How is a scatter plot used in Tableau?

A scatter plot is specifically designed to visualize the correlation between two variables by plotting data points on a Cartesian coordinate system. Each axis represents one of the variables, allowing for the identification of relationships, trends, or patterns between them. When data points cluster in a particular direction, it indicates a potential positive or negative correlation, while a random distribution might suggest no correlation.

This makes scatter plots particularly useful in data analysis when you want to investigate how changes in one variable might affect another. For example, you might use a scatter plot to explore the relationship between advertising spend and sales revenue, which helps in making informed decisions based on the visualized data.

The other options describe different functionalities of Tableau but do not align with the primary purpose of a scatter plot. Linear progression pertains to line charts, categorical data visualization is better suited for bar and pie charts, while aggregating large datasets often involves summary tables or calculated fields rather than scatter plots.