We are all aging, every day, and there is nothing we can do about that (at least not yet). BUT there are many things we can do that determine HOW we age and how long we live. Only a small amount of our longevity is determined by genetics (estimated to
The REFLINE statement in PROC SGPLOT is one of my favorite ways to augment statistical graphics such as scatter plots, series plots, and histograms. The REFLINE statement overlays a vertical or horizontal reference line on a graph. You can specify the location of the reference lines on the REFLINE statement.
New and more prescriptive privacy and other data-related regulations are elevating data governance to a strategic asset for organizations in all sectors. Data governance can no longer remain confined to a back-end IT operation. As the data-rich financial services sector is now moving fast towards more profound digitization of financial
Data visualization has never been more widespread and consumed by a global audience as it has been this year with the Coronavirus pandemic. One visualization that is commonly used to display metrics of Coronavirus is a bar line chart where the bars display the actual values and the line is a moving average metric.
Today's blog is written by SAS pharmacist, Kristin Ellison Overall health is impacted by many variables; heredity, lifestyle habits, diet, stress, exercise, and sleep all play a role in your wellbeing. As you age, the likelihood of requiring medications to assist in your overall health increases. Taking multiple medications can
Nine months… that is how long some of us have been working from home with our spouse, managing the economic stress of the pandemic, homeschooling children, worrying about family members, social isolation and re-negotiating household roles. It is no wonder that people are wondering if their relationship will last. Whether
As you begin managing your SAS code and projects in Git, here are a few guidelines for how to organize your work and collaborate with others.
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. “Numbers don’t lie” is a phrase we often hear to support the idea that something must be true if you can cite data or
If you're a SAS Enterprise Guide user who is looking to move to SAS Studio, there is a lot to like about your new coding environment.
Here is the final installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed them, here are Part 1 and Part 2). HOW SAS MAKES IT HAPPEN There are two main steps for integrating open source forecasting models into SAS Visual Forecasting, each with increasing
Where do your data scientists sit? Perhaps they occupy a typically gloomy, computer-filled basement. Or maybe they have a glassy building all to themselves. Either way, you’ll not always see business decision makers walking the same corridors. After all, analytics is best left to the experts, isn’t it? Yet back
A year ago we could not imagine stadiums being empty during the most exciting sports events, but it is a common sight now. The entertainment sector is one of the hardest hit sectors because of the COVID-19 pandemic [1]. Social distancing requirements made it impossible to have viewers in stadiums
Intuitively, the skewness of a unimodal distribution indicates whether a distribution is symmetric or not. If the right tail has more mass than the left tail, the distribution is "right skewed." If the left tail has more mass, the distribution is "left skewed." Thus, estimating skewness requires some estimates about
Here is the second installment of the 3-part series by guest bloggers Jessica Curtis and Andrea Moore. (If you missed it, here is Part 1.) THE VALUE SAS DELIVERS TO OPEN SOURCE First and foremost, SAS distributes the input data for forecasting. SAS knows how to split up data intelligently
Welcome to the first of a 3-part series by guest bloggers Jessica Curtis and Andrea Moore: FORECASTING IS UBIQUITOUS Forecasting is core to many different business decisions across virtually every industry. Whether you’re a retailer planning a compelling assortment of SKUs or improving labor planning for distribution centers and stores, or a consumer product goods
Tomorrow we begin a three-part series on how to accelerate open source forecasting with SAS, by guest bloggers (and my colleagues) Jessica Curtis and Andrea Moore. As the popularity of open source forecasting has expanded, so has the ability of SAS to take advantage of open source capabilities. Over the
Learn why integrating EHR data with pharmacy and claims data improves patient care.
The coronavirus pandemic has changed many things in many industries – and not always in the most obvious way. Insurance companies have seen both fewer claims and fewer sales. As a result, many have realised that the process of digitisation, often started slowly before lockdown, must now be accelerated. More,
Imagine driving in a foreign country at night with no GPS and half a tank of gas in the pouring rain. And you have to reach your destination before sunrise. That’s a little like how it felt when COVID-19 turned our 2020 plans upside down, and we raced into the
In my last blog post, I talked about the importance of establishing the right team for data science projects. Here, I’m going to talk about some of the barriers that can prevent successful adoption of data science. You can read my whole "data science in the wild" blog series here.
SAS' Leonid Batkhan explains the data cleansing task of removing unwanted repeated characters in SAS character variables.
The expected value of a random variable is essentially a weighted mean over all possible values. You can compute it by summing (or integrating) a probability-weighted quantity over all possible values of the random variable. The expected value is a measure of the "center" of a probability distribution. You can
Detecting malpractice and crime – whether it is fraud, people smuggling, avoiding customs or organised crime – is a complex process. Detection is all very well and a necessary step. But what are the outcomes that your organisation needs? And what workflows and triggers do you need in place to
As I approach the Thanksgiving and December holidays, I feel deflated. Plans to gather and reenact time-honored traditions have been dismantled and discarded due to the pandemic. I have allowed myself to feel the sadness and the loss. And I have begun to ask myself some questions: What do these
When there are two equivalent ways to do something, I advocate choosing the one that is simpler and more efficient. Sometimes, I encounter a SAS program that simulates random numbers in a way that is neither simple nor efficient. This article demonstrates two improvements that you can make to your
A user commented on one of my previous maps ... "How can there be 820 cases of Coronavirus per 100,000 people? - There aren't even 100,000 people in my county!" Well, when you want to compare something like the number of COVID-19 cases between two areas that have differing populations,
This blog is part of the Aging Well series and is written by Robin Gault-Winton, MSW, owner of the organization, Playing at Life. Play is something done for its own sake. It’s voluntary. It’s pleasurable. It offers a sense of engagement. It takes you out of time; and the act
If your salt and pepper shakers are the only seasonings that have seen the light of day in recent weeks, it’s time to step up your game with homemade seasoning blends. They’ll soon become your secret weapon to making healthy, mouth-watering meals in a flash.
The skewness of a distribution indicates whether a distribution is symmetric or not. The Wikipedia article about skewness discusses two common definitions for the sample skewness, including the definition used by SAS. In the middle of the article, you will discover the following sentence: In general, the [estimators] are both
You’ve finally done it. You managed to stay awake through the endless series of MOOC videos, and you’ve mastered the IRIS data set. You've learned that lm() will build you a pretty nifty model in R, and you can fit a Classifier with SciKit Learn. You know your Neural Net
