Often when the data includes some extreme difference in measures or some outliers, the plot of the data points can get skewed due to the need to accommodate the extreme outliers. The bulk of the observations get squeezed into a smaller region of the plot. While this may be useful
Search Results: broken axis (11)
In my previous post I described the new Polygon plot statement that is included with the SAS 9.4M1 release. So, a valid question is - what is my motivation for discussing the new features in SAS 9.4M1 when most users are at SAS 9.3 or SAS 9.2 versions? Here are a
In the previous post on Broken Y-Axis, I reviewed different ways to display data as a Bar Chart, where the response values for some categories are many orders of magnitude larger than the other values. These tall bars force the display of other values to be squeezed down thus making it harder to compare
Often we want to display data as a bar chart where a few observations have large values compared to the rest. Comparison between the smaller values becomes hard as the small bars are squeezed by the tall bars. Here is an example data, and a bar chart showing the data. The large values
This post provides a general macro that enables you to easily display special characters (Unicode) in axis table columns.
Often, we have data where most of the observations are clustered within a narrow range, with a few outliers positioned far away. When all the data is plotted, the axis is scaled to accommodate all the data, thus skewing the scale. Techniques to handle such data have been addressed earlier
This post shows a variety of techniques including how to use PROC TEMPLATE and the SOURCE statement, PROC SGPLOT with multiple Y-axis tables, create comparable axes in two side-by-side graphs, create a broken axis, write and use a table template that wraps text, and find and display examples of certain statements in graph templates and fonts in style templates.
I have written several blog posts about longevity, and here is another one related to that topic. Cardiovascular disease (cvd) is one of the more common causes of death, and I was wondering how those numbers have changed over time. Are fewer people dying from cvd, or are more people
Have you ever been curious about your monthly water consumption and how it compares to others in your community? Recently, I had this question and decided to get ahold of my family's water usage data for analysis. Harnessing the power of data visualization, I compared my family of four's monthly
The 25th annual SESUG conference was held at in the SAS campus this week. I had the opportunity to meet and chat with many users and attend many excellent presentations. I will write about those that stood out (graphically) in my view. One excellent presentation was on "Methods for creating