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: Name the products via wholesale channel of the store under Pacific/Honolulu time zone.
Evidence: products refers to Product Name; via wholesale channel refers to Sales Channel = 'Wholesale'
SQL: SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.`Time Zone` = 'Pacific/Honolulu' AND T2.`Sales Channel` = 'Wholesale' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` T3 ON T3.StoreID = T2._StoreID ) 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: List the order numbers and product names which were ordered on 6th June, 2018.
Evidence: ordered on 6th June 2018 refers to OrderDate = '6/5/18'
SQL: SELECT DISTINCT OrderNumber, `Product Name` FROM ( SELECT IIF(T2.OrderDate = '6/6/18', T2.OrderNumber, NULL) AS "OrderNumber" , IIF(T2.OrderDate = '6/6/18', T1.`Product Name`, NULL) AS "Product Name" FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE OrderNumber IS NOT NULL AND `Product Name` 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: Find the average yearly order by customer Weimei Corp for 2018, 2019 and 2020.
Evidence: "Weimei Corp" is the Customer Names; in 2018, 2019 and 2020 refers to SUBSTR (OrderDate, -2) IN ('18', '19', '20') : Average order = Divide (Count (OrderNumber), 3)
SQL: SELECT COUNT(T1.OrderNumber) / 3 FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE (T1.OrderDate LIKE '%/%/18' AND T2.`Customer Names` = 'Weimei Corp') OR (T1.OrderDate LIKE '%/%/19' AND T2.`Customer Names` = 'Weimei Corp') OR (T1.OrderDate LIKE '%/%/20' AND T2.`Customer Names` = 'Weimei 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: Calculate the average monthly order and percentage of warehouse "WARE-NMK1003" in 2019. Among them, mention number of orders for floor lamps.
Evidence: "WARE-NMK1003" is the WarehouseCode; in 2019 refers to SUBSTR(OrderDate, -2) = '19'; average = Divide (Count (OrderNumber where SUBSTR(OrderDate, -2) = '19'), 12); Percentage = Divide (Count(OrderNumber where WarehouseCode = 'WARE-NMK1003'), Count(OrderNumber)) * 100; 'Floor Lamps' is the Product Name; number of orders refers to Count(OrderNumber)
SQL: SELECT CAST(SUM(CASE WHEN T2.WarehouseCode = 'WARE-NMK1003' THEN 1 ELSE 0 END) AS REAL) / 12 , CAST(SUM(CASE WHEN T2.WarehouseCode = 'WARE-NMK1003' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.OrderNumber), COUNT(CASE WHEN T1.`Product Name` = 'Floor Lamps' AND T2.WarehouseCode = 'WARE-NMK1003' THEN T2.`Order Quantity` ELSE NULL END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T2.OrderDate LIKE '%/%/19'
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 the procured dates for the customer whose ID is 11.
Evidence: ID is 11 refers to _CustomerID = 11;
SQL: SELECT DISTINCT T FROM ( SELECT IIF(_CustomerID = 11, ProcuredDate, NULL) 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 orders through distributor were for the minimum quantity?
Evidence: "Distributor" is the Sales Channel; minimum quantity refers to Min(Order Quantity)
SQL: SELECT SUM(CASE WHEN `Order Quantity` = 1 AND `Sales Channel` = 'Distributor' THEN 1 ELSE 0 END) FROM `Sales Orders`
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: List by ID all sales teams that have sold products at a 10% discount in store.
Evidence: ID refers to _SalesTeamID; 10% discount refers to Discount Applied = 0.1; 'In-Store' is the Sales Channel
SQL: SELECT DISTINCT T FROM ( SELECT CASE  WHEN `Discount Applied` = '0.1' AND `Sales Channel` = 'In-Store' THEN _SalesTeamID 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 Borough-type stores located in the city of Brooklyn have a population of less than 3 million?
Evidence: "Brooklyn" is the CityName; population of less than 3 million refers to Population < 3000000
SQL: SELECT SUM(CASE WHEN Population < 3000000 AND Type = 'Borough' AND `City Name` = 'Brooklyn' THEN 1 ELSE 0 END) FROM `Store Locations`
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 states are in the Midwest region?
SQL: SELECT COUNT(DISTINCT T) FROM ( SELECT CASE  WHEN Region = 'Midwest' THEN State ELSE NULL END AS T FROM Regions ) 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: What are the top 10 products with the highest net profit?
Evidence: products refers to Product Name; highest net profit = Max(Subtract(Unit Price, Unit Cost))
SQL: SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID GROUP BY T1._ProductID ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 10
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 the name of the customers who have placed an order of 3 units in February 2018.
Evidence: name of customer refers to Customer Names; order of 3 unit refers to Order Quantity = 3; in February 2018 refers to OrderDate LIKE '2/%/18'
SQL: SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`Order Quantity` = 3 AND T2.OrderDate LIKE '2/%/18' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) 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: What are the names of the sales teams that have served to customer Apotheca, Ltd?
Evidence: name of sales team refers to Sales Team; 'Apotheca, Ltd' is the Customer Names
SQL: SELECT DISTINCT T3.`Sales Team` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T1.`Customer Names` = 'Apotheca, Ltd'
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 regions are the stores that have shipped products through the WARE-UHY1004 warehouse?
Evidence: "WARE-UHY1004" is the WarehouseCode
SQL: SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.WarehouseCode = 'WARE-UHY1004' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode INNER JOIN `Sales Orders` T3 ON T3._StoreID = T2.StoreID ) 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: List all the cities where Shawn Torres sells Audio products.
Evidence: "Shawn Torres" is the name of Sales Team; Audio product refers to Product Name = 'Audio'
SQL: SELECT T FROM ( SELECT DISTINCT CASE  WHEN T4.`Product Name` = 'Audio' AND T3.`Sales Team` = 'Shawn Torres' THEN T1.`City Name` ELSE NULL END AS T FROM `Store Locations` T1 INNER JOIN `Sales Orders` T2 ON T2._StoreID = T1.StoreID INNER JOIN `Sales Team` T3 ON T3.SalesTeamID = T2._SalesTeamID INNER JOIN Products T4 ON T4.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: Lists the name of the product and customer who placed an order on 10/21/18 and it was delivered on 11/21/19.
Evidence: ordered on 10/21/18 refers to OrderDate = '10/21/18'; delivered on 11/21/19 refers to DeliveryDate = '11/21/19'; name of product refers to Product Name
SQL: SELECT T3.`Product Name`, T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.OrderDate = '10/21/18' AND T2.DeliveryDate = '11/21/19'
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 procured products on October 27, 2018, in the city of Oregon?
Evidence: October 27, 2018 refers to ProcuredDate = '10/27/18'; 'Oregon' is the State
SQL: SELECT SUM(CASE WHEN T1.ProcuredDate = '10/27/18' AND T2.`City Name` = 'Orlando' 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 sales channels are used the most in the 3 places with the highest median income?
Evidence: highest median income refers to Max(Median Income)
SQL: SELECT `Sales Channel` FROM ( SELECT T1.`Sales Channel` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 3 ) GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) 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: List the 5 sales teams that have made sales with the highest net profits.
Evidence: highest net profit = Max(Subtract (Unit Price, Unit Cost))
SQL: SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 5
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 highest discount applied by the store located in a city of the state of Colorado whose land area is 111039036.
Evidence: highest discount applied refers to Max(Discount Applied)
SQL: SELECT MAX(T1.`Discount Applied`) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.State = 'Colorado' AND T2.`Land Area` = 111039036
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 different time zones are there in the Northeast region?
SQL: SELECT COUNT(DISTINCT T2.`Time Zone`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast'