Dot Plots in Google Sheets: A Guide

Published: December 16, 2023 - 3 min read

Hannah Recker

Creating a dot plot in Google Sheets is an essential skill for data analysts, especially in the realm of business operations.

Dot plots offer a straightforward method to display and analyze univariate data frequencies, making them invaluable for B2B SaaS companies.

While Google Sheets doesn’t have a built-in dot plot feature, you can easily create one using the Scatter Chart option.

Let’s explore how to create a dot plot in Google Sheets.

Creating a Dot Plot in Google Sheets

When analyzing data in business operations, it’s often helpful to visualize trends and patterns over time. Let’s say we’re examining the frequency of sales each quarter.

Transforming Data into Long Format

To effectively create a dot plot in Google Sheets, the data must be structured in a way that reflects the frequency of occurrences within a given period.

In our example, we’re breaking down quarterly sales into a format that represents each individual sale as a separate data point.

Table showing the frequency of sales for each quarter in Google Sheets, with each row representing an individual sale, formatted for dot plot visualization.


Marker Selection

Now that the data is organized, we need to choose the appropriate marker for our dot plot.

In Google Sheets, we can use a scatter chart to create a dot plot by customizing the chart type and marker settings. To do this, follow these steps:

Highlight the data range.

Highlighted quarterly sales frequency data in Google Sheets ready for dot plot chart creation.

Click the Insert tab, then click Chart.

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Screenshot showing the selection of the 'Chart' option under the Insert tab in Google Sheets, initiating the creation of a dot plot.

From the Chart Type dropdown, choose Scatter Chart.

Dropdown menu in Google Sheets with Scatter Chart selected, transforming the sales data into a visual dot plot format.

Advanced Tips for Dot Plots

In this section, we will explore advanced tips for creating dot plots in Google Sheets, covering topics such as data filtering, customization options, and troubleshooting techniques.

Customization Options

A well-customized dot plot can improve data visualization and make it more meaningful to the audience. Google Sheets offers various customization options that can fine-tune the appearance of your chart. Some of these options include:

  • Axis properties: Adjust the minimum and maximum values, and the tick intervals for the x and y axes.
  • Data labels: Display the labels above the data points to make them more informative.
  • Color and style: Customizing the color, size, and shape of the data points can help differentiate categories or emphasize specific data points.

To access these customization options, after creating a scatter chart for your dot plot data, click the chart, select the “three dots” in the upper right corner, and choose Edit Chart.

From the Chart Editor, you can adjust various properties under the tab “Customize”.

Customized dot plot showcasing monthly sales data.


Sometimes, the dot plot created in Google Sheets may not appear as expected, or the data points might not be properly displayed. In such cases, you can try the following troubleshooting techniques:

  1. Check the data format: Ensure that the data is in the required format (long format) and there are no missing values, errors, or unnecessary empty cells.
  2. Verify the chart type: As Google Sheets might insert a histogram by default, make sure to choose the scatter chart from the Chart Editor to create a dot plot.
  3. Adjust axis properties: If the data points are clustered together or not well distributed, you can modify the axis properties by changing the minimum, maximum, or interval values as mentioned in the “Customization Options” subsection above.


By following these advanced tips, it is possible to create effective and insightful dot plots in Google Sheets that can help visualize and analyze your data more efficiently.

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Hannah Recker Growth Marketer
Hannah Recker was a data-driven growth marketer before partying in the data became a thing. In her 12 years experience, she's become fascinated with the way data enablement amongst teams can truly make or break a business. This fascination drove her to taking a deep dive into the data industry over the past 4 years in her work at StreamSets and Coefficient.
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