Hands-On Exploratory Data Analysis with R: Become an expert in exploratory data analysis using R packages
Author:   Radhika Datar ,  Harish Kumar Garg
Publisher:   Packt Publishing Limited
ISBN:  

9781789804379


Pages:   266
Publication Date:   31 May 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Exploratory Data Analysis with R: Become an expert in exploratory data analysis using R packages


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Author:   Radhika Datar ,  Harish Kumar Garg
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789804379


ISBN 10:   178980437
Pages:   266
Publication Date:   31 May 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Setting Up Our Data Analysis Environment Importing Diverse Datasets Examining, Cleaning, and Filtering Visualizing Data Graphically with ggplot2 Creating Aesthetically Pleasing Reports with knitr and R Markdown Univariate and Control Datasets Time Series Datasets Multivariate Datasets Multi-Factor Datasets Handling Optimization and Regression Data Problems Next Steps

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Author Information

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. 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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