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Hands-On Exploratory Data Analysis with R

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

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789804379
Pages 266 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Radhika Datar Radhika Datar
Profile icon Radhika Datar
LinkedIn
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.
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Harish Garg Harish Garg
Profile icon Harish Garg
LinkedIn
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.
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Toc

Table of Contents (17) Chapters close

Preface 1. Section 1: Setting Up Data Analysis Environment
2. Setting Up Our Data Analysis Environment 3. Importing Diverse Datasets 4. Examining, Cleaning, and Filtering 5. Visualizing Data Graphically with ggplot2 6. Creating Aesthetically Pleasing Reports with knitr and R Markdown 7. Section 2: Univariate, Time Series, and Multivariate Data
8. Univariate and Control Datasets 9. Time Series Datasets 10. Multivariate Datasets 11. Section 3: Multifactor, Optimization, and Regression Data Problems
12. Multi-Factor Datasets 13. Handling Optimization and Regression Data Problems 14. Section 4: Conclusions
15. Next Steps 16. Other Books You May Enjoy

Technical requirements

R is an open source software that is platform independent. All you need to do is download the particular package from the following links:

The following steps are used to install R in your system:

  • You need to have the R language installed. Download the R installer from here: https://cran.r-‐project.org/.
  • We recommend using RStudio. If you don't already have it installed, you can get it from the following link: https://www.rstudio.com/products/rstudio/download.
  • Check that R and RStudio are working.
  • Install the R packages required for the workshop.

The first time you open the RStudio user interface after installation, it will look as shown in the following screenshot:

  • You will also need to have prior knowledge of the R programming language. Packt has a wide range of books and video titles that are available for this purpose.
  • The code for this...
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Authors (2)

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Profile icon Radhika Datar
LinkedIn
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
See other products by Radhika Datar
Profile icon Harish Garg
LinkedIn
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
See other products by Harish Garg
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