R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R / Atmajitsinh Gohil.

"Quick answers to common problems."

Includes index.

Online resource; title from cover (Safari, viewed February 23, 2015).

R is an open source language for data analysis and graphics. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. It starts off with the basics of R plots and an introduction to heat maps and customizing them, before gradually taking you through creating interactive maps using the googleVis package, generating choropleth maps and contouring maps, bubble plots, and pie charts. You will then learn how to animate 2D and 3D plots in R. By the end of the book, you will be equipped with the key techniques to create impressive data visualizations with professional efficiency and precision.

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: A Simple Guide to R; Installing packages and getting help in R; Data types in R; Special values in R; Matrices in R; Editing a matrix in R; Data frames in R; Editing a data frame in R; Importing data in R; Exporting data in R; Writing a function in R; Writing if else statements in R; Basic loops in R; Nested loops in R; The apply, lapply, sapply, and tapply functions; Using par to beautify a plot in R; Saving plots; Chapter 2: Basic and Interactive Plots; Introduction

Introducing a scatter plotScatter plots with texts, labels, and lines; Connecting points in a scatter plot; Generating an interactive scatter plot; A simple bar plot; An interactive bar plot; A simple line plot; Line plot to tell an effective story; Generating an interactive Gantt/timeline chart in R; Merging histograms; Making an interactive bubble plot; Constructing a waterfall plot in R; Chapter 3: Heat Maps and Dendrograms; Introduction; Constructing a simple dendrogram; Creating dendrograms with colors and labels; Creating a heat map; Generating a heat map with customized colors

Generating an integrated dendrogram and heat mapCreating a three-dimensional heat map and a stereo map; Constructing a tree map in R; Chapter 4: Maps; Introduction; Introducing regional maps; Introducing choropleth maps; A guide to contour maps; Constructing maps with bubbles; Integrating text with maps; Introducing shapefiles; Creating cartograms; Chapter 5: The Pie Chart and its Alternatives; Introduction; Generating a simple pie chart; Constructing pie charts with labels; Creating donut plots and interactive plots; Generating a slope chart ; Constructing a fan plot

Chapter 6: Adding the Third DimensionIntroduction; Constructing a 3D scatter plot; Generating a 3D scatter plot with text; A simple 3D pie chart; A simple 3D histogram; Generating a 3D contour plot; Integrating a 3D contour and a surface plot; Animating a 3D surface plot; Chapter 7: Data in Higher Dimensions; Introduction; Constructing a sunflower plot; Creating a hexbin plot; Generating interactive calendar maps; Creating Chernoff faces in R; Constructing a coxcomb plot in R; Constructing network plots; Constructing a radial plot; Generating a very basic pyramid plot

Chapter 8: Visualizing Continuous DataIntroduction; Generating a candlestick plot; Generating interactive Candlestick plots; Generating a decomposed time series; Plotting a regression line; Constructing a box and whiskers plot; Generating a violin plot; Generating a quantile-quantile plot (QQ plot); Generating a density plot; Generating a simple correlation plot; Chapter 9: Visualizing Text and XKCD-style Plots; Introduction; Generating a word cloud; Constructing a word cloud from a document; Generating a comparison cloud; Constructing a correlation plot and a phrase tree

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