Variation and Uncertainty - Communicating Data with Tableau - page 116

Chapter 7. Variation and Uncertainty
“There is nothing so uncertain as a sure thing.”
—Scotty Bowman
It's easy to get cocky when armed with a little bit of data. We get a sense of knowing
something about the world, and it increases our confidence in what we have to say. That can
be a good thing. But the world is a noisy, chaotic, ever-changing place. If the data set we're
working with is noisy, or if the inferences we're making are dubious at best, we'll need to
proceed with caution.
The core principle to employ when communicating data is to be honest about what we know
and what we don't know, and to represent reality to the best of our ability. If there is a high
degree of variation in the data, or if we're only working with a limited sample, we should
make that clear to our audience. Doing otherwise would be misleading.
In this chapter, we'll consider two humbling and unavoidable aspects of communicating
data: variation and uncertainty. By variation , we mean the degree to which individual obser-
vations differ from others in a group. By uncertainty , we mean the lack of confidence in in-
ferences about a population based on data collected from samples.
Respecting Variation
In Chapter 6 , we considered measures of central tendency, like mean and median. In so do-
ing, we touched on some basic measures of variation, such as standard deviation and the in-
terquartile range, concepts visualized once again in Figure 7-1 .