Today, I focus on the steps needed to make a graph that is composed of multiple heterogeneous components (in this case, dendrograms and a heat map).
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
Last week a user expressed the need to create a graph like the one shown on the right using SAS. This seems eminently doable using GTL and I thought I would undertake making this graph using SAS 9.3. The source data required to create this graph is only the
In reference to a previous article on Violin Plots, a reader asked about creating comparative mirrored histograms to compare propensity scores. While I had my own understanding of "Mirrored Histograms", I also looked this up on the web. Google showed many cases of two histograms back to back, either horizontally or vertically.
The Graph Template Language (GTL) provides you the ability to create complex graphical layouts. We have seen how to create a regular grid of cells based on one or more classification variables using the SGPANEL procedure. Each cell contains the same type of plot. This topic was covered in Dan's article on
During SAS Global Forum 2012, I had conversations with many SAS users who wanted to create Forest Plots. However, there was one new twist. The study names were subgrouped by categories like 'Age', 'Sex', etc., with multiple entries under each subgroup. The name of each study within the subgrouped was indented
The Scatter Plot Matrix is a great tool that provides a quick visual of potential associations between variables. This may provide the analyst some hints on how to proceed with the analysis. Matrix of lab values for liver function tests are commonly used in clinical research. The SGSCATTER procedure provides an easy way
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
This post is a result of an intriguing question posed by a user on the SAS communities' page. How to create a bar chart where the category is a combination of two variables var_1 and var_2 (each with values of '+' and '-'), and get a X axis that shows each
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
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
