Spark lines, made popular by Edward Tufte, provide a way to visualize trends in a concise space, often inline with the rest of the narrative or data. Previously, I posted an article on Spark Plots in which I created different plot types, some of which included multiple graphs and data in each row. For such
Statistical graphs often include display of derived statistics along with the raw data. Often these statistics are presented in a tabular format inside the graph. With SGPLOT procedure, a table of statistics can be added to the graph as an inset table, as shown below. Using a Stat Table: SGPLOT code:
CTSPedia.org is a website of Knowledge Base for Clinical and Translational Research. On this site you can find sample graphs for statistical analysis of safety data for Clinical Research. Graphs included in this resource have been submitted by contributors, and include a graph for Liver Function for different tests by treatment.
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
This post is a result of an intriguing question posed by a user on the SAS communities' page. How to create a bar chart where the category is a combination of two variables var_1 and var_2 (each with values of '+' and '-'), and get a X axis that shows each
At the 2012 SAS Global Forum, one of the questions from a user was about showing the original data used for the box plot. While you can use outliers in conjunction with the box features to get a feel for the data, for some situations you may need to see exactly
When viewing time series data, often we only want to see the trend in the data over time and we are not so concerned about the actual data values. With multiple time series plots, forecasting software can find clusters to help us view series with similar trends. Recently I saw a graph showing the trend of unemployment
