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You're reading from Hands-On Exploratory Data Analysis with R Become an expert in exploratory data analysis using R packages

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789804379

Length 266 pages

Edition 1st Edition

Languages

Tools

ggplot

Concepts

Data Analysis

Authors (2):

Radhika Datar

Harish Garg

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Table of Contents (17) Chapters

Preface

1. Section 1: Setting Up Data Analysis Environment FREE CHAPTER

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

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Data visualization

In this section, we will focus on the creation of the following plots:

Autocorrelation
Spectrum
Phase

Autocorrelation plots

Autocorrelation plots are regarded as plots for creating randomness in a particular dataset. This randomness is very powerful regarding autocorrelations of data values with varying time lags. It is mandatory that autocorrelations for any dataset should be near zero, for any and all time-lag separations.

The Acf function computes (and, by default, plots) an estimate of the autocorrelation function of a (possibly multivariate) time series. The syntax is as follows:

> Acf(x, lag.max = NULL, type = c("correlation", "covariance","partial"), plot = TRUE...

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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.

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Harish Garg

BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services

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