How can the box chart template be used to identify outliers in a dataset?

The box chart template can be used to identify outliers in a dataset by utilizing the concept of whiskers and interquartile range. The box represents the interquartile range (Q3 - Q1), which is the range of the central 50% of the data. The whiskers extend from the box to the smallest and largest data values within a calculated range. Any data point that lies beyond these whiskers is typically considered an outlier, meaning they are unusual or do not fit the general trend of the rest of the data.

Question was asked on:

The span between these hinges (Q3 - Q1) is known as the Interquartile range, which, as explained, represents the range of the central 50% of the data. There are two lines extending out from the box, the 'whiskers'. These whiskers stretch to the smallest and largest data values within a calculated range. Any data point beyond these whiskers is typically considered as outlier, meaning they are unusual. If you're familiar with a histogram, imagine if each box with its whiskers represents a single distribution. Each bar is a histogram with only four buckets representing 25%, 50%, 75%, and 100%. Our box chart template also has a filter to segment data by any category in the dataset.

Asked on the following spreadsheet:

Ultimate Charts (Part 5)

Use ten dynamic and customizable charts. They are grouped into four main categories: Progress, Timeline, Distribution, and Statistical charts. Each on...

file_save

Download free weekly spreadsheets