Box plots are one of the least-often used visualizations in Spotfire, in my experience. This is a shame, as they are incredibly powerful! Box plots allow you to see the shape of the data at a glance. Chapter 8, The World is Your Visualization, also covers box plots in more detail, but I want to introduce them here first and discuss where and why you might use them:
- Good for visualizing: Distributions of data, particularly for visualizing differences in the distributions among different populations or cohorts of data. They are particularly useful for visualizing patient healthcare information; for example, charting blood pressure or QTc interval (indicating interruption of the heart's rhythm) during the course of a clinical trial.
- Don't use for: Randomly distributed data; you'll just get a mess, just like the scatter plot.
- Pros: The ability to visualize...