, Scatter Plot Chart | Charts | ChartExpo
Scatter Plot Chart

Simplify Data, Reveal
Correlations.

Data can often seem chaotic and challenging, but it doesn’t have
to be. ChartExpo’s Scatter Plot Chart makes it simple to map data
points, uncovering correlations, trends, and hidden insights you
may have otherwise missed.

Create Scatter Plot Chart in
Google Sheets
Create Scatter Plot in
Microsoft Excel

Free 7-day trial (no purchase necessary). Pricing starts at $10 per month.

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scattor plot example

Key Insights
Search volume shows almost no correlation with CPC for both short-tail and long-tail keywords (R² ≈ 0.01).

scattor plot example

Key Insights
High-impact, low-effort tasks like optimizing SEO strategy and designing a product prototype are top priorities.

scattor plot example

Key Insights
Most points fall in high-value high-effort (green), while low-value low-effort (blue) is also notable.

scattor plot example

Key Insights
Garments lead in orders, while cosmetics and TVs drive high sales with fewer orders.

scattor plot example

Key Insights
High-value buyers are recent, medium-value buyers are frequent, and low-value buyers are scattered.

scattor plot example

Key Insights
Blue and green cluster at low effort, orange shows high impact, and red skews high effort.

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How to create a Scatter Plot Chart

Scatter Plot Chart Excel: How-to

Here's how-to create a Scatter Plot Chart in Excel:

  1. Install the Add-in: Install the ChartExpo add-in for Excel from the Microsoft AppSource store; It supports creating Scatter plot charts in a simple, no-code way.
  2. Prepare your Data: For a scatter plot chart Google Sheets setup, your data should include two to three numeric columns (metrics for X, Y, and optionally size). You can also add up to two categorical columns to distinguish groups or categories within your chart.
  3. Load ChartExpo: In Excel, click the Add-ins icon, then select ChartExpo to start building your Scatter plot chart visualization.
  4. Select Scatter Plot Chart: From the available charts in ChartExpo, choose the Scatter Plot Chart option to display relationships and correlations between variables.
  5. Select the Data: Highlight the data cells in Excel, including headers, so ChartExpo maps categories and values correctly into the Scatter plot chart format.
  6. Create the Scatter Plot Chart: Click Create Chart From Selection to generate the scatter plot. The chart will display data points on a coordinate plane, showing relationships, correlations, and patterns between variables.
  7. Customize: Adjust colors, cumulative line styling, labels, and other settings to match your presentation or report needs. Add titles or annotations if required.
  8. Export: Export the Scatter plot chart in formats like PNG, PDF, or SVG for reports, presentations, or dashboards.

Scatter Plot Chart Google Sheets: How-to

Here's how-to create a Scatter Plot Chart in Google Sheets:

  1. Install the Add-on: Install the ChartExpo add-on for Google Sheets from the Google Workspace Marketspace store. This is the first step in How to create a scatter plot chart in Google Sheets
  2. Prepare your Data: For a scatter plot chart Google Sheets setup, your data should include two to three numeric columns (metrics for X, Y, and optionally size). You can also add up to two categorical columns to distinguish groups or categories within your chart.
  3. Access Extensions: Select and launch ChartExpo from the “Extensions” menu.
  4. Select Scatter Plot Chart: Select the Scatter Plot Chart from the list of available charts.
  5. Map your Data Fields: In the sidebar dialog, select the columns containing your data.
  6. Create the Scatter Plot Chart: Click “Create Chart” button and generate an insightful Scatter Plot Chart.
  7. Customize: Customize the chart with colors, header, stats, and design options.
  8. Export: Export your Scatter Plot Chart in multiple formats (PNG, PDF, SVG, etc.) for presentations and reports across your scatter plot sheets projects.
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What Is a Scatter Plot?

A scatter plot (also called a scatter diagram,
scatter chart, or XY graph) maps data points on
a coordinate plane to study relationships
between two variables. Each axis represents
one variable, and plotting the data helps reveal
how they interact.

This chart is especially useful for spotting
correlations - positive, negative, or none - along
with shifts, trends, and outliers. By visualizing
many points at once, a scatter plot makes
complex data easier to interpret and understand.

  • Scatter Plot (also called scatter diagram,
    scatter chart, or XY graph) maps data points
    on a coordinate plane.
  • Each axis represents a variable, making it
    easy to study relationships.
  • Positive correlation → both values rise.
  • Negative correlation → one rises, the other
    falls.
  • No correlation → random scatter.
  • Ideal for spotting trends, outliers, and hidden
    patterns in data.

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How to Make a Scatter Plot?

Creating a scatter plot is quick and effortless
with ChartExpo’s scatter plot maker. It works
seamlessly in Excel, Google Sheets, and other
platforms, eliminating the need for coding or
complex scripts. With just a few steps, you can
map your data and instantly visualize results.

ChartExpo simplifies the process: select your
chart type, choose your data, and click Create
Chart. The tool is fast, accurate, and user-
friendly, making it easy to spot correlations,
trends, and outliers in your data.

Key Benefits:

  • No coding or scripts required
  • Works in Excel and Google Sheets
  • Faster insights with simple 3-step process

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What Is a Scatter Plot Used for?

Scatter plots are often used to test whether two
variables are related. By plotting data points on
an XY plane, you can quickly identify patterns
and validate hypotheses. For example,
comparing weather conditions with employee
productivity can reveal useful insights.

The types of correlations commonly shown are:

  • Positive correlation: both variables increase
    together
  • Negative correlation: one variable rises while
    the other falls
  • No correlation: points are scattered randomly
    without a clear trend
Adding more variables to a scatter plot can
provide deeper layers of analysis.

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How to Read Scatter Plot Diagrams

Interpreting a scatter plot helps you uncover
correlations, patterns, and insights that drive
smarter decisions. With ChartExpo, the process
becomes easier, faster, and more effective.

Step 1: Identify if a Correlation Exists

  • Look for patterns in the position of points.
  • A clear trend means correlation, while
    scattered points indicate none.
  • Use a line of best fit if the relationship isn’t
    obvious.

Step 2: Positive or Negative Correlation

  • Positive correlation: both variables increase
    together.
  • Negative correlation: one variable rises while
    the other falls.
  • Remember: a negative correlation isn’t always
    bad (e.g., fewer cart abandonments when
    more payment options are added).

Step 3: Measure Strength & Type

  • Strong correlation: points cluster tightly near
    the line.
  • Weak correlation: points are more scattered.
  • Linear: data follows a straight path.
  • Nonlinear: data curves, showing tipping points
    (e.g., drug dosage effects).

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Benefits/Advantages of Scatter
Plot Analysis

Raw data can be confusing and overwhelming.
Visual analysis speeds up understanding and
improves recall. In fact, the brain processes
visuals far quicker than numbers.

Benefits of visualizing data:

  • Understand patterns instantly
  • Gain a clearer overall picture
  • Retain insights longer
  • Respond faster to changing data

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