"Create Scatter Plots from Pivot Tables: A Step-by-Step Guide"

Joan Jul 01, 2026

Creating a scatter plot from a pivot table can help you visualize and analyze your data more effectively. By plotting your data points on a two-dimensional plane, you can identify patterns, trends, and correlations that might otherwise go unnoticed. Here's a step-by-step guide on how to create a scatter plot from a pivot table using Microsoft Excel.

How to Make a Polygon Scatter Plot in Tableau
How to Make a Polygon Scatter Plot in Tableau

Before we begin, ensure that your pivot table is set up correctly with the appropriate data fields. For a scatter plot, you'll typically need two numerical fields (e.g., sales amounts and quantities) and optionally, a categorical field (e.g., product categories) for color-coding or shaping the data points.

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3 Steps to Master Scatter Plots in the Classroom

Preparing Your Pivot Table

To create a scatter plot, your pivot table should have the following structure:

how to make a scatter plot from pivot table
how to make a scatter plot from pivot table
  • Rows: The categorical data you want to compare (e.g., product categories, regions, or time periods).
  • Columns: The numerical data you want to plot on the x-axis (e.g., quantities sold).
  • Values: The numerical data you want to plot on the y-axis (e.g., sales amounts).

For example, your pivot table might look like this:

How to Create a Scatter Plot in Excel with 3 Variables (with Easy Steps)
How to Create a Scatter Plot in Excel with 3 Variables (with Easy Steps)
Category Quantity Sold Sales Amount
Electronics 100 $5,000
Clothing 200 $8,000
Books 50 $3,000

Selecting the Data for Your Scatter Plot

To create a scatter plot, you'll first need to select the data from your pivot table. Make sure to include the headers in your selection.

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some yellow paper with writing on it and the words scatter plots interactive notebooks

To do this, click and drag your mouse over the data range, starting from the top-left corner (the header) and extending down to the bottom-right corner (the last data point). This will select the entire range of data, including the headers.

Creating the Scatter Plot

Once you've selected the data, follow these steps to create your scatter plot:

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3.3 - Making Predictions in Scatter Plots | Interpolate | Extrapolate
  1. Click on the Insert tab in the Excel ribbon.
  2. In the Charts group, click on the Scatter icon (it looks like a dot with a line connecting it to another dot).
  3. Choose the type of scatter plot you want to create. For most cases, the Scatter with Smooth Lines and Markers option will work well.

Excel will create a scatter plot using the selected data. The categories from your pivot table will be plotted on the x-axis, and the values will be plotted on the y-axis.

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Customizing Your Scatter Plot

After creating your scatter plot, you can customize it to better suit your needs. Here are some customization options to consider:

Adding a Title

To add a title to your scatter plot, click on the chart to select it, then click on the Chart Design tab in the Excel ribbon. In the Add Chart Element group, click on Chart Title and enter your desired title.

Changing the Chart Type

If you're not satisfied with the default scatter plot type, you can change it to one of the other scatter plot options. To do this, click on the chart to select it, then click on the Chart Design tab in the Excel ribbon. In the Type group, click on the Scatter icon and choose a different scatter plot type.

Adding Data Labels

To add data labels to your scatter plot, click on the chart to select it, then click on the Chart Design tab in the Excel ribbon. In the Add Chart Element group, click on Data Labels. This will add labels to each data point, displaying the corresponding values from your pivot table.

Creating a scatter plot from a pivot table can help you gain valuable insights from your data. By following these steps and customizing your chart to suit your needs, you can create engaging and informative visualizations that will help you make data-driven decisions.

Now that you've created your scatter plot, consider exploring other chart types and visualizations to further analyze your data. Happy data visualizing!