Bind line chart race data
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
)A Flourish chart
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.
Captions data.
Label. The name of each entrant. Suggested data type hints: string. Flourish type hint: column
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
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
Image. Add an image URL or right-click on a cell to upload an image. Suggested data type hints: string. Flourish type hint: column
Filter. Hide/show entrants based on the values in this column. Suggested data type hints: string, number, datetime. Flourish type hint: column
Stage to show. Must match the column headers in the main datasheet. Suggested data type hints: string. Flourish type hint: column
Stage to hide. Must match the column headers in the main datasheet. Suggested data type hints: string. Flourish type hint: column
Text. Text or HTML to show. Suggested data type hints: string. Flourish type hint: column
Image. Image to show. Suggested data type hints: string. Flourish type hint: column
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
try(
flourish(chart_type = "horserace", api_key = Sys.getenv("FLOURISH_API_KEY")) |>
bind_horserace_data(gapminder)
)
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