dsca_data_wrangling_with_r's Introduction

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

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.

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