Difference between revisions of "Lesson 8"
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= Content = | = 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 | ||
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==Core Readings== | ==Core Readings== | ||
* [https://vita.had.co.nz/papers/layered-grammar.html A Layered Grammar of Graphics] | * [https://vita.had.co.nz/papers/layered-grammar.html A Layered Grammar of Graphics] | ||
+ | * [https://r4ds.had.co.nz/data-visualisation.html Chapter 3 Data Visualization], [https://r4ds.had.co.nz/exploratory-data-analysis.html Chapter 7 Exploratory Data Analysis] and [https://r4ds.had.co.nz/graphics-for-communication.html Chapter 28 Graphics for communication] of '''R for Data Science'''. | ||
* [https://plot.ly/r/ Plotly R Open Source Graphing Library] | * [https://plot.ly/r/ Plotly R Open Source Graphing Library] | ||
Latest revision as of 07:28, 6 March 2020
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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
- 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