Amidst the growing popularity of modern machine learning and deep learning techniques, one of the biggest challenges is the ability to obtain large amounts of training data suitable for your use case. This post discusses how the analytical approach for Named Entity Recognition (NER) can help.
Our dog, Tucker Barktholomew, has this internal clock. Every night at 8pm, he gets up and walks over to my husband and whimpers. It’s his time to go outside in the yard to say farewell to the day and prep for bedtime. He and his sister, Bella Bixby, come in
A quantile-quantile plot (Q-Q plot) is a graphical tool that compares a data distribution and a specified probability distribution. If the points in a Q-Q plot appear to fall on a straight line, that is evidence that the data can be approximately modeled by the target distribution. Although it is
The potential for artificial intelligence (AI) and the Internet of Things (IoT) to transform the way health care and therapies are delivered is tremendous. It’s not surprising that the health care and life sciences industries are being flooded with information about how these new technologies will change everything. While it’s
When I fill up my daily-driver Prius, the price of gasoline isn't that important. But when I occasionally take a trip in my V8 Suburban, I pay a lot more attention! Therefore I was pleasantly surprised when I noticed that gasoline prices have been falling. How much have they fallen,
Now is your chance to learn even more about SAS hash tables with four additional articles on the subject.
This Is the latest installment in my series of posts dedicated to describing IoT applications in retail. Why do I want retailers to move more quickly in their widescale adoption of IoT in the coming year? Because I'm confident they'll see results, and these use cases help explain how. As
In the second of three posts on using automated analysis with SAS Visual Analytics, we used the automated analysis object to get a better understanding of our variable of interest, X-Sell and Up-sell Flag, and how it is influenced by other variables in our dataset. In this third and final
A social worker at a software company. On the surface, the two don’t seem to go together. Why would a social worker work for a software company? But asking that question forces us to evaluate other roles that contribute to the SAS experience: Why would an artist choose to bring
When you overlay two series in PROC SGPLOT, you can either plot both series on the same axis or you can assign one series to the main axis (Y) and another to a secondary axis (Y2). If you use the Y and Y2 axes, they are scaled independently by default,
AI seems to be mentioned everywhere these days. But how can AI be used in day-to-day work? Here, Katherine Taylor explains an example of "practical AI" in banking using SAS Visual Data Mining and Machine Learning. She'll explore more business problems and industries in future posts.
Does this situation sound familiar? You have a complex analysis that must be finished urgently. The data was delivered late and its quality and structure are far from the expected standard. The time pressure to present the results is huge, and your SAS program is not giving you the expected
Sometimes it is difficult to know what parameters to use when projecting map data onto Esri or OpenStreetMaps in PROC SGMAP. The shapefile .PRJ file contains everything you need to set these parameters in PROC GPROJECT. In a previous blog, you saw how to lookup projections at a web site,
My New Year's resolution: “Unclutter your life” and I hope this post will help you do the same. Here I share with you a data preparation approach and SAS coding technique that will significantly simplify, unclutter and streamline your SAS programming life by using data templates. Dictionary.com defines template as
Everyone loves pancakes. But who has time to slave over a hot griddle flipping pancake, after pancake, after pancake while listening to hungry, grumbling family members waiting impatiently for the next batch of pancakes to be ready? Well, sheet pan pancakes are here to save the day!
Numbers don't lie, but sometimes they don't reveal the full story. Last week I wrote about the most popular articles from The DO Loop in 2018. The popular articles are inevitably about elementary topics in SAS programming or statistics because those topics have broad appeal. However, I also write about
David Loshin examines various aspects of data governance that are essential for regulatory compliance.
Are you thinking about adoption? Congratulations! Here are some questions to ask yourself as you begin this journey, particularly if you don't have any experience raising children. The following are just a few of many considerations. How will your personality blend with parenting? How well do you (and if you have
I have done my share of traveling over the years. Some as a tourist and some as a global citizen in search of understanding new cultures and peoples. Regardless of the intent, one thing remained true. I hated packing. When my husband and I were preparing to move overseas to
I love my job, but I am not a morning person so I need a bit of inspiration to get out of bed. I’ve been a marketer for more than 15 years, and that inspiration has never been easier to find than since I joined SAS as an industry marketer
In the first of three posts on using automated analysis with SAS Visual Analytics, we explored a typical visualization designed to give telco customer care workers guidance on customers most receptive to upgrade their plans. While the analysis provided some insight, it lacked analytical depth -- and that increases the risk of wasting time, energy and
I recently took a SAS HireVue. What’s a HireVue you ask? Two words – virtual interview. It was my first experience with virtual interviewing, and I was nervous. Like, final exam-level nervous. Like many, I don’t enjoy seeing myself on video and mentally psyched myself out for what I anticipated
Deming regression (also called errors-in-variables regression) is a total regression method that fits a regression line when the measurements of both the explanatory variable (X) and the response variable (Y) are assumed to be subject to normally distributed errors. Recall that in ordinary least squares regression, the explanatory variable (X)
Do you want to start your year feeling great about data and analytics? Then dive into this list and read a few data for good stories that you might have missed in 2018. You'll learn how data scientists are using analytics to save endangered species, prevent suicide, combat cancer -
Recently, I was asked about a formatting situation where the DOLLAR8.2 format was specified on the data column, but the cents on the axis showed showed just one digit instead of the two requested by the format. data example; input time money; datalines; 1 1 2 1.5 3 2 4
You're the operations director for a major telco's contact center. Your customer-care workers enjoy solving problems. Turning irate callers into fans makes their day. They also hate flying blind. They've been begging you for deeper insight into customer data to better serve their callers. They want to know which customers
Last year, I wrote more than 100 posts for The DO Loop blog. Of these, the most popular articles were about data visualization, SAS programming tips, and statistical data analysis. Here are the most popular articles from 2018 in each category. Data Visualization Visualize repetition in song lyrics: In one
Joyce Norris-Montanari discusses data engineers in the second of her two-part series.
This post rounds out the year and my series of articles on SAS REST APIs. You can read all of my posts on this topic here. The first two articles in the series: Using SAS Viya REST APIs to access images from SAS Visual Analytics and Using SAS Cloud Analytics
By now, we're all aware of the seismic shift occurring across industries as a result of the Internet of Things. But do we all see the changes in the same light? From where I sit, there's still a wide gap in viewpoints and perspectives. In its simplest form, we often
