All statisticians are familiar with the classical arithmetic mean. Some statisticians are also familiar with the geometric mean. Whereas the arithmetic mean of n numbers is the sum divided by n, the geometric mean of n nonnegative numbers is the n_th root of the product of the numbers. The geometric
Chris Gray of Gray Research is a longtime contributor to the practice of Sales and Operations Planning. He is author of several books on S&OP, software selection, and other supply chain related areas, including Sales and Operations Planning Standard System (2007). In 2006 he co-authored Sales & Operations Planning –
“어떤 알고리즘을 사용해야 할까요?” 수많은 종류의 머신러닝 알고리즘을 맞닥뜨린 초급자 분들이 가장 많이 물어보는 전형적인 질문인데요. 사실 이 질문에 대한 답변은 하단 내용을 비롯한 수많은 요인에 따라 달라집니다. 데이터의 크기, 품질, 특성 가용 연산(계산) 시간 작업의 긴급성 데이터를 이용해 하고 싶은 것 그렇기에 숙련된 데이터 과학자(Data scientist)조차도 여러 알고리즘을 직접
World Wildlife Fund (WWF) invests in education and training to create the next generation of conservation leaders from around the world. These leaders go on to have a powerful influence on the fate of the world’s most biodiverse and vulnerable places. While scores of leaders benefit from WWF’s support, many
Get on with your day faster by taking a self-service approach to data preparation.
Hopefully if you're viewing the eclipse today, you'll be using one of the safe methods that won't harm your eyes! ... But if you're somewhat of a trickster, here's an optical illusion you can send your friends after the eclipse, that might make them wonder (just for a second) if
When you implement a statistical algorithm in a vector-matrix language such as SAS/IML, R, or MATLAB, you should measure the performance of your implementation, which means that you should time how long a program takes to analyze data of varying sizes and characteristics. There are some general tips that can
SAS programmers have high expectations for their coding environment, and why shouldn't they? Companies have a huge investment in their SAS code base, and it's important to have tools that help you understand that code and track changes over time. Few things are more satisfying as a SAS program that
The revised EU Payment Services Directive (PSD2) has been a focal point for the financial services industry over the last couple of years and its adoption is set to revolutionise the payment ecosystem in Europe. New entrants, innovative technologies and increased regulation are already posing major challenges to traditional banks
Robots - everyone has probably been fascinated by the idea of robots at one time or another. From the early science fiction robots (such as Klaatu's robot Gort) to the mid-1980s movie robots (like Johnny 5), they have been portrayed in many different ways in fiction. These days, with the
Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,
This question has been asked repeatedly for decades by anyone facing a new system. That system might be a new product, a new piece of equipment, a new process, or anything really that is new and not well understood. Ultimately, you might need to change this system but first you
I frequently get asked about my favorite book on a particular topic, how to find free SAS learning materials online, how to get help with SAS issues, etc. So I thought I'd share it with you here! Last updated 2/25/2020 Getting Started Resources New to SAS? Here's your SAS Starter
Visualizing the correlations between variables often provides insight into the relationships between variables. I've previously written about how to use a heat map to visualize a correlation matrix in SAS/IML, and Chris Hemedinger showed how to use Base SAS to visualize correlations between variables. Recently a SAS programmer asked how
If you know me, you probably know that I spend a lot of time on the water. I like speed paddling (dragon boat, outrigger canoe, surfski, and racing SUP), and I also have a big pontoon boat at Jordan Lake where I try to go fishing at least once a
Veterans transitioning back to civilian life face a number of challenges, many of which involve working in a non-military environment. The Honor Foundation helps Navy SEALs and other current and transitioning members of the U.S. Special Operations community enter civilian life. Last week, a group of former special operators visited several
In an increasingly complicated operating environment, the global oil and gas industry struggles to optimize their asset portfolio. Producers combat severe challenges inherent to aging facilities in the context of pricing volatility. Change is the new constant, as the cyclical nature of the oil and gas industry means that producers
Phil Simon shares his thoughts on this simple yet often-overlooked question.
With North Korea's growing missile capabilities in the news lately, I thought it would be interesting to create a map showing how far (or close) they are from other parts of the world. I first did a few searches on the Web, to see what maps are already out there.
When someone refers to the correlation between two variables, they are probably referring to the Pearson correlation, which is the standard statistic that is taught in elementary statistics courses. Elementary courses do not usually mention that there are other measures of correlation. Why would anyone want a different estimate of
Recently, I interviewed three SAS customers to understand firsthand how each is using data visualization and analytics in education. In this education analytics series of blog posts, I’ll take you on a journey to learn how each of these customers are turning their data into insights to be a more
The State of Illinois faces an unprecedented budget crisis, with more than $15 billion in unpaid bills. While experts will argue over the exact causes of states' financial struggles, many are pointing to the problem of state leaders avoiding long-term budgetary problems for short-term fixes. Illinois is not alone in
With all the recent talk about some people wanting to move from the US to Canada, I got to wondering how cold, and how far north Canada is. And after a few Google searches, I was surprised to learn that 27 US states are actually farther north than the southernmost point
In this post I describe the important tasks of data preparation, exploration and binning.These three steps enable you to know your data well and build accurate predictive models. First you need to clean your data. Cleaning includes eliminating variables which have uneven spread across the target variable. I give an
This is the fifth post in my series of machine learning best practices. Hyperparameters are the algorithm options one "turns and tunes" when building a learning model. Hyperparameters cannot be learned using that algorithm. So, these parameters need to be assigned before training of the model. A lot of manual
1980년대 후반에만 해도 머신러닝(machine learning)이나 데이터 과학자와 같은 개념은 없었습니다. 대신 통계, 분석, 데이터 마이닝, 데이터 모델링과 같은 단어가 사용됐는데요. 이후 글로벌 기업들은 30년 이상 머신러닝 모델을 연구해 왔으며, 페이스북의 이미지 인식 소프트웨어, 아마존의 음성 비서 알렉사, KT의 인공지능 서비스 기가 지니(GiGA Genie)까지 그 결과들이 연이어 쏟아지고 있죠! 이러한 결실
Recently, I was asked whether SAS can perform a principal component analysis (PCA) that is robust to the presence of outliers in the data. A PCA requires a data matrix, an estimate for the center of the data, and an estimate for the variance/covariance of the variables. Classically, these estimates
If I’m having a tough week, I might feel sorry for myself for a minute or two. But to snap myself out of it, all I have to do is think of the data managers. Those folks have to contend with duplicate records, bad information, data proliferation, accountability, permissions, privacy,
Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
A SAS customer asked, "I computed the eigenvectors of a matrix in SAS and in another software package. I got different answers? How do I know which answer is correct?" I've been asked variations of this question dozens of times. The answer is usually "both answers are correct." The mathematical
