Nicht aus der Schweiz? Besuchen Sie lehmanns.de
CRAN Recipes - William Yarberry

CRAN Recipes (eBook)

DPLYR, Stringr, Lubridate, and RegEx in R
eBook Download: PDF
2021 | 1st ed.
XXI, 344 Seiten
Apress (Verlag)
978-1-4842-6876-6 (ISBN)
Systemvoraussetzungen
66,99 inkl. MwSt
(CHF 65,45)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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. 

What You Will Learn

  • 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


Who This Book Is For 

Programmers/data scientists with at least some prior exposure to R.



William A. Yarberry, Jr., CPA, CISA, is principal consultant, ICCM Consulting LLC, based in Houston, Texas. His practice is focused on IT governance, Sarbanes-Oxley compliance, security consulting, and business analytics for cost management. He was previously a senior manager with PricewaterhouseCoopers, responsible for telecom and network services in the Southwest region. Yarberry has more than 30 years' experience in a variety of IT-related services, including application development, internal audit management, outsourcing administration, and Sarbanes-Oxley consulting.

His books include The Effective CIO (co-authored), Computer Telephony Integration, $250K Consulting, DPLYR, 50,000 Random Numbers, Telecommunications Cost Management, and GDPR: A Short Primer. In addition, he has written over 20 professional articles on topics ranging from wireless security to change management. One of his articles, 'Audit Rights in an Outsource Environment,' received the Institute of Internal Auditors Outstanding Contributor Award.

Prior to joining PricewaterhouseCoopers, Yarberry was director of telephony services for Enron Corporation. He was responsible for operations, planning, and architectural design for voice communications servers and related systems for more than 7,000 employees. Yarberry graduated Phi Beta Kappa in chemistry from the University of Tennessee and earned an MBA at the University of Memphis. He enjoys reading history, swimming, hiking, and spending time with family.



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 eliminatesthe need to know functions/packages in advance. What You Will LearnCarry out input/output; visualizations; data munging; manipulations at the group level; and quick data explorationHandle 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 functionsCreate combinations or subsets of files using joinsWrite 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 wordsDo wild-card matching, extraction, and invert-matchWork with dates using LUBRIDATEFix dirty data; attractive formatting; bad habits to avoid Who This Book Is For Programmers/data scientists with at least some prior exposure to R.
Erscheint lt. Verlag 23.4.2021
Zusatzinfo XXI, 344 p. 53 illus., 35 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Statistik
Schlagworte Big Data • CRAN • Data Mining • data munging • Data Science • dplyr • lubridate • programming • R • regex • Regular Expressions • Statistical • Statistics • stringr
ISBN-10 1-4842-6876-8 / 1484268768
ISBN-13 978-1-4842-6876-6 / 9781484268766
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 7,0 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Das umfassende Handbuch

von Johannes Ernesti; Peter Kaiser

eBook Download (2023)
Rheinwerk Computing (Verlag)
CHF 30,70
Das Handbuch für Webentwickler

von Philip Ackermann

eBook Download (2023)
Rheinwerk Computing (Verlag)
CHF 34,10
Deterministische und randomisierte Algorithmen

von Volker Turau; Christoph Weyer

eBook Download (2024)
De Gruyter (Verlag)
CHF 63,45