library(readr)
library(dplyr)
library(reprex)
library(tidyr)
pop_vs_soda <- read_csv("data-raw/pop_vs_soda/pop_vs_soda_raw.csv") %>%
mutate_if(is.character, as.factor) %>%
mutate(state = tolower(state)) %>%
pivot_longer(cols = c("pop","soda","coke","other"), names_to = "word_for_cola", values_to = "count") %>%
uncount(count) %>%
mutate(pop = (word_for_cola == "pop"))
# Save the final data
usethis::use_data(pop_vs_soda, overwrite = TRUE)
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