I think it's time to replace my 2008 Prius. It has served me well, been basically maintenance-free, and gotten good gas mileage ... so, why not just get a newer Prius? Well, I've got the itch to get back into an SUV for my daily driver (I had a Bronco
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
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.
This post shows ways to display the upper or lower triangle of a correlation matrix. You can also use colors to show the magnitude of the correlations.
We'll take a deeper dive into understanding item stores--the files in which compiled templates are stored--and ways in which you can access them. At the end, I will show you one of my new examples: displaying percentages in the Kaplan-Meier failure plot.
You can use SG Annotation (and its GTL equivalent) to display one graph inside another.
You can use a range attribute map to control the mapping of values in a continuous variable to colors. This post shows you how to use PROC SGPLOT to display multiple plots in the same graph and use range attribute maps.
This post shows you how to make a bar chart and an X-axis table; ensure consistency in the order of the legend, bar subgroups, and axis table rows; coordinate the colors for each of those components; and drive all the color choices from an attribute map.
Often I have written articles that are motivated by some question by a user on how to create a particular graph, or how to work around some shortcoming in the feature set to create the graph you need. This time, I got a question about Clinical Graphs that were mostly working
There are many ways to use a heat map. For big data sets, heat maps provide a substitute for scatter plots. Heat maps can also be used to enhance small tables. Several of my colleagues (Sanjay Matange, Pratik Phadke, Rick Wicklin, Chris Hemedinger, and probably others) have posted about using
