Abstract
After spending five minutes doing data science, everyone knows that data preparation, including validation, is the most time-consuming step of any analysis. Several cleanup packages have been developed, including janitor and validate. Figure 19-1, from the validate package, shows a convenient graphic of three mtcars variables. It meets the data science trifecta: simple, quick, and handy.
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- 1.
https://cran.r-project.org/web/packages/validate/validate.pdf, p. 37, accessed on January 29, 2021.
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Yarberry, W. (2021). Validation of Data. In: CRAN Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6876-6_19
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DOI: https://doi.org/10.1007/978-1-4842-6876-6_19
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