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R for Data Science Cookbook (n)

You're reading from   R for Data Science Cookbook (n) Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

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Product type Paperback
Published in Jul 2016
Publisher
ISBN-13 9781784390815
Length 452 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu)
Author Profile Icon Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
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Toc

Table of Contents (14) Chapters Close

Preface 1. Functions in R FREE CHAPTER 2. Data Extracting, Transforming, and Loading 3. Data Preprocessing and Preparation 4. Data Manipulation 5. Visualizing Data with ggplot2 6. Making Interactive Reports 7. Simulation from Probability Distributions 8. Statistical Inference in R 9. Rule and Pattern Mining with R 10. Time Series Mining with R 11. Supervised Machine Learning 12. Unsupervised Machine Learning Index

Creating interactive graphics with ggvis


In order to interact with the reports figures, one can create an interactive graphic with ggvis. In this recipe, we demonstrate how to build our first interactive plot from the real estate dataset.

Getting ready

Before starting this recipe, you should download the RealEstate.csv dataset from the following GitHub link:

https://github.com/ywchiu/rcookbook/blob/master/chapter8/RealEstate.csv

How to do it…

Please perform the following steps to create an interactive plot with ggvis:

  1. Install and load the ggvis package:

    > install.packages("ggvis")
    > library(ggvis)
    
  2. Import RealEstate.csv into an R session:

    > house <- read.csv('RealEstate.csv', header=TRUE)
    > str(house)
    'data.frame': 781 obs. of  8 variables:
     $ MLS        : int  132842 134364 135141 135712 136282 136431 137036 137090 137159 137570 ...
     $ Location   : Factor w/ 54 levels " Arroyo Grande",..: 21 44 44 39 50 42 50 50 39 22 ...
     $ Price      : num  795000 399000 545000 909000 109900 ...
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