4 solutions to common problems when making location data maps

The text discusses four common problems encountered when visualizing location data on maps, along with solutions using CARTO Builder and CARTO VL. When dealing with coincident points, two methods can be used: aggregating the points to create centroids or using symbology to spread out markers. Aggregation is also effective for handling non-coincident overlapping points, allowing users to visualize the volume of data across an area. Styling maps with too many categories can be achieved by grouping data into larger categories, such as school regions, and using choropleth maps or functions like top values. Finally, CARTO VL offers features to style maps according to zoom levels, including conditional code blocks, thematic map types, and seamless interpolation between styles.

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