Top Three Wineries 
[]
['Create table if Not Exists Wineries ( id int, country varchar(60), points int, winery varchar(60))', 'Truncate table Wineries', "insert into Wineries (id, country, points, winery) values ('103', 'Australia', '84', 'WhisperingPines')", "insert into Wineries (id, country, points, winery) values ('737', 'Australia', '85', 'GrapesGalore')", "insert into Wineries (id, country, points, winery) values ('848', 'Australia', '100', 'HarmonyHill')", "insert into Wineries (id, country, points, winery) values ('222', 'Hungary', '60', 'MoonlitCellars')", "insert into Wineries (id, country, points, winery) values ('116', 'USA', '47', 'RoyalVines')", "insert into Wineries (id, country, points, winery) values ('124', 'USA', '45', 'Eagle'sNest')", "insert into Wineries (id, country, points, winery) values ('648', 'India', '69', 'SunsetVines')", "insert into Wineries (id, country, points, winery) values ('894', 'USA', '39', 'RoyalVines')", "insert into Wineries (id, country, points, winery) values ('677', 'USA', '9', 'PacificCrest')"]
{"mysql": ["Create table if Not Exists Wineries ( id int, country varchar(60), points int, winery varchar(60))"], "mssql": ["Create table Wineries ( id int, country varchar(60), points int, winery varchar(60))"], "oraclesql": ["Create table  Wineries ( id int, country varchar(60), points int, winery varchar(60))"], "database": true, "name": "top_three_wineries", "postgresql": ["CREATE TABLE IF NOT EXISTS Wineries (\n  id INT,\n  country VARCHAR(60),\n  points INT,\n  winery VARCHAR(60)\n);"], "pythondata": ["Wineries = pd.DataFrame([], columns=['id', 'country', 'points', 'winery']).astype({'id':'Int64', 'country':'object', 'points':'Int64', 'winery':'object'})\n"], "database_schema": {"Wineries": {"id": "INT", "country": "VARCHAR(60)", "points": "INT", "winery": "VARCHAR(60)"}}}
{"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']