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- # Calculate the percentage of missing data in the Ozone and Solar.R columns
- ozone_missing_percentage <- sum(is.na(airquality$Ozone)) / nrow(airquality) * 100
- solar_missing_percentage <- sum(is.na(airquality$Solar.R)) / nrow(airquality) * 100
- print(paste("Ozone missing data percentage:", ozone_missing_percentage))
- print(paste("Solar.R missing data percentage:", solar_missing_percentage))
- # Decision on whether to impute or remove data
- # This is a placeholder for discussion. Students should justify their choice based on percentages.
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