Geospatial data can come in several forms, for example locations of specific points, or polygons that define areas of interest. When both point and polygon data are present, it is often useful to identify the enclosing polygon for each point, so information from both tables can be merged
Tutorial demonstrating how to put machine learning into production, but also aimed at business users who want to learn how to set up a machine learning strategy in their businesses. Spotfire Platform and Spotfire Cloud versions of the template are available.
Two-dimensional binning with hexagonally-arranged bins of (x,y) inputs. Useful in Spotfire for simplifying an (x,y) scatter plot with a large number of points to produce a sampling density plot. Also if an optional 3rd value column is included, a Spotfire scatter plot visualization can be constructed for the mean value across cells.