# Create a dataframe flights$\_$weather by joining the tables flights and weather using appropriate key and display only year, month, day, origin, dep$\_$time and temp. Use the pipe operator and filter only those rows where the origin is EWR and temp is less than $32,$ and dep$\_$delay is greater than $300$

library$($nycflights$13)$

flights$\_$weather flights $\%>\%$

$?($weather$,?))\%>\%$

$?($year$,$month, day,origin, dep$\_$time, temp, dep$\_$delay$)\%>\%$

$?($origin$?,$ temp?, dep$\_$delay?$)$

flights weather

fiFi