I recently wrote about a simple statistical formula that approximates the wind chill temperature, which is the cumulative effect of air temperature and wind on the human body. The formula uses two independent variables (air temperature and wind speed) to predict the wind chill temperature. This article describes how to
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bubble maps - specifically, plotting earthquake data as bubbles on a map. R bubble map, created using geom_polygon() and geom_point() SAS bubble
This is another in my series of blogs where I take a deep dive into converting customized R graphs into SAS graphs. Today I show how to combine several graphs with shared axes, which we'll call paneled graphs. This time I'll be plotting the Job Openings Rate by Industry, similar
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
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
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
A SAS customer asked a great question: "I have parameter estimates for a logistic regression model that I computed by using multiple imputations. How do I use these parameter estimates to score new observations and to visualize the model? PROC LOGISTIC can do the computation I want, but how do
To help visualize regression models, SAS provides the EFFECTPLOT statement in several regression procedures and in PROC PLM, which is a general-purpose procedure for post-fitting analysis of linear models. When scoring and visualizing a model, it is important to use reasonable combinations of the explanatory variables for the visualization. When
A user commented on one of my previous maps ... "How can there be 820 cases of Coronavirus per 100,000 people? - There aren't even 100,000 people in my county!" Well, when you want to compare something like the number of COVID-19 cases between two areas that have differing populations,
Now that we are many months into the COVID-19 pandemic, I've started going back and reexamining the data for lessons or trends (you might say hindsight is 20/20). This time, I want to explore how COVID-19 has been spreading around the US. I do this by using a graphical idea
When you get something new, the hope is that it will be better than the old thing it's replacing. As I often do, I asked my Facebook friends to provide a random picture for my blog - in this case, a picture of one of their new/recent purchases. My friend
Learn how to use the SGPLOT procedure for graphical representation when you perform statistical analysis for a quadratic ANCOVA model with the GLM procedure.
In a previous article, I discussed the binormal model for a binary classification problem. This model assumes a set of scores that are normally distributed for each population, and the mean of the scores for the Negative population is less than the mean of scores for the Positive population. I
The purpose of this article is to show how to use SAS to create a graph that illustrates a basic idea in a binary classification analysis, such as discriminant analysis and logistic regression. The graph, shown at right, shows two populations. Subjects in the "negative" population do not have some
If someone proposes a bet to you, then you should be suspicious that they already know they're going to win. And one frequent topic of such bets is the weather... What if I bet you there's a city in Canada with a warmer average January temperature than Raleigh, NC? You
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,
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
In a scatter plot that displays many points, it can be important to visualize the density of the points. Scatter plots (indeed, all plots that show individual markers) can suffer from overplotting, which means that the graph does not indicate how many observations are at a specific (x, y) location.
A few examples to demonstrate some of the common output-related problems with ODS Graphics Procedures. If your graphical output does not appear as you wanted, consider the options that you are using and make sure that you are using the correct option.
Heat maps have many uses. You can use a heat map to visualize correlation matrices, to visualize longitudinal data ("lasagna plots"), and to visualize counts in any two-dimensional table. As of SAS 9.4m3, you can create heat maps in SAS by using the HEATMAP and HEATMAPPARM statements in PROC SGPLOT.
In these modern times, my utility bill has a bar chart so I can see how my current consumption compares to my historical usage. I decided to create my own version of this utility bill bar chart, and make a few improvements along the way. If you're into SGplot bar
For my third 'Rosetta Graph' example, I will focus on a simple pie chart. Hopefully this example will show you how to convert your SAS/Graph Proc Gchart pies into almost-identical Proc SGpie pies. And speaking of almost-identical pies, here are two beautiful pies my friend Beth made - which one
You've probably heard of the famous Rosetta Stone. It had the same decree written on it in both ancient Egyptian and Greek, and was an essential key to help modern historians decipher and translate the ancient Egyptian hieroglyphs. To help the 'old timers' (like me) shift from using SAS/Graph to
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.
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
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
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
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
The SAS 9.4M6 software includes a new SGPIE procedure (preproduction) as introduced in the recent article - The SGPIE Procedure. In that article, I described the basic features of the two statements supported in the procedure, the PIE and the DONUT, with some examples. It is my humble opinion that
When a graph includes several markers or line styles, it is often useful to create a legend that explains the relationship between the data and the symbols, color, and line styles in the graph. The SGPLOT procedure does a good job of automatically creating and placing a legend for most
