A previous article describes how to use the SGPANEL procedure to visualize subgroups of data. It focuses on using headers to display information about each graph. In the example, the data are time series for the price of several stocks, and the headers include information about whether the stock price
This post is part of our Young Data Scientists series, featuring the motivation, work and advice of the next generation of data scientists. Be sure to check back for future posts, or read the whole series by clicking on the image to the right. This July, the inaugural Academic SAS
The skin is the largest organ in the body. Although many might not think of it as an organ, it accounts for ~15 percent of our body weight and it protects us. We may consider just the outer layer since that's what we see, but there are two main layers
Many characteristics of a graph are determined by the underlying data at run time. A familiar example is when you use colors to indicate different groups in the data. If the data have three groups, you see three colors. If the data have four groups, you see four colors. The
This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS graph. Today I'm focusing on a diverging bar chart (where one bar segment is above the zero line, and the other is below). What type of data
4 tips to help insurers comply with regulatory reporting requirements as they move to the cloud.
I've previously written about how to generate all pairwise interactions for a regression model in SAS. For a model that contains continuous effects, the easiest way is to use the EFFECT statement in PROC GLMSELECT to generate second-degree "polynomial effects." However, a SAS programmer was running a simulation study and
Note from Udo Sglavo on mathematical optimization: When data scientists look at the essence of analytics and wonder about their daily endeavor, it often comes down to supporting better decisions. Peter F. Drucker, the founder of modern management, stated: "Whenever you see a successful business, someone once made a courageous decision."
It's been a great ride Since 2014, the Operations Research Blog has covered a broad range of topics related to real applications of operations research. Paraphrasing Principal Product Manager for Optimization Ed Hughes' first post - this blog covered how OR methods could be applied to organizational and business planning
One of the first things I learned in SAS was how to use PROC PRINT to display parts of a data set. I usually do not need to see all the data, so my favorite way to use PROC PRINT is to use the OBS= data set option to display
This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS ODS Graphics graph. Can you guess what data I'll be using this time? Here's a photo with a hint. This is Keeler, California (just west of Death
"With #HackinSAS, we want to build on the best of many young ideas into innovative products on one platform."
An UpSet plot is used to visualize intersections of sets. In this post, we will illustrate techniques to create this plot using the Graph Template Language (GTL). We assume that you are familiar with GTL. From the point of view of construction, we leverage the LATTICE layout available in GTL
“I admit my opinion on this is quite radical in some places.”
„Wir wollen mit #HackinSAS aus vielen jungen Ideen die besten auf einer Plattform zu innovativen Produkten weiterbauen.“
Go from gridlocked model development to accelerated innovation by moving to the cloud.
Look at the following matrices. Do you notice anything that these matrices have in common? If you noticed that the rows of each matrix are arithmetic progressions, good for you. For each row, there is a constant difference (also called the "increment") between adjacent elements. For these examples: In the
This is another in my series of blogs where I take a deep dive into converting a customized R graph into a SAS ODS Graphics graph. This time the example is a needle plot (that's essentially like a bar plot, with lots of tiny bars, plotted along a continuous xaxis).
Some organizations need advanced analytics that are customized, configured and managed off-site. That’s where the SAS Cloud comes in. Ever wondered what it takes to get a managed application services (MAS) project implemented and supported on an ongoing basis? That’s where Jenny Welsh comes in. She’s the Senior Director of Project Management, Technical Account Management
In a previous article, I showed how to generate random points uniformly inside a d-dimensional sphere. In that article, I stated the following fact: If Y is drawn from the uncorrelated multivariate normal distribution, then S = Y / ||Y|| has the uniform distribution on the unit sphere. I was
Future of the retail industry - Interview with Rouven Dörr and Frederic Kerber about AI effects at Globus.
I previously blogged about the impact drafting offensive linemen has on winning and making the playoffs. Since I wrote that, we have new data points to add to the analysis and an exciting finale to this NFL season. In this blog post, I’ll explore a few more arguments both in
Imagine an animal that is searching for food in a vast environment where food is scarce. If no prey is nearby, the animal's senses (such as smell and sight) are useless. In that case, a reasonable search strategy is a random walk. The animal can choose a random direction, walk/swim/fly
Sophie Achermann's project shows the extent to which AI can positively influence the ethics debate surrounding artificial intelligence.
In the past, Sanjay showed how to create several basic graphs using both R and SAS ODS Graphics code. I'm going to take a bit of a "deeper dive" and focus a series of blog posts on highly customized graphs. Hopefully the code for these customizations will provide you with
Economic, tech and regulatory trends are shifting asset liability management strategies.
Stu Bradley evaluates his 2020 predictions for fraud, AML compliance and security.
Sophie's Projekt zeigt, dass die Ethikdebatte um KI mit KI gelöst werden kann. Bei ihr offenbart KI Diskriminierung im Internet.
The inverse gamma distribution is a continuous probability distribution that is used in Bayesian analysis and in some statistical models. The inverse gamma distribution is closely related to the gamma distribution. For any probability distribution, it is essential to know how to compute four functions: the PDF function, which returns
Safety, efficacy, speed and costs must all be prioritized and balanced in the delivery of life-changing therapies to patients. A drug that's quickly and cost-efficiently delivered to market, but isn’t effective and safe is unacceptable. An effective, safe drug that doesn’t get to patients in time to save lives has
