Box with Scatter Overlay

A common request we have been often hearing is for display of the distribution of data as a box plot, along with some detailed information overlaid.  For example, one may have ratings data of all the hospitals in a region by different specialty, and you want to view this distribution [...]

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Subgrouped Forest Plot with Font Attributes

Just a few days ago our “super-duper tech support trooper” called in asking for the link to the subgrouped Forest Plot with bold headings.  She was referring to this Forest Plot with Subgroups  I had posted earlier.  However, as you can see, while the subgroup values are indented from the subgroup headers, the headers [...]

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Bivariate response graph

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 [...]

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Beer, diapers and heat map

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 [...]

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Timeseries plots with regimes

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 [...]

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Custom confidence intervals

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 + [...]

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