Marathons seem to be popular these days, therefore I decided to dive into some data and find a way to apply analytics. You might find this interesting if you're a fan of marathons - or if you like seeing the details behind cool graphing techniques! Before we get started, here's
You might have seen in the news that US exports of natural gas to Europe are up 300%. And we recently crossed the threshold where we export more natural gas than we import. This seems like a momentous occasion, and worthy of a graph! But first, let me make sure
I always recommend looking at data in several different ways to get a more complete mental picture. And when the data is changing over time, one great way to view it is using an animation. Follow along for some tips & tricks to animate your own data over time. I'll
A few years ago Sanjay showed how to create a polar graph by creating a gtl template, and then plotting it using Proc SGRender. These days, Proc SGPlot has all the functionality you need to create this graph, therefore I've rewritten the example to just use SGPlot. And while I
While we're on the topic of mortgage rates, let's explore another technique for plotting and comparing the rate data over several years. Last time, we plotted each year's data in a separate graph, and paneled them across the page. This time, let's overlay multiple years together in the same graph.
By using data provided by a Game of Thrones fan, we use SAS to look at screen time for scene locations and characters in this crazy popular show.
SAS Global Forum 2019 (SGF) is rapidly approaching - and which of the hundreds of presentations are you planning to attend? Well, no matter what types of analyses you perform with SAS software, you'll most likely want to present your findings in a really nice/informative graph! Therefore I highly recommend
I recently saw an interesting graph that showed the number of motor vehicle crash deaths has been going down. The graph showed deaths per mile. That's a good statistic, but I wondered whether there were other ways to look at the data? An Interesting Graph Here's the graph, from an
During the year 2020, many countries and areas will be conducting their decennial census, and making projections to estimate what their population will be in the future. Therefore I decided to dust off one of my old SAS/Graph samples based on the 2010 census, and rewrite it using more modern
Flooding has been in the news the past few days, and that makes me want to analyze some data! I hang out at Jordan Lake (here in central North Carolina) a lot, so I decided to download the data for that lake, and do a graphical analysis. If you're interested
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
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
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
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
By using a format, you can change the tick values and create values that range from 100 to 50 to 100 to display the probable outcome of a sporting event.
Have you ever wanted to see examples of all of the output styles that SAS provides? You can run a program and look at the resulting file, styles.html. This post explains more about the styles that you will see including a discussion of attribute priority.
You can use PROC SGPLOT, BY variables, and a SG annotation data set together to put separate annotations into each BY group. However, you need two more steps to make it happen. This post shows all of the steps necessary to put different annotations into each graph when you have a BY variable.
It seems only a few months back I posted an article on creating Pie Charts using a GTL based macro. Well, looking back, that was almost 6 years ago!! Recently, a colleague here at SAS needed to create Pie Charts in his report along with other plots created using SGPLOT
A while back a user requested to create a 3D WaterFall chart as presented by E Castanon Alvarez et. al. in "3D waterfall plots: a better graphical representation of tumor response in oncology" Annals of Oncology, Volume 28, Issue 3, 1 March 2017, Pages 454–456. I posted a blog article titled
There were 97 e-posters in The Quad demo room at SAS Global Forum this year. And the one that caught my eye was Ted Conway's "Periodic Table of Introductory SAS ODS Graphics Examples." Here's a picture of Ted fielding some questions from an interested user... He created a nice/fun graphic,
The REG statement fits linear regression models, displays the fit functions, and optionally displays the data values. You can fit a line or a polynomial curve. You can fit a single function or when you have a group variable, fit multiple functions.
PROC SGPLOT looks at the PROC statements, it looks at the data, and it writes a template that might depend on the data. If you want to understand how the graph is created, you need to look at the PROC SGPLOT code, the graph template and data objects that it constructs, and the final graph.
Usually, you use axis tables when there is a clear link between the rows of the axis table and the graph. I'll show how to use an axis table to create a table that is independent of the graph. This post also uses discrete attribute maps.
This post shows you how to run PROC SGPLOT, create smooth curves by using penalized B-splines, use ODS OUTPUT to create an output data set from PROC SGPLOT, and process it to display drop lines.
The POSITION= option in the TEXT statement provides you with a way to position text in a variety of locations relative to a point. You can use this option to fine tune label placement in a plot primarily created by using the SCATTER statement and the DATALABEL= option.
I hope everyone has noticed some new shortcuts in Graphically Speaking. As you scroll down and look to the right, there are shortcuts for Sanjay's getting started and clinical graphs posts and one for my advanced blogs. When Sanjay asked me to make an icon for my advanced blogs, at