MARC details
000 -LEADER |
fixed length control field |
02014nam a22002297a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ISI Library, Kolkata |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240715160643.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240715b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119080022 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
ISI Library |
Language of cataloging |
English |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
SA.055 |
Item number |
B988 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Buttrey, Samuel E. |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
A data scientist's guide to acquiring, cleaning, and managing data in R/ |
Statement of responsibility, etc |
Samuel E. Buttrey and Lyn R. Whitaker |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New Jersey: |
Name of publisher, distributor, etc |
Wiley, |
Date of publication, distribution, etc |
2018 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxi, 288 pages; |
Dimensions |
23 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliography and index |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
R -- R data, part 1: vectors -- r data, part 2: more complicated structures -- R data, part 3: text and factors -- Writing functions and scripts -- Getting data into and out of R -- Data handling in practice -- Extended exercise |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistical Computing |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Whitaker, Lyn R. |
Relator term |
author |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Books |