Diverging scales are used when a user needs to visualize the deviation of data values in one of two directions relative to a neutral midpoint – e.g. when a dataset contains +/- numbers. Typically, these are shown with obvious different colors for the +/- numbers. A diverging scale renders on a map as two sequential color scales attached at a common midpoint.
In order for users to utilize a diverging scale and midpoint, they must select a numerical column for coloring by value and a linear classification method
There are two diverging color palette scales available - diverging 1, diverging 2
Bucket values and colors will adjust based on the number of data classes selected
Example Linear Midpoint
Below is an example of how a midpoint would be classified.
- Data points go from 0 - 100
- Midpoint is set to 20
- -60 min value 100 max
- Divide into a defined number of containers