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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

Introduction


Time is continuous and we observe that, with changes in time, observations change, patterns emerge, and so do our results and conclusions. Our objective with visualizing time series or continuous data is to display visualizations that assist readers in understanding the magnitude and direction of the series. We have discussed interactive bar charts in the recipe An interactive bar plot in Chapter 2, Basic and Interactive Plots, and they provide us with details, which are as follows:

  • When in the past the stock price of Microsoft was the lowest

  • How often the higher prices are followed by higher prices or a dip

  • How a stock's price reacts to different events such as recession, dividend announcements, quarterly results, or significant economic news

Similar information can also be studied using calendar maps and line plots discussed in Chapter 7, Data in Higher Dimensions, and Chapter 2, Basic and Interactive Plots, respectively.

One of the objectives of generating an effective visualization...

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