1sf/bird-sql-train-with-schema huggingface dataset:
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: What type of store is most popular in the South?
Evidence: in the South refers to Region = 'South'; type of store that is most popular refers to Max(Count(Type))
SQL: SELECT DISTINCT CASE WHEN MAX(T2.Population) THEN T2.Type END FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: To which region does the sales team that has used the WARE-MKL1006 warehouse the most times for its shipments belong?
Evidence: "WARE-MKL1006" is the WarehouseCode; most shipment to region refers to Max(Count(Region))
SQL: SELECT T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.WarehouseCode = 'WARE-MKL1006' GROUP BY T2.Region ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: In which city is the store with the highest sales order unit price located?
Evidence: highest sales order unit price refers to Max(Unit Price)
SQL: SELECT T2.`City Name` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE REPLACE(T1.`Unit Price`, ',', '') = ( SELECT REPLACE(T1.`Unit Price`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: How many online purchases did Ole Group make in May 2019?
Evidence: "Ole Group" is the Customer Names; online purchase refers to Sales Channel = 'Online'; made in May 2019 refers to OrderDate LIKE '5/%/19'
SQL: SELECT SUM(CASE WHEN T1.`Sales Channel` = 'Online' AND T2.`Customer Names` = 'Ole Group' AND T1.OrderDate LIKE '5/%/19' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: How many stores with less need for products, and purchased through a distributor, are located in Washtenaw County?
Evidence: less need for products refers to Order Quantity = 1; purchased through a distributor refers to Sales Channel = 'Distributor'; 'Harri County' is the County
SQL: SELECT SUM(CASE WHEN T1.`Order Quantity` = 1 AND T1.`Sales Channel` = 'Distributor' AND T2.County = 'Washtenaw County' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: What is the least purchased product by stores in the city of Santa Clarita?
Evidence: least purchased product refers to Min(Count(Product Name)); 'Santa Clarita' is the City
SQL: SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Santa Clarita' GROUP BY T1.`Product Name` ORDER BY COUNT(T1.`Product Name`) ASC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: At what Latitude and Longitude is the store that has used the WARE-PUJ1005 warehouse the fewest times?
Evidence: WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode))
SQL: SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.WarehouseCode = 'WARE-PUJ1005' GROUP BY T2.StoreID ORDER BY COUNT(T1.WarehouseCode) ASC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: What percentage of sell orders on 04/04/2020 were for the state of New York?
Evidence: sales order on 04/04/2020 refers to OrderDate = '4/4/20'; 'New York' is  the City Name; percentage = Divide (Sum(OrderNumber where City Name = 'New York'), Count (OrderNumber)) * 100
SQL: SELECT CAST(SUM(CASE WHEN T2.State = 'New York' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate = '4/4/20'
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: What is the average land area of ​​the cities in which stores that purchased products for a unit price of 998.30 are located?
Evidence: average land area = Divide (Sum(Land Area), Count(Land Area))
SQL: SELECT AVG(T2.`Land Area`) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.`Unit Price` = '998.30'
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: What is the average household income in cities in the state of New Hampshire where there are stores of the type city?
Evidence: "New Hampshire" is the State; average household income = AVG(Household Income)
SQL: SELECT AVG(T2.`Household Income`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'New Hampshire' AND T2.Type = 'City'
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: How many sales teams are there in the Midwest?
Evidence: "Midwest" is the Region
SQL: SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Indicate order numbers with an order date after 1/1/2018.
Evidence: order date after 1/1/2018 refers to OrderDate > '1/1/2018'
SQL: SELECT DISTINCT T FROM ( SELECT CASE  WHEN OrderDate > '1/1/18' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: How many sales channels does the sales team have in the Midwest?
Evidence: "Midwest" is the Region
SQL: SELECT COUNT(T1.`Sales Channel`) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest'
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Which sales team has the other with the highest unit price?
Evidence: highest unit price refers to Max(Unit Price)
SQL: SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE REPLACE(T1.`Unit Price`, ',', '') = ( SELECT REPLACE(T1.`Unit Price`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Which regions have online sales channels that have the most discounts?
Evidence: most discount refers to Max(Discount Applied)
SQL: SELECT T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.`Sales Channel` = 'Online' ORDER BY T1.`Discount Applied` DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Which Apollo Ltd customer's order number has the most expensive unit price, indicating the order date?
Evidence: "Apollo Ltd" is the Customer Names; most expensive unit price refers to max(Unit Price)
SQL: SELECT T1.OrderNumber, T1.OrderDate FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Apollo Ltd' ORDER BY T1.`Unit Price` DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Provide order number, warehouse code of customers Elorac, Corp.
Evidence: "Elorac, Corp" is the Customer Names
SQL: SELECT DISTINCT T1.OrderNumber, T1.WarehouseCode FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Elorac, Corp'
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Name of customers who have ordered Cocktail Glasses by online sales channel.
Evidence: "Cocktail Glasses" is the Product Name; customer refers to Customer Names
SQL: SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.`Product Name` = 'Cocktail Glasses' AND T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T IS NOT NULL
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: Which store in Arizona has the most net profit?
Evidence: "Arizona" is the name of State; most net profit = Max(Subtract( Unit Price, Unit Cost))
SQL: SELECT T2.StoreID FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.State = 'Arizona' ORDER BY T1.`Unit Price` - T1.`Unit Cost` DESC LIMIT 1
Database: regional_sales
Tables: Customers, Products, Regions, Sales Team, Store Locations, Sales Orders
Columns (table index, column name): -1, *, 0, CustomerID, 0, Customer Names, 1, ProductID, 1, Product Name, 2, StateCode, 2, State, 2, Region, 3, SalesTeamID, 3, Sales Team, 3, Region, 4, StoreID, 4, City Name, 4, County, 4, StateCode, 4, State, 4, Type, 4, Latitude, 4, Longitude, 4, AreaCode, 4, Population, 4, Household Income, 4, Median Income, 4, Land Area, 4, Water Area, 4, Time Zone, 5, OrderNumber, 5, Sales Channel, 5, WarehouseCode, 5, ProcuredDate, 5, OrderDate, 5, ShipDate, 5, DeliveryDate, 5, CurrencyCode, 5, _SalesTeamID, 5, _CustomerID, 5, _StoreID, 5, _ProductID, 5, Order Quantity, 5, Discount Applied, 5, Unit Price, 5, Unit Cost
Question: How much more is the Florida store's computer product unit price than the Texas store?
Evidence: "Florida" and "Texas" are both the name of State; Computer product refers to Product Name = 'Computers; difference in unit price = Subtract (Unit Price where State = 'Florida', Unit Price where State = 'Texas')
SQL: SELECT SUM(CASE WHEN T3.State = 'Florida' THEN T2.`Unit Price` ELSE 0 END) - SUM(CASE WHEN T3.State = 'Texas' THEN T2.`Unit Price` ELSE 0 END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T1.`Product Name` = 'Computers'