Difference between revisions of "Lesson07"
		
		
		
		
		
		
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| * [https://plot.ly/r/ Plotly R Open Source Graphing Library] | * [https://plot.ly/r/ Plotly R Open Source Graphing Library] | ||
| * [https://plotly-r.com/index.html Interactive web-based data visualization with R, plotly, and shiny] | * [https://plotly-r.com/index.html Interactive web-based data visualization with R, plotly, and shiny] | ||
| + | * [https://www.r-graph-gallery.com/index.html The R Graph Gallery] | ||
| = DataCamp Courses =   | = DataCamp Courses =   | ||
Latest revision as of 20:30, 6 March 2020
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Programming Analytical Graphics in R
Content
- R, RStudio and RMarkdown 101
- Introducing The Grammar of Graphics
- ggplot: The Layered Grammar of Graphics
- The Essential Grammatical Elements in ggplot2
- Designing Data-drive Graphics for Analysis with ggplot2
- Extending ggplot2
Readings
Core Readings
- A Layered Grammar of Graphics
- Chapter 3 Data Visualization, Chapter 7 Exploratory Data Analysis and Chapter 28 Graphics for communication of R for Data Science.
Additional Readings
- Wickham, Hadley (2016) ggplot2: Elegant Graphics for Data Analysis, Springer.
- R Graphics Cookbook, 2nd edition
- Data Visualization: A practical introduction
- Data Visualization with ggplot2
- ggplot2 介紹
- 第 9 章 数据可视化
- Plotly R Open Source Graphing Library
- Interactive web-based data visualization with R, plotly, and shiny
- The R Graph Gallery
DataCamp Courses
- Data Visualization with ggplot2 (Part 1)
- Data Visualization with ggplot2 (Part 2)
- Data Visualization with ggplot2 (Part 3)
- Interactive Data Visualization with plotly in R
- Intermediate Interactive Data Visualization with plotly in R

