Download the fantastic book titled A Data Scientist s Guide to Acquiring Cleaning and Managing Data in R written by Samuel E. Buttrey, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "A Data Scientist s Guide to Acquiring Cleaning and Managing Data in R", which was released on 18 December 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of A Data Scientist s Guide to Acquiring Cleaning and Managing Data in R by Samuel E. Buttrey PDF
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.
Detail About A Data Scientist s Guide to Acquiring Cleaning and Managing Data in R PDF
- Author : Samuel E. Buttrey
- Publisher : John Wiley & Sons
- Genre : Computers
- Total Pages : 310 pages
- ISBN : 1119080029
- Release Date : 18 December 2017
- PDF File Size : 43,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
Clicking on the GET BOOK button will initiate the downloading process of A Data Scientist s Guide to Acquiring Cleaning and Managing Data in R by Samuel E. Buttrey. This book is available in ePub and PDF format with a single click unlimited downloads.