Ranking hot weather
You are working on a global climate report and need to determine the hottest temperatures for various weather stations. Hawaii is next on your list to analyze and rank the hottest months on record.
Rank the HI weather station data by t_monthly_max. Rank 1 should appear first and have the highest temperature. Temperatures that are the same should have the same rank, but no ranking levels should be skipped.
You will need to join temperatures_monthly and temperature_stations.
This exercise is part of the course
Time Series Analysis in PostgreSQL
Exercise instructions
- Rank
t_monthly_maxfor theHIweather station by joining the two tables; rank1should have the highest temperature.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
-- Rank the highest temperatures in Hawaii
SELECT
ts.state,
year_month,
t_monthly_max,
___ OVER (___) AS rank
___ AS tm
___ AS ts
USING(station_id)
___
ORDER BY rank;