E Book R Projects For Dummies

E Book R Projects For Dummies

E Book R Projects For Dummies
E Book R Projects For Dummies

Author(s): Joseph Schmuller
Series: Computer/Tech For Dummies
Publisher: For Dummies, Year: 2018
ISBN: 111944618X,9781119446187


Get the most out of the comprehensive R Toolkit

R Projects For Dummies offers a unique approach to learning by doing. You will increase the depth and breadth of your R skills by completing a variety of projects. With R graphics, interactive tools, and R learning tools, you'll learn to apply the broad capabilities of R in a range of scenarios. The depth of the project experience is unmatched by any other content online or in print. You can also increase your knowledge of stats along the way too!

R is a free tool and is the basis for a great deal of work in data science. It replaces costly, sometimes long, statistical programs to learn. One of the reasons is that you can use a few R commands to create complex analytics. Another is that easy-to-learn R graphics let you make the results of these analyzes publicly available.

This book will help you hone your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping and more.
Suitable for R users at all levels. It helps R programmers to plan and complete their own projects. Focuses on functions and packages. R explains how to perform complex analyzes with just a few commands.
If you are new to R or just want to improve your skills, R Projects For Dummies will help you complete your projects easily.


If you are like me, you think the best way to learn is by doing. Don't just read About something Practice it! If you want to be a builder, build. If you are Want to be a writer, then write. If you want to be a carpenter, then a carpenter.

(Yes, this name and action are the same. Carpenter is not a word.) She based this book on the philosophy of learning by doing. My goal for you Expand your R skill set with R to complete projects in a variety of fields, to Learn something about these areas, too.

Even with these noble intentions, a book like this can fall into a trap. Could Quickly become a cookbook: Use this package, use these functions, create Drawing - Presto, I've finished a project and it's time to move on.
I did not want to write this book. 
Instead, start with Part 2 (where where Starting Projects), each chapter does more than just guide you through the project. first, Show you some basic information about the subject area, then (mostly Classes) work through a small scale project in that region to get your feet
Dampened, then complete a larger project.

But the separation does not end there. At the end of each chapter, you will find a proposal
A project that challenges you to apply your new skills. For each of these, I am providing enough information just to get started. (Where necessary, I am included Tips on possible pitfalls.)

Along the way, you'll also encounter quick-suggested projects. These are based on Modifications to projects that you have already completed, which represent additional challenges for your growing skill set.
Another thing: each subject area can be the basis for a complete book, so I can Just scratch the surface of each one. Chapter 17 directs you towards that resource Provide more information.

About this book

This book is organized into six parts.

Part one: Trade Tools

Part 1 is all about R and RStudio. I discuss R functions, structures, and beams,
And I show you how to create a variety of graphics.
Part 2: User interaction

Projects start in Part 2
 where you learn to create responsive application For users. I discuss a shiny package to work with web browsers, and Shinydashboard package for creating dashboards.

Part 3: Machine learning
This is the longest part of the book. I start telling you about a university California-Irvine machine learning repository, which provides data sets for Projects. 
I am also discussing a rattle package for creating machine learning Applications.
Projects cover decision trees, random forest and support vectors Machinery, k- means conglomeration and neural networks.

Part four: Big data sets
The projects in Part 4 deal with larger data sets than they previously encountered the book. The first project is a customer segmentation analysis of more than 300,000 Online retailer clients. Follow-up analysis applies machine learning.

The second project analyzes a data set of more than 500,000 flights. Part Five: Maps and Pictures There are two projects in Part 5. 
The first is to map the airports location (along with other information) in one of the US states. The second shows you how to combine Animation with still image.

Part VI: Dozens part
The first chapter of Part 6 provides information about useful packages that can be Helping you with future projects. The second tells you where to find out more about Subject areas in this book.

What you can safely skip
Any reference book that gives you a lot of information, and this book is no exception. 
I meant everything was useful, but I didn't aim to achieve it on the same level. even if You are not deep in the topic, you can avoid paragraphs marked with  Art stuff icon, and you can also skip side bars.

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