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
Well SAS, you outdid yourselves once again! For 8 years running, we've been collecting and donating leftover and excess Halloween candy from SAS families. After last year's record breaking 680 pounds of donated candy, we challenged you to raise the {candy} bar even higher this year...and man did you do
A 2-D "bin plot" counts the number of observations in each cell in a regular 2-D grid. The 2-D bin plot is essentially a 2-D version of a histogram: it provides an estimate for the density of a 2-D distribution. As I discuss in the article, "The essential guide to
I saw an article that claimed Donald Trump recently tweeted 123 times in one day. This got me wondering how many times he typically tweets during a day, and whether this number has changed over the years. This seems like it might be a good topic to analyze with a
I have a theory about parents (most often mothers, but I might be biased based on my experience!). When we are born, we pick up a suitcase filled with guilt. The contents may shift during flight, but it is almost always full. Some examples are: during pregnancy – whether or not
The next time you pick up a book, you might want to pause and think about the work that has gone into producing it – and not just from the authors.
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many
We’re proud of our unique company culture that spans across offices, divisions and geographies. It’s one of the reasons SAS was recently named among the top workplaces in the world by Fortune’s Great Place to Work! If you’re curious about what it is that makes SAS such a great place to work, one answer
Rockin' around the Christmas tree At the Christmas party hop. – Brenda Lee Last Christmas, I saw a fun blog post that used optimization methods to de-noise an image of a Christmas tree. Although there are specialized algorithms that remove random noise from an image, I am not going to
I can tell that my area (Wake county, NC) has a growing population, because the traffic keeps getting worse and worse. But it's a little difficult to quantitatively gauge growth by looking at traffic congestion. Therefore let's have a look at a more direct measurement - the actual population data!
Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.
Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So,
I caught up with Ioannis Tsiliras, Director at OTE-COSMOTE, to discuss innovation, real-time and customer contact.
Jeff Stander helps us understand the different options of preparing data for analytics.
Who says that holidays have to be stuffed with belly-stuffing traditions? While the average American gains about one to two pounds between Thanksgiving and New Year’s Day, weight gain, indigestion and post-meal sluggishness do not have to be on your wish list.
Binary matrices are used for many purposes. I have previously written about how to use binary matrices to visualize missing values in a data matrix. They are also used to indicate the co-occurrence of two events. In ecology, binary matrices are used to indicate which species of an animal are
For the last two months I’ve seen commercial after commercial with smiling faces, catchy tunes, and kids running around houses full of good food, presents, and family. This season, we’re encouraged to remember what “matters”. Here’s something else to remember: the goal of these commercials is for the company to
As we're getting into December, and the weather is getting colder, I thought it would be cool to plot some Antarctica data. You might remember I did this about 1.5 years ago, using good-old Proc Gmap, a special projection, and lots of tricky annotation. Well, this time let's use the
The DATA step remains a popular way to create and manipulate SAS data sets. Whether you are reshaping a data set entirely or simply assigning values to a new variable, there are numerous tips and tricks that you can use to save time and keystrokes.
