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You're reading from  Hands-On Exploratory Data Analysis with R

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789804379
Edition1st Edition
Languages
R
Tools
ggplot
Concepts
Data Analysis
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Authors (2):
Radhika Datar
Radhika Datar
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Radhika Datar

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar

Harish Garg
Harish Garg
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Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg

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Converting rectangular data into R with the readr R package

Tabular data, or flat rectangular data, comes in many different formats, including CSV and TSV. R's readr package provides an easy and flexible way to import all kinds of data into R. It also fails gracefully if there are issues with the data you are trying to import. You can load the readr package with the following command:

library(readr)

The simplest way to import data with readr package is to call the specific read data function for different file types, depending on the data you are reading. For example, in the following screenshot, we have a CSV file containing data about automobiles. This data is also bundled as an example dataset with the readr package, as shown in the following screenshot:

Use the following command to read a particular CSV file in each column:

read_csv("mtcars.csv")#> Parsed...
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Hands-On Exploratory Data Analysis with R
Published in: May 2019Publisher: PacktISBN-13: 9781789804379
© 2019 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Radhika Datar

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.
Read more about Radhika Datar

author image
Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.
Read more about Harish Garg

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