Data wrangling with R / (Record no. 259)

MARC details
000 -LEADER
fixed length control field 01993cam a2200289Ii 4500
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210114s2016 sz a b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319455983
International Standard Book Number 3319455982
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)954429014
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276.45.R3
Item number B64 2016
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Boehmke, Bradley C.
245 10 - TITLE STATEMENT
Title Data wrangling with R /
Statement of responsibility, etc. Bradley C. Boehmke.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham, Switzerland :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2016.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 238 p. :
Other physical details ill. (some col.)
490 1# - SERIES STATEMENT
Series statement Use R!
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note The role of data wrangling -- Introduction to R -- The basics -- Dealing with numbers -- Dealing with character strings -- Dealing with regular expressions -- Dealing with factors -- Dealing with dates -- Data structure basics -- Managing vectors -- Managing lists -- Managing matrices -- Managing data frames -- Dealing with missing values -- Importing data -- Scraping data -- Exporting data -- Functions -- Loop control statements -- Simplify your code with %>% -- Reshaping your data with tidyr -- Transforming your data with dplyr.
520 ## - SUMMARY, ETC.
Summary, etc. This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multivariate analysis.
Topical term or geographic name entry element R (Computer program language)
Topical term or geographic name entry element Statistics
General subdivision Data processing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Use R!
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Punsarn Library Punsarn Library General Stacks 17/06/2021 QA276.45.R3 B64 2016 PNLIB21060073 17/06/2021 17/06/2021 Books