A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

Nonfiction, Computers, Application Software
Cover of the book A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R by Lyn R. Whitaker, Samuel E. Buttrey, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Lyn R. Whitaker, Samuel E. Buttrey ISBN: 9781119080060
Publisher: Wiley Publication: October 24, 2017
Imprint: Wiley Language: English
Author: Lyn R. Whitaker, Samuel E. Buttrey
ISBN: 9781119080060
Publisher: Wiley
Publication: October 24, 2017
Imprint: Wiley
Language: English

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R

Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R.

Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more.

  • The only single-source guide to R data and its preparation, it describes best practices for acquiring, manipulating, cleaning, and maintaining data
  • Begins with the basics and walks readers through all the steps necessary to get data ready for the modeling process
  • Provides expert guidance on how to document the processes described so that they are reproducible
  • Written by seasoned professionals, it provides both introductory and advanced techniques
  • Features case studies with supporting data and R code, hosted on a companion website

A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R

Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R.

Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more.

A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R is a valuable working resource/bench manual for practitioners who collect and analyze data, lab scientists and research associates of all levels of experience, and graduate-level data mining students.

More books from Wiley

Cover of the book The Manager's Guide to Systems Practice by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book The Handbook of the Neuropsychology of Language by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Biobased and Environmentally Benign Coatings by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Advanced Green Composites by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Automation for Robotics by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Mindfulness-integrated CBT for Well-being and Personal Growth by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Valuation Workbook by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Why You're Dumb, Sick and Broke...And How to Get Smart, Healthy and Rich! by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Operator's Guide to General Purpose Steam Turbines by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book The Black Book of Outsourcing by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Power System Transient Analysis by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book $0 to Rich by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book The Reality-Based Rules of the Workplace by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book OLED Display by Lyn R. Whitaker, Samuel E. Buttrey
Cover of the book Physico-Chemistry of Solid-Gas Interfaces by Lyn R. Whitaker, Samuel E. Buttrey
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy