When visualizing customer metrics, which tool provides insights into data distributions and outliers?

The best tool for visualizing customer metrics in a way that provides insights into data distributions and outliers is the scatter plot. Scatter plots are particularly valuable for showing the relationship between two quantitative variables, allowing you to see patterns, trends, and anomalies in the data.

In a scatter plot, each point represents an observation, and by examining the distribution of these points, you can quickly identify clusters, gaps, and outliers. This makes it easier to monitor how various customer metrics relate to one another at different levels and understand the underlying structure of your data.

Other visualization types such as column charts, heat maps, and pie charts serve different purposes. Column charts are useful for comparing categories, heat maps provide insights into the density of data points based on color gradients, and pie charts are effective for displaying relative proportions of a whole. However, none of these options effectively highlight distributions and outliers as clearly as scatter plots do. This makes scatter plots the ideal tool for the given task.