{"product_id":"r-4-data-science-quick-reference-von-thomas-mailund","title":"R 4 Data Science Quick Reference","description":"In 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.\u003cbr\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..  \u003cbr\u003e\n                \u003cb\u003eWhat You'll Learn\u003c\/b\u003e\n                \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\n                \u003cb\u003eWho This Book Is For\u003c\/b\u003e\n                \u003cbr\u003eProgrammers new to R's data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781484287798\"\u003e\u003ch3\u003eA Pocket Guide to APIs, Libraries, and Packages\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9781484287798","offer_id":40680557641821,"sku":"9781484287798","price":37.44,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/c7c20cab-324d-4854-b52b-cf4e5dd667c4.jpg?v=1775707636","url":"https:\/\/shop.autorenwelt.de\/en\/products\/r-4-data-science-quick-reference-von-thomas-mailund","provider":"Autorenwelt Shop","version":"1.0","type":"link"}