When you get something new, the hope is that it will be better than the old thing it's replacing. As I often do, I asked my Facebook friends to provide a random picture for my blog - in this case, a picture of one of their new/recent purchases. My friend
There are many ways to add more "visual impact" to your maps. Some techniques grab the users' attention, but often don't add anything useful to the message the map is trying to convey (such as 3D tricks, or flashy/gratuitous images and infographics). I encourage you to design maps that have
This article is motivated by a recent question on the SAS Communities board. This user wants to create a series or spline plot where the attributes of the line (color, thickness) can be changed based on another variable. In this case it may be a binary variable with "0" and
An earlier SGMAP blog used the BUBBLE statement to overlay point data on top of an Open Street Map. However, not all map features are points. Some are enclosed areas called polygons. Some map polygons share common borders such as states and counties. Others are separate, non-contiguous regions such as national parks
The previous post on Multiple Blank Categories showed how to include multiple blank categories on the axis. But, given the purpose for this was to separate different segments in the data, I also included ideas on how to segmented a discrete axis using reference lines or Block Plot. A similar idea
You can use a range attribute map to control the mapping of values in a continuous variable to colors. This post shows you how to use PROC SGPLOT to display multiple plots in the same graph and use range attribute maps.
MicroMaps are a powerful way to display data where the display includes small, lightweight maps to provide geographical information regarding the data. This geographical information gives clues to the relationship between the data that could lead to more insight. The SAS SG Procedures and GTL do not currently have built-in
In the previous two articles we discussed Discrete Attribute Maps, and how these can be used to ensure that group attributes like color are consistently mapped to group values regardless of their position in the data. Now, let us take a look at the attributes map that allows you to
Last week I wrote about how you can use the Discrete Attributes Map to ensure that group values with specific names are represented in the graph with specific colors or other visual attributes such as marker symbol or line pattern. This attributes map also supports a special keyword "OTHER" which can be used to
You created a graph of Response over Time by Severity where Severity has three levels, "Severe", "Moderate' and "Mild". How do you ensure that "Severe" is always red in your graph, regardless of the data order? Normally, when creating any graph with a GROUP role, the distinct group values are assigned the style
