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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Summary

In this chapter, we listed some of the various packages that are available for reading in various kinds of attributes within the mentioned dataset in R. There are a lot of different options, and even the options we have listed have a wide functionality, which we are going to cover and use as we go further in the book. We learned how to reshape and tidy the erroneous data, along with manipulating and mutating it. By the end of the chapter, we learned how to clean the time series data.

In the next chapter, we will learn to visualize data graphically using the ggplot2 package. We will also demonstrate how to draw different kinds of plots and charts, such as scatter plots, histograms, probability plots, residual plots, box plots, and block plots.

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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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