How to Make a Scatter Plot in Excel with Two Sets of Data: A Step-by-Step Guide

If you want to visualize the relationship between two sets of data, making a scatter plot in Excel is a straightforward and effective way to do it. Below, I will guide you step-by-step on how to create a scatter plot using Excel. By the end, you’ll be able to compare two variables easily and see trends or patterns in your data.

How to Make a Scatter Plot in Excel with Two Sets of Data

Creating a scatter plot in Excel allows you to see how two different sets of data relate to each other. Follow these steps, and you’ll have a scatter plot ready in no time.

Step 1: Open Excel

First, open Excel and either start a new spreadsheet or open an existing one that contains your data.

You need to have your data sets ready in two columns. For example, column A could be your independent variable (X-axis), and column B could be your dependent variable (Y-axis).

Step 2: Select Your Data

Next, click and drag to select the two columns of data you want to compare.

Make sure to include the column headers if you have them, as this will help Excel automatically label your axes.

Step 3: Go to the Insert Tab

Now, go to the top of your screen and click on the "Insert" tab.

In the Insert tab, you’ll find various chart options. Look for the scatter plot icon; it usually looks like a cluster of dots.

Step 4: Choose the Scatter Plot Option

Click on the scatter plot icon and choose the type of scatter plot you want to create.

You’ll see different styles such as scatter with straight lines, scatter with smooth lines, etc. For basic visualization, the simple scatter plot without lines is perfect.

Step 5: Customize Your Scatter Plot

After inserting the scatter plot, you can customize it by adding titles, changing colors, and adjusting the axes.

Click on different elements of your scatter plot to see the customization options available. These tweaks can make your data easier to understand.

After completing the above steps, you will have a scatter plot that visually represents the relationship between your two sets of data. This helps in quickly identifying patterns, trends, or outliers.

Tips for Making a Scatter Plot in Excel with Two Sets of Data

  • Clean Data: Ensure your data is clean and free of any errors or missing values for the most accurate scatter plot.
  • Labeling: Use descriptive labels for your columns to make your scatter plot more understandable.
  • Scale: Adjust the scale of your axes if the data points are too clustered or too spread out.
  • Trendline: Consider adding a trendline to your scatter plot to make trends more visible.
  • Colors: Use contrasting colors for different data sets if you’re comparing multiple variables.

Frequently Asked Questions

What if I have more than two sets of data?

You can still create a scatter plot, but it will be more complex. Consider using different colors or marker styles for each additional set.

How do I add a trendline?

Click on your scatter plot, then go to the Chart Tools section and select "Add Trendline." Choose the type of trendline that best fits your data.

Can I edit my scatter plot after creating it?

Yes, you can click on any element of the scatter plot to edit it. You can change colors, labels, and other formatting options.

Why is my scatter plot not showing all data points?

Check to ensure all your data is selected. Sometimes, blank cells or text entries can cause issues.

How do I save my scatter plot for presentation?

You can right-click the scatter plot and select "Save as Picture" to save it as an image file.


  1. Open Excel.
  2. Select your data.
  3. Go to the Insert tab.
  4. Choose the scatter plot option.
  5. Customize your scatter plot.


Creating a scatter plot in Excel is a fantastic way to visually examine the relationship between two sets of data. By following these steps, you can quickly generate a scatter plot that is both informative and easy to understand. Whether you’re a student trying to understand your science project data, a business professional analyzing sales trends, or just someone who loves data visualization, mastering the scatter plot is a valuable skill. So go ahead, open up Excel, and start plotting! For more guides and tips on making the most out of Excel, stay tuned or check out other tutorials. Happy plotting!

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