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The hexbin maps in Plotly differ from each other based on the data being plotted and how it is being represented. Some of the variations in the plots are:

1. Color scheme: The hexbin map can be customized with different color schemes to represent different values or categories.

2. Size of hexagons: The size of the hexagons can be adjusted to show more or less detail in the data.

3. Aggregation method: The hexbin plot aggregates the data points into hexagons, and the aggregation method can differ based on how the data is to be represented. For example, the plot can show density, count, or average values in each hexagon.

4. Use of overlays: The plot can be overlaid with other types of charts, such as scatterplots or heatmaps, to show more information about the data.

5. Data points: The plot can show the actual data points, or only the hexagons themselves, depending on how much detail is required.

In summary, the hexbin maps in Plotly can differ in terms of the colors used, hexagon size, aggregation method, use of overlays, and display of data points.