Introduction
This vignette simply displays the default data types and summary functions for skimr. Customizing skimr is explained in the Using Skimr vignette.
The base skimmers
skimr has a group of functions that it applies to all data types. We call these the “base”” skimmers:
-
n_missing: The number of missing values in the column. -
complete_rate: The ratio of non-missing values to the total values in the column.
Default skimmers
To learn more about the functions used in this package, use the function get_default_skimmer_names().
## $AsIs
## [1] "n_unique" "min_length" "max_length"
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## $character
## [1] "min" "max" "empty" "n_unique" "whitespace"
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## $complex
## [1] "mean"
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## $Date
## [1] "min" "max" "median" "n_unique"
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## $difftime
## [1] "min" "max" "median" "n_unique"
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## $factor
## [1] "ordered" "n_unique" "top_counts"
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## $haven_labelled
## [1] "mean" "sd" "p0" "p25" "p50" "p75" "p100" "hist"
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## $list
## [1] "n_unique" "min_length" "max_length"
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## $logical
## [1] "mean" "count"
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## $numeric
## [1] "mean" "sd" "p0" "p25" "p50" "p75" "p100" "hist"
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## $POSIXct
## [1] "min" "max" "median" "n_unique"
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## $Timespan
## [1] "min" "max" "median" "n_unique"
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## $ts
## [1] "start" "end" "frequency" "deltat" "mean"
## [6] "sd" "min" "max" "median" "line_graph"The counterpart to this function is get_default_skimmers(), which returns the functions themselves. If you are interested in a particular class within skimr, pass it as a string to either function.
get_default_skimmer_names("numeric")## $numeric
## [1] "mean" "sd" "p0" "p25" "p50" "p75" "p100" "hist"The same information is stored in the skimmers_used attribute of the object returned by skim().