, your search ends here. Whether you’re just starting your data visualization journey or you’re a seasoned spreadsheet user looking to expand your skills, this guide will help you create scatter plots for data analysis, from beginner to advanced.<\/span><\/p>\nScatter plots are valuable tools in the world of data visualization. Essentially, they allow you to uncover patterns, correlations, and outliers within your datasets.\u00a0<\/span><\/p>\nIn this blog post, we’ll show you what scatter plots are by exploring their advantages and delving into their essential features. <\/span><\/p>\nIn addition, we’ll walk you through the process of creating eye-catching scatter plots.<\/span><\/p>\n[\/et_pb_text][et_pb_text module_id=”what” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
What are scatter plots?<\/span><\/h2>\nIn data visualization, scatter plots stand out as powerful tools for representing the relationship between two variables. Also known as a scatter diagram, a scatter plot displays individual data points on a two-dimensional graph, with each point representing the values of two different variables. The positioning of these points provides a visual representation of how the variables interact with each other.<\/span><\/p>\nIn Google Sheets, creating a scatter plot is a straightforward process that brings your data to life. By utilizing the built-in chart tools, you can transform raw data into a visually compelling scatter plot. <\/span><\/p>\nThis dynamic representation allows you to discern patterns, trends, and correlations within your dataset. Whether you’re analyzing sales figures over time or exploring the correlation between marketing spend and customer acquisition, scatter plots offer a clear and intuitive way to grasp the relationships in your data.<\/span><\/p>\n[\/et_pb_text][et_pb_text module_id=”advantages” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
What are the advantages of using scatter plots?<\/span><\/h2>\nScatter plots offer a variety of advantages that make them a useful tool for data analysis and decision-making:<\/span><\/p>\nVisualizing relationships<\/b>: one of the primary strengths of scatter plots is their ability to visually depict the relationship between two variables. Whether the relationship is linear, nonlinear, positive or negative, a quick glance at a scatter plot can provide valuable insights.<\/span><\/p>\nIdentifying trends and patterns<\/b>: scatter plots are great at revealing trends and patterns within data. By examining the distribution of data points, you can quickly identify clusters, outliers, or trends.<\/span><\/p>\nCorrelation assessment<\/b>: scatter plots are invaluable for assessing the correlation between two variables. The clustering or dispersion of data points on the graph provides a visual indicator of the strength and direction of the relationship.<\/span><\/p>\nOutlier detection<\/b>: outliers, or data points that deviate significantly from the general pattern, can have a substantial impact on the interpretation of your data. Essentially, scatter plots make it easy to identify and analyze outliers, helping you understand their impact on your dataset.<\/span><\/p>\n[\/et_pb_text][et_pb_text module_id=”features” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Key features of scatter plots<\/span><\/h2>\nTo effectively leverage scatter plots in Google Sheets, it’s essential to understand their key features:<\/span><\/p>\nData Points: i<\/b>ndividual points on the graph represent specific values of the two variables you are comparing.<\/span><\/p>\nX and Y-Axis<\/b>: the x-axis (horizontal) and y-axis (vertical) represent the two variables being compared. Each axis provides a scale for measurement.<\/span><\/p>\nTrendline<\/b>: a trendline can be added to the scatter plot to help visualize the overall trend or relationship between the variables.<\/span><\/p>\nLabels and titles<\/b>: clear labels and titles are crucial for conveying the meaning of the scatter plot.\u00a0<\/span><\/p>\nColor and markers<\/b>: using different colors and markers for data points can enhance the visual clarity of the scatter plot. This makes it easier to differentiate between groups or categories.<\/span><\/p>\nGridlines<\/b>: by providing a reference for the viewer to understand the scale of the variables, gridlines on the graph help readers interpret values accurately.<\/span><\/p>\nBy harnessing these features, you can transform your scatter plot from a simple chart into a powerful tool for extracting meaningful insights from your data. In the next section, we will guide you through the step-by-step process of creating a scatter plot in Google Sheets.<\/span><\/p>\n[\/et_pb_text][et_pb_text module_id=”how” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
How to make a scatter plot in Google Sheets<\/span><\/h2>\nNow that you know the advantages of using scatter plots and their key features, let\u2019s learn how to make a scatter plot in Google Sheets.<\/span><\/p>\nIn this example, we\u2019ll use a spreadsheet that contains the CTR (Clickthrough Rate) and the CPA (Cost Per Acquisition) of a lead generation campaign. Before we create the scatter plot, let’s take a quick look at what CTR and CPA stand for.<\/span><\/p>\nIn marketing, Clickthrough Rate (CTR) is a metric that measures the percentage of people who click on a link compared to the number of people who have viewed the ad. If 100 people see an ad but only 2 click on it, the CTR is 2%.<\/span><\/p>\nIn contrast, Cost Per Acquisition (CPA) is a metric that measures the average amount of money spent to acquire a customer or lead through a specific marketing campaign.<\/span><\/p>\nTheoretically, the higher the CTR is, the lower the CPA tends to be.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-1.webp” alt=”How to make a scatter plot in Google Sheets 1″ title_text=”How to make a scatter plot in Google Sheets 1″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Let’s make a scatter plot to establish a correlation between the CTR and the CPA. Click <\/span>Insert<\/b> and select <\/span>Chart<\/b>.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-2.webp” alt=”How to make a scatter plot in Google Sheets 2″ title_text=”How to make a scatter plot in Google Sheets 2″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Under <\/span>Chart type<\/b>, select <\/span>Scatter chart<\/b>. Then add the X-axis (CTR) and the series (CPA).<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-3.webp” alt=”How to make a scatter plot in Google Sheets 3″ title_text=”How to make a scatter plot in Google Sheets 3″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Customize your chart<\/span><\/h3>\nAfter creating the scatter chart, we can customize it to our liking. First, I\u2019ll change the background color.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-4.webp” alt=”How to make a scatter plot in Google Sheets 4″ title_text=”How to make a scatter plot in Google Sheets 4″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Now I\u2019ll add a title, select a font and change the text color.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-5.webp” alt=”How to make a scatter plot in Google Sheets 5″ title_text=”How to make a scatter plot in Google Sheets 5″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
When I click on Series, I can edit the markers and customize the color.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-6.webp” alt=”How to make a scatter plot in Google Sheets 6″ title_text=”How to make a scatter plot in Google Sheets 6″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
By adding a trendline, you can help readers visualize the overall trend or relationship between the variables.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-7.webp” alt=”How to make a scatter plot in Google Sheets 7″ title_text=”How to make a scatter plot in Google Sheets 7″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
If you add gridlines and ticks, your audience will be able to read the data from the chart more easily.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-8.webp” alt=”How to make a scatter plot in Google Sheets 8″ title_text=”How to make a scatter plot in Google Sheets 8″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
As you can see, there’s correlation between the CTR and the CPA. A higher CTR usually indicates that the ad is attracting more clicks, which might lead to a higher conversion rate and consequently a lower CPA.\u00a0<\/span><\/p>\nBy creating a scatter plot, we can identify trends and outliers. When you look at the chart, it’s easy to find an outlier. One day, the CPA went through the roof and almost reached $9.50.<\/span><\/p>\n[\/et_pb_text][et_pb_image src=”https:\/\/static.sheetgo.com\/wp-content\/uploads\/2023\/10\/How-to-make-a-scatter-plot-in-Google-Sheets-9.webp” alt=”How to make a scatter plot in Google Sheets 9″ title_text=”How to make a scatter plot in Google Sheets 9″ align=”center” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text module_id=”conclusion” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n