Parse a tibble and ensure it meets standards
Usage
column_info_table(
data,
maxlevels = 6,
col_id = NULL,
cols_to_plot,
tooltip_column_suffix = "_tooltip",
ignore_column_regex = "_ignore$",
palettes,
colours_default,
colours_default_logical,
verbose
)Arguments
- data
data.frame to autoplot (data.frame)
- maxlevels
for categorical variables, what is the maximum number of distinct values to allow (too many will make it hard to find a palette that suits). (number)
- col_id
name of column to use for
- cols_to_plot
names of columns in data that should be plotted. By default plots all valid columns (character)
- tooltip_column_suffix
the suffix added to a column name that indicates column should be used as a tooltip (string)
- ignore_column_regex
a regex string that, if matches a column name, will cause that column to be exclude from plotting (string) (default: "_ignore$")
- palettes
A list of named vectors. List names correspond to data column names (categorical only). Vector names to levels of columns. Vector values are colours, the vector names are used to map values in data to a colour.
- colours_default
default colours to use for variables. will be used to colour variables with no palette supplied.
- colours_default_logical
colours for binary variables (vector of 3 colors where elements represent colours of TRUE, FALSE, and NA respectively) (character)
- verbose
Numeric value indicating the verbosity level:
2: Highly verbose, all messages.
1: Key messages only.
0: Silent, no messages.