Encoding Values

The effective display of quantitative information involves two fundamental challenges

  1. Best medium (table/graph type).

  2. Designing graph to convey message.

Encoding Values in Graphs

Data graphics ~ verbal language

The rules of graphical communication are rarely arbitrary

Usually based on an understanding of visual perception:

  1. How we see,

  2. Visually encode information for easy and accurate decoding by audience.

Most Graphs Are …

Value-Encoding Objects

Points

Lines

Points & Lines

Bars

Bars

Bars need to start at zero

In this case, points are better

Relationships

Time series

Values change through time (e.g., $ per mo.)

Ranking

Values ordered by size (e.g., sales, population)

Part-to-Whole

Values represent parts/proportions of a whole (e.g., relative cover, regional sales)

Deviation

Values represent the difference between two sets of values (e.g., income vs outgoing)

Distribution

Counts of values per interval/bin (e.g., number of trees per size class)

Correlation

Comparison of two paired sets of values (e.g., height vs weight)

Geospatial

Values displayed on a map (e.g., population per city, species richness per site)

Nominal Comparison

Values are compared for unordered categories (e.g., regions, fruit type)


Graph Selection Matrix