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Hands-On Data Science with R
book

Hands-On Data Science with R

by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
November 2018
Beginner to intermediate
420 pages
10h 4m
English
Packt Publishing
Content preview from Hands-On Data Science with R

Mixed data types

DataFrames in R require a single data type per column of data. The same column may not contain both numeric and character data and when that happens, R coerces the column using the sequence shown as follows:

Logical à Integer à Double à Character

What this means is that, if say a column contains numeric (integer or double) values and character strings, R will coerce the column to be a character column. We can see this by using the typeof command:

> typeof(c(1,2,"a")) 
[1] "character" 

A dataset containing the symbol $ in an amount field for instance, would be interpreted as a character column even though the column was intended to be numeric. In such cases, it would be essential to leverage string operations in R to cleanse ...

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Publisher Resources

ISBN: 9781789139402