A SAS programmer asked how to display long labels at irregular locations along the horizontal axis of scatter plot. The labels indicate various phases of a clinical study. This article discusses the problem and shows how to use the FITPOLICY=STAGGER option on the XAXIS or X2AXIS statement to avoid collisions
It’s a challenging time to be a risk manager. The world is facing a global climate crisis, enduring the worst economic downturn since the great depression, war and a recovery period from a global pandemic. In addition to these challenges, changes in customer behaviour and expectations give financial services no
What does data have to do with dry-erase markers? Everything if you’re looking to help teachers stock their classrooms with supplies they actually need. That's the goal of the SAS Data Drive – a school-supply donation drive with a special focus on data, undertaken for the second-consecutive year – conducted
A SAS customer asked how to use the Box-Cox transformation to normalize a single variable. Recall that a normalizing transformation is a function that attempts to convert a set of data to be as nearly normal as possible. For positive-valued data, introductory statistics courses often mention the log transformation or
During the past decade, the public has grown increasingly skeptical of the value of a post-secondary degree. Rising tuition costs and job opportunities in the labor market have only exacerbated enrollment and financial challenges for higher education. In many US cities, wages for new hires have gone up across the
The Young Health Leader Summit is a one-of-a-kind event for health care heroes to come together and tackle some of the biggest challenges in the industry. The event also hosts a unique competition where the young health leaders are tasked with "doing the most good" in 24 hours. The 2022
SAS' Kevin Russell compares how you order your data with a BY statement in SAS 9.4 versus in CAS using the ADDROWID data set option in SAS Viya.
In the 1960s and '70s, before nonparametric regression methods became widely available, it was common to apply a nonlinear transformation to the dependent variable before fitting a linear regression model. This is still done today, with the most common transformation being a logarithmic transformation of the dependent variable, which fits
In March 2020, when nearly all schools closed due to the COVID-19 pandemic, most school leaders would never have anticipated the speed or length of school closures, nor the magnitude of its impact on students and educators. As state departments of education and local school districts continue to take measures
SAS has been busy this summer and so has Women in Analytics (WIA). Read through this list to learn something new, discover upcoming events and see what WIA has been up to! Batting Lab With the recent opening of the SAS Batting Lab, kids are learning how to improve
John Tukey was an influential statistician who proposed many statistical concepts. In the 1960s and 70s, he was fundamental in the discovery and exposition of robust statistical methods, and he was an ardent proponent of exploratory data analysis (EDA). In his 1977 book, Exploratory Data Analysis, he discussed a small
Let's create a Multi-stage Computer Vision model to detect objects on high-resolution imagery taken from an aerial view. The goal is to locate a dog and determine if he is wearing a scarf or not and what color the scarf is.
It’s back to school season, so we thought it’d be a great time to refresh on the basics, like the ABCs. ;) Because at SAS, we believe in providing an exceptional employee experience, all the way from A to Z! Check out the ABCs of the #saslife. A is for…Art
Across all industries and sectors, the volume and scope of data continues to increase exponentially. It shows no sign of slowing down or reducing. UK Defence, and the wider public sector, collect vast amounts of data. They have a desire to innovate and exploit that data through analytics, artificial intelligence,
Maybe you’re a SAS®9 programmer in the insurance industry who stores her analytics projects in a local desktop folder, or in a Git library. Or maybe you’re a data scientist who specializes in aviation forecasting and loves the no-code environment of SAS® Viya®. Or maybe you’re a Python devotee at
If you haven't explored data with Automatic Actions enabled yet, then read on to learn about some fast and easy ways to gain insights using One-way filters, Two-way filters or Linked Selection! Part 1 – Easy exploration for multiple data sources In this post, we focus on One-way filters. Here
One thing I hear from the majority of my patients is the need for quick and easy dinner ideas. Weeknights are busy, I hear you! To get healthy, real, whole food based meals on the table quick, some planning ahead is key. There is no way you can get a
Customer acquisition and retention primarily fall on sales and marketing teams. But every department within an insurance company has a role to play in these activities. Claims handling is a great example. Any insurer's performance at this emotionally charged time is their litmus test. It can determine whether customers renew
It’s hard to get through a day in analytics now without hearing the words interpretability and explainability. These terms have become important in a world where machine learning and artificial intelligence (AI) models are becoming more ubiquitous. However, what do the two terms mean—and more importantly, why do they matter?
See how analytics helps the police battle increasingly sophisticated fraud schemes and scams.
As head of the SAS Data Ethics Practice, I spend a lot of time contemplating the social implications of AI. Considering its benefits like augmenting medical decisions and pitfalls, making decisions based on biased data results in dire consequences for patients. Such implications have the potential to impact society in a variety
Artificial intelligence (AI) is causing a digital transformation that is changing businesses’ operations. It is likely to bring a sea change compared to the Industrial Revolution. Many challenges with AI are technical, but most failures occur because of poor strategy and execution. Fortunately, there are some steps you can take
On Twitter, I saw a tweet from @DataSciFact that read, "The sum of (x_i - x)^2 over a set of data points x_i is minimized when x is the sample mean." I (@RickWicklin) immediately tweeted out a reply: "And the sum of |x_i - x| is minimized by the sample
Are you looking to broaden your data analytics skills to land your dream job or propel your career? After looking at job posting statistics and the country's labor market, the data shows that now is the time to jump on board. As the demand for data skills is growing, the
Exercise...what a wonderful practice of self-care that can alter energy, relieve stress, provide a sense of well-being and many other health benefits. Have you ever wondered if exercising at a certain time of day is more beneficial? You’re not the only one. This question has been floating around since I’ve
A SAS programmer asked for help on a discussion forum: "My SAS session will not display any tables or graphs! I try to use PROC PRINT and other procedures, but no output is displayed! What can I do?" The most common reasons why you might not see any output when
Anyone in the insurance industry knows that fraudsters are becoming more sophisticated and their crimes more difficult to identify. Insurance fraud in the UK costs an estimated £3 billion per year – but only around a third of that is detected. Whilst opportunistic fraud poses a problem to the industry and
To help burgeoning data researchers apply data analysis skills across policy sectors in economic, health and social science-informed areas of study, they need both policy and data industry experts to help them develop these critical skills before they graduate. The National Policy Challenge was developed with this goal in mind.
Recently, the SAS Press team moved to a new building on the SAS campus. And when the SAS Press team moves, we bring a lot of books with us! Packing and organizing all of our books gave us a chance to appreciate all of our authors’ hard work during the
DataOps is rapidly turning from a fragmented usage of some tools popular in the software development world into a modern approach to data & analytics engineering with its own best practices and recommended technologies. While the goal of DataOps – delivering data and analytical insights of the highest quality faster
