Felt has expanded its capabilities to support the upload of various types of tabular data with geographic entities, such as zip codes, place names, and street addresses, automatically geocoding them into vector polygons or points for map visualization. This enhancement allows users to style data with visualizations based on numeric column statistics and to merge datasets into layered maps for more complex storytelling. Felt's geomatching feature simplifies the process of transforming data without lat/lon geometries by automatically recognizing and converting addresses, place names, and popular location codes like ZIP, FIPS, and ISO-3166 into maps, utilizing resources like Geocode Earth and the Natural Earth dataset. This development streamlines the creation of data-driven maps by eliminating the need for time-consuming geocoding and data joins, making it easier for users to visualize and share complex datasets.