empty_as_na | R Documentation |
"NA" are often easier to see and deal with compared to empty values. Further testing is needed for this function
df # or empty_as_na(df)
df |
the dataframe or tibble to be modified |
df with empty values replaced with "NA"
## Not run: require(tibble) col1 <- seq(1, 10, 1) col2 <- c("", 3, 4, "", 6, 7, 8, "", 10, "") my_df <- tibble(col1 = col1, col2 = col2) empty_as_na(df = my_df) ## End(Not run)
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