When I'm at a social gathering, someone always asks what type of work I do. I like to keep my social life separate from my work, therefore I usually give a vague answer such as "software" (and quickly change the topic). How vague or specific is your response? How vague
This article shows how to perform an optimization in SAS when the parameters are restricted by nonlinear constraints. In particular, it solves an optimization problem where the parameters are constrained to lie in the annular region between two circles. The end of the article shows the path of partial solutions
그래프를 만들 때 가장 어려운 작업은 무엇일까요? 바로 데이터를 준비하는 것인데요. 오늘은 엑셀 데이터를 SAS로 가져오고, 전치하고, 첫 열의 값을 데이터 값으로 사용하고, 플롯으로 요약하는 방법을 차례대로 소개해드리고자 합니다. 오늘 예시에서는 학생 대출 채무에 관한 데이터가 사용되는데요. 몇 년 전, 학생 대출 채무가 급증하면서 큰 이슈가 됐었고, 아래는 관련 기사에서 쓰인
Even though I’ve worked at SAS for nearly 30 years, I still get excited when great things come together for our customers! This year we are hosting the very first hackathon at our Analytics Experience conference in San Diego - the AnalyticsX Hackathon. Analytics Experience is in its third year
I bet you were not expecting a photo of 22 youngsters in swimsuits in a math blog, were you? The first time I heard about this reality TV show called "Are You The One?", my nerdiness and love for OR yelled at me: "There is so much math in this
In the oil industry you can make or lose money based on how good your forecasts are, so I’ve pulled together six papers that discuss different ways in which you can leverage analytics to optimize your output and more accurately predict your production performance. Written by employees at oil and
My colleague, Robert Allison, recently published an interesting visualization of the relationship between chess ratings and age. His post was inspired by the article "Age vs Elo — Your battle against time," which was published on the chess.com website. ("Elo" is one of the rating systems in chess.) Robert Allison's
People across the country (and world) are not getting the care they need. There are many data efforts to address that, but I personally believe traditional analytics are short-sighted, too illness-focused, and remarkably negative. We need to take a more holistic approach to data, policy, and health care, including traditional
I am unabashedly a data zealot, but not a data scientist. I believe in the power of data and data analytics, and that the data revolution has started. It will transform all our lives in ways we cannot even imagine. This is one of the things that attracted me to
Elections are in the news again, therefore I have been on the lookout for interesting graphs. I recently found some graphs of the Census Current Population Survey (CPS) Voting and Registration Supplement data, and tried to improve them. Follow along if you're interested in voter data, or creating better graphs!
Better decisions and analytics innovation – fringe benefits of having comprehensive data governance policies.
Hash tables are a very powerful and flexible data structure. Most SAS applications of hash tables focus on just one of their many powerful facilities: table lookup. Hash tables are a fantastic table lookup tool and their use for that should never be diminished. However, hash tables can do so
In machine learning, a feature is another word for an attribute or input, or an independent variable. What is feature engineering? Feature engineering is a process of preparing inputs for machine learning models. The goal of feature engineering is to to improve classification accuracy by considering the limitations of the
Interessanterweise sprachen mich in den letzten Monaten viele Unternehmen der unterschiedlichsten Branchen an und erzählten mir, dass sie sich eben nicht an den „Leuchtturm“-Beispielen ihrer eigenen Branche messen lassen wollen, sondern am „besten Unternehmen in Bezug auf ein herausragendes Kundenerlebnis“. Kurz: Sie wollen so sein wie Amazon. Es sieht wirklich
We’re bringing the concept of #VideoTag to LinkedIn. What's #VideoTag, you ask? It's an online adaptation of the old schoolyard game. In short, you record a video of yourself, upload it to LinkedIn and tag others to respond. It’s a fun, easy way to spur conversation online by showing your
I peruse many different websites to get my news, and I always keep an eye out for good (or bad) presentations of data. I recently saw a posting on reddit claiming "U.S. GDP is greater than the total of all others combined." This news seemed too good to be true
The SGPLOT procedure in SAS makes it easy to create graphs that overlay various groups in the data. Many statements support the GROUP= option, which specifies that the graph should overlay group information. For example, you can create side-by-side bar charts and box plots, and you can overlay multiple scatter
나만의 파라다이스를 찾아라! 여름 휴가 계획 모두 세우셨나요? 어디로 갈지 아직 고민 중이시라면! 클릭 몇 번만으로 전 세계에서 나와 가장 잘 맞는 도시를 알려주는 ‘SAS 파라다이스 파운드(SAS Paradise Found)’ 프로젝트를 소개합니다. 사람마다 매력적인 여행지와 거주지를 선택하는 기준은 다르기 마련인데요. SAS 파라다이스 컨피규레이터(Paradise Configurator)는 가족, 문화, 자연, 안전 및 인프라, 생활비, 레스토랑
How important is the customer experience in communications today? “Very important” is an understatement. It should be the top area of focus for all communications providers. It’s no secret that when customers are extremely satisfied, they become brand champions for the companies that provide them the products and services they
There are many quotes with words of wisdom to help you live your life. But sometimes one quote seems to contradict another. For example, "Don't sweat the small stuff." ... and "The devil is in the details." When it comes to creating graphs (and perhaps living my life in general),
Data-Science-Plattformen müssen vielen Anforderungen gerecht werden. Ihre Aufgaben sind relativ genau definiert – und die Erwartungen, die Unternehmen mitbringen, oft sehr hoch. Darüber hinaus sind die Anwendergruppen alles andere als homogen. Dieser Blog erläutert, was insbesondere IT-Entscheider erwarten. Was ist eine Data-Science-Plattform? Die Antwort ist einfach: Sie dient dazu, Erkenntnisse
Looking for use cases for analytics to derive value at an electrical utility? We have identified over 125 ways you can use analytics to improve the business processes at an electric utility. I recently posted a series of blog posts discussing four different use cases. Now I'd like to share
This article shows how to score (evaluate) a quantile regression model on new data. SAS supports several procedures for quantile regression, including the QUANTREG, QUANTSELECT, and HPQUANTSELECT procedures. The first two procedures do not support any of the modern methods for scoring regression models, so you must use the "missing
Beim diesjährigen SAS Forum Deutschland in Bonn boten Sascha Schubert und ich einige Hands-on-Sessions zu Data Science und Analytics an. Nichts Neues, denken Sie wahrscheinlich. Aber mir sind einige Veränderungen zu vorherigen Events aufgefallen, die meiner Ansicht nach auf einen größeren Umbruch in der analytischen Landschaft verweisen. Hier also meine
For part 7 of this series, I had the pleasure of interviewing mathematician, former colleague, and data science “rock star” Longhow Lam. Since there’s no need for an office for his one-person company, we decided to meet for lunch in a very hot (31 degrees) and sunny Amstelveen city
In many movies, there is often a scene where the star says "We can do this the easy way, or the hard way" (and the hard way usually involves quite a bit of pain). So it is with interrogations ... and so it is with writing SAS code! Today I'm
Soccer has been on my mind since the recent tournament in Russia, and fraud is always on my mind. Fighting fraud today means thinking about artificial intelligence (AI) and machine learning (ML). Everyone says so. Like me, you probably wonder how AI and ML work – especially in fraud. What
Recently, Scott Jackson, Director Business Intelligence at the University of North Carolina at Chapel Hill shared their data quality, reporting and analytics journey. They're using SAS in a multitude of ways – from operations, institutional research, athletics – and are now looking to scale to the enterprise. They've been so successful
Several weeks ago, I wrote about practical advice from a Chief Data Scientist in my blog “From Aristotle to Pi: Practical advice from a chief data scientist.” Now I want to offer my advice as a newbie trying to navigate through machine learning concepts and how to code them. Over
국제 이주민은 전 세계 인구의 3.5% 이상을 차지하고 있습니다. 즉 2억5천만 명 이상이 출생 국가 또는 국적과 다른 나라에서 살고 있다는 뜻인데요. 모든 이주민이 한 국가에 산다면 그 인구는 세계에서 다섯 번째로 클 것입니다. 전 세계 사회경제적 환경에 큰 영향을 미치는 이주와 난민은 여러 국가와 기업이 함께 해결해야 할 국제적
