bind_horserace_data: Bind line chart race data

In flourishcharts: 'Flourish' for 'R' and 'Python'

Bind line chart race data

Description

Bind line chart race data

Usage

bind_horserace_data(
  .,
  horserace_data = NULL,
  captions_data = NULL,
  horserace_name = NULL,
  horserace_stages = NULL,
  horserace_category = NULL,
  horserace_pic = NULL,
  horserace_filter = NULL,
  captions_from = NULL,
  captions_to = NULL,
  captions_text = NULL,
  captions_image = NULL,
  captions_image_input_format = NULL,
  captions_image_output_format = NULL,
  captions_to_input_format = NULL,
  captions_to_output_format = NULL,
  captions_from_input_format = NULL,
  captions_from_output_format = NULL,
  captions_text_input_format = NULL,
  captions_text_output_format = NULL,
  horserace_category_input_format = NULL,
  horserace_category_output_format = NULL,
  horserace_filter_input_format = NULL,
  horserace_filter_output_format = NULL,
  horserace_pic_input_format = NULL,
  horserace_pic_output_format = NULL,
  horserace_name_input_format = NULL,
  horserace_name_output_format = NULL,
  horserace_stages_input_format = NULL,
  horserace_stages_output_format = NULL
)

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).
horserace_data	Horserace data.
captions_data	Captions data.
horserace_name	Label. The name of each entrant. Suggested data type hints: string. Flourish type hint: column
horserace_stages	Values. Raw scores, which will be automatically converted to ranks. Column names will be used to populate the X axis of the chart. Suggested data type hints: number. Flourish type hint: columns
horserace_category	Color by. Select a column to color the lines by. If omitted, colors will be assigned per name. Suggested data type hints: string. Flourish type hint: column
horserace_pic	Image. Add an image URL or right-click on a cell to upload an image. Suggested data type hints: string. Flourish type hint: column
horserace_filter	Filter. Hide/show entrants based on the values in this column. Suggested data type hints: string, number, datetime. Flourish type hint: column
captions_from	Stage to show. Must match the column headers in the main datasheet. Suggested data type hints: string. Flourish type hint: column
captions_to	Stage to hide. Must match the column headers in the main datasheet. Suggested data type hints: string. Flourish type hint: column
captions_text	Text. Text or HTML to show. Suggested data type hints: string. Flourish type hint: column
captions_image	Image. Image to show. Suggested data type hints: string. Flourish type hint: column
captions_image_input_format	Formats/parses dates, strings, and numbers for the image 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).
captions_image_output_format	Formats/parses dates, strings, and numbers for the image 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).
captions_to_input_format	Formats/parses dates, strings, and numbers for the to 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).
captions_to_output_format	Formats/parses dates, strings, and numbers for the to 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).
captions_from_input_format	Formats/parses dates, strings, and numbers for the from 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).
captions_from_output_format	Formats/parses dates, strings, and numbers for the from 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).
captions_text_input_format	Formats/parses dates, strings, and numbers for the text 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).
captions_text_output_format	Formats/parses dates, strings, and numbers for the text 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).
horserace_category_input_format	Formats/parses dates, strings, and numbers for the category 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).
horserace_category_output_format	Formats/parses dates, strings, and numbers for the category 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).
horserace_filter_input_format	Formats/parses dates, strings, and numbers for the filter column. If string: any arbritrary string. If number: 'comma_point', 'space_point', 'point_comma', 'space_comma', 'none_point', 'none_comma'. If date-time: A date-time format such as "%Y-%m-%dT%H:%M:%S.%LZ", "%d/%m/%Y", "%d %b", "%-I%p", "Q%q %Y", "%Y Q%q", and so on. All available formats noted in Flourish documentation: https://developers.flourish.studio/api/create-visualisation/.. 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).
horserace_filter_output_format	Formats/parses dates, strings, and numbers for the filter column. If string: any arbritrary string. If number: 'comma_point', 'space_point', 'point_comma', 'space_comma', 'none_point', 'none_comma'. If date-time: A date-time format such as "%Y-%m-%dT%H:%M:%S.%LZ", "%d/%m/%Y", "%d %b", "%-I%p", "Q%q %Y", "%Y Q%q", and so on. All available formats noted in Flourish documentation: https://developers.flourish.studio/api/create-visualisation/.. 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).
horserace_pic_input_format	Formats/parses dates, strings, and numbers for the pic 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).
horserace_pic_output_format	Formats/parses dates, strings, and numbers for the pic 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).
horserace_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).
horserace_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).
horserace_stages_input_format	Formats/parses dates, strings, and numbers for the stages 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).
horserace_stages_output_format	Formats/parses dates, strings, and numbers for the stages 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

A Flourish chart

Examples

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

flourishcharts documentation built on Oct. 30, 2024, 9:07 a.m.