Find Peak Calling Hours for Each City
[]
['Create table If Not Exists Calls (caller_id int, recipient_id int, call_time datetime, city varchar(40))', 'Truncate table Calls', "insert into Calls (caller_id, recipient_id, call_time, city) values ('8', '4', '2021-08-24 22:46:07', 'Houston')", "insert into Calls (caller_id, recipient_id, call_time, city) values ('4', '8', '2021-08-24 22:57:13', 'Houston')", "insert into Calls (caller_id, recipient_id, call_time, city) values ('5', '1', '2021-08-11 21:28:44', 'Houston')", "insert into Calls (caller_id, recipient_id, call_time, city) values ('8', '3', '2021-08-17 22:04:15', 'Houston')", "insert into Calls (caller_id, recipient_id, call_time, city) values ('11', '3', '2021-08-17 13:07:00', 'New York')", "insert into Calls (caller_id, recipient_id, call_time, city) values ('8', '11', '2021-08-17 14:22:22', 'New York')"]
{"mysql": ["Create table If Not Exists Calls (caller_id int, recipient_id int, call_time datetime, city varchar(40))"], "mssql": ["Create table Calls (caller_id int, recipient_id int, call_time datetime, city varchar(40))"], "oraclesql": ["Create table Calls (caller_id int, recipient_id int, call_time date, city varchar(40))", "ALTER SESSION SET nls_date_format='YYYY-MM-DD HH24:MI:SS'"], "database": true, "name": "peak_calling_hours", "pythondata": ["Calls = pd.DataFrame([], columns=['caller_id', 'recipient_id', 'call_time', 'city']).astype({'caller_id':'Int64', 'recipient_id':'Int64', 'call_time':'datetime64[ns]', 'city':'object'})\n"], "postgresql": ["CREATE TABLE IF NOT EXISTS Calls (caller_id INT,recipient_id INT,call_time TIMESTAMP,city VARCHAR(40))"], "database_schema": {"Calls": {"caller_id": "INT", "recipient_id": "INT", "call_time": "DATETIME", "city": "VARCHAR(40)"}}}
{"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']