library(tidyverse)
library(dplyr)
myfun <- function(df){
lapcols <- lapply(df, class)
newdf = data.frame(row.names = 1:length(colnames(df)))
for(x in length(colnames(df))){
vars_unique = df[[x]]
}
newdf |>
mutate(var_names = colnames(df)) |>
mutate(class1 = lapcols) |>
mutate(var_unique = length(unique(df[vars_unique]))) |>
mutate(var_na = length(is.na(df[vars_unique])))
}
head(mtcars)
print(myfun(df = mtcars))
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