{"product_id":"cran-recipes-dplyr-stringr-lubridate-and-regex-in-r-paperback","title":"Cran Recipes: Dplyr, Stringr, Lubridate, and Regex in R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWilliam Yarberry\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWant 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. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eCRAN Recipes\u003c\/i\u003e 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. \u003c\/p\u003e \u003cp\u003eHere 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. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCarry out input\/output; visualizations; data munging; manipulations at the group level; and quick data exploration\u003c\/li\u003e\n\u003cli\u003eHandle forecasting (multivariate, time series, logistic regression, Facebook's Prophet, and others)\u003c\/li\u003e\n\u003cli\u003eUse text analytics; sampling; financial analysis; and advanced pattern matching (regex)\u003c\/li\u003e\n\u003cli\u003eManipulate data using DPLYR: filter, sort, summarize, add new fields to datasets, and apply powerful IF functions\u003c\/li\u003e\n\u003cli\u003eCreate combinations or subsets of files using joins\u003c\/li\u003e\n\u003cli\u003eWrite efficient code using pipes to eliminate intermediate steps (MAGRITTR)\u003c\/li\u003e\n\u003cli\u003e Work with string\/character manipulation of all types (STRINGR)\u003c\/li\u003e\n\u003cli\u003eDiscover counts, patterns, and how to locate whole words\u003c\/li\u003e\n\u003cli\u003eDo wild-card matching, extraction, and invert-match\u003c\/li\u003e\n\u003cli\u003eWork with dates using LUBRIDATE\u003c\/li\u003e\n\u003cli\u003eFix dirty data; attractive formatting; bad habits to avoid\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e \u003cb\u003eWho This Book Is For\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eProgrammers\/data scientists with at least some prior exposure to R.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWant 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eCRAN Recipes\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eHere 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. \u003c\/p\u003eYou will: \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCarry out input\/output; visualizations; data munging; manipulations at the group level; and quick data exploration\u003c\/li\u003e\n\u003cli\u003eHandle forecasting (multivariate, time series, logistic regression, Facebook's Prophet, and others)\u003c\/li\u003e\n\u003cli\u003eUse text analytics; sampling; financial analysis; and advanced pattern matching (regex)\u003c\/li\u003eManipulate data using DPLYR: filter, sort, summarize, add new fields to datasets, and apply powerful IF functions\u003cli\u003eCreate combinations or subsets of files using joins\u003c\/li\u003e\n\u003cli\u003eWrite efficient code using pipes to eliminate intermediate steps (MAGRITTR)\u003c\/li\u003e\n\u003cli\u003eWork with string\/character manipulation of all types (STRINGR)\u003c\/li\u003e\n\u003cli\u003eDiscover counts, patterns, and how to locate whole words\u003c\/li\u003e\n\u003cli\u003eDo wild-card matching, extraction, and invert-match\u003c\/li\u003e\n\u003cli\u003eWork with dates using LUBRIDATE\u003c\/li\u003e\n\u003cli\u003eFix dirty data; attractive formatting; bad habits to avoid\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWilliam A. Yarberry, Jr.\u003c\/b\u003e, 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.\u003c\/p\u003e \u003cp\u003eHis books include \u003ci\u003eThe Effective CIO\u003c\/i\u003e (co-authored), \u003ci\u003eComputer Telephony Integration\u003c\/i\u003e, \u003ci\u003e$250K Consulting\u003c\/i\u003e, \u003ci\u003eDPLYR\u003c\/i\u003e, \u003ci\u003e50,000 Random Numbers\u003c\/i\u003e, \u003ci\u003eTelecommunications Cost Management\u003c\/i\u003e, and \u003ci\u003eGDPR: A Short Primer\u003c\/i\u003e. 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.\u003c\/p\u003e \u003cp\u003ePrior 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.\u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 344\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 24, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493658325299,"sku":"9781484268759","price":82.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/RGhDa2pCa2JxRzZsM0hhZ3A1NFlVUT09.webp?v=1759960652","url":"https:\/\/www.vysn.com\/products\/cran-recipes-dplyr-stringr-lubridate-and-regex-in-r-paperback","provider":"VYSN","version":"1.0","type":"link"}