Long category values occur frequently in real world use cases.  This can happen with graphs for analysis of clinical research data, and also for graphs showing survey data where the question asked may be long (even a paragraph).  Managing such long categories on the x or y axis is always

A few days ago, I posted an article on displaying first N bars from a data set.  This is useful when the data is sorted by descending response, and only the first few values are significant.  There were a few interesting comments, including one that was regarding the treatment of

Often we have  a graph with many bars (or categories) on the x or y axis.  These categories may be sorted by descending response such as frequency of a % value.  An example with simulated data is shown below. title 'Actual Values by Name'; proc sgplot data=bars2 noborder; vbar name /

Recently, while reading up on Wilkinson and Cleveland Dot plots, I saw this excellent article by Xan Gregg on the topic.  I also saw some interesting examples of Lollipop Charts, kind of a dot plot with statistics along with a drop line, maybe more suitable for sparse data.  I thought