If you use PROC SGPLOT to create ODS graphics, "ATTRS" are everywhere. ATTRS is an abbreviation of "attributes." Most options that change the attributes of a graphical element end with the ATTRS suffix. For example, the MARKERATTRS option modifies attributes of markers, the LINEATTRS option modifies attributes of lines, and
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US farmers grow a lot of food ... but did you know some of them also grow fuel for our vehicles? Follow along and you'll learn how much fuel they grow, and also learn some tips about plotting this type of data! These days most gasoline in the US has
According to the most recent data, the child poverty rate in China is 33.1% - the rate in Denmark is 2.9%. Where do other countries fall in between these two extremes? Let's build a graph and find out! (or, if you're not interested in the code - jump to the
You might have noticed I've been trying out SAS ODS Graphics lately, whereas in the past I mainly used SAS/Graph for my samples. In this blog post I step you through my latest fancy SGplot graph - hopefully you'll learn some tips & techniques, as you follow along. (I don't
As we're approaching the anniversary of Hans Rosling's passing, I fondly remember his spectacular graphical presentations comparing the wealth and health of nations around the world. He certainly raised the bar for data visualization, and his animated charts inspired me to work even harder to create similar visualizations! What better way
The SAS 9.4M6 software includes a new SGPIE procedure (preproduction) as introduced in the recent article - The SGPIE Procedure. In that article, I described the basic features of the two statements supported in the procedure, the PIE and the DONUT, with some examples. It is my humble opinion that
When a graph includes several markers or line styles, it is often useful to create a legend that explains the relationship between the data and the symbols, color, and line styles in the graph. The SGPLOT procedure does a good job of automatically creating and placing a legend for most
The 6th maintenance release of SAS 9.4 is now available for users. Along with it comes a new SG procedure - the SGPIE procedure (pre-production). The primary audience for the SG procedures has been the analytical user, for creating effective displays of analytical data. However, the rich feature set of these
A useful feature in PROC SGPLOT is the ability to easily visualize subgroups of data. Most statements in the SGPLOT procedure support a GROUP= option that enables you to overlay plots of subgroups. When you use the GROUP= option, observations are assigned attributes (colors, line patterns, symbols, ...) that indicate
The STYLEATTRS statement in PROC SGPLOT enables you to override colors, markers, line patterns, fill patterns, and axis break patterns in ODS styles, without requiring you to change the ODS style template.
Have you ever wanted to see examples of all of the output styles that SAS provides? You can run a program and look at the resulting file, styles.html. This post explains more about the styles that you will see including a discussion of attribute priority.
The SGPLOT procedure in SAS makes it easy to create graphs that overlay various groups in the data. Many statements support the GROUP= option, which specifies that the graph should overlay group information. For example, you can create side-by-side bar charts and box plots, and you can overlay multiple scatter
At SAS, we love data. Data is central to our corporate vision: to transform a world of data into a world of intelligence. We're also famous for enjoying M&Ms, but to us they are more than a sweet snack. They're also another source of data. My colleague Pete Privitera, with
WARNING: This blog post references Avengers: Infinity War and contains story spoilers. But it also contains useful information about random number generators (RNGs) -- tempting! If you haven't yet seen the movie, you should make peace with this inner conflict before reading on. Throughout the movie, Thanos makes it clear
The LOESS statement in PROC SGPLOT finds a fit function while making no assumptions about the parametric form of the regression function.
You can use penalized B-splines display a smooth curve through a set of data. The PBSPLINE statement fits spline models, displays the fit function(s), and optionally displays the data values.
The REG statement fits linear regression models, displays the fit functions, and optionally displays the data values. You can fit a line or a polynomial curve. You can fit a single function or when you have a group variable, fit multiple functions.
Survival plots are automatically created by the LIFETEST procedure. These graphs are most often customized to fit the needs of SAS users. One way to create the customized survival plot is to save the generated data from the LIFETEST procedure, and then use the SGPLOT procedure to create your custom
A few months ago, a user inquired about a chart that showed tumor response and treatment duration for each subject on 2 different planes of a 3D view. The data was really 2D, with one independent variable (the subject id) and two or more response values. I had provided an
PROC SGPLOT looks at the PROC statements, it looks at the data, and it writes a template that might depend on the data. If you want to understand how the graph is created, you need to look at the PROC SGPLOT code, the graph template and data objects that it constructs, and the final graph.
Usually, you use axis tables when there is a clear link between the rows of the axis table and the graph. I'll show how to use an axis table to create a table that is independent of the graph. This post also uses discrete attribute maps.
Slice, slice, baby! You've got to slice, slice, baby! When you fit a regression model that has multiple explanatory variables, it is a challenge to effectively visualize the predicted values. This article describes how to visualize the regression model by slicing the explanatory variables. In SAS, you can use the
In a previous article, I showed how to use SAS to perform mean imputation. However, there are three problems with using mean-imputed variables in statistical analyses: Mean imputation reduces the variance of the imputed variables. Mean imputation shrinks standard errors, which invalidates most hypothesis tests and the calculation of confidence
In the previous post, I discussed creating a 2D grid of spark lines by Year and Claim Type. This graph was presented in the SESUG conference held last week on SAS campus in the paper ""Methods for creating Sparklines using SAS" by Rick Andrews. This grid of sparklines was actually the
The 25th annual SESUG conference was held at in the SAS campus this week. I had the opportunity to meet and chat with many users and attend many excellent presentations. I will write about those that stood out (graphically) in my view. One excellent presentation was on "Methods for creating
When a plot is classified by one or more variables, the different classes values are displayed in the graph either by position or by using different plot attributes such as color, marker shape or line pattern. For plots that display the visual by a filled area (bar, bin, band, bubble,
This post provides a general macro that enables you to easily display special characters (Unicode) in axis table columns.