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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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Mapping and understanding the data structure

This section involves understanding the depth of each and every attribute that is considered to be important for the dataset indicated:

  1. To get a feel for the data as per the attribute structure, use the following code:
> class(GlassDataset)
[1] "tbl_df" "tbl" "data.frame"

The output shows that the dataset is merely a tabular format of the data frame.

  1. Check the dimensions of the dataset as follows:
> dim(GlassDataset)
[1] 214 11

This means that the dataset comprises 214 rows and 11 columns. The column structure is as discussed in the first section.

  1. View the column names of the dataset and check whether they correspond to the records included in the Excel file:
> colnames(GlassDataset)
[1] "Id" "RI" "Na" "Mg" "Al" "Si" "K"...
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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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