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Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really
As companies continue to amass zettabytes of data, the talent hunt for data scientists who can create clarity out of all the noise, has never been greater. But one of the greatest challenges a data scientist faces is communicating the uncovered insights wrangled from the relevant data to decision-makers. To
To a numerical analyst, numerical integration has two meanings. Numerical integration often means solving a definite integral such as $$int_{a}^b f(s) , ds$$. Numerical integration is also called quadrature because it computes areas. The other meaning applies to solving ordinary differential equations (ODEs). My article about new methods for solving
When creating bar charts, it is very common to display labels with the bars to make it easier to determine the bar values or to provide additional information in the chart. However, these labels can take away valuable data space, particularly if you generate a smaller-sized graph. As you see
Leaders from businesses and governments across the world continue to show progress on a range of critical environmental topics, addressing climate resilience and taking actions to ensure a more sustainable and thriving planet. Advancements and innovations continue to open new avenues for environmental leadership – and the use of data
Welcome to this blog series on how to install SAS Analytics Pro on Viya on your personal MacBook. In this first post, we introduce what SAS Analytics Pro on Viya is and how to install the software.
In the second of two Q&As with R&D colleagues, SAS' Udo Sglavo provides a window into how we approach drug-development challenges with machine learning.
In our last article, Flower Power - Exploring Flower Essences, you learned about floral essences and how these liquid petal potions contain the bioenergetic imprint of the flower’s chi or life force. They work with the emotions of the body as noted by cultures throughout the centuries and can enhance
Before I started with SAS, I worked at the San Bernardino County Department of Behavioral Health. Among many other projects, our analytics work included integrating data from multiple county departments and risk stratifying citizens in the greatest need of public services. This led to our 1115 Whole Person Care (WPC) waiver
Recently, I showed how to use a heat map to visualize measurements over time for a set of patients in a longitudinal study. The visualization is sometimes called a lasagna plot because it presents an alternative to the usual spaghetti plot. A reader asked whether a similar visualization can be
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. This post builds upon CAS-Action! Create Columns in CAS Tables - Part 1 by showing how to add formats and modify the length of computed columns. I'll start by building off the following code where I
Babeș-Bolyai University (UBB) is the largest and highest-ranked university in Romania. Its Faculty of Economics and Business Administration (FSEGA) is the largest faculty at any university in Romania. It is also the highest-ranked institution in the country for management and business and top-ranked for economics. The faculty was founded as
Just getting started with this series? Make sure to read part 1: How ModelOps addresses your biggest Machine Learning challenges. SAS and Microsoft make it easier for companies to address the challenges of machine learning model deployment, monitoring and governance. Specifically, SAS and Microsoft have built integrations between SAS® Model
SASPy and the SAS kernel for Jupyter Notebook enable you to connect to SAS® 9.4 and the SAS® Viya® compute server from your client machine. You can then interact with SAS and SAS Viya via Python. If you are not familiar with SASPy and the SAS kernel, this article provides an introduction.
What is McNemar's test? How do you run the McNemar test in SAS? Why might other statistical software report a value for McNemar's test that is different from the SAS value? SAS supports an exact version of the McNemar test, but when should you use it? This article answers these