https://github.com/PacktPublishing/R-Data-Visualization-Word-Clouds-and-3D-Plots

R Data Visualization - Word Clouds and 3D Plots, published by Packt
https://github.com/PacktPublishing/R-Data-Visualization-Word-Clouds-and-3D-Plots

Last synced: 4 months ago
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R Data Visualization - Word Clouds and 3D Plots, published by Packt

• Host: GitHub
• URL: https://github.com/PacktPublishing/R-Data-Visualization-Word-Clouds-and-3D-Plots
• Owner: PacktPublishing
• License: mit
• Created: 2019-05-24T12:16:38.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-01-20T09:05:55.000Z (about 4 years ago)
• Last Synced: 2024-08-01T13:35:36.684Z (7 months ago)
• Language: JavaScript
• Size: 3.68 MB
• Stars: 1
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# R Data Visualization - Word Clouds and 3D Plots [Video]

This is the code repository for [R Data Visualization - Word Clouds and 3D Plots [Video]](https://www.packtpub.com/big-data-and-business-intelligence/r-data-visualization-word-clouds-and-3d-plots-video?utm_source=github&utm_medium=repository&utm_campaign=9781788393454), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the video course from start to finish.

## About the Video Course

R is an open source language for data analysis and graphics. It is platform-independent and allows users to load various packages and develop their own to interpret data better. This video is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R.

We start off with the basics of R plots and an introduction to heat maps and customizing them. After this, we gradually take you through creating interactive maps using the googleVis package. Finally, we generate chloropleth maps and contouring maps, bubble plots, and pie charts.

What You Will Learn





	Create presentations and learn the basics of creating apps in R.



	Introduce users to basic R functions and data manipulation techniques while creating meaningful visualizations.



	Add elements, text, animation, and colors to your plot to make sense of data



	Generate sunflower plots, hexbin plots, Chernoff faces, and so on.



	Master network, radial, and coxcomb plots.	   





## Instructions and Navigation

### Assumed Knowledge


To fully benefit from the coverage included in this course, you will need:


If you are a data journalist, academician, student, or freelance designer and want to learn about data visualization, this video is for you. A basic knowledge of R programming is expected.

### Technical Requirements


This course has the following software requirements:


RStudio

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