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Data Visualization

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Data Visualization | Programming Tips

Robert AllisonDecember 10, 2019 0

Mapping Antarctica, with a tile-based map

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

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Data Visualization | Learn SAS | Programming Tips

Leonid BatkhanDecember 9, 2019 0

How to compare SAS data tables for common/uncommon columns

SAS' Leonid Batkhan shows you how to compare SAS data sets that include common and uncommon columns. You'll learn how to check mark commonalities and color-code differences in data tables side-by-side columns and add a comments field to see greater detail.

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Data Visualization | Learn SAS

Rick WicklinDecember 9, 2019 0

Visualize data before and after a treatment

Recently I showed how to visualize and analyze longitudinal data in which subjects are measured at multiple time points. A very common situation is that the data are collected at two time points. For example, in medicine it is very common to measure some quantity (blood pressure, cholesterol, white-blood cell

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Analytics | Data Visualization

Rick WicklinDecember 5, 2019 0

Longitudinal data: The mixed model

This is a second article about analyzing longitudinal data, which features measurements that are repeatedly taken on subjects at several points in time. The previous article discusses a response-profile analysis, which uses an ANOVA method to determine differences between the means of an experimental group and a placebo group. The

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Data Visualization | Programming Tips

Robert AllisonDecember 3, 2019 0

Free maps to use with SGmap, in Base SAS!

If you don't have a SAS/Graph license, then you're probably using the ODS Graphics 'sg' procedures that come with Base SAS to create your graphs and maps. And if you've tried plotting data on a map, you probably noticed that SGmap lets you overlay point-data on an OpenStreetmap, but you

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Analytics | Data Visualization

Rick WicklinNovember 27, 2019 0

Evaluate a function on a linear subspace

This article discusses how to restrict a multivariate function to a linear subspace. This is a useful technique in many situations, including visualizing an objective function that is constrained by linear equalities. For example, the graph to the right is from a previous article about how to evaluate quadratic polynomials.

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Data Visualization

Robert AllisonNovember 25, 2019 0

Plotting NC's new congressional districts maps for 2020

North Carolina recently re-drew the congressional district boundaries for the upcoming 2020 election. Here's a copy of the new map, from the ncleg.gov website: A couple of years ago, I created an enhanced version of the 2016/18 map, and I thought I'd do the same for the new 2020 map...

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Analytics | Data Visualization | Programming Tips

Rick WicklinNovember 25, 2019 0

Evaluate a quadratic polynomial in SAS

What is an efficient way to evaluate a multivariate quadratic polynomial in p variables? The answer is to use matrix computations! A multivariate quadratic polynomial can be written as the sum of a purely quadratic term (degree 2), a purely linear term (degree 1), and a constant term (degree 0).

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Data Visualization | Programming Tips

Robert AllisonNovember 22, 2019 0

These mortgage rates look shady to me!

The English language can be a bit tough to learn. One reason is that sometimes words can have more than one meaning. For example, the word shady can mean "of doubtful honesty or legality," or it can mean "giving shade from sunlight." Which of those meanings am I thinking about,

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Banking | Government

Data Visualization | Programming Tips

Rick WicklinNovember 18, 2019 0

Create a strip plot in SAS

My colleague, Mike Drutar, recently showed how to create a "strip plot" that shows the distribution of temperatures for each calendar month at a particular location. Mike created the strip plot in SAS Visual Analytics by using a point-and-click interface. This article shows how to create a similar graph by

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Data Visualization

Teri PatsilarasNovember 14, 2019 0

New control prompt placement option in SAS Visual Analytics

Introduced in the SAS Visual Analytics 8.4 release is the ability to control the layout position of these prompts. Using my example report, let’s change the placement of these prompts.

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Analytics | Data Visualization

Rick WicklinNovember 13, 2019 0

Create biplots in SAS

Biplots are two-dimensional plots that help to visualize relationships in high dimensional data. A previous article discusses how to interpret biplots for continuous variables. The biplot projects observations and variables onto the span of the first two principal components. The observations are plotted as markers; the variables are plotted as

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Analytics | Data Visualization

Robert AllisonNovember 11, 2019 0

Will vinyl records outsell CDs in 2019?

I recently saw in several social media posts that sales of vinyl records are forecast to be higher than sales of CDs this year (2019) for the first time since 1986. Two questions came to mind - 1) Is this true? and 2) Is this a big deal? Let's analyze

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Sports & Entertainment

Data Visualization | Programming Tips

Robert AllisonNovember 7, 2019 0

Does plotting data give you the jitters?

With all this sitting at a desk writing code, I have to do something to keep in shape. And for me, that something is paddling boats ... as fast as I can - and occasionally trying to race them. This past weekend I entered the race at Hunting Island, SC.

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Sports & Entertainment

Analytics | Data Visualization | Programming Tips

Rick WicklinNovember 6, 2019 0

What are biplots?

Principal component analysis (PCA) is an important tool for understanding relationships in continuous multivariate data. When the first two principal components (PCs) explain a significant portion of the variance in the data, you can visualize the data by projecting the observations onto the span of the first two PCs. In

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Analytics | Data Visualization | Learn SAS

Rick WicklinNovember 4, 2019 0

How to interpret graphs in a principal component analysis

Understanding multivariate statistics requires mastery of high-dimensional geometry and concepts in linear algebra such as matrix factorizations, basis vectors, and linear subspaces. Graphs can help to summarize what a multivariate analysis is telling us about the data. This article looks at four graphs that are often part of a principal

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Data Visualization | Programming Tips

Robert AllisonOctober 31, 2019 0

Manifesting a 'Crazy Good' county ranking map

I was recently reading David Mintz's excellent SESUG 2018 conference paper on Five Crazy Good Visualizations and How to Plot Them, and saw a map that caught my eye. David showed how to create a similar map, but with completely different data - I decided to try creating a map

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Data Visualization | Learn SAS | Programming Tips

Leonid BatkhanOctober 30, 2019 0

How to create checklist tables in SAS®

Leonid Batkhan shows you easy ways to create a checklist table in SAS software.

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Data Visualization | Programming Tips

Robert AllisonOctober 23, 2019 0

Just how fast was Eliud's 2 hour marathon?!?

Eliud Kipchoge recently ran a marathon in under 2 hours. It was a special marathon where they had set up the best possible conditions to help him achieve this goal (such as swapping in pace-setting runners to block the wind for him), so it won't count as the world record

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Sports & Entertainment

Analytics | Data Visualization | Learn SAS

Rick WicklinOctober 21, 2019 0

Compute and visualize binomial proportions in SAS

Computing rates and proportions is a common task in data analysis. When you are computing several proportions, it is helpful to visualize how the rates vary among subgroups of the population. Examples of proportions that depend on subgroups include: Mortality rates for various types of cancers Incarceration rates by race

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Data Visualization | Programming Tips

Robert AllisonOctober 17, 2019 0

The Halloween candy challenge (for kids)

You've probably heard of the stupid 'challenges' where people usually end up hurting themselves (cinnamon challenge, Carolina reaper pepper challenge, etc). I thought it might be more helpful to society to have a challenge that could actually help people, rather than hurting them! Therefore I came up with the Halloween

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Analytics | Data Visualization

Rick WicklinOctober 16, 2019 0

Visualize a regression with splines

The EFFECT statement is supported by more than a dozen SAS/STAT regression procedures. Among other things, it enables you to generate spline effects that you can use to fit nonlinear relationships in data. Recently there was a discussion on the SAS Support Communities about how to interpret the parameter estimates

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Data Visualization | Programming Tips

Robert AllisonOctober 9, 2019 0

SAS Championship (golf) - plotting the results

The SAS Championship golf tournament is happening this week, here in Cary, North Carolina! If you're following along and watching the scores, you might wonder how they're doing compared to past years, and what kind of scores it generally takes to win. Follow along as I plot the data from

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Sports & Entertainment

Analytics | Data Visualization

closeup of golf club and golf ball

Frank SilvaOctober 9, 2019 0

How to win the SAS Championship

What can data tell us about the easiest hole at your favorite golf course? Or which hole contributes the most to mastering the course? A golf instructor once told me golf is not my sport, and that my swing is hopeless, but that didn’t stop me from analyzing golf data!

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Analytics | Data Visualization

Rick WicklinOctober 9, 2019 0

What statistic should you use to display error bars for a mean?

In a previous article, I mentioned that the VLINE statement in PROC SGPLOT is an easy way to graph the mean response at a set of discrete time points. I mentioned that you can choose three options for the length of the "error bars": the standard deviation of the data,

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Data Visualization | Learn SAS

Rick WicklinOctober 7, 2019 0

Graph the mean response versus time in SAS

It is always great to read an old paper or blog post and think, "This task is so much easier in SAS 9.4!" I had that thought recently when I stumbled on a 2007 paper by Wei Cheng titled "Graphical Representation of Mean Measurement over Time." A substantial portion of

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Data Visualization | Programming Tips

Robert AllisonOctober 2, 2019 0

When did household air conditioning become ubiquitous in the US?

We've had record high 90+ degree temperatures here in the southeast US this past week (September / October), and it has made me appreciate having an air conditioner. Indeed, air conditioners were pretty much invented here in North Carolina (see Eric Cramer). They are used in pretty much every building

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Data Visualization | Fraud & Security Intelligence

Hidden Insights: Ten insights on payment fraud analytics to sharpen your approach

Ulrike BergmannOctober 1, 2019 0

10 ways to sharpen your approach to payment fraud analytics

New payment methods will deliver huge improvements in speed of transaction, but also provide challenges.

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Data Visualization | Programming Tips

Robert AllisonSeptember 25, 2019 0

Graphing the record unemployment in California and New York

Lately we've been hearing a lot about "record low unemployment" in the news. Being a data guy, I wanted to see it for myself. Follow along as I create some custom unemployment graphs from the official data for California and New York (two of our most populous states). Or, if

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Advanced Analytics | Data Visualization

Dr. Biljana Belamaric Wilsey

Dr. Biljana Belamaric WilseySeptember 25, 2019 0

A data fairy tale: Which speakers are the best received at conferences?

Importing about 4,400 messages worth of data into SAS Visual Text Analytics to exploring it and create an information extraction model.

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