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R Data Mining

You're reading from R Data Mining

Product type Book

Published in Nov 2017

Publisher Packt

ISBN-13 9781787124462

Pages 442 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (22) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

Why to Choose R for Your Data Mining and Where to Start

A First Primer on Data Mining Analysing Your Bank Account Data

The Data Mining Process - CRISP-DM Methodology

Keeping the House Clean – The Data Mining Architecture

How to Address a Data Mining Problem – Data Cleaning and Validation

Looking into Your Data Eyes – Exploratory Data Analysis

Our First Guess – a Linear Regression

A Gentle Introduction to Model Performance Evaluation

Don't Give up – Power up Your Regression Including Multiple Variables

A Different Outlook to Problems with Classification Models

The Final Clash – Random Forests and Ensemble Learning

Looking for the Culprit – Text Data Mining with R

Sharing Your Stories with Your Stakeholders through R Markdown

Epilogue

Dealing with Dates, Relative Paths and Functions

Visualizing your data with ggplot2

It is beyond the scope of this book to provide a comprehensive and exhaustive explanation of the data visualization principles and techniques, but in the remaining sections of this chapter, we are going to learn the basic elements of this powerful discipline and how to apply them to our data through the means of the ggplot2 package.

Basic data visualization principles

As is often the case, when dealing with data visualization we should start from the final objective to work out the best way to accomplish it. The main objective of data visualization is to effectively communicate an insight contained within a given set of data. We can elaborate a bit more on this. The point here is not to show what your data visualization software is able to do or to impress your audience with bells and whistles. This may seem obvious, but we all know that when the add a neon blinking light to your plot option appears in front of you, it is really hard to resist it.

It is therefore...

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