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While not on the same level of Rush, I do fancy myself a fan of The Who. I'm particularly fond of the band's 1973 epic, Quadrophenia. From the track "5:15": Inside outside, leave me alone Inside outside, nowhere is home Inside outside, where have I been? The inside-outside distinction is rather apropos
The foods we eat play a huge role in how well our body functions, positively or negatively. If you are training for a sports event or competition, you want to make sure your body is functioning at its peak! This could be a 5K, 10K, Triathlon, Spartan Race, or any
A family and its members represent a simple hierarchy. For example, the Jones family has four members: A text file might represent this hierarchy with family records followed by family members' records, like this: The PROC FORMAT step below defines the codes in Column 1: proc format; value $type
A few weeks back I saw a couple of posts on the Communities page from users wanting to find ways to compute the area of an general polygon and also the center of the area. I felt such features likely existed somewhere in the SAS/GRAPH set of procedures, so I asked our resident
Do you use an array of tools to perform predictive analytics on your data? Is your current tool not flexible enough to accommodate some of your requirements? SAS Enterprise Miner may be your solution. With growing number of data mining applications, having a tool which can do variety of analysis
In my last post, I noted that the flexibility provided by the concept of the schema-on-read paradigm that is typical of a data lake had to be tempered with the use of a metadata repository so that anyone wanting to use that data could figure out what was really in
As a linguist, I am fascinated with words, their meanings and use. So when I recently saw the words “learning analytics” in a conference paper title, I started thinking about the prevalence of the word “analytics” itself. In the last decade, we have preceded “analytics” with many modifiers referring to
En principio, Hadoop no parece ser un tema como para discutir en una sala de juntas de una grande organización. De hecho hasta hace poco, no era común escuchar esta palabra fuera de los departamentos de tecnología. Ahora hablar de hadoop no se está volviendo usual sólo en las salas
I recently saw an article on washingtonpost.com showing what methods are used to generate electricity in each state. The data was interesting enough that I decided to try my hand at graphing and mapping it with our SAS software. Read along to see what I kept the same, and what
SAS users often ask me about the best way to group or bin their data in preparation for additional analysis. Depending on the need, there are several ways to achieve this using SAS procedures or other SAS processing. Creating user-defined formats with PROC FORMAT or using Data step processing are
The intersection of data governance and analytics doesn’t seem to get discussed as often as its intersection with data management, where data governance provides the guiding principles and context-specific policies that frame the processes and procedures of data management. The reason for this is not, as some may want to
In my first blog post in the Education meets Big Data blog series, I explained the need for Statewide Longitudinal Data Systems(SLDS). In the blog post following, I shared an interview with Armistead Sapp, one of the authors of the book, "Implement, Improve and Expand Your Statewide Longitudinal Data System." In this
Everyone who codes with SAS knows what the SASWORK directory space is, and everyone who has ever managed a medium-large installation knows that you need to monitor this space to avoid a huge buildup of worthless disk usage. One of the most common snarls happens when large SAS jobs go
Machine learning is all about automating the development process for analytical models. One way to extend the use of machine learning is to broaden your library of machine learning algorithms. Another way is to scale your machine learning process by reducing the time required to process machine learning algorithms on
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up