May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Reshaping and tidying up erroneous data
Erroneous data is regarded as data that falls outside of what is accepted and what should be rejected by the system. In this section, we will focus on two major activities: reshaping and tidying up erroneous data. With the R programming language, this process can be achieved with the tidyr package. This package is designed specifically for data tidying and works well with manipulated data. It is important that you install this package if you have newly installed the R environment.
The following steps are implemented to include this package in the R environment:
- Use the install.packages command to install the tidyr package in its entirety:
> install.packages("tidyr")
From this, we get the following ...
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