Data Visualization

Get the right information, with visual impact, to the people who need it

Data Visualization
Sanjay Matange 0
Multi-Group Series Plots

The series plot is a popular way to visualize response data over a continuous axis like date with a group variable like treatment.   Here is some data I made up of a response value by date, treatment, classification and company that makes the drug.  The data is simulated as shown in the attached program

Data Visualization
Andreas Becks 0
Das ist Visual Analytics!

So und nichts anders: Datenanalyse zur Vorbereitung der Entscheidungsfindung ist ein Spezialistenthema. Das muss ausschließlich den Profis überlassen werden. Daten in den Händen unbedarfter Fachanwender – vielleicht noch ohne IT- und Statistikwissen – sind gefährlich. Wenn Sie auch dieser Meinung sind, dann lesen Sie bitte nicht weiter!

Data Visualization
Sanjay Matange 0
Labeled curves

Often, the topic of an article is motivated by a question from a user.  A satisfactory resolution of the situation is usually a good indication of a topic that may be of interest to other users.  On such question was posed to me by a user this weekend.  He wanted to display fit

Data Visualization
Sanjay Matange 0
The BLOCK Plot

When you hear of a Scatter Plot or a Series Plot, you have a picture in your mind what we are talking about.  But one of the plot statements available in GTL, and soon with SGPLOT, is the BLOCK plot.  I am sure this leaves many users scratching their heads, wondering

Data Visualization
Sanjay Matange 0
G100 with SGPLOT

The GCHART procedure has a popular option called G100 to display all the subgroups in % format such that all the subgroup values add up to 100% for each group.   Each subgroup is labeled with its own % values. SGPLOT procedure does not such an option, but with a little bit of

Data Visualization
Jennifer Marchi 0
Everyday visual analytics

Imagine you're a business analyst who just discovered a pattern or trend that could significantly help your organization. What do you do next? You share it. Using SAS® Visual Analytics, you've published your results to the Web and mobile device before, but this time you'd rather work with your findings in

Data Visualization
Sanjay Matange 0
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

Data Visualization
Sanjay Matange 0
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

Data Visualization
Sanjay Matange 0
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

Data Visualization
Sanjay Matange 0
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

Data Visualization
Sanjay Matange 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

Data Visualization
Sanjay Matange 0
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

1 45 46 47 48 49 55

Back to Top