Strengthen your programming skills with tips and techniques from the experts
News outlets share stats and graphs that they source from public data. It takes data literacy skills to critique the stats you see, and investigate more.
By using data provided by a Game of Thrones fan, we use SAS to look at screen time for scene locations and characters in this crazy popular show.
This blog post could be subtitled "To Catch a Thief" or maybe "Go ahead. Steal this blog. I dare you."* That's because I've used this technique several times to catch and report other web sites who lift the blog content from blogs.sas.com and present it as their own. Syndicating blog
Regular expressions are a powerful method for finding specific patterns in text. The syntax of regular expressions is intimidating, but once you've solved a few pattern-recognition problems with regex, you'll never go back to your old methods.
SAS supports direct integration for Git from Base SAS (via functions), SAS Enterprise Guide, SAS Studio, and SAS Data Integration Studio. Read this article to learn how to use Git more effectively in your SAS processes.
Good news -- the SAS program that you wrote and put into production 10 years ago still works. Hey, it's SAS, so you probably take that for granted. But are those techniques from 2008 still the best way to accomplish your task? SAS 9.4, first released in 2013 and now
JSON is a popular format for data exchange between APIs and some modern databases. It's also used as a way to archive audit logs in many systems. Because JSON can represent hierarchical relationships of data fields, many people consider it to be superior to the CSV format -- although it's
I've collected accelerometer data with a third-party app. I've used some SAS tricks to import all of my data readings in a single step. Now I'm ready to create a report of these data in SAS Visual Analytics.
The SAS INFILE statement can read multiple text files in a single DATA step. Use file name wildcards (like * and ?) and a special FILENAME= option to keep track of which records come from which files.
To succeed in any data-focused hackathon, you need a robust set of tools and skills – as well as a can-do attitude. Here's what you can expect from any hackathon: Messy data. It might come from a variety of sources, and won't necessarily be organized for analytics or reporting. That's
