When comparing results by category and group, putting the items to be compared close together usually leads to a graph that is easier to decode. Take the case of the data (simulated) shown below. Here we have population by age group and sex. To compare the population by sex, it is
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:
