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How to Create a Scatter Plot with Lines in Google Sheets: Step-by-Step Guide

Last Updated : 29 Aug, 2024
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Google Sheets is a powerful tool for data analysis and visualization, providing various features to help you understand your data better. One of these features is the ability to create scatter plots, which can visualize the relationship between two data sets. Sometimes, you may want to add a line of best fit or a trendline to make the data patterns clearer.

In this article, you are going to learn about how to create a scatter plot in Google Sheets and add a line for a deeper data analysis.

How to Create a Scatter Plot with Lines in Google Sheets

How to Create a Scatter Plot in Google Sheets

Follow these steps to create a scatter plot in Google Sheets quickly and easily.

Step 1: Insert your Data

Before you can create a scatter plot with a line in Google Sheets, you need to have your data ready. Make sure you have two columns of data in your spreadsheet, one for the x-axis (independent variable) and one for the y-axis (dependent variable).

In our example, we'll use a Salary dataset of x and y values.

Create a Scatter Plot with Lines in Google Sheets
Overview of the dataset

Step 2: Create a Scatter Plot

Select Your Data: Highlight the data you want to include in your scatter plot. In our case, select both columns (X for 'Years of Experience' and Y for 'Salary').

Create a Scatter Plot with Lines in Google Sheets
Create a Scatter Plot

Step 3: Go to the Insert Tab and Select Chart

Click on the "Insert" menu at the top of Google Sheets and Choose the Chart from the displayed drop-down menu.

Create a Scatter Plot with Lines in Google Sheets
Click on Insert> Chart

Step 4: Select Scatter Chart

Select the option of Scatter Chart from those.

Create a Scatter Plot with Lines in Google Sheets
Select Scatter Chart

Step 5: Preview the Scatter Plot

Your scatter plot will now be displayed in your Google Sheets document.

Create a Scatter Plot with Lines in Google Sheets
Preview the Scatter Chart

How to Add a Trendline to a Scatter Chart in Google Sheet

Adding a trendline can help you understand the direction or pattern in your data. Here’s how to do it:

Step 1: Click on the Scatter Plot and Open the Chart Editor

Select the Scatter Plot by Clicking on it and then Customize Your Chart. In the Chart Editor panel on the right, click on the "Customize" tab then click "Series".

Create a Scatter Plot with Lines in Google Sheets
Click on Scatter Plot> Customize > Choose Series

Step 2: Select the Trendline Type and Customize it

Scroll down until you see the "Trendline" section. Check the box next to "Trendline." Select the type of trendline you want to add. Options include Linear, Exponential, Polynomial, or Moving Average. Further customize your trendline by adjusting options like line color, opacity, and label.

Create a Scatter Plot with Lines in Google Sheets
Select the Trendline Type

Step 3: Preview Your Scatter Plot with a Trendline

With the trendline added to your scatter plot, you can now analyze the relationship between your data points more effectively. The trendline provides a visual representation of the general direction or pattern in your data. For example, a linear trendline can show if the Salary is higher with higher Years of Experience.

Create a Scatter Plot with Lines in Google Sheets
Preview your Chart with Trendline

How to Edit Scatter Plots in Google Sheets

If you need to make changes to your scatter plot, follow these steps:

Step 1: Select the Scatter Plot and Open the Chart Editor

Click on the scatter plot you want to edit, then right-click and select Edit chart. The Chart Editor will appear on the right side of your Google Sheets document.

 Create a Scatter Plot with Lines in Google Sheets
Select the Scatter Plot, Click on Edit

Step 2: Customize Your Chart Elements

Under the Customize tab, use the drop-down menu to edit different chart elements such as axes, series, or titles. Adjust the appearance, style, and content as needed.

 Create a Scatter Plot with Lines in Google Sheets
Open the Chart Editor

Step 3: Preview Changes and Save

As you make edits, your scatter plot will update in real-time. Once you are satisfied with the changes, click Close to save your edits..

Create a Scatter Plot with Lines in Google Sheets
Customize Chart Elements

Step 3: Adjust Chart Elements

After selecting a chart element, you can make adjustments to its appearance, style, and content in the Chart editor. For example, you can change axis labels, modify the trendline, or adjust data series properties.

Create a Scatter Plot with Lines in Google Sheets

Step 4: Preview Changes and Save Your Edits

As you make edits, your scatter plot will update in real time. Preview how your changes affect the chart's appearance and functionality. Once you're satisfied with your edits, click the Close icon on the Right side of the Chart editor to save your changes to the scatter plot.

Create a Scatter Plot with Lines in Google Sheets

How to Remove Scatter Plots in Google Sheets

If you no longer need a scatter plot, you can easily remove it:

Step 1: Select the Scatter Plot

To remove a scatter plot, start by clicking on the scatter plot you want to delete within your Google Sheets document. Ensure the chart is selected.

Step 2: Delete the Scatter Plot

Under the "Edit Chart" section click on the "Delete Chart" option to delete the selected scatter plot from your document.

Create a Scatter Plot with Lines in Google Sheets

Step 3: Scatter Plot Removed

After confirming the deletion, the scatter plot will be removed from your Google Sheets document, leaving the rest of your data intact. Following these steps, you can easily edit and remove scatter plots in Google Sheets, allowing you to fine-tune your visualizations and manage your charts effectively.

Conclusion

Knowing how to create and customize scatter plots with lines in Google Sheets is a valuable skill for anyone involved in data analysis. Adding lines, such as trendlines or regression lines, turns a simple scatter plot into a powerful tool for identifying trends and making informed decisions. Whether you're analyzing academic data or business metrics, mastering these features will help you better understand and present your data.


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