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  • 🚀PredictEasy
  • Getting Started
  • ☁️Installation
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    • Label Encoding
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  • 📊Statistical Test
    • T-Test
    • ANOVA Test
    • Spearman’s Rank Correlation
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    • Chi-Squared Test
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    • Friedman Test
  • 📶Data Modelling
    • Classification
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    • Clustering
  • 🔡NLP
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  • 📈Visualization Charts
    • Line graph
    • Bar Chart
    • Scatter Chart
    • Area Chart
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  1. Visualization Charts

Scatter Chart

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Last updated 1 year ago

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A scatter plot is a type of chart that displays individual data points on a two-dimensional graph. Each point represents the values of two variables, allowing for the observation of patterns, correlations, or outliers.

Example:

Imagine a scatter plot depicting the relationship between the temperature and ice cream sales at an ice cream stand over a year. Each point on the scatter plot represents a specific day, with the x-axis representing the temperature on that day and the y-axis representing the corresponding ice cream sales. The scatter plot allows for the observation of whether higher temperatures correlate with increased ice cream sales.

Steps:

  • Highlight the range of cells containing your data in Google Sheets. Similar to Excel, for X-axis values, select cells in column A (e.g., A1:A30), and for Y-axis values, select cells in column C (e.g., C1:C30).

  • Click on Plot to create a Scatter Chart.

  • You can customize your chart using options in the Chart Editor. For example, you can title your chart, adjust the axis labels, and more.

Output:

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