Difference between revisions of "Lesson07"
Jump to navigation
Jump to search
Line 50: | Line 50: | ||
==Additional Readings== | ==Additional Readings== | ||
+ | * Wickham, Hadley (2016) [https://link-springer-com.libproxy.smu.edu.sg/book/10.1007%2F978-3-319-24277-4 ggplot2: Elegant Graphics for Data Analysis], Springer. | ||
* [https://r-graphics.org/index.html R Graphics Cookbook, 2nd edition] | * [https://r-graphics.org/index.html R Graphics Cookbook, 2nd edition] | ||
* [http://socviz.co/ Data Visualization: A practical introduction] | * [http://socviz.co/ Data Visualization: A practical introduction] |
Revision as of 07:31, 6 March 2020
|
|
|
|
|
Programming Data Visualisation 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.
- Plotly R Open Source Graphing Library
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
- Interactive web-based data visualization with R, plotly, and shiny
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