What does a scatterplot typically represent?

A scatterplot is a type of data visualization that effectively illustrates the relationship between two quantitative variables. Each point on the scatterplot corresponds to an observation in the dataset, with one variable represented on the x-axis and the other on the y-axis. By plotting the individual data points, a scatterplot allows viewers to observe the correlation or potential patterns that may exist between the variables, such as positive, negative, or no correlation.

This visualization is particularly useful in identifying trends, clusters, or outliers, making it a powerful tool in exploratory data analysis. In contrast, other choices do not accurately capture the primary function of a scatterplot: while individual data points are represented, summarizing statistical data or classifying geographic data is not the focus of this type of graph.