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

Product typeBook

Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789804379

Edition1st Edition

Languages

Tools

ggplot

Concepts

Data Analysis

Authors (2):

Radhika Datar

Harish Garg

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Cleaning the dataset

Data cleaning, or rather, tidying up the data is the process of transforming raw data into specific consistent data, which includes analysis in a simpler manner. The R programming language includes a set of comprehensive tools that are specifically designed to clean the data in an effective manner. We will focus on cleaning the dataset over here in a specific way.

The following steps are carried out to perform cleaning attributes of datasets or data frames:

Include the libraries that are required to clean and tidy up the dataset as follows:

> library(dplyr)
> library(tidyr)

Analyze the summary of our dataset as shown here, which will help us to focus on which attributes we need to work on:

> summary(GlassDataset)
Id RI Na Mg Al Si

Min. : 1.00 Min. :1.511 Min. :10.73 Min. :0.000 Min. :0.290 Min. :69.81

1st Qu.: 54.25 1st Qu.:1.517 1st Qu.:12.91 1st...

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Hands-On Exploratory Data Analysis with R

Published in: May 2019Publisher: PacktISBN-13: 9781789804379

Authors (2)

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 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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