Category: SAS

How to conditionally terminate a SAS batch flow process in UNIX/Linux

In automated production (or business operations) environments, we often run SAS job flows in batch mode and on schedule. SAS job flow is a collection of several inter-dependent SAS programs executed as a single process. In my earlier posts, Running SAS programs in batch under Unix/Linux and Let SAS write […]

How to conditionally terminate a SAS batch flow process in UNIX/Linux was published on SAS Users.

Metacoda Plug-ins Batch Interface Setup Utility

This is a short post to let those readers who run or schedule Metacoda Plug-ins in batch know that, with the recent Metacoda Plug-ins 6.1 R1 release, we have published a GitHub repository to help with setup of the Metacoda Plug-ins Batch Interface. You…

Automatically extracting key information from textual data

There is tremendous value buried text sources such as call center and chat dialogues, survey comments, product reviews, technical notes, legal contracts… How can we extract the signal we want amidst all the noise?

Automatically extracting key information from textual data was published on SAS Users.

We’re moving on: SAS Learning Post has merged with SAS Users

The SAS Learning post has merged with the SAS Users blog to provide you with all the training, certification, books, events, and programming tips you need.
The post We’re moving on: SAS Learning Post has merged with SAS Users appeared first on SAS Lear…

Using Custom Coordinates for map creation in SAS Visual Analytics

In this post, we continue our discussion of geography variables, the foundation of Visual Analytics Geo maps. This time we will look at Custom Coordinates.  As with any statistical graph, understanding your data is key.  But when using Custom Coordinates for geographic maps, this understanding becomes even more important. Use […]

Using Custom Coordinates for map creation in SAS Visual Analytics was published on SAS Users.

Gartner’s 2019 Take on Data Science Software

I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here’s just the updated section: Continue reading