Feature du jour
In the previous post on Broken Y-Axis, I reviewed different ways to display data as a Bar Chart, where the response values for some categories are many orders of magnitude larger than the other values. These tall bars force the display of other values to be squeezed down thus making it harder to compare
Often we want to display data as a bar chart where a few observations have large values compared to the rest. Comparison between the smaller values becomes hard as the small bars are squeezed by the tall bars. Here is an example data, and a bar chart showing the data. The large values
Recently, I came across an interesting graph showing Euro contries bank exposuro to GIIPS countries, as percent of GNP. Here is the graph: I thought I would see how far I can get in making a similar graph using SAS. I made up some data with response values for a Product x
Recently I posted an article on this blog on how to create bar charts with log response axes in response to a question by a user. This generated some feedback suggesting that bar charts should not be used with log response axes or with a baseline of anything other than
Getting the axis values just right generally requires some work, and the values you want can change from case to case. One such example was discussed by Dan Heath in his post on custom axis values. Here Dan shows the usage of non uniform axis values using the VALUES option on
On Friday before the conference, I presented a 1 day "developer led" seminar on SG Procedures and GTL, along with a discussion of new features for SAS 9.3. The experience was very gratifying as all users were now using SAS 9.2, and some were using SAS 9.3. We had a lively
Recently, a user asked about creating a Bar Chart of Value by Date, where the dates are displayed on a scaled interval axis. Consider this simulated data set of value by date and treatment shown below. This data set only has one value for each date and treatment combination. We can use the VBAR statement
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
ODS Graphics system was initially motivated by the need for high quality graphs for SAS Base, STAT, and other analytical procedures. Use of SG Procedures, ODS Graphics Designer and GTL by users too has initially focused on analytical graphs. But just like wheels on carryon bags that started for the specific needs of flight
This classic start to a romantic poem assumes that the correct colors are always assigned to the correct flowers; but, for those who create graphs for reports, consistent color assignment can be more of a challenge than an assumption. This challenge is particularly true for the display of group values.
Here is the promised follow up on the Dashboard graph. In the previous article, I posted the code to create a panel of bullet KPIs displaying three different metrics. For each KPI, I used 5 columns of data which resulted in a wide and inconvenient structure. A more convenient data structure is
The graph showing the distribution of the maximum liver function test values by treatment for all participants in a study is commonly used for the analysis of safety data in clinical trials. The data is often structured in multiple columns (one per treatment) as below on the left, or grouped by
The parable of beer and diapers is often related when teaching data mining techniques. Whether fact or fiction, a Heat Map is useful to view the claimed associations. A co-worker recently enquired about possible ways to display associations or dependency between variables. One option is to show the dependency as a node
Here is the second installment of sample graphs from the SG Procedures book - The Adverse Event Timeline. This is a graph commonly used in patient profiles for clinical trials where we track the progress of a patient through a hospitalization event, tracking the dates and severity of the adverse events. The
Recently a user posted a question on the SAS/GRAPH and ODS Graphics Communities page on how to plot the normal density curves for two classification levels in the same graph. We have often seen examples of a distribution plot of one variable using a histogram with normal and kernel density curves. Here is a simple example: Code Snippet:
In December of last year, the book "Statistical Graphics Procedures by Example" co-authored by Dan Heath and I was published. On the back cover, it proclaims "Free Code on the Web". Now, who can resist such an offer? Since most of the examples in the book have very short syntax,
Here are a couple of bar charts showing the city mileage of cars by Type and Origin using the SGPLOT procedure from the sashelp.cars dataset. title 'Vehicle Mileage by Type'; proc sgplot data=cars; format mpg_city 4.1; vbar type / response=mpg_city stat=mean datalabel; xaxis display=(nolabel); run; title 'Counts by Country'; proc sgplot
Recently we discussed the features of the Shiller Graph, showing long term housing values in the USA. To understand the features necesary in the SGPLOT procedure to create such graph easily, it was useful to see how far we can go using GTL as released with SAS 9.2(M3). I got the data Shiller Housing index data
Often it is useful to view multiple responses by a common independent variable all in the same plot. SGPLOT procedure and GTL support the ability to view two responses, one each on the Y and Y2 axes by one independent variable (X) in one graph. Yes, you can also have X
Recently a user posted a question on the SAS/GRAPH and ODS Graphics Forum about drawing a plot with custom confidence intervals . The user has a simple data set with category, response (mean) and custom lower and upper confidence intervals. The data looks like this: Robert Allison provided the code (proc gplot +
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
In a previous article we discussed how to add axis aligned statistics table to a Lipid graph using GTL. Other graphs such as the Survival Plot also utilize the same technique to display the "at risk" statistics aligned by time or visits along the X axis. Often, we also need to display
In this blog we will discuss many aspects of the SG Procedures. This article will cover some basic features and workings of the SGPLOT procedure to establish a baseline. The single-cell graph is the work horse for data visualization. From the simple bar chart to the complex patient profiles for clinical
The Unicode character table contains a vast array of characters and symbols that can be quite useful for making your text more descriptive in your graph. These characters can be inserted into any viewable string that you can define in the GTL or SG procedure syntax. These strings include titles,
The display of statistics, aligned with graphical plot of the data, is a common requirement for graphs, especially in the Clinical Research domain. In the previous post on Discrete Offset, I used an example of the Lipid Profile graph. Now, let us use the same example and add the display of statistics in
Often we have the need to display multiple columns of data in a graph, and we want to introduce some separation into their placement in the graph. Or, we want to display a bar chart of multiple response variables, and place the values side-by-side, like in a grouped bar chart. For both
