scales_brookings: Color scales in the Brookings style
In BrookingsInstitution/ggbrookings: Grammar of Graphics in Brookings Style

scales_brookings

R Documentation

Color scales in the Brookings style

Description

Color scales in the Brookings style

Usage

scale_color_brookings(
  palette = "brand1",
  discrete = TRUE,
  reverse = FALSE,
  ...
)

scale_fill_brookings(palette = "brand1", discrete = TRUE, reverse = FALSE, ...)

Arguments

`palette`	Character name of brookings_palettes
`discrete`	Boolean indicating whether color aesthetic is discrete or not
`reverse`	Boolean indicating whether the palette should be reversed
`...`	Additional arguments passed to discrete_scale() or scale_color_gradientn(), used respectively when discrete is TRUE or FALSE.

Palettes

Analogous: Different shades of the same hue, or of similar hues can be used when the associated values are related.
Contrasting: Colors on the opposite ends of the spectrum. Use Brookings Blue with Secondary colors.
Semantic: Where applicable, use colors that are associated with certain concepts. For e.g., semantic1, semantic2, and semantic3 could show subsets of gender data (female, male and other).
Positive & Negative: Shows pros, cons and neutral, or positive, negative and neutral data.
Political: Use red and blue of similar intensity to represent data related to political parties in the US. Yellow in political3 and political4 represents ‘Independent’ category
Categorical: Use categorical palettes to distinguish discrete categories of data that do not have an inherent ordering.
Sequential: Sequential palettes can be used to show an inherent order or variations in numeric values.
Diverging: Diverging palettes are useful when dealing with negative and positive values or a range of values that have two extremes with a baseline central value, like zero. The Brookings diverging palette should uses two distinct hues of similar brightness and saturation with a neutral color in the middle. Using a discrete set of colors with evenly distributed gradation can improve clarity of values relative to a continuous palette.
Misc: A pleasing option using Brookings Blue and accent yellow.