Working with skimr's printed output

Description

These functions provide two approaches for handling the wide format produced when you print skim_df. skim_to_wide() returns a wide data frame with one row per variable and NA for statistics not calculated for a given type. skim_to_list() creates a list of wide tibbles, one for each type of vector within your data frame.

Usage

skim_to_wide(x, ...)

skim_to_list(x, ...)

Arguments

Details

Note that in both cases, all columns are character vectors. This gives you additional control of the printed output, but not the original data.

Value

A wide data frame or a list of wide data frames.

Examples

# Treat the printed output as a wide data frame
skim_to_wide(iris)
iris %>% skim_to_wide()
iris %>%
  skim_to_wide() %>%
  dplyr::filter(type == "factor") %>% 
  dplyr::select(top_counts)

# Treat the printed output as a list of data frames
skim_to_list(iris)
iris %>% skim_to_list()

# Save the result
sl <- iris %>% skim_to_list() 
sl[["numeric"]]
kable(sl$numeric)

# Or grouped, this uses the magrittr exposition pipe
# see ?magrittr::`%$%`
library(magrittr)
iris %>%
  dplyr::group_by(Species) %>%
  skim_to_list() %$%
  kable(numeric)