Perform Basic Checks of Dataframes

Check one column or multiple columns of a dataframe using the preset basic checks or your own functions. Enables checks without knowledge of lapply() or sapply().


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Inspectr consists of functions adapted from a quality control script I developed for performing data checks on large datasets from an educational assessment, then generalized for more generic application.

The inspectr package contains two classes of functions: column checks and basic fidelity checks. Column check functions allow the user to check data for fidelity without having to master apply functions, and basic fidelity check functions can be used to facilitate some common checks. The user can also define their own checks to use with the column check functions, making the package generalizable to unique data requirements.

Getting started

The data-checks vignette included with this package provides an overview of how to use the column check functions and illustrates the included basic fidelity check functions: vignette("introduction", package = "dplyr")


inspectr version 1.0.0

Version 1.0.0 - first stable release

Reference manual

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1.0.0 by Jennifer Brussow, a year ago

Browse source code at

Authors: Jennifer Brussow [aut, cre]

Documentation:   PDF Manual  

CC BY-SA 4.0 license

Imports openxlsx

Suggests knitr, rmarkdown

See at CRAN