R for Data Science

R for Data Science
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 521
Release :
ISBN-10 : 9781491910368
ISBN-13 : 1491910364
Rating : 4/5 (364 Downloads)

Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


R for Data Science Related Books

R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

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 pac
Modern Data Science with R
Language: en
Pages: 853
Authors: Benjamin S. Baumer
Categories: Business & Economics
Type: BOOK - Published: 2021-03-31 - Publisher: CRC Press

DOWNLOAD EBOOK

From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents a
Introduction to Data Science
Language: en
Pages: 836
Authors: Rafael A. Irizarry
Categories: Mathematics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis ch
Doing Data Science in R
Language: en
Pages: 518
Authors: Mark Andrews
Categories: Social Science
Type: BOOK - Published: 2021-03-31 - Publisher: SAGE

DOWNLOAD EBOOK

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. In
Data Science in Education Using R
Language: en
Pages: 331
Authors: Ryan A. Estrellado
Categories: Education
Type: BOOK - Published: 2020-10-26 - Publisher: Routledge

DOWNLOAD EBOOK

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data sci