Create a heat map by zip code or region to determine the highest density areas. Using current sales data, a sales team can determine the highest sales density locations. A user may pull this data into a heat map to establish market saturation or opportunities available based on geographic location.īusinesses can combine various metrics within the spreadsheet with a geographic heat map to evaluate specific locations. A map with varying density will show deeper colors for high density and translucent shades for minimal density.Ī geographic heat map helps the user identify trends in data that would be difficult to see otherwise. Alternatively, places that hold minimal density (under the threshold determined) will appear in lower density colors or not at all.įor heat maps with a single color, the opacity will vary depending on the data uploaded to the map. When the density of data increases within an area, a heat map will display a color indicating higher density. The aggregation of this data formulates with location and the radius of influence, which is manually adjusted depending on the user’s preference. It presents as color-coded circles on the map, depending on set parameters. A heat map represents the density of specific data within an area of a map.
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