[PDF] Télécharger R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

# [PDF] Télécharger R for Data Science: Import, Tidy, Transform, Visualize, and Model Data - R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Livre par Hadley Wickham a été vendu pour $39.99 chaque copie. Le livre publié par O'Reilly Media. Il contient 522 le nombre de pages. Inscrivez-vous maintenant pour accéder à des milliers de livres disponibles en téléchargement gratuit. L'inscription était gratuite.
Titre :R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Nom de fichier : r-for-data-science-import-tidy-transform-visualize-and-model-data.pdf
ISBN 10: 1491910399
Nombre de pages:522 pages
Auteur:Hadley Wickham
Éditeur:O'Reilly Media
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Epub
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Pdf
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Audiobook

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 analysis
• Program—learn powerful R tools for solving data problems with greater clarity and ease
• Explore—examine your data, generate hypotheses, and quickly test them
• Model—provide a low-dimensional summary that captures true "signals" in your dataset
• Communicate—learn R Markdown for integrating prose, code, and results

[PDF] Télécharger R for Data Science: Import, Tidy, Transform, Visualize, and Model Data [EPUB] gratuitement

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