SAS Blogs

Data Visualization

Get the right information, with visual impact, to the people who need it

Robert AllisonMarch 14, 2019 0

US ethanol fuel production - a beautiful graph!

US farmers grow a lot of food ... but did you know some of them also grow fuel for our vehicles? Follow along and you'll learn how much fuel they grow, and also learn some tips about plotting this type of data! These days most gasoline in the US has

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Energy & Utilities

Data for Good | Data Visualization | Programming Tips

Robert AllisonMarch 7, 2019 0

Comparing child poverty around the world

According to the most recent data, the child poverty rate in China is 33.1% - the rate in Denmark is 2.9%. Where do other countries fall in between these two extremes? Let's build a graph and find out! (or, if you're not interested in the code - jump to the

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Government

Data Visualization | Learn SAS

Rick WicklinMarch 6, 2019 0

Use PROC BOXPLOT to display hundreds of box plots

A previous article shows how to use a scatter plot to visualize the average SAT scores for all high schools in North Carolina. The schools are grouped by school districts and ranked according to the median value of the schools in the district. For the school districts that have many

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Analytics | Data Visualization

Robert AllisonMarch 5, 2019 0

The "who can't spell what" map

Which words do people have the most trouble spelling? We now have some insight into this question, based on a Google Trends analysis. Let's do a little fun analytics, and plot the results on a map! But before we get started, let's go old-school for a minute. Before the days

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Education

Analytics | Data Visualization

Rick WicklinMarch 4, 2019 0

Visualize SAT scores in North Carolina

Standardized tests like the SAT and ACT can cause stress for both high school students and their parents, but according to a Wall Street Journal article, the SAT and ACT "provide an invaluable measure of how students are likely to perform in college and beyond." Naturally, students wonder how their

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Data Visualization

Christina HsiaoFebruary 28, 2019 0

Automatically extracting key information from textual data

There is tremendous value buried text sources such as call center and chat dialogues, survey comments, product reviews, technical notes, legal contracts... How can we extract the signal we want amidst all the noise?

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Data Visualization | Learn SAS

Scott HicksFebruary 27, 2019 0

Using Custom Coordinates for map creation in SAS Visual Analytics

In this post, we continue our discussion of geography variables, the foundation of Visual Analytics Geo maps. This time we will look at Custom Coordinates. As with any statistical graph, understanding your data is key. But when using Custom Coordinates for geographic maps, this understanding becomes even more important. Use

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Analytics | Data Visualization

Robert AllisonFebruary 27, 2019 0

Mapping out NC's new vehicle emissions testing rules

If you live in North Carolina, chances are you have to get your vehicle inspected each year, before you can renew your license plate. The inspection consists of a safety portion, and in some counties an emissions portion. In the past, 48 of NC's 100 counties required the emissions portion

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Government

Data Visualization | Learn SAS

Rick WicklinFebruary 27, 2019 0

3 ways to create nested box plots in SAS

Box plots are a great way to compare the distributions of several subpopulations of your data. For example, box plots are often used in clinical studies to visualize the response of patients in various cohorts. This article describes three techniques to visualize responses when the cohorts have a nested or

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Analytics | Data Visualization | Learn SAS

Rick WicklinFebruary 25, 2019 0

Graphs of bootstrap statistics in PROC TTEST

When I run a bootstrap analysis, I create graphs to visualize the distribution of the bootstrap statistics. For example, in my article about how to bootstrap the difference of means in a two-sample t test, I included a histogram of the bootstrap distribution and added reference lines to indicate a

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Analytics | Data Visualization

Rick WicklinFebruary 20, 2019 0

An easier way to create a calibration plot in SAS

Last year I published a series of blogs posts about how to create a calibration plot in SAS. A calibration plot is a way to assess the goodness of fit for a logistic model. It is a diagnostic graph that enables you to qualitatively compare a model's predicted probability of

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Data Visualization | Programming Tips

Robert AllisonFebruary 19, 2019 0

Graphing cardiovascular disease mortality data

I have written several blog posts about longevity, and here is another one related to that topic. Cardiovascular disease (cvd) is one of the more common causes of death, and I was wondering how those numbers have changed over time. Are fewer people dying from cvd, or are more people

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Health Care

Data Visualization | Learn SAS | Programming Tips

Martin MinceyFebruary 15, 2019 0

Embed scalable graphics using the ODS HTML5 destination

Beginning with SAS® 9.4, you can embed graphics output within HTML output using the ODS HTML5 destination. This technique works with SAS/GRAPH® procedures (such as GPLOT and GCHART), SG procedures (such as SGPLOT and SGRENDER), and when you create graphics output with ODS Graphics enabled. Most (if not all) existing

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Data Visualization | Programming Tips

Robert AllisonFebruary 14, 2019 0

Analyzing age and gender distribution, with a pyramid chart

With the US census coming in 2020, I've decided to sharpen my skills at graphing census data. And today I'm working on creating a population pyramid chart to analyze the age and gender distribution. Follow along if you'd like to see how to create such a chart ... or jump

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Government

Data Visualization | Programming Tips

Robert AllisonFebruary 8, 2019 0

How to show recessions on your SGplot line graph

Plotting just your data often helps you gain insight into how it has changed over time. But what if you want to know why it changed? Although correlation does not always imply causation, it is often useful to graph multiple things together, that might logically be related. For example, recessions

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Government

Data Visualization | Learn SAS

Scott HicksFebruary 8, 2019 0

Fundamentals of SAS Visual Analytics geo maps

Creating a map with SAS Visual Analytics begins with the geographic variable. This blog post explains the first type of geography variable that VA supports: predefined. Future posts will cover the other two types of geography variables in VA: custom coordinates and custom polygons.

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Data Visualization | Learn SAS | Programming Tips

Kelly MillsFebruary 4, 2019 0

Use PROC GREMOVE and GREDUCE for Nice SGMAP Regions

In the previous Graphically Speaking blog for PROC SGMAP, you used PROC GPROJECT so map regions would match OpenStreetMap and Esri background images. This time, the same British Columbia shapefile is used with: PROC GREMOVE to remove unwanted boundary lines PROC GREDUCE to reduce map data PROC GPROJECT to zoom

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Analytics | Data Visualization | Programming Tips | SAS Administrators | SAS Events

Frederik VandenbergheFebruary 1, 2019 0

Installing SAS Viya Azure virtual machines with a single click

I don't know about you, but when I read challenges like: Detecting hidden heart failure before it harms an individual Can SAS Viya AI help to digitalize pension management? How to recommend your next adventure based on travel data How to use advanced analytics in building a relevant next best

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Data Visualization | Programming Tips

Robert AllisonJanuary 31, 2019 0

Creating a fancy life expectancy chart, with SGplot

You might have noticed I've been trying out SAS ODS Graphics lately, whereas in the past I mainly used SAS/Graph for my samples. In this blog post I step you through my latest fancy SGplot graph - hopefully you'll learn some tips & techniques, as you follow along. (I don't

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Health Care

Data Visualization | Programming Tips

Robert AllisonJanuary 29, 2019 0

Visualizing unemployment data, with a band plot

Many areas of the US are experiencing record low unemployment. This is great at the national level, and also great at a personal level (for example, I now have fewer unemployed friends asking to borrow money!) But just how low is the US unemployment rate, and how does it compare

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Government

Data for Good | Data Visualization

Robert AllisonJanuary 24, 2019 0

Re-creating a Hans Rosling graph animation, with SAS!

As we're approaching the anniversary of Hans Rosling's passing, I fondly remember his spectacular graphical presentations comparing the wealth and health of nations around the world. He certainly raised the bar for data visualization, and his animated charts inspired me to work even harder to create similar visualizations! What better way

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Data Visualization

Dan HeathJanuary 17, 2019 0

Drillable Titles and Footnotes

Tool tip and drill-down functionality is commonly used to explore plot data in a graph, particularly on the web. Occasionally, you might even have the need to add this drill-down functionality to your titles or footnotes, possibly to reference more details or source information. The TITLE and FOOTNOTE statements in

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Data Visualization | Programming Tips

Robert AllisonJanuary 17, 2019 0

Using International characters in a SAS graph

They say "The Sun never sets on the SAS Empire" ... and it's true! There are SAS users all over the world, and SAS output & results could be in any language. Therefore, if you're a SAS programmer, you might need to know how to create SAS graphs with international

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Data Visualization | Programming Tips

Robert AllisonJanuary 15, 2019 0

Let's track the falling gasoline prices!

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,

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Energy & Utilities | Travel

Analytics | Artificial Intelligence | Data Visualization | Machine Learning | Programming Tips

Melanie CareyJanuary 14, 2019 0

How SAS Visual Analytics' automated analysis takes customer care to the next level - Part 3

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

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Data Visualization | Learn SAS

Rick WicklinJanuary 14, 2019 0

How to align the Y and Y2 axes in PROC SGPLOT

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,

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Data Visualization | Learn SAS | Programming Tips

British Columbia with projected values on OpenStreetMap

Kelly MillsJanuary 10, 2019 0

Use PROC GPROJECT to Project Choromap Regions Successfully in PROC SGMAP

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,

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Analytics | Data Visualization | Programming Tips

Process flow diagram shows how to resample data to create a bootstrap distribution.

Rick WicklinJanuary 9, 2019 0

10 posts from 2018 that deserve a second look

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

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Analytics | Artificial Intelligence | Data Visualization | Machine Learning | Programming Tips

Melanie CareyJanuary 7, 2019 0

How SAS Visual Analytics' automated analysis takes customer care to the next level - Part 2

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

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Communications

Data Visualization

Dan HeathJanuary 4, 2019 0

This Doesn't Make "Cents" -- A Question about Formatting

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

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