[Télécharger] R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (English Edition) de Hadley Wickham,Garrett Grolemund Pdf Ebook
Télécharger R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (English Edition) de Hadley Wickham,Garrett Grolemund Livres En Ligne
Télécharger "R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (English Edition)" de Hadley Wickham,Garrett Grolemund En Ligne
Auteur : Hadley Wickham,Garrett Grolemund
Catégorie : Boutique Kindle,Ebooks Kindle,Ebooks en langues étrangères
Broché : * pages
Éditeur : *
Langue : Français, Anglais
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.You’ll learn how to:Wrangle—transform your datasets into a form convenient for analysisProgram—learn powerful R tools for solving data problems with greater clarity and easeExplore—examine your data, generate hypotheses, and quickly test themModel—provide a low-dimensional summary that captures true "signals" in your datasetCommunicate—learn R Markdown for integrating prose, code, and results
Télécharger R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (English Edition) de Hadley Wickham,Garrett Grolemund Pdf Ebook
Welcome / R for Data Science ~ This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data .
22 Introduction / R for Data Science ~ 11 Data import; 12 Tidy data; 13 Relational data; 14 Strings; 15 Factors; 16 Dates and times; Program; 17 Introduction; 18 Pipes; 19 Functions; 20 Vectors; 21 Iteration; Model; 22 Introduction; 23 Model basics; 24 Model building; 25 Many models; Communicate; 26 Introduction; 27 R Markdown; 28 Graphics for communication; 29 R Markdown formats; 30 R Markdown workflow; View book source . 22 .
R for Data Science: Exercise Solutions - GitHub Pages ~ Welcome. This book contains the exercise solutions for the book R for Data Science, by Hadley Wickham and Garret Grolemund (Wickham and Grolemund 2017).. R for Data Science itself is available online at r4ds.had.co.nz, and physical copy is published by O’Reilly Media and available from amazon.
R for Data Science [Book] - O'Reilly Media ~ Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along .
Importing Data Into R - Easy Guides - Wiki - STHDA ~ R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund; Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurelien Géron; Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce & Andrew .
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