R for Data Science

Download free course R for Data Science, pdf file on 520 pages by Garrett Grolemund, Hadley Wickham.

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.

Table of contents

Introduction
Introduction
Data visualisation
Workflow: basics
Data transformation
Workflow: scripts
Exploratory Data Analysis
Workflow: projects
Introduction
Tibbles
Data import
Tidy data
Relational data
Strings
Factors
Dates and times
Introduction
Pipes
Functions
Vectors
Iteration
Introduction
Model basics
Model building
Many models
Introduction
R Markdown
Graphics for communication
R Markdown formats
R Markdown workflow

Pages :	520
Size :
File type :	PDF
Downloads:	67
Created:	2022-02-03
License:	CC BY-NC-ND
Author(s):	Garrett Grolemund, Hadley Wickham

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others Computer science, Data recovery Tutorials

Open Data Structures

Statistics with Julia

What Is Data Science?

Introduction to OKRs

Others related eBooks about R for Data Science

Think DSP

If you understand basic mathematics and know how to program with Python, you're ready to d..., download free DSP tutorial in PDF (176 pages) created by ....

Microsoft Dynamics NAV Administration

Microsoft Dynamics NAV is an Enterprise Resource Planning (ERP) software product that inte..., download free NAV Administration tutorial in PDF (190 pages) created by Amit Sachdev ....

Introduction to Mathematical Logic

This book explores the principal topics of mathematical logic. It covers propositional logic, first-order logic, first-order number theory, axiomatic set theory, and the theory of computability. The text also discusses the major results of Gödel, Church, Kleene, Rosser, and Turing....

Node.js Notes for Professionals

Download free course Node.js Notes for Professionals, pdf file on 333 pages by Stack Overflow Community....

Visual Studio for Mac Succinctly

Download free course Visual Studio for Mac Succinctly, pdf file on 107 pages by Alessandro Del Sole....

HoloLens Succinctly

Download free course HoloLens Succinctly, pdf file on 85 pages by Lars Klint....

Laravel 5 Official Documentation

Download free course Laravel 5 Official Documentation, pdf file on 1211 pages by Gary Blankenship....

A Friendly Introduction to Mathematical Logic

At the intersection of mathematics, computer science, and philosophy, mathematical logic examines the power and limitations of formal mathematical thinking. In this expansion of Leary's user-friendly 1st edition, readers with no previous study in the field are introduced to the basics of model theor...

Docker for Developers

Download free course Docker for Developers, pdf file on 153 pages by Rafael Gomes....

Learning MongoDB

Download free course Learning MongoDB, pdf file on 86 pages by Stack Overflow Community....