Difference between revisions of "Lesson 8"
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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] | ||
Revision as of 09:11, 4 March 2020
IS428 Visual Analytics for Business Intelligence
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Programming Data Visualisation in R
Content
- Introduction to Tidyverse
- Data wrangling with tidyr and dplyr
- Programming data visualisation using ggplot2
- Programming interactive data visualisation with plotly R
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
