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Data Visualization

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Data Visualization

Sanjay MatangeMarch 17, 2014 5

Getting Ready for SAS Global Forum 2014

The SAS Global Forum 2014 is just around the corner starting Sunday, March 23 and I am eager to attend creative presentations from SAS users on ODS Graphics. Adoption of SG procedures, GTL and ODS Graphics Designer is growing among users and I see many promising papers. Papers by users: Something for Nothing!

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Data Visualization

Sanjay MatangeMarch 1, 2014 3

Axes Synchronization

Often we need to plot multiple response variables on Y axes by a common variable on X axis. When the response variables are very different in magnitudes or format, we prefer to plot the variables on separate Y (Left) and Y2 (Right) axes. Here is some sample data with three response

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Data Visualization

Sanjay MatangeFebruary 22, 2014 2

DataLattice with gradient backgrounds

Classification panels are a very popular visual representation of the data, where the data is gridded by class variables all in one graph. This makes it easy to compare and contrast the data by these class variables. The SGPANEL procedure makes this easy, and most of the time it is

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Data Visualization

Sanjay MatangeFebruary 16, 2014 6

Layered graphs

Browsing graphs on the web, this graph caught my eye: The Arctic Sea Ice Volume Graph. My interest is not so much in the debate on Climate Change or Global Warming. To me, this graph has some interesting features that can help show the benefits of plot layering to

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Data Visualization

Sanjay MatangeFebruary 12, 2014 3

Sochi Medal Graphs

The attention of the world is now on Sochi and the Winter Games. Gold, Silver and Bronze medals are being earned by these amazing athletes, and everyone has an eye on the tally. Andre sent me a link to TRinker's R Blog, showing a graph of the current tally. Andre

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Data Visualization

Sanjay MatangeFebruary 9, 2014 10

Survival Plot

One of the most popular graph amongst clinical and pharmaceutical users is the Survival Plot as created from the LIFETEST Procedure. This is one graph that users most often want to customize. See Creating and Customizing the Kaplan-Meier Survival Plot in PROC LIFETEST - Warren F. Kuhfeld and Ying So, SAS Institute

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Data Visualization

Sanjay MatangeFebruary 2, 2014 4

Ways to include textual data columns in graphs

Most simple graphs generally include graphical representation of data using various plot type such as bar charts, scatter plots, histograms, box plots step plots and more. Both SG procedures and GTL provide many easy ways to create such graphs. However, for many real world use cases, we need to display related textual data in

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Data Visualization

Sanjay MatangeJanuary 26, 2014 0

More symbols, you say?

Users have often expressed the need for more marker symbols. ODS Graphics supports over 30 scalable marker symbols, both filled and empty. As mentioned in an earlier article, with SAS 9.4, filled markers can now have outlines and fills, and can also have special effects. Also with SAS 9.4, now you

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Data Visualization

Sanjay MatangeJanuary 18, 2014 9

Two-in-one Graphs

A large variety of graphs fall in the category of what I call a "Single-Cell" graph. This type of graph consists of a single data region along with titles, footnotes, legends and other ancillary objects. Legends and text entries can be included in the data area. The data itself is displayed

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Data Visualization

Prashant HebbbarJanuary 7, 2014 0

Data-driven Layouts in R's ggplot2 and ODS Graphics

Following Sanjay's cue (see “R U Graphing with SAS”), I tried creating data driven multi-cell graphs using R. I played with the lattice and ggplot2 packages. I found ggplot2 simpler to understand and use than lattice, but there are probably some trades offs. Data-driven layouts are referred to as 'faceting'

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