Solution for this:
Intuition\n Describe your first thoughts on how to solve this problem. \nTo follow basic concepts step by step and get the solution.\n\n# Approach\n Describe yo
# Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nTo follow basic concepts step by step and get the solution.\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\nWe select the product_id from the Prices table and calculate the average_price.\n\nTo find the average selling price for each product, we divide the total revenue (calculated above) by the total number of units sold (also calculated above). This is done using the expression (SUM(u.units * p.price) / SUM(u.units)).\n\nWe use a LEFT JOIN to ensure that all products from the Prices table are included in the result, even if there are no corresponding entries in the UnitsSold table.\n\nIFNULL function is used to handle cases where there are no units sold for a product within the specified date range, returning 0 as the average price in such cases.\n\nBETWEEN is used to filter results based on a specified range of values, u.purchase_date BETWEEN start_date AND end_date filters the rows in the UnitsSold table where the purchase_date falls within the range specified by start_date and end_date.\n\nIn the above code Aliases () are used as product_id belongs to both the tables and without them it is difficult to judge which table\'s product_id is being referred to. (i.e product_id will be ambiguous)\n# Complexity\n- Time complexity:1363 ms\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n<!-- \n- Space complexity:0B -->\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\n# Write your MySQL query statement below\nSELECT p.product_id, IFNULL(ROUND(SUM(units*price)/SUM(units),2),0) AS average_price\nFROM Prices p LEFT JOIN UnitsSold u\nON p.product_id = u.product_id AND\nu.purchase_date BETWEEN start_date AND end_date\ngroup by product_id\n```
['MySQL', 'MS SQL Server']