Calculate Compressed Mean
[]
['Create Table if Not Exists Orders ( order_id int, item_count int, order_occurrences int)', 'Truncate table Orders', "insert into Orders (order_id, item_count, order_occurrences) values ('10', '1', '500')", "insert into Orders (order_id, item_count, order_occurrences) values ('11', '2', '1000')", "insert into Orders (order_id, item_count, order_occurrences) values ('12', '3', '800')", "insert into Orders (order_id, item_count, order_occurrences) values ('13', '4', '1000')"]
{"mysql": ["Create Table if Not Exists Orders ( order_id int, item_count int, order_occurrences int)"], "mssql": ["Create Table Orders ( order_id int, item_count int, order_occurrences int)"], "oraclesql": ["Create Table Orders ( order_id int, item_count int, order_occurrences int)"], "database": true, "name": "compressed_mean", "postgresql": ["CREATE TABLE Orders (\n  order_id SERIAL PRIMARY KEY,\n  item_count INT,\n  order_occurrences INT\n);\n"], "pythondata": ["Orders = pd.DataFrame([], columns=['order_id', 'item_count', 'order_occurrences']).astype({'order_id':'Int64', 'item_count':'Int64', 'order_occurrences':'Int64'})\n"], "database_schema": {"Orders": {"order_id": "INT", "item_count": "INT", "order_occurrences": "INT"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']