Pandas solution
Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time 
# Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\nimport pandas as pd\n\ndef sales_analysis(product: pd.DataFrame, sales: pd.DataFrame) -> pd.DataFrame:\n  data = product.merge(sales, how =\'left\', on = \'product_id\').query("sale_date < \'2019-01-01\' or sale_date>\'2019-03-31\' or sale_date.isnull()")\n  data_1 = product[[\'product_id\',\'product_name\']].query("~product_id.isin(@data[\'product_id\'])")\n  return data_1\n```
['Pandas']