library( dplyr)
# Sample dataset
df <- data.frame ( Name = c( "Alice" , "Bob" , "Charlie" , "David" ) ,
Age = c( 25 , 30 , 35 , 40 ) ,
Score = c( 90 , 85 , 88 , 92 ) )
# Using pipes
df %>%
filter( Age > 30 ) %>% # Keep only Age > 30
select( Name, Score) %>% # Select columns Name and Score
summarize( avg_score = mean( Score) ) # Compute average score
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