Calculate the Influence of Each Salesperson
[]
['Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))', 'Create table If Not Exists Customer (customer_id int, salesperson_id int)', 'Create table If Not Exists Sales (sale_id int, customer_id int, price int)', 'Truncate table Salesperson', "insert into Salesperson (salesperson_id, name) values ('1', 'Alice')", "insert into Salesperson (salesperson_id, name) values ('2', 'Bob')", "insert into Salesperson (salesperson_id, name) values ('3', 'Jerry')", 'Truncate table Customer', "insert into Customer (customer_id, salesperson_id) values ('1', '1')", "insert into Customer (customer_id, salesperson_id) values ('2', '1')", "insert into Customer (customer_id, salesperson_id) values ('3', '2')", 'Truncate table Sales', "insert into Sales (sale_id, customer_id, price) values ('1', '2', '892')", "insert into Sales (sale_id, customer_id, price) values ('2', '1', '354')", "insert into Sales (sale_id, customer_id, price) values ('3', '3', '988')", "insert into Sales (sale_id, customer_id, price) values ('4', '3', '856')"]
{"mysql": ["Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))", "Create table If Not Exists Customer (customer_id int, salesperson_id int)", "Create table If Not Exists Sales (sale_id int, customer_id int, price int)"], "mssql": ["Create table Salesperson (salesperson_id int, name varchar(30))", "Create table Customer (customer_id int, salesperson_id int)", "Create table Sales (sale_id int, customer_id int, price int)"], "oraclesql": ["Create table Salesperson (salesperson_id int, name varchar(30))", "Create table Customer (customer_id int, salesperson_id int)", "Create table Sales (sale_id int, customer_id int, price int)"], "database": true, "name": "calculate_influence", "pythondata": ["Salesperson = pd.DataFrame([], columns=['salesperson_id', 'name']).astype({'salesperson_id':'Int64', 'name':'object'})", "Customer = pd.DataFrame([], columns=['customer_id', 'salesperson_id']).astype({'customer_id':'Int64', 'salesperson_id':'Int64'})", "Sales = pd.DataFrame([], columns=['sale_id', 'customer_id', 'price']).astype({'sale_id':'Int64', 'customer_id':'Int64', 'price':'Int64'})"], "postgresql": ["Create table If Not Exists Salesperson (salesperson_id int, name varchar(30))", "Create table If Not Exists Customer (customer_id int, salesperson_id int)", "Create table If Not Exists Sales (sale_id int, customer_id int, price int)"], "database_schema": {"Salesperson": {"salesperson_id": "INT", "name": "VARCHAR(30)"}, "Customer": {"customer_id": "INT", "salesperson_id": "INT"}, "Sales": {"sale_id": "INT", "customer_id": "INT", "price": "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']