Table: prompts +-------------+---------+ | Column Name | Type | +-------------+---------+ | user_id | int | | prompt | varchar | | tokens | int | +-------------+---------+ (user_id, prompt) is the primary key (unique value) for this table. Each row represents a prompt submitted by a user to an AI system along with the number of tokens consumed. Write a solution to analyze AI prompt usage patterns based on the following requirements: For each user, calculate the total number of prompts they have submitted. For each user, calculate the average tokens used per prompt (Rounded to 2 decimal places). Only include users who have submitted at least 3 prompts . Only include users who have submitted at least one prompt with tokens greater than their own average token usage. Return the result table ordered by average tokens in descending order, and then by user_id in ascending order. The result format is in the following example. Example: Input: prompts table: +---------+--------------------------+--------+ | user_id | prompt | tokens | +---------+--------------------------+--------+ | 1 | Write a blog outline | 120 | | 1 | Generate SQL query | 80 | | 1 | Summarize an article | 200 | | 2 | Create resume bullet | 60 | | 2 | Improve LinkedIn bio | 70 | | 3 | Explain neural networks | 300 | | 3 | Generate interview Q&A | 250 | | 3 | Write cover letter | 180 | | 3 | Optimize Python code | 220 | +---------+--------------------------+--------+ Output: +---------+---------------+------------+ | user_id | prompt_count | avg_tokens | +---------+---------------+------------+ | 3 | 4 | 237.5 | | 1 | 3 | 133.33 | +---------+---------------+------------+ Explanation: User 1 : Total prompts = 3 Average tokens = (120 + 80 + 200) / 3 = 133.33 Has a prompt with 200 tokens, which is greater than the average Included in the result User 2 : Total prompts = 2 (less than the required minimum) Excluded from the result User 3 : Total prompts = 4 Average tokens = (300 + 250 + 180 + 220) / 4 = 237.5 Has prompts with 300 and 250 tokens, both greater than the average Included in the result The Results table is ordered by avg_tokens in descending order, then by user_id in ascending order