Closed topepo closed 5 years ago
A step to convert NA values to "unknown" in categorical data, such as
NA
library(tidymodels) #> Registered S3 methods overwritten by 'ggplot2': #> method from #> [.quosures rlang #> c.quosures rlang #> print.quosures rlang #> Registered S3 method overwritten by 'xts': #> method from #> as.zoo.xts zoo #> ── Attaching packages ────────────────────────────────────────────────────────────────────────────────── tidymodels 0.0.2 ── #> ✔ broom 0.5.1 ✔ purrr 0.3.2 #> ✔ dials 0.0.2 ✔ recipes 0.1.5.9000 #> ✔ dplyr 0.8.0.1 ✔ rsample 0.0.4 #> ✔ ggplot2 3.1.1 ✔ tibble 2.1.3 #> ✔ infer 0.4.0 ✔ yardstick 0.0.2 #> ✔ parsnip 0.0.2.9000 #> ── Conflicts ───────────────────────────────────────────────────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter() masks stats::filter() #> ✖ dplyr::lag() masks stats::lag() #> ✖ recipes::step() masks stats::step() table(credit_data$Job, useNA = "always") #> #> fixed freelance others partime <NA> #> 2805 1024 171 452 2
Created on 2019-06-29 by the reprex package (v0.2.1)
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A step to convert
NA
values to "unknown" in categorical data, such asCreated on 2019-06-29 by the reprex package (v0.2.1)