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Hands-On Data Science with R

You're reading from   Hands-On Data Science with R Techniques to perform data manipulation and mining to build smart analytical models using R

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Length 420 pages
Edition 1st Edition
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Authors (4):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Author Profile Icon Doug Ortiz
Doug Ortiz
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Author Profile Icon Ricardo Anjoleto Farias
Ricardo Anjoleto Farias
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with Data Science and R FREE CHAPTER 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

Summary

Lots of graphical packages were covered in this chapter: ggplot2, ggvis, plotly, rCharts, and googleVis. With ggplot2 alone, you can easily draw high-quality plots. Combine it with other packages such as shiny or plotly to make interactive graphics.

The remaining packages—ggvis, plotly, rCharts, and googleVis—are specialized in making interactive graphics. These are great for applications of all kinds and web pages. Even academic journals are encouraging writers to craft and publish interactive plots.

This chapter drew bubble plots and a choropleth using the different packages. There are lots of kind of plots we could have drawn using these same packages. Some examples are as follows:

  • Heatmaps
  • Scatterplots
  • Bar plots
  • Lollipop plots
  • Pizza charts

Crafting visualization is a great skill. Unless you are only dealing with databases—architecture and/or...

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