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Implementation:

Prototype: https://esridc.github.io/filterWidgetSandbox/autoStyle.html

Attribute symbolization is guided by database geometry type, field type, and various characteristics of the field data

  • Symbol type follows dataset geometry type:
  • Fields are classified in three ways:
    • type ("string", "date", or "numeric")
    • Number-like, using datasetFieldIsNumberLike()
    • Categorical or pseudo-categorical, using datasetFieldCategorical()
      • Categorical is defined as no more than 7 non-bad unique values, used for all features
      • Pseudo-categorical is defined as not categorical, and at least 80% of all features have one of no more than 7 non-bad unique values
  • Renderer follows field classification:
    • Categorical, Pseudo-categorical, and non-number-like numeric string fields are rendered using the uniqueValueRenderer in all cases
    • Numeric, date, and number-like string fields fields are rendered using a simpleRenderer, unless they are determined to be categorical
  • Feature colors are chosen based on combinations of a few factors:
    • Renderer type
      • uniqueValueRenderers use the "Mushroom Soup" ramp
      • simpleRanderers use a custom sequential ramp
    • Unique value count
      • If only a single non-bad value is present in the field, features with that field will get a color chosen from Mushroom Soup, using the hashed fieldName to index into the ramp. This reduces the odds that the user will see two consecutive single-value fields with identical symbolizations when browsing dataset attributes.
    • value badness – null values, empty strings, and all-whitespace values are given an "other" color
    • Basemap "theme" ("light" or "dark") as reported by getBackgroundColorTheme() (https://developers.arcgis.com/javascript/latest/api-reference/esri-views-support-colorUtils.html#getBackgroundColorTheme). Generally, light colors are shown on "dark" basemaps and vice versa – this is primarily used for "other" colors and filtered "excludedEffect" coloring.

More context is available at https://github.com/esridc/filterWidgetSandbox/blob/master/Styling.md