How to Make a Box and Whisker Plot in Google Sheets: A Step-by-Step Guide

Making a box and whisker plot in Google Sheets is a straightforward process that involves inputting your data, selecting the right chart type, and customizing the plot to display the desired information. This quick guide will walk you through the steps to create a box and whisker plot, also known as a box plot, which is a graphical representation of statistical data based on the minimum, first quartile, median, third quartile, and maximum values.

Step by Step Tutorial: Creating a Box and Whisker Plot in Google Sheets

Before diving into the steps, it’s important to know that a box and whisker plot is a great way to visualize data distributions and identify outliers. By the end of this tutorial, you’ll have a beautiful box plot ready to analyze.

Step 1: Input your data into Google Sheets

Start by entering your dataset into a Google Sheet.

Having your data organized in a column will make it easier to select and create the box plot. Ensure that there are no blank cells or non-numeric data in the range you want to include in your plot.

Step 2: Highlight your data

Click and drag to highlight the dataset you want to include in the box plot.

Selecting the correct data range is crucial as it determines what information will be displayed in the box plot. If you have labels or headers, make sure to include them so they appear in the chart.

Step 3: Go to the ‘Insert’ menu and choose ‘Chart’

Navigate to the ‘Insert’ menu at the top of the screen and select ‘Chart’ from the dropdown options.

Google Sheets will automatically suggest a chart type based on your data. However, we’ll need to change it to a box plot in the following steps.

Step 4: In the ‘Chart editor,’ select ‘Box plot’

In the ‘Chart editor’ panel that appears on the right side of the screen, click on the ‘Chart type’ dropdown and scroll down to select ‘Box plot.’

The box plot option is under the ‘Other’ category within the chart types. If you can’t find it, make sure your Google Sheets is up to date.

Step 5: Customize your box plot

Use the ‘Chart editor’ to customize the appearance of your box plot, including colors, axis titles, and gridlines.

Personalizing your chart can help emphasize the data you want to highlight and make it easier for others to understand your box plot.

After completing these steps, you’ll have a fully functional box and whisker plot that visually represents the distribution of your dataset.

Tips for Making a Box and Whisker Plot in Google Sheets

  • Ensure your data is clean and organized before creating the plot.
  • If your dataset has outliers, consider whether or not to include them in your plot.
  • Customize the chart to make it easier to read and understand.
  • Use labels and titles to clarify what the data represents.
  • Experiment with different colors and styles to find the best visual representation for your data.

Frequently Asked Questions

What is a box and whisker plot?

A box and whisker plot is a graphical representation of data distribution, showing the median, quartiles, and outliers.

Can I create a box and whisker plot with multiple datasets?

Yes, you can compare multiple datasets by creating side-by-side box plots.

How do I interpret a box and whisker plot?

The box represents the interquartile range, the line inside the box is the median, and the whiskers extend to the minimum and maximum values.

Can I customize the appearance of my box plot in Google Sheets?

Absolutely, you can change colors, add titles, and adjust gridlines to make your plot more informative and visually appealing.

What should I do if my plot shows outliers?

Outliers can be significant, indicating unusual data points. Consider investigating further to understand why they are different.


  1. Input your data into Google Sheets.
  2. Highlight your dataset.
  3. Insert a chart from the ‘Insert’ menu.
  4. Change the chart type to ‘Box plot.’
  5. Customize your box plot as needed.


Creating a box and whisker plot in Google Sheets can seem daunting at first, but with this guide, you’ll find it’s quite a simple process. By following the steps outlined, you’ll be able to visualize data distributions, spot outliers, and present your findings in a clear, professional manner. As with any skill, practice makes perfect, so don’t be afraid to play around with different datasets and customization options to create the perfect plot for your needs. Remember, a well-made box plot can be a powerful tool in data analysis and presentation, helping you to communicate complex statistical information with ease. So go ahead, give it a try, and watch your data come to life in a whole new way.

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