Cleaning Data with R and the Tidyverse in Swirl

Name: Cleaning Data with R and the Tidyverse in Swirl
Published: 2020-06-09
License: CC Attribution-ShareAlike 4.0 International

Rachel Hartnett

doi:10.25334/SKPR-CB95

Cleaning Data with R and the Tidyverse in Swirl

Author(s): Rachel Hartnett

Mount St. Mary's University

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Summary:

The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is designed specifically to deal with missing data.

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 09 Jun 2020 doi:10.25334/SKPR-CB95 - cite this

Keywords

R
data analysis
data manipulation
RStudio
Management Of Data
Swirl

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Inclusive Pedagogy for Life Science Education
QUBES Universal Design Tagging Ontology

Contents:

Cleaning_Data.swc(SWC | 12 KB)
Final Swirl Lesson Plan_Cleaning Data.pdf(PDF | 141 KB)
GitHub - swirldev/R_Programming_E: Team swirl's R Programming Course with Email Notifications
DataDryad link to dataset used
Blog post on data cleaning with R and the tidyverse: detecting missing values
QUBES - Resources: Importing Data into R
QUBES - Resources: Sampling Distributions and Null Distributions: two swirl lessons in R
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Cleaning Data with R and the Tidyverse in Swirl

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