Compact and Flexible Summaries of Data
Deprecated functions from skimr v1
Fix unicode histograms on Windows
Only show a subset of summary statistics after skimming
View default skimmer names and functions
Retrieve the summary functions for a specific data type
Provide a default printing method for knitr.
Mutate a skim_df
Separate a big skim_df into smaller data frames, by type.
Print skim objects
Skimr printing within Jupyter notebooks
Create a skimr function list
Set or add the summary functions for a particular type of data
Functions for accessing skim_df attributes
Test if an object is compatible with skimr
Skim a data frame, getting useful summary statistics
skimr: Compact and Flexible Summaries of Data
Functions for working with the vctrs package
Summary statistic functions
Summary function for skim_df
Create "long" skim output
A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
Useful links