Document Type
Article
Publication Date
2018
Publication Title
Technology Innovations in Statistics Education
Abstract
As statistics and data science instructors, we often seek to use data in our courses that are rich, real, realistic, and relevant. To this end we created the fivethirtyeight R package of data and code behind the stories and interactives at the data journalism website FiveThirtyEight.com. After a discussion on the conflicting pedagogical goals of "minimizing prerequisites to research" (Cobb 2015) while at the same time presenting students with a realistic view of data as it exists "in the wild," we articulate how a desired balance between these two goals informed the design of the package. The details behind this balance are articulated as our proposed "Tame data principles for introductory statistics and data science courses." Details of the package's construction and example uses are included as well.
Volume
11
Issue
1
ISSN
1933-4214
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights
© the authors
Recommended Citation
Kim, Albert Y.; Ismay, Chester; and Chunn, Jennifer, "The fivethirtyeight R package: ‘Tame Data’ Principles for Introductory Statistics and Data Science Courses" (2018). Mathematics Sciences: Faculty Publications, Smith College, Northampton, MA.
https://scholarworks.smith.edu/mth_facpubs/47
Comments
Archived as published.
https://escholarship.org/uc/item/0rx1231m
Originally published under the University of California's Open Access Policy on July 24, 2013