vis_cols: Visualize all columns
In lorenzwalthert/simplificar: A high-level API for ggplot2

Visualize all columns

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vis_cols(data, ..., transformer = vis_1d_distr, sub_dir = NULL,
  called_for_side_effects = NULL, k_dimensional = NULL,
  return_vis = FALSE)

`data`	The data to use for plotting.
`...`	Variables to select. You can use tidy selectors such as `starts_with(...)`, see `tidyselect::select_helpers()` for details.
`transformer`	A transformation function that defines the concrete visualization.
`sub_dir`	The name of the sub-directory under ./simplificar used to save the data under, if you select a transformer with side effects. If set to `NULL` (the default), the name of the argument `data` is taken.
`called_for_side_effects`	Whether or not the function is called for it's side effects. If `NULL` (the default), this is inferred from `transformer`. If `transformer` ends with "file", it is assumed that the function is called only for its side effects and no output to the console is returned.
`k_dimensional`	The number of dimensions of the plot. If `NULL` (the default), then it is inferred from `transformer` in the following way. This works if the transformer is named after the convention `[something]_[nd]_[something]` whereas `[something]` may not contain an underscore and `n` is the number of dimensions. An example of a transformer meeting this requirement is `vis_1d_distr()`.
`return_vis`	Whether or not the plot should, in addition to being written to a file, be the return value of the function call.

# one aesthetic
vis_cols(mtcars, 2) %>%
  flatten_gg()
vis_cols(mtcars, contains("c"), "vs",
  transformer = vis_distr, k_dimensional = 2
) %>%
 merge_vis()
# all combinations of multiple aesthetics
mtcars %>%
  transform_cols("vs", "as.factor") %>%
  vis_cols(vs, hp, cyl, transformer = vis_2d_point) %>%
  dplyr::slice(1) %>%
  flatten_gg()

dummy_types %>%
  vis_cols(num1, fct1, int1, transformer = vis_2d_distr) %>%
  merge_vis()