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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Exploring with interactive 3D scatter plots

When exploring data, sometimes it's useful to look at a 3D scatter plot. However, if the scatter plot is fixed (meaning that you cannot move it around), it may not be easy to interpret. Having an interactive plot (one you can move around) to see different angles of the data is very useful in these cases. These graphs don't normally go into static reports because they are hard to interpret correctly when fixed, but are very useful to do data exploration. Luckily, they are also very easy to create with the plot3d() function from the rgl package:

library(rgl)
plot3d(sales$PROTEIN, sales$CARBS, sales$FAT)
plot3d(sales$PROFIT_RATIO, sales$PRICE, sales$QUANTITY)

Once you create these plots in your computer, remember to move them around with your mouse! The first time you do this, it's pretty amazing. In this case, you can see...

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