Efficient R Programming with the Tidyverse
- 4.4
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Brief Introduction
Take your R programming skills to the next level with the core tidyverse packages of dplyr, tidyr, ggplot2 and magrittrDescription
Take your R programming skills to the next level with this short course on the tidyverse!
Do you feel you have a basic knowledge of R but don't yet have the tools or confidence to tackle everyday data science problems? Still turning to MS Excel to manipulate, format and visualise data? Then look no further.
Aimed at beginners who have a basic understanding of R, this course introduces some of the core tools of the tidyverse. It covers a step-by-step guide to the most important functions offered by some of the tidyverse packages, providing students with a comprehensive toolkit to address common data science tasks.
The course covers the following areas:
1) Data manipulation with dplyr (filtering, sorting, creating new variables, summarising data, joining data sets, selecting columns/rows)
2) Data reformatting with tidyr (gathering variables, spreading out variables, separating data in cells)
3) Data visualisation with ggplot2 (scatterplots, boxplots, bar charts, line charts, panels)
4) Linking code efficiently using the magrittr forward pipe operator
Requirements
- Requirements
- Familiarity with the RStudio interface
- Be able to install and load packages
- Basic knowledge of data structures in R (vectors, matrices, dataframes, numbers, text characters)
- Basic knowledge of common R operators (assignment, addition, subtraction, and, or, equals, not equals)
- Very basic awareness of a function call in R and the concept of arguments of a function
Adam Hayward
4.4 Raiting
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