Encodings that map abstract data to visual representation.
See the codeScales map a dimension of abstract data to a visual representation. Although most often used for encoding data as position, say to map time and temperature to a horizontal and vertical position in a scatterplot, scales can represent virtually any visual encoding, such as color, stroke width, or symbol size. Scales can also be used with virtually any type of data, such as named categorical data or discrete data that requires sensible breaks.
1,165 followers · starred Jan 2018
267 followers · starred Mar 2019
47 followers · starred Dec 2015
66 followers · starred Aug 2024
Encodings that map abstract data to visual representation.
See the codeScales map a dimension of abstract data to a visual representation. Although most often used for encoding data as position, say to map time and temperature to a horizontal and vertical position in a scatterplot, scales can represent virtually any visual encoding, such as color, stroke width, or symbol size. Scales can also be used with virtually any type of data, such as named categorical data or discrete data that requires sensible breaks.
1,165 followers · starred Jan 2018
267 followers · starred Mar 2019
47 followers · starred Dec 2015
66 followers · starred Aug 2024