice view of the river and a stroll down "Magnificent Mile". The city does a great job with the flower beds down Michigan Ave., along
A HighLow plot is very popular in the financial industry, often used to track the periodic movement of a stock or some instrument or commodity. The CandleStick Chart is one specific type of high low plot, purportedly originating in Japan for tracking of financial instruments in the rice trade. Creating a
Many users of SGPLOT and GTL know how to mix and match various plot statements to create graphs, sometimes in ways not originally intended. You are also aware that you can go a step beyond, and use these systems to create completely non-standard graphs such as the Spiral Plot, the Polar
The Third PharmaSUG-China conference was held in Beijing last week, and I had the pleasure to attend this excellent conference along with a record number of attendees. On Thursday, I presented two 1/2 day seminars on ODS Graphics. One titled "Advanced Topics in GTL" and another titled "Complex Clinical Graphs
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
For far too long we have been using the venerable Scatter Plot to do the work of placing text strings in the graph. For far too long we have used the Scatter Plot or the Block Plot to place axis aligned text in the graphs. It is time to
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
Often there are questions from users on creating histogram using a Log X axis. One such question came up this weekend, where a user wanted a histogram of her data using log axis. Before we get into her specific case, let us first clarify what we may want to see
In her article Creating Spaghetti Plots Just got Easy, Lelia McConnell has provided us a glimpse into some new useful features in the SAS 9.4M2 release. The term Spaghetti plots generally refers to cases where time series plots have to be identified by multiple group classifications. The support for the
This article is by guest contributor Lelia McConnell, SAS Tech Support. Creating Spaghetti Plots Just Got Easy Sample 38076: “Response by patient and treatment group” illustrates how to generate a spaghetti plot using the SGPLOT procedure. Sample 40255: “Plot of study results by treatment group” illustrates how to generate a
A few weeks back I wrote an article on Grouped Timeline for creating a stacked timeline for onset of different virus. The idea in that article was to display a stacked needle on a time axis using a HighLow plot. Such graphs are also referred to as EPI or Epidemic Curve
A couple of days back, Rick Wicklin forwarded me a link to an article on the BadHessian Blog on creating a Bar Chart using six different freeware packages in R, Python and Julia. The target bar chart was one produced by the Jetpack stat module with WordPress. The graph is shown below. The unique feature of
This post could be titled something like "Everything you wanted to know about Group Order in GTL - and more." The group ordering shows up in three different ways in your graph. Assignment of attributes (color, marker symbol) to group values. Position of group values in the graph. Display of the group
The topic of VENN diagrams had come up a while ago. At that time, I thought it may be interesting to build a proportional VENN diagram. But, reading up on VENN Diagrams, I learned that VENN diagrams represent all intersections of N sets, regardless of whether there are actually any observations in one
At PharmaSUG 2014 in San Diego, I had the pleasure of attending "Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT", by Stacey Phillips. In this paper, Stacey presented an interesting graph showing the effects of a study drug on patients' tumor size. Stacey
Recently, a user posed a question on how to plot stacked frequencies on a time axis. The data included frequencies of different viruses by week. The data is modified to preserve confidentiality and is shown below. The user's first instinct was to use a bar chart with stacked groups. This works for automatically computing frequencies
It was almost two weeks ago that I got started making a display for lab tests for a subject, based on a graph I saw on the web for an article on this blog. This graph is a part of a larger panel display of the lab values for a
Just getting back from PharmaSUG 2014 in San Diego. The conference was great, both inside and outside. The organizers ordered up some great weather for the Padres game and also for dinner on the flight deck of the Midway Carrier. Our focus here being on graphics, we were all extremely gratified by the presentations in
SG Procedures and GTL provide you with a large set of plot statements, such as BarChart, ScatterPlot, BoxPlot and more. You can use them for the intended purpose, and all is well and good. However, the real fun starts when you leverage a plot to do something that was not
The series plot is a popular way to visualize response data over a continuous axis like date with a group variable like treatment. Here is some data I made up of a response value by date, treatment, classification and company that makes the drug. The data is simulated as shown in the attached program
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
The GCHART procedure has a popular option called G100 to display all the subgroups in % format such that all the subgroup values add up to 100% for each group. Each subgroup is labeled with its own % values. SGPLOT procedure does not such an option, but with a little bit of
Often we need to plot multiple response variables on Y axes by a common variable on X axis. When the response variables are very different in magnitudes or format, we prefer to plot the variables on separate Y (Left) and Y2 (Right) axes. Here is some sample data with three response
Classification panels are a very popular visual representation of the data, where the data is gridded by class variables all in one graph. This makes it easy to compare and contrast the data by these class variables. The SGPANEL procedure makes this easy, and most of the time it is
Browsing graphs on the web, this graph caught my eye: The Arctic Sea Ice Volume Graph. My interest is not so much in the debate on Climate Change or Global Warming. To me, this graph has some interesting features that can help show the benefits of plot layering to
