Data manipulation with R : efficiently perform data manipulation using the split-apply-combine strategy in R /
Saved in:
| Author / Creator: | Abedin, Jaynal, author. |
|---|---|
| Edition: | Second edition. |
| Imprint: | Birmingham, England ; Mumbai [India] : Packt Publishing, 2015. ©2015 |
| Description: | 1 online resource (130 pages) : illustrations, tables |
| Language: | English |
| Series: | Community Experience Distilled Community experience distilled. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11242529 |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | 11242529 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 150418t20152015enka o 001 0 eng d | ||
| 005 | 20240618205226.9 | ||
| 020 | |a 9781785288500 |q (electronic bk.) | ||
| 020 | |a 1785288504 |q (electronic bk.) | ||
| 020 | |z 9781785288814 | ||
| 035 | |a (OCoLC)908071119 | ||
| 035 | 9 | |a (OCLCCM-CC)908071119 | |
| 040 | |a E7B |b eng |e rda |e pn |c E7B |d EBLCP |d OCLCF |d N$T |d OCLCQ |d IDB |d CCO |d COCUF |d CNNOR |d LOA |d K6U |d STF |d AGLDB |d ICA |d PIFAG |d FVL |d ZCU |d MERUC |d OCLCQ |d VT2 |d U3W |d D6H |d WRM |d OCLCQ |d VTS |d ICG |d NLE |d INT |d OCLCQ |d G3B |d TKN |d OCLCQ |d DKC |d OCLCQ |d HS0 |d OCLCQ | ||
| 049 | |a MAIN | ||
| 050 | 4 | |a QA276.45.R3 |b .A243 2015eb | |
| 072 | 7 | |a MAT |x 003000 |2 bisacsh | |
| 072 | 7 | |a MAT |x 029000 |2 bisacsh | |
| 100 | 1 | |a Abedin, Jaynal, |e author. | |
| 245 | 1 | 0 | |a Data manipulation with R : |b efficiently perform data manipulation using the split-apply-combine strategy in R / |c Jaynal Abedin, Kishor Kumar Das. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, England ; |a Mumbai [India] : |b Packt Publishing, |c 2015. | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (130 pages) : |b illustrations, tables | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community Experience Distilled | |
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed April 18, 2015). | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to R Data Types and Basic Operations; Getting different versions of R; Installing R on different platforms; Installing and using R libraries; Manually downloading and installing packages; Installing packages within the R shell; Comparing R with other software; R as an enterprise solution; Writing commands in R; R data types and basic operations; Modes and classes of R objects; The R object structure and mode conversion; Vector; Factor and its types | |
| 505 | 8 | |a Data frameMatrices; Arrays; List; Missing values in R; Summary; Chapter 2: Basic Data Manipulation; Acquiring data; Vector and matrix operations; Factor manipulation; Factors from numeric variables; Date processing using lubridate; Character manipulation; Subscripting and subsetting; Summary; Chapter 3: Data Manipulation using plyr and dplyr; Applying the split-apply-combine strategy; Introducing the plyr and dplyr libraries; plyr's utilities; Intuitive function names in the plyr library; Inputs and arguments; Multiargument functions; Comparing base R and plyr | |
| 505 | 8 | |a Powerful data manipulation with dplyrFiltering and slicing rows; Arranging rows; Selecting and renaming; Adding new columns; Selecting distinct rows; Column-wise descriptive statistics; Group-wise operations; Chaining; Summary; Chapter 4: Reshaping Datasets; Typical layout of a dataset; Long layout; Wide layout; New layout of a dataset; Reshaping the dataset from the typical layout; Reshaping the dataset with the reshape package; Melting data; Missing values in molten data; Casting molten data; The reshape2 package; Summary; Chapter 5: R and Databases; R and different databases; R and Excel | |
| 505 | 8 | |a R and MS AccessRelational databases in R; The filehash package; The ff package; R and sqldf; Data manipulation using sqldf; Summary; Chapter 6: Text Manipulation; Text data and its source; Getting text data; Text processing using default functions; Working with Twitter data; Summary; Index | |
| 520 | |a This book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R. | ||
| 650 | 0 | |a R (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh2002004407 | |
| 650 | 0 | |a Statistics |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85127583 | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 650 | 7 | |a Statistics |x Data processing. |2 fast |0 (OCoLC)fst01132113 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Das, Kishor Kumar, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Abedin, Jaynal. |t Data manipulation with R. |b Second edition. |d Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015 |
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
| 903 | |a HeVa | ||
| 929 | |a oclccm | ||
| 999 | f | f | |i e665f84a-4db2-5810-af70-6373e788fbd1 |s 1fd13e88-915b-5ab3-96ba-377cc36113f2 |
| 928 | |t Library of Congress classification |a QA276.45.R3 .A243 2015eb |l Online |c UC-FullText |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=974180 |z eBooks on EBSCOhost |g ebooks |i 12425898 | ||