Scatter Charts show the relationship between two variables with data points displayed as dots on the chart. They are used identify whether or not there are patterns, trends, or correlations between variables.
When to Use a Scatter Chart
- To visually analyze the relationship between two continuous variables
- To show correlation and clustering in big datasets
- Identifying outliers: Easily spot data points that deviate significantly from the overall trend
- If the order of points in the dataset is not essential.
When to Avoid Using a Scatter Chart
- If you have a small dataset
- If the values in your dataset are not correlated
- If you want to show the relationship between three variables use a Bubble Chart instead.
Example Use Cases for Scatter Charts
- Tracking product performance: Visualize sales figures against price points to see how price changes impact demand and optimize pricing strategies.
- Identifying correlations between variables: Analyze relationships between advertising spend and sales, customer satisfaction and churn rate, or employee engagement and productivity.
Set-up Instructions
Below are the chart settings used to create the example shown above.
1. Select the fields to include in your chart:
2. Under the "Format" tab, select the fields to include on the X and Y axes:
3. Under the "Customize" tab you can enter a title for the chart and edit the labels of your axes (not applicable in this example):
4. If you want to change the colors of your chart, you can do so by navigating to the chart view, then clicking on the View Menu and selecting "Change Colors":
Related articles:
Charts Overview
Bubble Charts
Line Charts
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