Teaching and Learning Strategy
We recommend you complete tasks marked as Your Turn the end of each section.
RStudio IDE; R language; Introduction to Visualization Principles; Data Wrangling and Visualising Data; R Markdown
What you will learn:
- Basic use of R/RStudio console
- Good habits for workflow
- Inputting and importing different data types
- R environment: record keeping
- Data classification
- Descriptive summary statistics
- dplyr’s key data manipulation verbs: select, mutate, filter, arrange and summarise/summarize
- to aggregate data by groups
- to chain data manipulation operations using the pipe operator
- basic principles of effective data visualisation
- to specify ggplot2 building blocks and combine them to create graphical display
- about the philosophy that guides ggplot2: grammatical elements (layers) and aesthetic mapping
- visualising data with maps
- authoring R Markdown reports; embedding R code; LaTex to incorporate mathematical expressions
- knitr to compile dynamic R code
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