encode_y: Encode y "channel"

In vegalite: Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec'

Description

Vega-Lite has many "encoding channels". Each channel definition object must describe the data field encoded by the channel and its data type, or a constant value directly mapped to the mark properties. In addition, it can describe the mapped field’s transformation and properties for its scale and guide.

Usage

encode_y(vl, field, type = "auto", aggregate = NULL, sort = NULL)

Arguments

vl	Vega-Lite object created by vegalite
field	single element character vector naming the column
type	the encoded field’s type of measurement. This can be either a full type name (quantitative, temporal, ordinal, and nominal) or an initial character of the type name (Q, T, O, N). This property is case insensitive. If auto is used, the type will be guessed (so you may want to actually specify it if you want consistency).
aggregate	perform aggregaton on field. See Supported Aggregation Options for more info on valid operations. Leave NULL for no aggregation.
sort	either one of ascending, descending or (for ordinal scales) the result of a call to sort_def

Note

right now, type == "auto" just assume "quantitative". It will eventually get smarter, but you are better off specifying it.

Examples

dat <- jsonlite::fromJSON('[
    {"a": "A","b": 28}, {"a": "B","b": 55}, {"a": "C","b": 43},
    {"a": "D","b": 91}, {"a": "E","b": 81}, {"a": "F","b": 53},
    {"a": "G","b": 19}, {"a": "H","b": 87}, {"a": "I","b": 52}
  ]')

vegalite() %>%
  add_data(dat) %>%
  encode_x("a", "ordinal") %>%
  encode_y("b", "quantitative") %>%
  mark_bar()

Example output

vegalite documentation built on May 2, 2019, 10:46 a.m.