SAS Users
Providing technical tips and support information, written for and by SAS users.
Time-series decomposition is an important technique for time series analysis, especially for seasonal adjustment and trend strength measurement. Decomposition deconstructs a time series into several components, with each representing a certain pattern or characteristic. This post shows you how to use SAS® Visual Analytics to visually show the decomposition of
I recently had the incredible opportunity to attend SAS Global Forum in Dallas as a presenter and New SAS Professional Award recipient. At the conference, I was able to learn more about SAS features and applications, share my knowledge of SAS applications in the clinical trials space, and make new
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
Editor's Note: This article was translated and edited by SAS USA and was originally written by Makoto Unemi. The original text is here. SAS previously provided SAS Scripting Wrapper for Analytics Transfer (SWAT), a package for using SAS Viya functions from various general-purpose programming languages such as Python. In addition
Today, September 8th, is International Literacy Day! A day celebrated by UNESCO since 1967 to emphasize the importance of literacy around the world. Here at SAS, we have decided to highlight data literacy, a critical part of our evolving knowledge as data and analytics continue to dominate the way we
By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. – Gartner What is data literacy? Data literacy is the ability to read, work with, analyze, and argue with data. – Wikipedia Data literacy is the ability to derive meaningful information from data,