{"id":18375,"date":"2025-07-23T08:49:41","date_gmt":"2025-07-23T03:49:41","guid":{"rendered":"https:\/\/chartexpo.com\/blog\/?p=18375"},"modified":"2026-02-13T15:28:18","modified_gmt":"2026-02-13T10:28:18","slug":"box-plot-outliers","status":"publish","type":"post","link":"https:\/\/chartexpo.com\/blog\/box-plot-outliers","title":{"rendered":"How to Identify Box Plot Outliers? Easy Steps"},"content":{"rendered":"

A Box Plot is the visualization design we recommend if your goal is to display quartiles, mean, and outlier<\/strong> attributes in data.<\/p>\n

So, what is an outlier?<\/em><\/p>\n

An outlier<\/strong> is a value that lies at the extremes of a data series and thus can affect the overall observation. Outliers are also termed as extremes<\/strong> because they lie on either end of the data.<\/p>\n

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A Box Plot Outliers detector is easy to interpret, even for non-technical audiences.<\/p>\n

Excel lacks Box Plot Charts. And this means you’ve got to use other pricey tools or plot the chart manually. So, if your goal is to display high-level insights, you’ve got to think beyond Excel.<\/p>\n

We’re not recommending you do away with Excel, especially if your goal is to access ready-made and visually appealing chat.<\/p>\n

Download and install a particular add-in (which we’ll mention later) into your Excel to access the ready-to-go Outliers Box Plot detector.<\/p>\n

In this blog, you’ll learn:<\/p>\n

Table of Content:<\/h3>\n
    \n
  1. Introduction<\/a><\/li>\n
  2. What are Box Plot Outliers?<\/a><\/li>\n
  3. Video Tutorial:<\/a><\/li>\n
  4. Types of Outliers in Box Plots<\/a><\/li>\n
  5. What is the 1.5 IQR Rule?<\/a><\/li>\n
  6. How are Outliers Determined in Box Plots?<\/a>\n