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- library(tidyverse)
- # library(lubridate)
- # library(stringr)
- # library(forcats)
-
- # Load the csv data and tidy it ----
- read_csv("Data/.csv") %>%
- select() %>%
- filter() %>%
- mutate() %>%
- dmap_if(is.character, factor) %>%
- # Save the tidy-ed data ----
- saveRDS(file = "Data/tidy.rds")
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