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- # Example data frame with NA values
- data$Income[c(2, 4)] <- NA
- # Removing rows with NA
- data_clean <- na.omit(data)
- # Imputing missing values with median
- library(dplyr)
- data_imputed <- data %>%
- mutate(Income = ifelse(is.na(Income), median(Income, na.rm = TRUE), Income))
- print(data_imputed)
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