Consumers are pulling back and shifting their purchases in the wake of inflationary pressures caused by high prices for fuel, freight costs, consumer goods and nonessential products. Demand is shifting faster than many retailers and consumer goods companies anticipated. Inflation continues to rise forcing consumer spending to shift once again
The SELECT-WHEN statement in the SAS DATA step is an alternative to using a long sequence of IF-THEN/ELSE statements. Although logically equivalent to IF-THEN/ELSE statements, the SELECT-WHEN statement can be easier to read. This article discusses the two distinct ways to specify the SELECT-WHEN statement. You can use the first
When patients miss appointments, it costs providers money and has serious health impacts on patients. Analytics can help improve scheduling processes for more effective use of resources and to ensure patients receive the care they need. In isolation, it doesn’t seem that missing a doctor’s appointment is that big of
SAS' Damian Herrick chronicles the refresh of a 2002 social-network analysis aimed at identifying influential peer educators among former drug users.
A line in the sand was drawn in March 2020 at the beginning of the COVID-19 pandemic. Schools closed and all education-related stories focused on learning loss and other related events that happened after that date. As the discussion shifts to learning recovery, there is still a significant amount of
A SAS programmer was trying to understand how PROC SGPLOT orders categories and segments in a stacked bar chart. As with all problems, it is often useful to start with a simpler version of the problem. After you understand the simpler situation, you can apply that understanding to the more
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
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
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.
야구에 데이터를 더한다면 어떤 효과가 일어날까요? 야구 실력도, 데이터 활용 능력도 향상시켜줄 어린이를 위한 데이터 리터러시 프로그램, SAS ‘배팅 랩’을 소개합니다. 전 세계적으로 7,000명 이상의 경영진을 대상으로 진행한 한 설문조사에 따르면 85%가 미래에는 데이터 활용 능력이 오늘날 컴퓨터 사용 능력만큼 더욱 중요해질 것[1]이라고 답했습니다. 반면, 48%의 어린이는 현재 교육 과정이 데이터
See how analytics helps the police battle increasingly sophisticated fraud schemes and scams.
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
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
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.
SAS가 하와이 호놀룰루 소재 리스크 관리 전문기업 가마쿠라(Kamakura Corporation)를 인수했다는 소식을 전해 드립니다. 가마쿠라는 은행, 보험사, 자산운용사, 연금 기금 등 광범위한 금융 기관들이 다양한 유형의 금융 리스크를 관리할 수 있도록 전문 소프트웨어, 데이터 및 컨설팅을 제공하고 있는 비상장기업입니다. 치솟는 인플레이션과 경기 침체가 세계 경제에 먹구름처럼 드리워지면서, 크고 작은 금융 서비스
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
When I was writing Simulating Data with SAS (Wicklin, 2013), I read a lot of introductory textbooks about Monte Carlo simulation. One of my favorites is Sheldon Ross's book Simulation. (I read the 4th Edition (2006); the 5th Edition was published in 2013.) I love that the book brings together
Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with
In this introduction to powerful knowledge graph tools, SAS' Brandon Reese shows you how they can predict disease similarity and compound similarity using an unsupervised approach.
Queuing up to wait for services is a nearly universal experience. We routinely arrange ourselves in single file lines at the bank, at retail stores, and at the fast-food drive-through. Since the COVID pandemic hit, we've increasingly waited in lines to ensure our health – lining up to be seen
In June 2020, we announced our strategic partnership with Microsoft to help our joint customers address their most critical analytical challenges with SAS® Viya® on Azure. In honor of two years together, we’re highlighting some of our biggest milestones, favorite stories and impressive results. Better Together In June 2020, we announced our
I've previously shown how to use Monte Carlo simulation to estimate probabilities and areas. I illustrated the Monte Carlo method by estimating π ≈ 3.14159... by generating points uniformly at random in a unit square and computing the proportion of those points that were inside the unit circle. The previous
