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Visualizing Relationships with Scatter Plots Part of a Series of Tutorials on using Google Sheets Last updated: October 12, 2017, These materials are based upon work supported by the National Science
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Choose the data you want to represent in your scatter plot.
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Determine the range and scale of your x and y axes.
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Assign one variable to the x-axis and another variable to the y-axis.
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Plot each pair of data points on the graph using dots or markers.
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Label the axes and provide a title for the scatter plot.
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Analyze the plot to determine any patterns, trends, or correlations among the data points.

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- Market researchers who need to identify correlations between different factors.
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- Engineers and designers who want to analyze data for quality control or process improvement.
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- Economists who study the relationship between economic variables.
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- Social scientists who investigate relationships between social behaviors and outcomes.
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- Environmental scientists who analyze the impact of variables on ecosystems.
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- Educators who teach data analysis and statistics.
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Scatter plots are a type of data visualization that show the relationship between two variables.
Individuals or organizations who want to visually represent the relationship between two variables.
You can fill out scatter plots by plotting data points on a graph with one variable on the x-axis and the other variable on the y-axis.
The purpose of scatter plots is to visually display the relationship between two variables and identify any patterns or trends.
The data points for each variable and the relationship between them must be reported on scatter plots.
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