DSCA_data_wrangling_with_r
Data Wrangling with R
Version 1.0
Course Summary
Data wrangling covers the basics of setting up a project in R, importing and exporting data from different file formats, tidying and quality checking data, reshaping data, and working with dates and times using lubridate.
Learning Outcome
NA
Lead Developer
Laurie Baker
Course Reviewer(s)
Pending
Intended Audience
All
Learning Objective
Participants will:-
- The Beginning
- Learn how to creating Projects in RStudio
- Learn the packages associated with importing and exporting different datasets
- Tidying and quality checking
- Learn to tidying column names with janitor.
- Learn to visualise missing data with naniar and vidat.
- Learn to identify and removing duplicates using janitor and dplyr
- Learn to detect outliers using dplyr and summary.
- Reshaping Data
- Learn to reshape data using pivot_longer and pivot_wider
- Learn to arrange data
- Learn to unite and separate columns using unite and separate
- Dates and times
- Learn to work with dates and times and timezones using lubridate
Course Type
- E learning - Not Available
- Self learning - Available
- Face to face - Available
Skill Level
Intermediate
Pre requisite summary
Introduction to R
Slides and Exercises
Artwork by @AllisonHorst
Course Instructions
Access the Course website on Github Pages.
Follow the independent learning tutorial. Or the slides and complete the exercises.
To view the presenter notes in the slides, type ‘p’. If you would like to edit or adapt the slides you will need to install the package Xaringan and follow the instructions in the link.