events +----+---------+------------+-------+---------------------+ | id | user_id | event_type | value | timestamp | +----+---------+------------+-------+---------------------+ | 1 | 42 | click | 3.5 | 2024-03-10 10:00:00 | | 2 | 17 | view | 1.0 | 2024-03-10 10:01:05 | | 3 | 42 | purchase | 7.0 | 2024-03-10 10:02:30 | | 4 | 99 | click | 2.3 | 2024-03-10 10:04:11 | | 5 | 17 | purchase | 4.7 | 2024-03-10 10:05:45 | +----+---------+------------+-------+---------------------+ ##### Scenario You receive an API response that is a Python list of JSON objects, each describing a user event coming from a mobile-app funnel. ##### Question Write Python code that, given a list like events = [{"id":1,"user_id":42,"event_type":"click","value":3.5,"timestamp":"2024-03-10 10:00:00"}, ...], produces a dictionary mapping each user_id to the average value of their events. Return the result sorted by descending average value. ##### Hints Use defaultdict / pandas groupby; iterate only once if possible.