There are many ways to visualize the distribution of univariate data. A previous article presents an overview and shows how to use SAS to create histograms, kernel density estimates, box plots, and cumulative distribution plots. This article continues the visualization journey, with an emphasis on dot plots and heat maps.
In a previous article, I presented some of the most popular blog posts from The DO Loop in 2025. In general, popular articles deal with elementary topics that have broad appeal. However, I also write technical articles about advanced topics, which typically do not make it onto a Top 10
There are many ways to visualize the distribution of univariate data: histograms, kernel density estimates, box plots, and more. Visualizing a distribution leads to better insights than merely displaying statistics such as the sample mean, standard deviation, and quantiles. In fact, there are many well-known examples of data sets that
This blog with co-written with Sundaresh Sankaran. The Artificial Intelligence (AI) era is here. To prevent harm, ensure proper governance and secure data, we need to trust our AI output. We must demonstrate that it operates in a fair and responsible manner with a high level of efficiency. As builders of
In 2025, I wrote about 60 articles for The DO Loop blog. My most popular articles were about SAS programming, data visualization, and statistics. This blog post lists some of the most popular articles from 2025. Read on for the Reader's Choice Awards in various categories! SAS Programming The following
단순한 경쟁을 넘어 사회적 문제를 해결하고 인류의 삶을 개선하기 위한 혁신의 장인 글로벌 SAS 해커톤 대회가 지난 9월 중순부터 10월까지 한 달 간의 흥미로운 개발 여정을 마쳤습니다. 올해로 5회를 맞이한 'SAS 해커톤 2025'에는 전 세계 66개국 708개 기업 및 대학, 그리고 SAS 파트너사에서 2,058명의 인재들이 등록하며 뜨거운 관심을 입증했습니다. 이
Throughout history, the ambition of technological advancement has always been driven by the pursuit of human prosperity. But with AI, we are approaching a pivotal gut check to live up to this promise for the next generation. In my role as CTO at SAS, I talk with a lot of
When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and
Small language models like GLiNER provide an efficient, deterministic, and flexible solution for named entity recognition, bridging the gap between traditional NLP and large language models for enterprise information extraction.
Generative AI has seen drastic improvement in image, video, audio, and text generation within the last few years. Humans, on the other hand, are still catching up on determining when it’s appropriate to use Generative AI and how to review the content generated by AI before sharing it with others.
Rockin' around the Christmas tree, Have a happy holiday – Brenda Lee An internet search for "How many lights do I need for my Christmas tree," returns many opinions. A popular answer is that you need "one strand of lights for each foot of your tree." Another common answer is
혁신적인 합성 데이터 생성 솔루션으로 데이터 부족 문제 해결, AI 역량 강화 마이크로소프트 마켓플레이스에서 우선 공급 민감한 개인정보를 노출하지 않으면서 안전하게 합성 데이터를 생성할 수 있게 해주는 ‘SAS 데이터 메이커’가 출시되었습니다. 현재 마이크로소프트 마켓플레이스에서 제공되는 ‘SAS 데이터 메이커’는 실제 데이터의 통계적, 관계적, 시간적 특성을 그대로 재현하는 합성 데이터를 생성하며,
Clinical trials are the most costly, time-consuming, and heavily regulated stages in drug development, often costing hundreds of millions of dollars and sometimes exceeding a billion dollars. Every month of delay cuts into the patent-protected window that determines a drug’s commercial viability, with companies losing tens of millions of dollars
Learn how to save time and money when performing multiple repeated measures analyses with the LOGSELECT and GENSELECT procedures in SAS Viya.
팬데믹과 각종 바이러스 질병, 그리고 기저질환 및 생명을 위협하는 여러 중증질병이 우리의 건강을 위협하고 있습니다. 몇 년 전 코로나19 팬데믹을 지나면서 공중보건 영역에서의 선제적 예방체계와 현황 분석능력이 질병의 대응에 얼마나 중요하게 작용하는지를 몸소 깨달을 수 있었죠. 또다시 닥쳐올 수 있는 팬데믹에 대비해 앞으로 보건 당국은 분석툴과 AI 기술을 활용하여 공중보건
In univariate data analysis, the median is often used as an alternative to the mean because the mean is sensitive to outliers in the data, whereas the median is a robust statistic. For higher-dimensional data, the mean and the centroid are both used to represent the "center" of a cloud
얼마전 캄보디아와 메콩강 일대의 이른바 '사기 컴파운드' 관련 산업형 범죄로 전국이 충격과 공포에 휩싸였습니다. 한국인을 노린 조직적 범죄 시도와 탈출 및 구조 사례가 연이어 보도되면서 이 문제는 치안과 외교를 넘어 금융 대응 방식에도 대전환이 필요하다는 경고로 다가오고 있습니다. 특히 사기, 자금세탁, 온라인 도박, 지하 환전, 가상자산이 물리적 통제와 디지털 범죄가
AI는 금융을 비롯한 다양한 산업에서 혁신을 가속화하고 있습니다. 하지만 그 이면에는 데이터 편향, 환각(Hallucination), 개인정보 유출 등 새로운 리스크가 빠르게 증가하고 있죠. SAS는 지난 9월 17일 ‘금융기관을 위한 AI 거버넌스 및 미래 혁신 전략 세미나’를 개최하고 AI 기본법 시행을 앞둔 현 시점에서 금융기관이 어떤 준비를 갖춰야할 지에 대한 핵심 내용을
Recently, a colleague struggled to find the source of a run-time error happening somewhere within a very large library of SAS IML function modules. Since the error happens at run time, I told my colleague about how to find the location of a run time error by reading the traceback
As a Senior Lecturer in Finance at Massey University, one of New Zealand’s leading tertiary institutions, my role as an educator is to prepare students to thrive in a rapidly evolving, data-driven world. I have always believed that analytics education must strike a balance between technical capability and critical thinking,
Each year, the SAS Finance Analytics School (SAS FAS4S) brings students inside the real world of financial decisioning – far beyond what any classroom lecture can offer. It’s a rare chance to see how analytics, AI and fraud prevention actually work inside banks, public institutions, and regulatory environments. That’s what
In some applications, it is useful to permute the rows or the columns of a matrix. A previous article discusses how random permutation of columns (within each row) are useful in constructing permutation tests. This article shows a simpler situation: Permuting the rows of a matrix to change their order.
1. Fraud Detection 정의 Fraud Detection(혹은 Fraud Detection System)이란 금융, 전자상거래, 통신, 보험 등 다양한 산업 영역에서 발생할 수 있는 사기나 부정 거래를 조기에 식별하고 방지하기 위한 기술적·분석적 접근을 의미합니다. 부정 행위 탐지의 핵심은 ‘정상적인 패턴과의 미묘한 차이’를 찾아내는 것입니다. 이를 위해 대량의 거래 데이터, 사용자 행동 로그, 네트워크 활동
En 2024, près d’une entreprise française sur deux a subi une cyberattaque majeure, et dans 60 % des cas, tout a commencé par un simple mail ou appel frauduleux. Derrière chaque clic, chaque voix clonée, l’ingénierie sociale exploite nos failles humaines pour contourner les défenses les plus sophistiquées. Phishing, deepfake, usurpation
One of the lesser talked-about issues large organizations face is the siloes that their various business units operate in. It’s a peculiar situation born from the specificity of tasks and objectives assigned to hyper-specialized teams within an enterprise. This separation of tasks inevitably leads to critical dependencies between teams. However,
It is difficult to evaluate high-dimensional integrals. One numerical technique that can be useful is quasi-Monte Carlo integration. In this article, I show how you can generate quasirandom points in SAS and use them to evaluate a definite integral on a compact region. For simplicity, the example in this article
Digital twin technology generates diverse, accurately labeled synthetic datasets in virtual environments, enabling faster, safer, and more reliable AI model development for PPE detection.
A previous article shows how to convert a positive integer from base 10 to any other arbitrary base. For example, 15 (base 10) = 120 (base 3) because 15 = 1*32 + 2*31 + 0*30. Representing integers is probably familiar to many readers. But did you know that you can
With the rapid evolution of regulatory environments, the pressure on financial institutions (FIs) to effectively detect and prevent money laundering while staying compliant with the changing pace of regulatory requirements is greater than ever. However, with the right tools and strategies, this pressure can be effectively managed. Regulatory scrutiny is
SAS' new approach to MRM streamlines your compliance and review process by delivering real-time model reporting and statistical outputs.
