A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database

A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database

AbstractTextbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to...

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Bibliographic Details
Main Authors: Dewi Amaliah, Dianne Cook, Emi Tanaka, Kate Hyde, Nicholas Tierney
Format: Article
Language:English
Published: Taylor & Francis Group 2022-09-01
Series:Journal of Statistics and Data Science Education
Subjects:
Data cleaning
Data tidying
Initial data analysis
Longitudinal data
NLSY79
Reproducible workflow
Online Access:https://www.tandfonline.com/doi/10.1080/26939169.2022.2094300

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https://www.tandfonline.com/doi/10.1080/26939169.2022.2094300

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