Graphically Speaking
Data Visualization with a focus on SAS ODS Graphics
Amazing things can be created when you start with small pieces and stack them together. Just ask Bryan Berg. He is the current world record holder for the tallest house of cards. This same principle can be applied to the SGPLOT and SGPANEL procedures. You can take the individual plot
The SGPLOT procedure supports a wide variety of plot types that you can use directly or combine together to create more complex graphs. Even with this flexibility, there might be times you run across a graph that you cannot create using one of the standard plot types. An "area" bar
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
A scatter plot is my go-to graph! It's what I often start with to get a feel for the data ... and I often end up using just a scatter plot. But some scatter plots are better than others ... In this blog post, I create a scatter plot of
Canada is a geographically large country, but I've heard that much of the population lives in the small southernmost sections (near the US border). I decided to use my mapping skills, and put that to the test. Follow along, and we'll see what that looks like on a map ...
With the 2020 Census numbers starting to come out, it's interesting to look at what states are gaining (or losing) people. In this example, I create a custom map similar to the ones the US Census Bureau likes to use, and plot the 10-year change in population. But before we