mtcars_messy

<p>Modified version of the mtcars dataset with different types of errors
in the data. The dataset has 13 variables and 32 observations.</p>

datasets

Tools for assessing data quality, performing exploratory analysis, and
semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.

David Hervas

clickR

Semi-Automatic Preprocessing of Messy Data with Change Tracking
for Dataset Cleaning

David Hervas Marin

mtcars_messy function

<p>A data frame with 32 observations and 13 variables</p>

mtcars_messy: Messy Motor Trend Car Road Tests Dataset

Description

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Examples