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The Unicode character table contains a vast array of characters and symbols that can be quite useful for making your text more descriptive in your graph. These characters can be inserted into any viewable string that you can define in the GTL or SG procedure syntax. These strings include titles,
The display of statistics, aligned with graphical plot of the data, is a common requirement for graphs, especially in the Clinical Research domain. In the previous post on Discrete Offset, I used an example of the Lipid Profile graph. Now, let us use the same example and add the display of statistics in
You can still get a paper proposal in for SAS Global Forum 2012. All you need is an idea. And probably some data. And also, some techniques for analyzing that data. Oh, and some conclusions would be helpful as well. I know: you are a busy person! You might not

~Contributed by Martin L. Olesen I began using SAS 6.04 in 1992 for my own projects and as a teaching assistant. Professionally, I have worked in SAS since 1997, after graduation. I use Base SAS, SAS/STAT and SAS/OR. I work in an Icelandic bank doing credit risk analysis and rating
Often we have the need to display multiple columns of data in a graph, and we want to introduce some separation into their placement in the graph. Or, we want to display a bar chart of multiple response variables, and place the values side-by-side, like in a grouped bar chart. For both

Drill-through to detail is the ability to right click within a cell of a web report or OLAP viewer and request the detail source records that make up that specific cell's measure. The maximum number of records, by default, is set to 300,000. Feasibly the report user could download all

Winter is still 6 weeks away, but already parts of the US are under feet, that’s right FEET, of snow. All of the reports I have read say that there is no correlation between this early activity and how brutal the winter will be. I wonder if there is any
Celebrity fame (I'm told) is overrated. Do you really want hordes of people to recognize you in the shopping mall or while you wait at a red light? Of course you don't. And that's why I advise you to never win the American Idol competition (nor should you lose with

JSM, Miami Beach, FL, July 31–August 3 Miami Beach in August is hot. Ridiculously hot. Almost as hot as our preview copies at this show. Conference goers were extremely excited about a number of our upcoming statistics titles, including Customer Segmentation and Clustering Using SAS® Enterprise Miner™, Second Edition, by

In a production environment, where dozens of SAS programs are run in sequence, often monthly or quarterly, and where logs can span thousands of lines, it’s easy to overlook the small stuff that can cause data hangovers. Recognize any of these? A temporary data set finds its way into subsequent
Welcome to this new blog on data visualization at SAS. Our goal is to engage with you on a discussion about analytical and business graphics for reporting and interactive applications. Our primary focus will be on ODS Graphics and related topics, but we look forward to a lively discussion on all things

On September 10, 2001, I was attending a law enforcement conference in Atlantic City, NJ. While I have attended hundreds of similar meetings, this conference stands out for several reasons. First, and most obvious, it was the eve of the day where most of our lives were indelibly altered. Second,

Now this is the way you sports fans should be thinking of using SAS! Of course there are no real specifics here, but you guys are pretty smart. Here's an older story about using SAS for sports, and I'm sure you've all seen Money Ball by now. Today's series entrant is

This blog post is a "mashup" of a couple of my previous posts, combining the lessons to create something brand new that I hope you will find useful. First, let's review what we know: SAS Enterprise Guide supports a scriptable object model, which allows you to write scripts or programs

We'll interrupt the series on Why Forecasts are Wrong, with a report from the inaugural Analytics 2011 conference, held last week in Orlando. A2011 drew over 1025 attendees (from 44 states and over 25 counties). The Analytics conference series features a wide range of topics (including forecasting, optimization, data mining, text