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Cleaning Data with R and the Tidyverse in Swirl

Author(s): Rachel Hartnett

Mount St. Mary's University

1221 total view(s), 979 download(s)

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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

  1. R
  2. data analysis
  3. data manipulation
  4. RStudio
  5. Management Of Data
  6. Swirl

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Inclusive Pedagogy for Life Science Education
  5. QUBES Universal Design Tagging Ontology
Contents:
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1,221

The above numbers reflect non-unique views of the page, which may include multiple views in the same day by the same user.

Total Downloads

979

The above numbers reflect non-unique user access to the linked content, which includes but is not limited to primary access button clicks, bundle downloads, and supporting documents.

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