In my book Simulating Data with SAS, I show how to use a graphical tool, called the moment-ratio diagram, to characterize and compare continuous probability distributions based on their skewness and kurtosis (Wicklin, 2013, Chapter 16). The idea behind the moment-ratio diagram is that skewness and kurtosis are essential for
Are you ready to get a jump start on the new year? If you’ve been wanting to brush up your SAS skills or learn something new, there’s no time like a new decade to start! SAS Press is releasing several new books in the upcoming months to help you stay
Did you add "learn something new" to your list of New Year's resolutions? Last week, I wrote about the most popular articles from The DO Loop in 2019. The most popular articles are about elementary topics in SAS programming or univariate statistics because those topics have broad appeal. Advanced topics
2020 is here and systems that use 2-digit years in date values are getting confused. Do we mean 1920 or 2020? In SAS, the YEARCUTOFF= option lets you decide.
With 2018's M4 Forecasting Competition behind us (although analysis, interpretation, and debate continue), the new M5 Competition starts March 2. Running through June 30, M5 is utilizing actual data provided by Walmart. It will be implemented using Kaggle's Platform, with $100,000 in prize money. Forecasting practitioners are encouraged to participate,
The new method tackles the challenge of missing features under the multi-task learning framework. The proposed method is effective for prediction and model estimation when missing data is present.
In the US, we often notice that what starts in California will eventually spread to the rest of the country. Whether it's related to fashion, culture or legal issues, if it starts in the golden state there's a good chance it will spread east in the US. On June 28, 2018, California Governor
Read about the value of data tagging and learn best practices for doing it effectively.
Over the past few months, I’ve been working on a fascinating project with one of the world's largest pharmaceutical companies to apply SAS Viya computer vision to help identify potential quality issues on the production line as part of the validated inspection process. As I know the application of these
The International Journal of Forecasting has published its 2020-Q1 issue, guest edited by Spyros Makridakis and Fotios Petropoulos, and dedicated entirely to results and commentary on the M4 Forecasting Competition. This issue should be of great interest and value to business forecasting practitioners, and you get online access to it
Did I trick you into seeing what this blog is about with its mysterious title? I am going to talk about how to use the FIND function to search text values. The FIND function searches for substrings in character values. For example, you might want to extract all email addresses
We all know that eating fruits and vegetables is good for us. This is a message we have heard since we were kids. The USDA recommends eating 5-9 servings of fruits and vegetables per day. However, nutrition experts and research suggest that more is better, typically agreeing that at least 8-10 servings
"Why are we doing this?" No matter who you are, that’s a question you’ve likely asked yourself more than once. Whether as a child receiving instruction from your parents, or as adults contemplating the reason behind decisions made at work, we are curious by nature. We all carry this innate
The introduction of analytics, machine learning and AI, will equip authorities to find previously undetected insight from their data.
Many SAS procedures can automatically create a graph that overlays multiple prediction curves and their prediction limits. This graph (sometimes called a "fit plot" or a "sliced fit plot") is useful when you want to visualize a model in which a continuous response variable depends on one continuous explanatory variable
If someone proposes a bet to you, then you should be suspicious that they already know they're going to win. And one frequent topic of such bets is the weather... What if I bet you there's a city in Canada with a warmer average January temperature than Raleigh, NC? You
Following is editor-in-chief Len Tashman's preview of the Winter 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Winter 2020) This Winter 2020 issue of Foresight—number 56 since the journal began in 2005—formally introduces a new section: Integrated Business Planning (IBP), the meaning of which is evolving
I have a 100-year-old father with dementia living with me and I also help parents of teens here at SAS. What do these two things have in common? The need to stay in relationship. Three years ago, I heard this simple statement and it hit me like a ton of
Last year, I wrote more than 100 posts for The DO Loop blog. The most popular articles were about SAS programming tips for data analysis, statistical analysis, and data visualization. Here are the most popular articles from 2019 in each category. SAS programming tips Create training, testing, and validation data
It is a generally accepted maxim in business that you can’t cost-cut your way to success. Growth requires attention to the top line, which in turn is largely driven by innovation. Applying analytics to improving innovation suffers from the same lack of direction as does Analytics for strategy, but with
Do you find yourself on the road during the holidays, and looking for a place to eat that's still open? Or perhaps you're like me - I don't cook at home, and I'm not really into visiting family for the holidays and eating with them. Well then, you probably know
Looking for more festive fun? Try this workout with the whole family! Preppin for the Holidays Workout See you in the New Year!
SAS Model Studio lets modelers use SAS alongside open source to create and compare models in a pipeline and project. Debugging, model comparison, and visual pipelines are included.
Computer vision can augment radiologists and make the image interpretation process cheaper, faster and more accurate. The ultimate goal is to achieve a better patient outcome facilitated by the use of computer vision.
This article discusses how to use SAS to filter variables in a dataset based on the percentage of missing values or duplicate values. The missing value statistics can be implemented by either DATA step programming on your own or reusing the existing powerful PROC FREQ.
The Rise of Skywalker, the final movie in the third set of the three Star Wars trilogies, will finally be released tomorrow (December 20, 2019). That's 9 movies, in about 42 years. And, if the first movies aren't still fresh in your mind (or perhaps you weren't even born when
From sports and health data to environmental and policy data, our data visualization experts have used SAS technologies to explore and present analyses on hundreds of topics throughout the year. We've selected some of the best in this end-of-year roundup to showcase their skills and SAS technologies, and to demonstrate
This blog focuses on using SASPy for modeling and machine learning.
Crucially, this data not only needs to be standardised but also it needs to be actionable. By that, I mean this behavioural data needs.
How can a solar farm ensure peak energy production? And what factors can be adjusted to optimize production throughout the day, the week and season-by-season? These are just some of the questions that a team of data scientists have asked and answered about the SAS solar farm using data, drones
