R Data Science Quick Reference : a Pocket Guide to APIs, Libraries, and Packages

In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you'll learn about the following APIs and packages that deal specifically w...

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Bibliographic Details
Main Author: Mailund, Thomas.
Format: eBook
Language: English
Published: Berkeley, CA : Apress, 2019.
Subjects:
R (Computer program language)
Application program interfaces (Computer software)
elektronické knihy
electronic books
ISBN: 9781484248942
1484248945
9781484248935
1484248937
Physical Description: 1 online resource (246 pages)

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Table of contents

LEADER 03495cam a2200409 a 4500
001 kn-on1112420967
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 190817s2019 cau o 001 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d YDX  |d GW5XE  |d EBLCP  |d LQU  |d OCLCF  |d OCLCQ  |d SFB  |d OCLCQ  |d UKMGB  |d OCLCQ  |d UKAHL  |d SRU  |d N$T  |d OCLCO  |d SNK  |d OCLCQ  |d OCLCO  |d LUU  |d OCLCQ  |d AUD  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCL 
020 |a 9781484248942  |q (electronic bk.) 
020 |a 1484248945  |q (electronic bk.) 
020 |z 9781484248935 
020 |z 1484248937 
024 7 |a 10.1007/978-1-4842-4894-2  |2 doi 
024 8 |a 10.1007/978-1-4842-4 
035 |a (OCoLC)1112420967  |z (OCoLC)1112267744  |z (OCoLC)1112507940  |z (OCoLC)1112899585  |z (OCoLC)1117280756  |z (OCoLC)1117704199  |z (OCoLC)1119619973  |z (OCoLC)1125782895 
100 1 |a Mailund, Thomas. 
245 1 0 |a R Data Science Quick Reference :  |b a Pocket Guide to APIs, Libraries, and Packages /  |c Thomas Mailund. 
260 |a Berkeley, CA :  |b Apress,  |c 2019. 
300 |a 1 online resource (246 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 0 |a 1. Introduction -- 2. Importing Data: readr -- 3. Representing Tables: tibble -- 4. Reformatting Tables: tidyr -- 5. Pipelines: magrittr -- 6. Functional Programming: purrr -- 7. Manipulating Data Frames: dplyr -- 8. Working with Strings: stringr -- 9. Working with Factors: forcats -- 10. Working with Dates: lubridate -- 11. Working with Models: broom and modelr -- 12. Plotting: ggplot2 -- 13. Conclusions. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you'll learn about the following APIs and packages that deal specifically with data science applications: readr, tibble, forcates, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, broom, knitr, shiny, and more. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. You will: Get started with RMarkdown and notebooks Import data with readr Work with categories using forcats, time and dates with lubridate, and strings with stringr Format data using tidyr and then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot 2 and data fit for models using modelr and broom Report results with markdown, knitr, shiny, and more. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a R (Computer program language) 
650 0 |a Application program interfaces (Computer software) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Mailund, Thomas.  |t R Data Science Quick Reference : A Pocket Guide to APIs, Libraries, and Packages.  |d Berkeley, CA : Apress L.P., ©2019  |z 9781484248935 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpRDSQRAP4/r-data-science?kpromoter=marc  |y Full text 

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