bind_gauge_data: Bind gauge data

Description

Bind gauge data

Usage

bind_gauge_data(
  .,
  data = NULL,
  name = NULL,
  value = NULL,
  name_input_format = NULL,
  name_output_format = NULL,
  value_input_format = NULL,
  value_output_format = NULL
)

Value

A Flourish chart

Arguments

.: The prior Flourish object. No need to specify name if piping graph as the graph will take the first argument (i.e. the prior existing graph).
data: Data.
name: Name
value: Value. One or more columns of numbers. Flourish type hint: columns
name_input_format: Formats/parses dates, strings, and numbers for the name column. If string: any arbritrary string. Note: column metadata is optional, and the API will interpret your data for you if you do not specify it. A typical example of when specifying metadata can be useful is when column(s) in your data contain numbers or dates that you wish to format visually (e.g. to display a column containing MM/DD/YYYY dates in DD/MM/YYYY format).
name_output_format: Formats/parses dates, strings, and numbers for the name column. If string: any arbritrary string. Note: column metadata is optional, and the API will interpret your data for you if you do not specify it. A typical example of when specifying metadata can be useful is when column(s) in your data contain numbers or dates that you wish to format visually (e.g. to display a column containing MM/DD/YYYY dates in DD/MM/YYYY format).
value_input_format: Formats/parses dates, strings, and numbers for the value column. If number: 'comma_point', 'space_point', 'point_comma', 'space_comma', 'none_point', 'none_comma'. Note: column metadata is optional, and the API will interpret your data for you if you do not specify it. A typical example of when specifying metadata can be useful is when column(s) in your data contain numbers or dates that you wish to format visually (e.g. to display a column containing MM/DD/YYYY dates in DD/MM/YYYY format).
value_output_format: Formats/parses dates, strings, and numbers for the value column. If number: 'comma_point', 'space_point', 'point_comma', 'space_comma', 'none_point', 'none_comma'. Note: column metadata is optional, and the API will interpret your data for you if you do not specify it. A typical example of when specifying metadata can be useful is when column(s) in your data contain numbers or dates that you wish to format visually (e.g. to display a column containing MM/DD/YYYY dates in DD/MM/YYYY format).

Examples

Run this code

try(
  flourish(chart_type = "gauge", api_key = Sys.getenv("FLOURISH_API_KEY")) |> 
  bind_gauge_data(gapminder)
)

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