Data Visualization

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Data Visualization
Sanjay Matange 0
High resolution graphs

Creating a graph that looks nice, with readable, high resolution fonts is important and should be easy to do.  With SG procedures and GTL, this is easy to do with a simple option, but not the default. Creating a high resolution (image) for a graph consumes higher system resources.  When working on a graph,

Data Visualization
Sanjay Matange 0
Graphs with class

When the data is classified by multiple class variables, you can certainly create graphs using BY variables.  This results in separate graphs, one for each level of the BY variable crossings.  Each graph is scaled by its own data subset, and comparisons across BY levels is harder. When comparisons need to be

Data Visualization
Dan Heath 0
Roses are red, violets are blue...

This classic start to a romantic poem assumes that the correct colors are always assigned to the correct flowers; but, for those who create graphs for reports, consistent color assignment can be more of a challenge than an assumption. This challenge is particularly true for the display of group values.

Advanced Analytics | Data Visualization | Programming Tips
Angela Hall 0
Celebrate your own free copy of my book "Building Business Intelligence Using SAS"

Well, we can't really afford to give everyone a free copy of the Building Business Intelligence Using SAS: Content Development Examples. But copies will be presented to two randomly selected participants of today's AllAnalytics.com eChat! Then you can be a part of the celebrations! Yes, that's right! People have been

Data Visualization
Sanjay Matange 0
Dashboard graphs revisited

Here is the promised follow up on the Dashboard graph.  In the previous article, I posted the code to create a panel of bullet KPIs displaying three different metrics.  For each KPI, I used 5 columns of data which resulted in a wide and inconvenient structure. A more convenient data structure is

Data Visualization
Sanjay Matange 0
Dashboard graphs

In this blog we have been discussing graphs useful for analysis of data for many domains such as clinical research, forecasting and more.  SG Procedures and GTL are particularly suited for these use cases.  So, when I came upon a dashboard image from Steven Few's Visual Business Intelligence blog, showing the

Data Visualization
Sanjay Matange 0
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

Data Visualization
Sanjay Matange 0
Comparative density plots

Recently a user posted a question on the SAS/GRAPH and ODS Graphics Communities page on how to plot the normal density curves for two classification levels in the same graph. We have often seen examples of a  distribution plot of one variable using a histogram with normal and kernel density curves.  Here is a simple example: Code Snippet:

Data Visualization
Dan Heath 0
A (tool)tip for band plots

Recently, I had a discussion with a user concerning the volume of imagemap data generated for an interactive,  web-based visual contain a large number of graphs. The large amount of imagemap data was causing problems with the current version of their web browser. The graphs consisted of either bar charts

Data Visualization
Sanjay Matange 0
Nested graphs

Here are a couple of bar charts showing the city mileage of cars by Type and Origin using the SGPLOT procedure from the sashelp.cars dataset. title 'Vehicle Mileage by Type'; proc sgplot data=cars; format mpg_city 4.1; vbar type / response=mpg_city stat=mean datalabel; xaxis display=(nolabel); run; title 'Counts by Country'; proc sgplot

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