whatis {no package}R Documentation

Initial Data Laundering

Description

A tool that formats a data frame in a useful way for basic reality checking.

Usage

whatis(x, ...)

whatis(x, var.name.truncate = 20)

Arguments

x the data frame to be laundered.
var.name.truncate the number of characters at which to truncate the names of variables so that they all fit on the screen.

Details

whatis() prints out a line of text for each variable in a data frame giving its storage type (factor, numeric, string, etc.), number of missing values, number of distinct values (helpful, for instance, in identifying variables that are numeric but should be considered as factors), and suspicious values (potential outliers).

Author(s)

John Emerson, Department of Statistics, Yale University.
Walton Green, Department of Geology and Geophysics, Yale University.

References

Paper TBA I hope.

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Examples


Do we have some nice examples?


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