Advertisement
gk231192

Untitled

Jun 7th, 2024
268
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
R 0.48 KB | None | 0 0
  1. # Identifying and handling outliers in the Wind and Temp columns using the IQR method
  2. Q1 <- quantile(airquality$Wind, 0.25, na.rm = TRUE)
  3. Q3 <- quantile(airquality$Wind, 0.75, na.rm = TRUE)
  4. IQR <- Q3 - Q1
  5.  
  6. # Define bounds
  7. lower_bound <- Q1 - 1.5 * IQR
  8. upper_bound <- Q3 + 1.5 * IQR
  9.  
  10. # Adjusting outliers
  11. airquality$Wind <- ifelse(airquality$Wind < lower_bound | airquality$Wind > upper_bound, NA, airquality$Wind)
  12. # Replace outliers with NA or another value based on a chosen strategy
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement