When creating bar charts, it is very common to display labels with the bars to make it easier to determine the bar values or to provide additional information in the chart. However, these labels can take away valuable data space, particularly if you generate a smaller-sized graph. As you see
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 bar charts ... And to give you a hint about what data I'll be using this time, here's a picture from a SAS
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
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
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
During the 2020 Coronavirus pandemic, you've probably formed a great appreciation for good, informative graphics. Good graphics can help you get a handle on thousands of individual data values, see the geographical distribution, or look for trends. In February, I wrote a blog post about creating a coronavirus dashboard with
The flu season has started here in the U.S., and according to the Centers for Disease Control and Prevention (CDC) data it has caused 214 deaths in the first week of 2020. Is this number higher, or lower, than usual? When does the flu season start, and how long does
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,
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.
Did you recently lock in a mortgage rate of 3.5-5%, or perhaps even lower? How do today's rates compare to rates in the past? Let's dig a little deeper into this topic, with some graphs! But before we get started, here's a picture to get you into the mood for
