What is a common use of a map visualization in data analysis?

Map visualizations are particularly useful in data analysis for displaying point and area data. This type of visualization allows analysts to represent geographic locations, such as cities or regions, and illustrate data associated with these locations effectively. By plotting data points on a map, users can quickly identify patterns, clusters, or distributions within the data that may not be as apparent in other types of visualizations.

For instance, when analyzing sales data by region, a map can provide insight into which areas are performing well and which are not, making it easier to spot geographical trends or outliers. Additionally, maps can also represent area data through choropleth mapping, where varying colors indicate different values or densities in defined geographic areas. This capability makes map visualizations an essential tool when location is a critical factor in data interpretation, as it combines spatial awareness with data analysis.