
In this edition of Problem Solvers, SAS Technical Support's Kathryn McLawhorn walks you through two PROC REPORT techniques.
In this edition of Problem Solvers, SAS Technical Support's Kathryn McLawhorn walks you through two PROC REPORT techniques.
Martin Mincey of SAS Technical Support shows you how to debug when listing registered SAS fonts, registering new fonts, getting SAS SG procedures to use a new font and more.
SAS' Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
2020 is here and systems that use 2-digit years in date values are getting confused. Do we mean 1920 or 2020? In SAS, the YEARCUTOFF= option lets you decide.
Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.
The DATA step remains a popular way to create and manipulate SAS data sets. Whether you are reshaping a data set entirely or simply assigning values to a new variable, there are numerous tips and tricks that you can use to save time and keystrokes.
Grace Whiteis of SAS Technical Support shows you how to capitalize on arrays using SAS software -- and streamline your code, whether it involves arrays or not.
Generating a word cloud (also known as a tag cloud) is a good way to mine internet text. Word (or tag) clouds visually represent the occurrence of keywords found in internet data such as Twitter feeds.
This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a
SASPy is a powerful Python library that interfaces with SAS and can help with your machine-learning solutions. SASPy was created for Python programmers to leverage the power of SAS within their Python scripts. If you are not familiar with SASPy, see the following resources: Introducing SASPy: Use Python code to