You are given two tables. `users` - `user_id` BIGINT PRIMARY KEY - `country_code` STRING `calls` - `call_id` BIGINT PRIMARY KEY - `caller_id` BIGINT - `recipient_id` BIGINT - `call_type` STRING — values include `audio` and `video` - `initiated_at` TIMESTAMP - `duration_seconds` INT Assume each row in `calls` represents one completed call session. Both `caller_id` and `recipient_id` reference `users.user_id`. Use UTC for all timestamps. Interpret `last 7 days` as `initiated_at >= CURRENT_TIMESTAMP - INTERVAL '7' DAY` and `initiated_at < CURRENT_TIMESTAMP`. Write SQL for both tasks: 1. Count the number of distinct users who initiated more than 10 calls in the last 7 days. - Required output column: `initiators_over_10_calls` 2. Among users in Great Britain (`country_code = 'gb'`), compute the percentage of active users who had more than 50 video calls in the last 7 days, counting both calls they placed and calls they received. - Define an active GB user as a GB user with at least one call of any type in the last 7 days, either as caller or recipient. - Required output columns: `active_gb_users`, `gb_users_over_50_video_calls`, `pct_gb_active_users_over_50_video_calls`