東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

CRAN recipes = DPLYR, Stringr, Lubri...

Yarberry, William.

FindBook

Google Book

Amazon

博客來

CRAN recipes = DPLYR, Stringr, Lubridate, and RegEx in R /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	CRAN recipes/ by William Yarberry.
其他題名:	DPLYR, Stringr, Lubridate, and RegEx in R /
作者:	Yarberry, William.
出版者:	Berkeley, CA :Apress : : 2021.,
面頁冊數:	xxi, 344 p. :ill., digital ;24 cm.
內容註:	1: DPLYR -- 2: STRINGR -- 3: Lubridate -- 4: Regular Expressions: Introduction -- 5: Typical Uses -- 6: Some Simple Patterns -- 7: Character Classes -- 8: Elements of Regular Expressions -- 9: The Magnificent Seven -- 10: Regular Expressions in Stringr -- 11: Unicode -- 12: Tools for Development and Resources -- 13: Regex Summary -- 14: Recipes for Common R Tasks -- 15: Data Structures -- 16: Visualization -- 17: Simple Prediction Methods -- 18: Smorgasbord of Simple Statistical Tests -- 19: Validation of Data -- 20: Shortcuts and Miscellaneous -- 21: Conclusion -- Appendix A: Suggested Websites -- Appendix B: Cheat Sheet for Regex in R -- Appendix C: General R Comments by John D. Cook, Consultant -- Appendix D: Understanding a Long Regular Expression -- Appendix E: Regular Expression-enabled Languages -- Appendix F: Sample Data Analysis Questions -- Appendix G: Formats Recognized by Lubridate.
Contained By:	Springer Nature eBook
標題:	R (Computer program language) -
電子資源:	https://doi.org/10.1007/978-1-4842-6876-6
ISBN:	9781484268766

CRAN recipes = DPLYR, Stringr, Lubridate, and RegEx in R /
Yarberry, William.

CRAN recipesDPLYR, Stringr, Lubridate, and RegEx in R /[electronic resource] :by William Yarberry. - Berkeley, CA :Apress :2021. - xxi, 344 p. :ill., digital ;24 cm.

1: DPLYR -- 2: STRINGR -- 3: Lubridate -- 4: Regular Expressions: Introduction -- 5: Typical Uses -- 6: Some Simple Patterns -- 7: Character Classes -- 8: Elements of Regular Expressions -- 9: The Magnificent Seven -- 10: Regular Expressions in Stringr -- 11: Unicode -- 12: Tools for Development and Resources -- 13: Regex Summary -- 14: Recipes for Common R Tasks -- 15: Data Structures -- 16: Visualization -- 17: Simple Prediction Methods -- 18: Smorgasbord of Simple Statistical Tests -- 19: Validation of Data -- 20: Shortcuts and Miscellaneous -- 21: Conclusion -- Appendix A: Suggested Websites -- Appendix B: Cheat Sheet for Regex in R -- Appendix C: General R Comments by John D. Cook, Consultant -- Appendix D: Understanding a Long Regular Expression -- Appendix E: Regular Expression-enabled Languages -- Appendix F: Sample Data Analysis Questions -- Appendix G: Formats Recognized by Lubridate.

Want to use the power of R sooner rather than later? Don't have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides the building blocks you need to fit R's astounding capabilities to your analytics, reporting, and visualization needs. CRAN Recipes recognizes how needless jargon and complexity get in your way. Busy professionals need simple examples and intuitive descriptions; side trips and meandering philosophical discussions are left for other books. Here R scripts are condensed, to the extent possible, to copy-paste-run format. Chapters and examples are structured to purpose rather than particular functions (e.g., "dirty data cleanup" rather than the R package name "janitor") Everyday language eliminates the need to know functions/packages in advance. You will: Carry out input/output; visualizations; data munging; manipulations at the group level; and quick data exploration Handle forecasting (multivariate, time series, logistic regression, Facebook's Prophet, and others) Use text analytics; sampling; financial analysis; and advanced pattern matching (regex) Manipulate data using DPLYR: filter, sort, summarize, add new fields to datasets, and apply powerful IF functions Create combinations or subsets of files using joins Write efficient code using pipes to eliminate intermediate steps (MAGRITTR) Work with string/character manipulation of all types (STRINGR) Discover counts, patterns, and how to locate whole words Do wild-card matching, extraction, and invert-match Work with dates using LUBRIDATE Fix dirty data; attractive formatting; bad habits to avoid.

ISBN: 9781484268766

Standard No.: 10.1007/978-1-4842-6876-6doiSubjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA276.45.R3 / Y373 2021

Dewey Class. No.: 519.502855133

CRAN recipes = DPLYR, Stringr, Lubridate, and RegEx in R /
LDR:03722nmm a2200325 a 4500 001 2240241
003 DE-He213
005 20210423094430.0
006 m d
007 cr nn 008maaau
008 211111s2021 cau s 0 eng d
020 $a 9781484268766 $q (electronic bk.)
020 $a 9781484268759 $q (paper)
024 7 $a 10.1007/978-1-4842-6876-6 $2 doi
035 $a 978-1-4842-6876-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.45.R3 $b Y373 2021
072 7 $a U $2 bicssc
072 7 $a COM000000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 519.502855133 $2 23
090 $a QA276.45.R3 $b Y26 2021
100 1 $a Yarberry, William. $3 3495025
245 1 0 $a CRAN recipes $h [electronic resource] : $b DPLYR, Stringr, Lubridate, and RegEx in R / $c by William Yarberry.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xxi, 344 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1: DPLYR -- 2: STRINGR -- 3: Lubridate -- 4: Regular Expressions: Introduction -- 5: Typical Uses -- 6: Some Simple Patterns -- 7: Character Classes -- 8: Elements of Regular Expressions -- 9: The Magnificent Seven -- 10: Regular Expressions in Stringr -- 11: Unicode -- 12: Tools for Development and Resources -- 13: Regex Summary -- 14: Recipes for Common R Tasks -- 15: Data Structures -- 16: Visualization -- 17: Simple Prediction Methods -- 18: Smorgasbord of Simple Statistical Tests -- 19: Validation of Data -- 20: Shortcuts and Miscellaneous -- 21: Conclusion -- Appendix A: Suggested Websites -- Appendix B: Cheat Sheet for Regex in R -- Appendix C: General R Comments by John D. Cook, Consultant -- Appendix D: Understanding a Long Regular Expression -- Appendix E: Regular Expression-enabled Languages -- Appendix F: Sample Data Analysis Questions -- Appendix G: Formats Recognized by Lubridate.
520 $a Want to use the power of R sooner rather than later? Don't have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides the building blocks you need to fit R's astounding capabilities to your analytics, reporting, and visualization needs. CRAN Recipes recognizes how needless jargon and complexity get in your way. Busy professionals need simple examples and intuitive descriptions; side trips and meandering philosophical discussions are left for other books. Here R scripts are condensed, to the extent possible, to copy-paste-run format. Chapters and examples are structured to purpose rather than particular functions (e.g., "dirty data cleanup" rather than the R package name "janitor") Everyday language eliminates the need to know functions/packages in advance. You will: Carry out input/output; visualizations; data munging; manipulations at the group level; and quick data exploration Handle forecasting (multivariate, time series, logistic regression, Facebook's Prophet, and others) Use text analytics; sampling; financial analysis; and advanced pattern matching (regex) Manipulate data using DPLYR: filter, sort, summarize, add new fields to datasets, and apply powerful IF functions Create combinations or subsets of files using joins Write efficient code using pipes to eliminate intermediate steps (MAGRITTR) Work with string/character manipulation of all types (STRINGR) Discover counts, patterns, and how to locate whole words Do wild-card matching, extraction, and invert-match Work with dates using LUBRIDATE Fix dirty data; attractive formatting; bad habits to avoid.
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Professional Computing. $3 3201325
650 2 4 $a Computer Science, general. $3 892601
650 2 4 $a Statistics, general. $3 896933
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-6876-6
950 $a Professional and Applied Computing (SpringerNature-12059)