Follow the money!
Partitioning data in a window function is what makes these tools so unique! Now, you're being tasked with ranking charging sessions for each location based on the cost of the charge. This could help to identify which charging stations drive the most revenue and inform operational changes.
Este ejercicio forma parte del curso
Window Functions in Snowflake
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
SELECT
user_id,
charging_station_id,
charging_cost,
-- Create a window function to rank each session based on charging cost
___() ___(
___ ___ ___ DESC
) AS expensive_charges
FROM ELECTRIC_VEHICLES.charging;