Hexbin charts solve the overplotting problem in large scatter datasets by grouping nearby points into hexagonal bins and encoding the count as color intensity or bin size. Hexagons tessellate perfectly and are more visually appealing than squares, making them the preferred choice for 2D density visualization of large continuous datasets.
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