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R 4 data science quick reference = a...

Mailund, Thomas.

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R 4 data science quick reference = a pocket guide to APIs, libraries, and packages /

Record Type:	Electronic resources : Monograph/item
Title/Author:	R 4 data science quick reference/ by Thomas Mailund.
Reminder of title:	a pocket guide to APIs, libraries, and packages /
Author:	Mailund, Thomas.
Published:	Berkeley, CA :Apress : : 2022.,
Description:	ix, 232 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction. - 2. Importing Data: readr -- 3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr -- 6. Pipelines: magrittr -- 7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr -- 10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2 -- 14. Conclusions.
Contained By:	Springer Nature eBook
Subject:	R (Computer program language) -
Online resource:	https://doi.org/10.1007/978-1-4842-8780-4
ISBN:	9781484287804

R 4 data science quick reference = a pocket guide to APIs, libraries, and packages /
Mailund, Thomas.

R 4 data science quick referencea pocket guide to APIs, libraries, and packages /[electronic resource] :by Thomas Mailund. - Second edition. - Berkeley, CA :Apress :2022. - ix, 232 p. :ill., digital ;24 cm.

1. Introduction. - 2. Importing Data: readr -- 3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr -- 6. Pipelines: magrittr -- 7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr -- 10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2 -- 14. Conclusions.

ISBN: 9781484287804

Standard No.: 10.1007/978-1-4842-8780-4doiSubjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA276.45.R3 / M35 2022

Dewey Class. No.: 519.50285536

R 4 data science quick reference = a pocket guide to APIs, libraries, and packages /
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245 1 0 $a R 4 data science quick reference $h [electronic resource] : $b a pocket guide to APIs, libraries, and packages / $c by Thomas Mailund.
250 $a Second edition.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2022.
300 $a ix, 232 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction. - 2. Importing Data: readr -- 3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr -- 6. Pipelines: magrittr -- 7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr -- 10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2 -- 14. Conclusions.
650 0 $a R (Computer program language) $3 784593
650 0 $a Statistics $x Data processing. $3 535534
650 1 4 $a Programming Language. $3 3538935
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Computer Science. $3 626642
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
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