tidylab.dqa
Data Quality Assurance Activities for Inconsistencies Discovery and Data Cleansing
The package contains classes for performing data quality assurance: 1. Profile the data with DataQualityProfiler to discover inconsistencies and other anomalies in the data. 2. Perform data cleansing activities (e.g. removing outliers, missing data interpolation) with DataQualityOperations to improve the data quality.
tidylab.dqa
is part of tidylab
. The easiest way to install it, is by
installing tidylab
:
# Install all tidylab packages
# install.packages("devtools")
devtools::install_github("tidylab/tidylab")
Alternativly, you can install only tidylab.dqa
by using:
# Install only tidylab.dqa
# install.packages("devtools")
devtools::install_github("tidylab/tidylab.dqa")
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