bind_bar_chart_race_data: Bind bar chart race data

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

Bind bar chart race data

Description

Bind bar chart race data

Usage

bind_bar_chart_race_data(
  .,
  data = NULL,
  captions_data = NULL,
  label = NULL,
  values = NULL,
  category = NULL,
  image = NULL,
  captions_from = NULL,
  captions_to = NULL,
  captions_text = NULL,
  captions_image = NULL,
  captions_image_input_format = NULL,
  captions_image_output_format = NULL,
  captions_text_input_format = NULL,
  captions_text_output_format = NULL,
  captions_to_input_format = NULL,
  captions_to_output_format = NULL,
  captions_from_input_format = NULL,
  captions_from_output_format = NULL,
  category_input_format = NULL,
  category_output_format = NULL,
  image_input_format = NULL,
  image_output_format = NULL,
  label_input_format = NULL,
  label_output_format = NULL,
  values_input_format = NULL,
  values_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).
data	Data.
captions_data	Captions data.
label	Label. A column containing the names of the bars, e.g. countries or people. Suggested data type hints: string. Flourish type hint: column
values	Values. Multiple columns of numbers, each column representing a point in time Suggested data type hints: number. Flourish type hint: columns
category	Categories. Optional category column to color the bars Make sure the Color mode setting is set to By Category in the Bar colors settings panel. Suggested data type hints: string. Flourish type hint: column
image	Image. Optional column with URLs of images. Suggested data type hints: string. Flourish type hint: column
captions_from	Time to show. Must match the column headers in the main data sheet. Suggested data type hints: string, datetime. Flourish type hint: column
captions_to	Time to hide. Must match the column headers in the main data sheet. Suggested data type hints: string, datetime. 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. Add an image URL or right-click on a cell to upload an image. 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_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).
captions_to_input_format	Formats/parses dates, strings, and numbers for the to column. If string: any arbritrary string. 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).
captions_to_output_format	Formats/parses dates, strings, and numbers for the to column. If string: any arbritrary string. 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).
captions_from_input_format	Formats/parses dates, strings, and numbers for the from column. If string: any arbritrary string. 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).
captions_from_output_format	Formats/parses dates, strings, and numbers for the from column. If string: any arbritrary string. 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).
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).
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).
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).
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).
label_input_format	Formats/parses dates, strings, and numbers for the label 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).
label_output_format	Formats/parses dates, strings, and numbers for the label 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).
values_input_format	Formats/parses dates, strings, and numbers for the values 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).
values_output_format	Formats/parses dates, strings, and numbers for the values 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 = "bar_race", api_key = Sys.getenv("FLOURISH_API_KEY")) |> 
  bind_bar_chart_race_data(gapminder)
)

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