How can one visualize geospatial data in Oracle Analytics?

Visualizing geospatial data in Oracle Analytics is primarily achieved through map visualizations that represent data geographically. This approach allows users to interpret and analyze complex datasets by plotting data points on maps, which can reveal spatial patterns and relationships that would be difficult to see using traditional tables or text-based formats. Map visualizations are particularly effective for showcasing data that is inherently tied to geographic locations, such as sales by region, demographic information, or any data that benefits from a spatial perspective.

The other methods mentioned, such as spreadsheets and tables, text-based reports, and traditional charts like bar graphs and line graphs, do not provide the same depth of insight for geospatial data. They lack the ability to represent geographic relationships visually, which can be crucial for analysis in various fields, including urban planning, marketing, and logistics. Thus, map visualizations are the most effective option for working with geospatial data in Oracle Analytics, making this choice the best fit for the question posed.