Tag: Layout Lattice

Data Visualization
Sanjay Matange 2
Micro 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

Data Visualization
Sanjay Matange 8
Comparative Histograms

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. 

Data Visualization
Sanjay Matange 4
GTL Layouts

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

Data Visualization
Sanjay Matange 22
Forest Plot with Subgroups

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

Data Visualization
Sanjay Matange 6
Compact Scatter Plot Matrix

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

Data Visualization
Sanjay Matange 0
Broken Y-Axis with SAS 9.2

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

Data Visualization
Sanjay Matange 4
Broken Y-Axis

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

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