Instead, it is an outlier, which is represented by a single dot. For instance, what if the data set above had another number in the range like 287? That’s so far out of the normal set of data that it wouldn’t make sense to let it serve as the maximum. Things get a little more complicated when you start to consider outliers or data points that are not representative of the data set. The median of the upper half or third quartile The median of the lower half or first quartile We’ll illustrate how a minimum, Q 1, the median, Q 3, and the maximum are derived from them. That forms the “whiskers” of the plot.Ĭonsider the numbers above as a very simple data set. That forms the “box.” The maximum of the data set is the upper range while the minimum of the data set is the lower range. These are simply the median of the upper half of the data and the median of the lower half of the data. Then, the upper and lower quartiles are determined. That is where the box turns from grey to light grey. You start by determining the median of the data set. Each quartile has a specific numeric value, determined from the data set. The whiskers represent the distances between the lowest value to the first quartile and the fourth quartile to the highest value. The box represents the values between the first and third quartile (also known as the interquartile range=Q 3 – Q 1). Before we can delve into an example of how it is used within Tableau Software, we have to explain the logic behind this type of view.
#BOX AND WHISKER PLOT LOWER QUARTILE SERIES#
Since there are so many cool features to cover in Tableau, the series will include several different posts.Ĭompared to the other chart types, the box-and-whisker plot (also known as the box plot) is a bit more complicated. The series is intended to be an easy-to-read reference on the basics of using Tableau Software, particularly Tableau Desktop. To help Tableau rookies, we’re starting from square one with the Tableau Essentials blog series. Not everyone is a Tableau guru, at least not yet.
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