{"product_id":"9781484287798","title":"R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages","description":"\u003ch1\u003eR 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages\u003c\/h1\u003e \u003ch2\u003eMailund, Thomas\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003eIn this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003eWith \u003ci\u003eR 4 Data Science Quick Reference\u003c\/i\u003e, 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. All source code used in the book is freely available on GitHub..  \u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cul\u003e\n\u003cli\u003eImplement applicable R 4 programming language specification features\u003c\/li\u003e\n\u003cli\u003eImport data with readr\u003c\/li\u003e\n\u003cli\u003eWork with categories using forcats, time and dates with lubridate, and strings with stringr\u003c\/li\u003e\n\u003cli\u003eFormat data using tidyr and then transform that data using magrittr and dplyr\u003c\/li\u003e\n\u003cli\u003eWrite functions with R for data science, data mining, and analytics-based applications\u003c\/li\u003e\n\u003cli\u003eVisualize data with ggplot2 and fit data to models using modelr\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003eProgrammers new to R's data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  \u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-10-29\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484287798\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-8780-4\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 232\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":44677032378508,"sku":"9781484287798","price":34.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484287798.jpg?v=1776868023","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781484287798","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}