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Evaluating workout length

Personal trainers are looking to "right-size" the length of their classes by meeting their members where they're at. They'd like to better understand the average time that users spend in the gym for each workout type. This will help them determine the correct length for each class type.

Diese Übung ist Teil des Kurses

Data Types and Functions in Snowflake

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Anleitung zur Übung

  • Create a CTE called workout_durations that returns the gym_id, workout_type, and calculated workout_length from the CORE_GYM.visits table.
  • Pivot the results to create a result set that shows the average workout_length for each gym and workout type.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

-- Create a CTE called workout_durations to prepare data to be pivoted
___ ___ ___ (
    SELECT
        gym_id,
        workout_type,
        DATEDIFF(MINUTES, checkin_time, checkout_time) AS workout_length
    ___ ___.___
)

SELECT
    *
FROM workout_durations

-- Pivot the results, find the average workout length for each gym and workout type
___(
    ___(___) 
    ___ ___ IN (ANY ORDER BY workout_type)
);
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