View source: R/bind_hierarchy_data.R
bind_hierarchy_data | R Documentation |
Bind hierarchy data
bind_hierarchy_data(
.,
data = NULL,
nest_columns = NULL,
size_columns = NULL,
filter = NULL,
popup_metadata = NULL,
nest_columns_input_format = NULL,
nest_columns_output_format = NULL,
filter_input_format = NULL,
filter_output_format = NULL,
popup_metadata_input_format = NULL,
popup_metadata_output_format = NULL,
size_columns_input_format = NULL,
size_columns_output_format = NULL
)
. |
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. |
nest_columns |
Categories/nesting. Choose one or more categorical columns to nest by. The data is nested in the same order as the chosen columns (e.g. C, B is different from B, C). Suggested data type hints: string. Flourish type hint: columns |
size_columns |
Size by. Optionally choose one or more numeric columns to size by. If more than one is chosen, a dropdown will appear in the visualization which lets the user choose. Rows with negative values are excluded. Suggested data type hints: number. Flourish type hint: columns |
filter |
Filter. Optionally choose a categorical column to filter by. Suggested data type hints: string, number, datetime. Flourish type hint: column |
popup_metadata |
Info for popups. One or more columns of information (text, image URLs , embedded charts etc) to include in popups and panels Suggested data type hints: string, number, datetime. Flourish type hint: columns |
nest_columns_input_format |
Formats/parses dates, strings, and numbers for the nest_columns 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). |
nest_columns_output_format |
Formats/parses dates, strings, and numbers for the nest_columns 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). |
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). |
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). |
popup_metadata_input_format |
Formats/parses dates, strings, and numbers for the popup_metadata 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). |
popup_metadata_output_format |
Formats/parses dates, strings, and numbers for the popup_metadata 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). |
size_columns_input_format |
Formats/parses dates, strings, and numbers for the size_columns 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). |
size_columns_output_format |
Formats/parses dates, strings, and numbers for the size_columns 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). |
A Flourish chart
try(
flourish(chart_type = "treemap", api_key = Sys.getenv("FLOURISH_API_KEY")) |>
bind_hierarchy_data(gapminder)
)
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