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-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many sales teams are there in the Midwest?
| SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Indicate order numbers with an order date after 1/1/2018.
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many sales channels does the sales team have in the Midwest?
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which sales team has the other with the highest unit price?
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which regions have online sales channels that have the most discounts?
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which Apollo Ltd customer's order number has the most expensive unit price, indicating the order date?
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Provide order number, warehouse code of customers Elorac, Corp.
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Name of customers who have ordered Cocktail Glasses by online sales channel.
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which store in Arizona has the most net profit?
| 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 schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How much more is the Florida store's computer product unit price than the Texas store?
| 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'; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Among sales teams in Midwest region, which sales team has an order quantity greater than 5?
| SELECT DISTINCT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest' AND T1.`Order Quantity` > 5; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Please indicate store id in the state of California that have been applied 20% discount in store.
| SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.State = 'California' AND T1.`Sales Channel` = 'In-Store' AND T1.`Discount Applied` = 0.2 THEN T2.StoreID END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- List the name of the customer with the most number of order quantity from 2018 to 2020.
| SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID WHERE T2.OrderDate LIKE '%/%/18' OR T2.OrderDate LIKE '%/%/19' OR T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Order Quantity` DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Please indicate total order quantity of product Candles and calculate the percentage of such product among all the orders.
| SELECT SUM(CASE WHEN T1.`Product Name` = 'Candles' THEN T2.`Order Quantity` ELSE 0 END), CAST(SUM(CASE WHEN T1.`Product Name` = 'Candles' THEN T2.`Order Quantity` ELSE 0 END) AS REAL) * 100 / SUM(T2.`Order Quantity`) 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; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which region is Joshua Bennet located in?
| SELECT T FROM ( SELECT DISTINCT CASE WHEN `Sales Team` = 'Joshua Bennett' THEN Region ELSE NULL END AS T FROM `Sales Team` ) WHERE T IS NOT NULL; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the store id of the store located in the most populous county?
| SELECT CASE WHEN MAX(Population) THEN StoreID END FROM `Store Locations`; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many sales teams are there in the Midwest?
| SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the type of store located in the city with the highest amount of water area?
| SELECT CASE WHEN MAX(`Water Area`) THEN Type END FROM `Store Locations`; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many online orders were shipped during the month of June 2018?
| SELECT SUM(IIF(ShipDate LIKE '6/%/18' AND `Sales Channel` = 'Online', 1, 0)) FROM `Sales Orders`; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How much is the discount applied to the order with the highest unit price?
| SELECT `Discount Applied` FROM `Sales Orders` WHERE REPLACE(`Unit Price`, ',', '') = ( SELECT REPLACE(`Unit Price`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the name of the product with the highest net profit?
| SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- In the Northeast region, what is the average household income for each city located in the state with the highest number of stores?
| SELECT AVG(T2.`Household Income`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast' GROUP BY T2.State ORDER BY COUNT(T2.StoreID) DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- In which region can you find the stores located in the state whose median income is no more than 30,000?
| SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.`Median Income` < 30000 THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode ) WHERE T IS NOT NULL; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- In the West, how many stores are there in the city whose land area is below 20,000,000?
| SELECT SUM(CASE WHEN T1.Region = 'West' AND T2.`Land Area` < 20000000 THEN 1 ELSE 0 END) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the name of the customer who purchased the product with the highest net profiit?
| SELECT `Customer Names` FROM ( SELECT T1.`Customer Names`, T2.`Unit Price` - T2.`Unit Cost` AS "net profit" FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY `net profit` DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- In 2019, how many orders were shipped by the sales team with the highest number of orders in the said year? Provide the name of the sales team.
| SELECT COUNT(T1.OrderNumber), T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderDate LIKE '%/%/19' AND T1.ShipDate LIKE '%/%/19' GROUP BY T2.`Sales Team` ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Among the products with an order quantity of no less than 5 that was shipped in the month of May 2019, what is the name of the product with the lowest net profit?
| SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Order Quantity` > 5 AND ShipDate LIKE '5/%/19' ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') ASC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the detailed coordinates of the store where the product with the 4th highest profit were purchased from?
| SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 3, 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many orders were shipped by the sales team with the highest amount of shipped orders in 2020? Give the name of the said sales team.
| SELECT COUNT(T1.OrderNumber), T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.ShipDate LIKE '%/%/20' GROUP BY T2.`Sales Team` ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Between 2018 to 2020, what is the average amount of shipped orders per year under Carl Nguyen?
| SELECT CAST(COUNT(T1.OrderNumber) AS REAL) / 3 FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/18') OR (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/19') OR (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/20'); |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the amount of discount applied to the product with the highest net profit and what is the name of the said product?
| SELECT T1.`Unit Price` * T1.`Discount Applied`, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What are the names of the top 3 customers who paid the highest amount of price per order after discount?
| SELECT `Customer Names` FROM ( SELECT T1.`Customer Names` , REPLACE(T2.`Unit Price`, ',', '') * T2.`Order Quantity` - REPLACE(T2.`Unit Price`, ',', '') * T2.`Discount Applied` AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY T DESC LIMIT 3; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Which sales channel was most preferred in commercializing products in January 2020 based on the number of orders placed?
| SELECT `Sales Channel` FROM `Sales Orders` WHERE OrderDate LIKE '1/%/20' GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Name the product that was registered in the sales order 'SO - 0005951'.
| SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.OrderNumber = 'SO - 0005951' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE T IS NOT NULL; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Identify the store location and sales team who processed the sales order 'SO - 0001004'.
| SELECT T3.`Sales Team`, T1.`City Name` FROM `Store Locations` AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._StoreID = T1.StoreID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T2.OrderNumber = 'SO - 0001004'; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- Identify the top customer of the store located in Gilbert, Arizona based on net profit associated with the customer relationship in 2019.
| SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Gilbert' AND T2.ProcuredDate LIKE '%/%/19' ORDER BY REPLACE(T2.`Unit Price`, ',', '') - REPLACE(T2.`Unit Cost`, ',', '') DESC LIMIT 1; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- How many sales orders were processed by the store located in Chandler in 2020?
| SELECT SUM(CASE WHEN T2.`City Name` = 'Chandler' AND T1.OrderDate LIKE '%/%/20' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What is the average household income of Glendale?
| SELECT AVG(`Household Income`) FROM `Store Locations` WHERE `City Name` = 'Glendale'; |
-- Database schema
| Customers : CustomerID [ INTEGER ] primary_key , Customer Names [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , Product Name [ TEXT ] | Regions : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | Sales Team : SalesTeamID [ INTEGER ] primary_key , Sales Team [ TEXT ] , Region [ TEXT ] | Store Locations : StoreID [ INTEGER ] primary_key , City Name [ TEXT ] , County [ TEXT ] , StateCode [ TEXT ] Store Locations.StateCode = Regions.StateCode , State [ TEXT ] , Type [ TEXT ] , Latitude [ REAL ] , Longitude [ REAL ] , AreaCode [ INTEGER ] , Population [ INTEGER ] , Household Income [ INTEGER ] , Median Income [ INTEGER ] , Land Area [ INTEGER ] , Water Area [ INTEGER ] , Time Zone [ TEXT ] | Sales Orders : OrderNumber [ TEXT ] primary_key , Sales Channel [ TEXT ] , WarehouseCode [ TEXT ] , ProcuredDate [ TEXT ] , OrderDate [ TEXT ] , ShipDate [ TEXT ] , DeliveryDate [ TEXT ] , CurrencyCode [ TEXT ] , _SalesTeamID [ INTEGER ] Sales Orders._SalesTeamID = Sales Team.SalesTeamID , _CustomerID [ INTEGER ] Sales Orders._CustomerID = Customers.CustomerID , _StoreID [ INTEGER ] Sales Orders._StoreID = Store Locations.StoreID , _ProductID [ INTEGER ] Sales Orders._ProductID = Products.ProductID , Order Quantity [ INTEGER ] , Discount Applied [ REAL ] , Unit Price [ TEXT ] , Unit Cost [ TEXT ] |
-- -- What was the best discount applied to sales orders in 2020?
| SELECT MAX(`Discount Applied`) FROM `Sales Orders` WHERE OrderDate LIKE '%/%/20'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the most consecutive games tied by Ebbsfleet as an away team in the 2008 season?
| SELECT COUNT(*) FROM matchs WHERE season = 2008 AND AwayTeam = 'Ebbsfleet' AND FTR = 'D'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Of all the divisions in the world, what percentage of them belong to England?
| SELECT CAST(COUNT(CASE WHEN country = 'England' THEN division ELSE NULL END) AS REAL) * 100 / COUNT(division) FROM divisions; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What percentage of games won, games lost and games drawn does Cittadella have as a home team in total?
| SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) / COUNT(HomeTeam) AS REAL) * 100, CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam), CAST(COUNT(CASE WHEN FTR = 'D' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam) FROM matchs WHERE HomeTeam = 'Cittadella'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Of all the teams that played as a team away against Caen in the 2010 season, which one has the highest winning percentage?
| SELECT AwayTeam FROM matchs WHERE HomeTeam = 'Caen' AND season = 2010 AND FTR = 'A' GROUP BY AwayTeam ORDER BY COUNT(AwayTeam) DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What percentage of matches played on 2005/07/30 belong to the F1 division?
| SELECT CAST(SUM(CASE WHEN Div = 'F1' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Div) FROM matchs WHERE Date = '2005-07-30' ; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What percentage of all tied games did the Sassuolo team play in?
| SELECT CAST(SUM(CASE WHEN HomeTeam = 'Sassuolo' OR AwayTeam = 'Sassuolo' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(FTR) FROM matchs WHERE FTR = 'D'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the percentage whereby the away team scored 2 goals during the 2017 seasons?
| SELECT CAST(SUM(CASE WHEN FTAG = 2 THEN 1 ELSE 0 END) / COUNT(FTAG) AS REAL) * 100 FROM matchs WHERE season = 2017; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the name of all the teams that played in the EFL League One division?
| SELECT T1.HomeTeam,T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'EFL League One' and T1.Div = 'E2' ; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many teams playing in divisions in Greece have ever scored 4 or more goals?
| SELECT COUNT(DISTINCT CASE WHEN T1.FTHG >= 4 THEN HomeTeam ELSE NULL end) + COUNT(DISTINCT CASE WHEN T1.FTAG >= 4 THEN AwayTeam ELSE NULL end) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Greece' ; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many matches played in the 2019 season of Scottish Championship league were ended with an equal result of 2-2?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T2.name = 'Scottish Championship' AND T1.FTAG = 2 AND T1.FTHG = 2; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which 2 Scottish teams scored 10 goals playing as a local team and in which seasons?
| SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Scotland' AND T1.FTHG = 10; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- From the Spanish LaLiga division in the 2017 season, which team won the most times as a local team and by what percentage?
| SELECT T1.HomeTeam HWHT , CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T2.country = 'Spain' AND T1.season = 2017; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many teams that played in the 2012 season belong to any of the English divisions and what percentage play in each of the divisions?
| SELECT ( SELECT COUNT(T1.Div) AS total FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 ) AS num , CASE WHEN 1 THEN T.result END AS percentage FROM ( SELECT 100.0 * COUNT(T1.Div) / ( SELECT COUNT(T1.Div) FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 ) AS result FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 GROUP BY T2.division ) AS T; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the highest final-time score across all divisions in the 2021 season? Which team was the team that made up that score?
| SELECT ( SELECT MAX(MAX(FTAG), MAX(FTHG)) FROM matchs WHERE season = 2021 ) AS T1, AwayTeam FROM matchs WHERE season = 2021 AND FTHG = T1 OR FTAG = T1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the name of the home team in division P1 with the highest final time goal in all seasons?
| SELECT HomeTeam FROM matchs WHERE Div = 'P1' AND season = 2021 ORDER BY FTHG DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What was the difference in home team and away team win percentages across all divisions in 2010?
| SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(FTR) - CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(FTR) DIFFERENCE FROM matchs WHERE season = 2010; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which division had the most draft matches in the 2008 season?
| SELECT Div FROM matchs WHERE season = 2008 AND FTR = 'D' GROUP BY Div ORDER BY COUNT(FTR) DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team won the match in the EC division on January 20, 2008 at home?
| SELECT HomeTeam FROM matchs WHERE Div = 'EC' AND Date = '2008-01-20' AND FTR = 'H'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the name of the division in which Club Brugge and Genk competed on September 13, 2009?
| SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2009-09-13' and T1.HomeTeam = 'Club Brugge' AND T1.AwayTeam = 'Genk'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many matches were played in the Scottish Premiership division from 2006 to 2008?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Scottish Premiership' AND (T1.season BETWEEN 2006 AND 2008); |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- In which division was the match between Hibernian, the away team, and Hearts, the home team, played? To which country does this division belong?
| SELECT DISTINCT T2.division,T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.HomeTeam = 'Hearts' AND T1.AwayTeam = 'Hibernian'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which away team in the division of Bundesliga has the highest final time goals?
| SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'Bundesliga' ORDER BY T1.FTAG DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Please provide the names of any three away teams that competed in the Italian divisions.
| SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.country = 'Italy' LIMIT 3; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What is the name of the division that has had the lowest number of draft matches in the 2019 season?
| SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T1.FTR = 'D' GROUP BY T2.division ORDER BY COUNT(FTR) LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many times did Valencia's home team win in the LaLiga division?
| SELECT COUNT(T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T1.HomeTeam = 'Valencia' AND T1.FTR = 'H'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- In how many matches in the Seria A division did both teams have equal goals?
| SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Seria A' AND T1.FTR = 'D'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many football divisions does England have?
| SELECT COUNT(division) FROM divisions WHERE country = 'England'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What's the name of the football division in the Netherlands?
| SELECT name FROM divisions WHERE country = 'Netherlands'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Who is the winner of the game happened on 2009/10/10, between "East Fife" and "Dumbarton"?
| SELECT CASE WHEN FTR = 'H' THEN 'East Fife' ELSE 'Dumbarton' END WINNER FROM matchs WHERE Date = '2009-10-10' AND HomeTeam = 'East Fife' AND AwayTeam = 'Dumbarton'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What was the final score for the game Bursaspor vs Denizlispor on 2009/4/26?
| SELECT FTHG, FTAG FROM matchs WHERE Date = '2009-04-26' AND HomeTeam = 'Bursaspor' AND AwayTeam = 'Denizlispor'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- When did the first match that score more than 10 goals happen?
| SELECT MIN(Date) FROM matchs WHERE FTHG + FTAG > 10; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- For the Ligue 2 game that made the most goals, who is the winner of that game?
| SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam ELSE T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Ligue 2' ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many Away Victories happened on 2016/3/27 in the LaLiga 2 division?
| SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga 2' AND T1.Date = '2016-03-27' AND T1.FTR = 'A'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many draw games happened on 2018/8/7 for National League?
| SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'National League' AND T1.Date = '2018-08-07' AND T1.FTR = 'D'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which country had the game that Away team made the most goals?
| SELECT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division GROUP BY T2.country ORDER BY SUM(T1.FTAG) DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- For a game had a score of 1-8 in the year of 2011, what division was that game in? Give the full name of the division.
| SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2011 AND T1.FTHG = 1 AND T1.FTAG = 8; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which division had the most games with more than 5 total field goals on 2020/2/22? Give the full name of the division?
| SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-02-22' AND T1.FTAG + T1.FTHG > 5 ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Give the full name of the divison that had the most 0-0 games.
| SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.FTAG = 0 AND T1.FTHG = 0 GROUP BY T2.division ORDER BY COUNT(T1.FTAG) DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many Scottish League One games took place on the day that "Pro Vercelli" and "Pescara"had a 5-2 game?
| SELECT COUNT(T1.Date) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Scottish League One' AND T1.Date = ( SELECT Date FROM matchs WHERE FTHG = 5 AND FTAG = 2 AND HomeTeam = 'Pro Vercelli' AND AwayTeam = 'Pescara' ); |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- List the number of games that ended up with 5-0 in Greece.
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Greece' AND T1.FTHG = 5 AND T1.FTAG = 0; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which country did Bradford Team belongs to?
| SELECT DISTINCT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.HomeTeam = 'Bradford' OR T1.AwayTeam = 'Bradford'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many Eredivisie teams have played in 2008?
| SELECT COUNT(DISTINCT T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Eredivisie' AND T1.season = 2008; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What's the home win ratio of the Bundesliga division in 2021?
| SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Bundesliga'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- For all the games ended up with 1-1, what percentage of them are from Liga NOS division?
| SELECT CAST(COUNT(CASE WHEN T2.name = 'Liga NOS' THEN T1.Div ELSE NULL END) AS REAL) * 100 / COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.FTHG = 1 AND FTAG = 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many matches were held during the 2021 season's Premier League?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Premier League'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team was the home team in the match of the Bundesliga division on 2020/10/2?
| SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team won the match of the Bundesliga division on 2020/10/2?
| SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam WHEN T1.FTR = 'A' THEN T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team has the most victories as the home team in matches of the Bundesliga division?
| SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'H' GROUP BY T1.HomeTeam ORDER BY COUNT(T1.FTR) DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many times did the team Werder Bremen win as the away team in matches of the Bundesliga division?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.AwayTeam = 'Werder Bremen' AND T1.FTR = 'A'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many matches of the Bundesliga division ended with an away victory in the 2021 season?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'A' AND T1.season = 2021; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Of the matches in all seasons of the Bundesliga division, how many of them ended with a tie?
| SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'D'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many home victories does the Bundesliga division have in more or less than the Premier League division in the 2021 season?
| SELECT COUNT(CASE WHEN T2.name = 'Bundesliga' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.name = 'Premier League' THEN 1 ELSE NULL END) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Please list the home teams in the matches of the Bundesliga division that ended with a home victory in the 2021 season.
| SELECT DISTINCT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H' AND T2.name = 'Bundesliga'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team had more home victories in the 2021 season's matches of the Bundesliga division, Augsburg or Mainz?
| SELECT CASE WHEN COUNT(CASE WHEN T1.HomeTeam = 'Augsburg' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.HomeTeam = ' Mainz' THEN 1 ELSE NULL END) > 0 THEN 'Augsburg' ELSE 'Mainz' END FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H'; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- Which team had the most final-time home-team goals in the 2021 season's matches of the Bundesliga division?
| SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021 ORDER BY T1.FTHG DESC LIMIT 1; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- How many final-time home-team goals were there in total in all the matches of the Bundesliga division in the 2021 season?
| SELECT SUM(T1.FTHG) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021; |
-- Database schema
| divisions : division [ TEXT ] primary_key , name [ TEXT ] , country [ TEXT ] | matchs : Div [ TEXT ] matchs.Div = divisions.division , Date [ DATE ] , HomeTeam [ TEXT ] , AwayTeam [ TEXT ] , FTHG [ INTEGER ] , FTAG [ INTEGER ] , FTR [ TEXT ] , season [ INTEGER ] |
-- -- What's the winning rate of Club Brugge in the 2021 Premier League?
| SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) + COUNT(CASE WHEN T1.FTR = 'A' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(t1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.AwayTeam = 'Club Brugge' OR T1.HomeTeam = 'Club Brugge'; |
-- Database schema
| awards_players : playerID [ TEXT ] awards_players.playerID = players.playerID , award [ TEXT ] , year [ INTEGER ] , lgID [ TEXT ] , note [ TEXT ] , pos [ TEXT ] | coaches : coachID [ TEXT ] , year [ INTEGER ] coaches.year = teams.year , tmID [ TEXT ] coaches.tmID = teams.tmID , lgID [ TEXT ] , stint [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , post_wins [ INTEGER ] , post_losses [ INTEGER ] | draft : id [ INTEGER ] primary_key , draftYear [ INTEGER ] draft.draftYear = teams.year , draftRound [ INTEGER ] , draftSelection [ INTEGER ] , draftOverall [ INTEGER ] , tmID [ TEXT ] draft.tmID = teams.tmID , firstName [ TEXT ] , lastName [ TEXT ] , suffixName [ TEXT ] , playerID [ TEXT ] , draftFrom [ TEXT ] , lgID [ TEXT ] | player_allstar : playerID [ TEXT ] player_allstar.playerID = players.playerID , last_name [ TEXT ] , first_name [ TEXT ] , season_id [ INTEGER ] , conference [ TEXT ] , league_id [ TEXT ] , games_played [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , o_rebounds [ INTEGER ] , d_rebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , personal_fouls [ INTEGER ] , fg_attempted [ INTEGER ] , fg_made [ INTEGER ] , ft_attempted [ INTEGER ] , ft_made [ INTEGER ] , three_attempted [ INTEGER ] , three_made [ INTEGER ] | players : playerID [ TEXT ] primary_key , useFirst [ TEXT ] , firstName [ TEXT ] , middleName [ TEXT ] , lastName [ TEXT ] , nameGiven [ TEXT ] , fullGivenName [ TEXT ] , nameSuffix [ TEXT ] , nameNick [ TEXT ] , pos [ TEXT ] , firstseason [ INTEGER ] , lastseason [ INTEGER ] , height [ REAL ] , weight [ INTEGER ] , college [ TEXT ] , collegeOther [ TEXT ] , birthDate [ DATE ] , birthCity [ TEXT ] , birthState [ TEXT ] , birthCountry [ TEXT ] , highSchool [ TEXT ] , hsCity [ TEXT ] , hsState [ TEXT ] , hsCountry [ TEXT ] , deathDate [ DATE ] , race [ TEXT ] | teams : year [ INTEGER ] , lgID [ TEXT ] , tmID [ TEXT ] , franchID [ TEXT ] , confID [ TEXT ] , divID [ TEXT ] , rank [ INTEGER ] , confRank [ INTEGER ] , playoff [ TEXT ] , name [ TEXT ] , o_fgm [ INTEGER ] , o_ftm [ INTEGER ] , o_pts [ INTEGER ] , d_pts [ INTEGER ] , homeWon [ INTEGER ] , homeLost [ INTEGER ] , awayWon [ INTEGER ] , awayLost [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , games [ INTEGER ] , arena [ TEXT ] | awards_coaches : id [ INTEGER ] primary_key , year [ INTEGER ] awards_coaches.year = coaches.year , coachID [ TEXT ] awards_coaches.coachID = coaches.coachID , award [ TEXT ] , lgID [ TEXT ] , note [ TEXT ] | players_teams : id [ INTEGER ] primary_key , playerID [ TEXT ] , year [ INTEGER ] players_teams.year = teams.year , stint [ INTEGER ] , tmID [ TEXT ] players_teams.tmID = teams.tmID , lgID [ TEXT ] , GP [ INTEGER ] , GS [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , oRebounds [ INTEGER ] , dRebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , PF [ INTEGER ] , fgAttempted [ INTEGER ] , fgMade [ INTEGER ] , ftAttempted [ INTEGER ] , ftMade [ INTEGER ] , threeAttempted [ INTEGER ] , threeMade [ INTEGER ] , PostGP [ INTEGER ] , PostGS [ INTEGER ] , PostMinutes [ INTEGER ] , PostPoints [ INTEGER ] , PostoRebounds [ INTEGER ] , PostdRebounds [ INTEGER ] , PostRebounds [ INTEGER ] , PostAssists [ INTEGER ] , PostSteals [ INTEGER ] , PostBlocks [ INTEGER ] , PostTurnovers [ INTEGER ] , PostPF [ INTEGER ] , PostfgAttempted [ INTEGER ] , PostfgMade [ INTEGER ] , PostftAttempted [ INTEGER ] , PostftMade [ INTEGER ] , PostthreeAttempted [ INTEGER ] , PostthreeMade [ INTEGER ] , note [ TEXT ] | series_post : id [ INTEGER ] primary_key , year [ INTEGER ] series_post.year = teams.year , round [ TEXT ] , series [ TEXT ] , tmIDWinner [ TEXT ] series_post.tmIDWinner = teams.tmID , lgIDWinner [ TEXT ] , tmIDLoser [ TEXT ] series_post.tmIDLoser = teams.tmID , lgIDLoser [ TEXT ] , W [ INTEGER ] , L [ INTEGER ] |
-- -- Among the winning game from the team, what is the percentage of the winning was home game.
| SELECT CAST(homeWon AS REAL) * 100 / won FROM teams; |
-- Database schema
| awards_players : playerID [ TEXT ] awards_players.playerID = players.playerID , award [ TEXT ] , year [ INTEGER ] , lgID [ TEXT ] , note [ TEXT ] , pos [ TEXT ] | coaches : coachID [ TEXT ] , year [ INTEGER ] coaches.year = teams.year , tmID [ TEXT ] coaches.tmID = teams.tmID , lgID [ TEXT ] , stint [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , post_wins [ INTEGER ] , post_losses [ INTEGER ] | draft : id [ INTEGER ] primary_key , draftYear [ INTEGER ] draft.draftYear = teams.year , draftRound [ INTEGER ] , draftSelection [ INTEGER ] , draftOverall [ INTEGER ] , tmID [ TEXT ] draft.tmID = teams.tmID , firstName [ TEXT ] , lastName [ TEXT ] , suffixName [ TEXT ] , playerID [ TEXT ] , draftFrom [ TEXT ] , lgID [ TEXT ] | player_allstar : playerID [ TEXT ] player_allstar.playerID = players.playerID , last_name [ TEXT ] , first_name [ TEXT ] , season_id [ INTEGER ] , conference [ TEXT ] , league_id [ TEXT ] , games_played [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , o_rebounds [ INTEGER ] , d_rebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , personal_fouls [ INTEGER ] , fg_attempted [ INTEGER ] , fg_made [ INTEGER ] , ft_attempted [ INTEGER ] , ft_made [ INTEGER ] , three_attempted [ INTEGER ] , three_made [ INTEGER ] | players : playerID [ TEXT ] primary_key , useFirst [ TEXT ] , firstName [ TEXT ] , middleName [ TEXT ] , lastName [ TEXT ] , nameGiven [ TEXT ] , fullGivenName [ TEXT ] , nameSuffix [ TEXT ] , nameNick [ TEXT ] , pos [ TEXT ] , firstseason [ INTEGER ] , lastseason [ INTEGER ] , height [ REAL ] , weight [ INTEGER ] , college [ TEXT ] , collegeOther [ TEXT ] , birthDate [ DATE ] , birthCity [ TEXT ] , birthState [ TEXT ] , birthCountry [ TEXT ] , highSchool [ TEXT ] , hsCity [ TEXT ] , hsState [ TEXT ] , hsCountry [ TEXT ] , deathDate [ DATE ] , race [ TEXT ] | teams : year [ INTEGER ] , lgID [ TEXT ] , tmID [ TEXT ] , franchID [ TEXT ] , confID [ TEXT ] , divID [ TEXT ] , rank [ INTEGER ] , confRank [ INTEGER ] , playoff [ TEXT ] , name [ TEXT ] , o_fgm [ INTEGER ] , o_ftm [ INTEGER ] , o_pts [ INTEGER ] , d_pts [ INTEGER ] , homeWon [ INTEGER ] , homeLost [ INTEGER ] , awayWon [ INTEGER ] , awayLost [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , games [ INTEGER ] , arena [ TEXT ] | awards_coaches : id [ INTEGER ] primary_key , year [ INTEGER ] awards_coaches.year = coaches.year , coachID [ TEXT ] awards_coaches.coachID = coaches.coachID , award [ TEXT ] , lgID [ TEXT ] , note [ TEXT ] | players_teams : id [ INTEGER ] primary_key , playerID [ TEXT ] , year [ INTEGER ] players_teams.year = teams.year , stint [ INTEGER ] , tmID [ TEXT ] players_teams.tmID = teams.tmID , lgID [ TEXT ] , GP [ INTEGER ] , GS [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , oRebounds [ INTEGER ] , dRebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , PF [ INTEGER ] , fgAttempted [ INTEGER ] , fgMade [ INTEGER ] , ftAttempted [ INTEGER ] , ftMade [ INTEGER ] , threeAttempted [ INTEGER ] , threeMade [ INTEGER ] , PostGP [ INTEGER ] , PostGS [ INTEGER ] , PostMinutes [ INTEGER ] , PostPoints [ INTEGER ] , PostoRebounds [ INTEGER ] , PostdRebounds [ INTEGER ] , PostRebounds [ INTEGER ] , PostAssists [ INTEGER ] , PostSteals [ INTEGER ] , PostBlocks [ INTEGER ] , PostTurnovers [ INTEGER ] , PostPF [ INTEGER ] , PostfgAttempted [ INTEGER ] , PostfgMade [ INTEGER ] , PostftAttempted [ INTEGER ] , PostftMade [ INTEGER ] , PostthreeAttempted [ INTEGER ] , PostthreeMade [ INTEGER ] , note [ TEXT ] | series_post : id [ INTEGER ] primary_key , year [ INTEGER ] series_post.year = teams.year , round [ TEXT ] , series [ TEXT ] , tmIDWinner [ TEXT ] series_post.tmIDWinner = teams.tmID , lgIDWinner [ TEXT ] , tmIDLoser [ TEXT ] series_post.tmIDLoser = teams.tmID , lgIDLoser [ TEXT ] , W [ INTEGER ] , L [ INTEGER ] |
-- -- Which team(s) has greater than 75% lost among all the games played.
| SELECT name FROM teams WHERE CAST(lost AS REAL) * 100 / games > 75; |
-- Database schema
| awards_players : playerID [ TEXT ] awards_players.playerID = players.playerID , award [ TEXT ] , year [ INTEGER ] , lgID [ TEXT ] , note [ TEXT ] , pos [ TEXT ] | coaches : coachID [ TEXT ] , year [ INTEGER ] coaches.year = teams.year , tmID [ TEXT ] coaches.tmID = teams.tmID , lgID [ TEXT ] , stint [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , post_wins [ INTEGER ] , post_losses [ INTEGER ] | draft : id [ INTEGER ] primary_key , draftYear [ INTEGER ] draft.draftYear = teams.year , draftRound [ INTEGER ] , draftSelection [ INTEGER ] , draftOverall [ INTEGER ] , tmID [ TEXT ] draft.tmID = teams.tmID , firstName [ TEXT ] , lastName [ TEXT ] , suffixName [ TEXT ] , playerID [ TEXT ] , draftFrom [ TEXT ] , lgID [ TEXT ] | player_allstar : playerID [ TEXT ] player_allstar.playerID = players.playerID , last_name [ TEXT ] , first_name [ TEXT ] , season_id [ INTEGER ] , conference [ TEXT ] , league_id [ TEXT ] , games_played [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , o_rebounds [ INTEGER ] , d_rebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , personal_fouls [ INTEGER ] , fg_attempted [ INTEGER ] , fg_made [ INTEGER ] , ft_attempted [ INTEGER ] , ft_made [ INTEGER ] , three_attempted [ INTEGER ] , three_made [ INTEGER ] | players : playerID [ TEXT ] primary_key , useFirst [ TEXT ] , firstName [ TEXT ] , middleName [ TEXT ] , lastName [ TEXT ] , nameGiven [ TEXT ] , fullGivenName [ TEXT ] , nameSuffix [ TEXT ] , nameNick [ TEXT ] , pos [ TEXT ] , firstseason [ INTEGER ] , lastseason [ INTEGER ] , height [ REAL ] , weight [ INTEGER ] , college [ TEXT ] , collegeOther [ TEXT ] , birthDate [ DATE ] , birthCity [ TEXT ] , birthState [ TEXT ] , birthCountry [ TEXT ] , highSchool [ TEXT ] , hsCity [ TEXT ] , hsState [ TEXT ] , hsCountry [ TEXT ] , deathDate [ DATE ] , race [ TEXT ] | teams : year [ INTEGER ] , lgID [ TEXT ] , tmID [ TEXT ] , franchID [ TEXT ] , confID [ TEXT ] , divID [ TEXT ] , rank [ INTEGER ] , confRank [ INTEGER ] , playoff [ TEXT ] , name [ TEXT ] , o_fgm [ INTEGER ] , o_ftm [ INTEGER ] , o_pts [ INTEGER ] , d_pts [ INTEGER ] , homeWon [ INTEGER ] , homeLost [ INTEGER ] , awayWon [ INTEGER ] , awayLost [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , games [ INTEGER ] , arena [ TEXT ] | awards_coaches : id [ INTEGER ] primary_key , year [ INTEGER ] awards_coaches.year = coaches.year , coachID [ TEXT ] awards_coaches.coachID = coaches.coachID , award [ TEXT ] , lgID [ TEXT ] , note [ TEXT ] | players_teams : id [ INTEGER ] primary_key , playerID [ TEXT ] , year [ INTEGER ] players_teams.year = teams.year , stint [ INTEGER ] , tmID [ TEXT ] players_teams.tmID = teams.tmID , lgID [ TEXT ] , GP [ INTEGER ] , GS [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , oRebounds [ INTEGER ] , dRebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , PF [ INTEGER ] , fgAttempted [ INTEGER ] , fgMade [ INTEGER ] , ftAttempted [ INTEGER ] , ftMade [ INTEGER ] , threeAttempted [ INTEGER ] , threeMade [ INTEGER ] , PostGP [ INTEGER ] , PostGS [ INTEGER ] , PostMinutes [ INTEGER ] , PostPoints [ INTEGER ] , PostoRebounds [ INTEGER ] , PostdRebounds [ INTEGER ] , PostRebounds [ INTEGER ] , PostAssists [ INTEGER ] , PostSteals [ INTEGER ] , PostBlocks [ INTEGER ] , PostTurnovers [ INTEGER ] , PostPF [ INTEGER ] , PostfgAttempted [ INTEGER ] , PostfgMade [ INTEGER ] , PostftAttempted [ INTEGER ] , PostftMade [ INTEGER ] , PostthreeAttempted [ INTEGER ] , PostthreeMade [ INTEGER ] , note [ TEXT ] | series_post : id [ INTEGER ] primary_key , year [ INTEGER ] series_post.year = teams.year , round [ TEXT ] , series [ TEXT ] , tmIDWinner [ TEXT ] series_post.tmIDWinner = teams.tmID , lgIDWinner [ TEXT ] , tmIDLoser [ TEXT ] series_post.tmIDLoser = teams.tmID , lgIDLoser [ TEXT ] , W [ INTEGER ] , L [ INTEGER ] |
-- -- List the team name and the total wins of the team in year 2005 which has greater winning from the previous year.
| SELECT T1.name, T1.won FROM teams AS T1 INNER JOIN ( SELECT * FROM teams WHERE year = 2004 ) AS T2 on T1.tmID = T2.tmID WHERE T1.year = 2005 and T1.won > T2.won; |
-- Database schema
| awards_players : playerID [ TEXT ] awards_players.playerID = players.playerID , award [ TEXT ] , year [ INTEGER ] , lgID [ TEXT ] , note [ TEXT ] , pos [ TEXT ] | coaches : coachID [ TEXT ] , year [ INTEGER ] coaches.year = teams.year , tmID [ TEXT ] coaches.tmID = teams.tmID , lgID [ TEXT ] , stint [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , post_wins [ INTEGER ] , post_losses [ INTEGER ] | draft : id [ INTEGER ] primary_key , draftYear [ INTEGER ] draft.draftYear = teams.year , draftRound [ INTEGER ] , draftSelection [ INTEGER ] , draftOverall [ INTEGER ] , tmID [ TEXT ] draft.tmID = teams.tmID , firstName [ TEXT ] , lastName [ TEXT ] , suffixName [ TEXT ] , playerID [ TEXT ] , draftFrom [ TEXT ] , lgID [ TEXT ] | player_allstar : playerID [ TEXT ] player_allstar.playerID = players.playerID , last_name [ TEXT ] , first_name [ TEXT ] , season_id [ INTEGER ] , conference [ TEXT ] , league_id [ TEXT ] , games_played [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , o_rebounds [ INTEGER ] , d_rebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , personal_fouls [ INTEGER ] , fg_attempted [ INTEGER ] , fg_made [ INTEGER ] , ft_attempted [ INTEGER ] , ft_made [ INTEGER ] , three_attempted [ INTEGER ] , three_made [ INTEGER ] | players : playerID [ TEXT ] primary_key , useFirst [ TEXT ] , firstName [ TEXT ] , middleName [ TEXT ] , lastName [ TEXT ] , nameGiven [ TEXT ] , fullGivenName [ TEXT ] , nameSuffix [ TEXT ] , nameNick [ TEXT ] , pos [ TEXT ] , firstseason [ INTEGER ] , lastseason [ INTEGER ] , height [ REAL ] , weight [ INTEGER ] , college [ TEXT ] , collegeOther [ TEXT ] , birthDate [ DATE ] , birthCity [ TEXT ] , birthState [ TEXT ] , birthCountry [ TEXT ] , highSchool [ TEXT ] , hsCity [ TEXT ] , hsState [ TEXT ] , hsCountry [ TEXT ] , deathDate [ DATE ] , race [ TEXT ] | teams : year [ INTEGER ] , lgID [ TEXT ] , tmID [ TEXT ] , franchID [ TEXT ] , confID [ TEXT ] , divID [ TEXT ] , rank [ INTEGER ] , confRank [ INTEGER ] , playoff [ TEXT ] , name [ TEXT ] , o_fgm [ INTEGER ] , o_ftm [ INTEGER ] , o_pts [ INTEGER ] , d_pts [ INTEGER ] , homeWon [ INTEGER ] , homeLost [ INTEGER ] , awayWon [ INTEGER ] , awayLost [ INTEGER ] , won [ INTEGER ] , lost [ INTEGER ] , games [ INTEGER ] , arena [ TEXT ] | awards_coaches : id [ INTEGER ] primary_key , year [ INTEGER ] awards_coaches.year = coaches.year , coachID [ TEXT ] awards_coaches.coachID = coaches.coachID , award [ TEXT ] , lgID [ TEXT ] , note [ TEXT ] | players_teams : id [ INTEGER ] primary_key , playerID [ TEXT ] , year [ INTEGER ] players_teams.year = teams.year , stint [ INTEGER ] , tmID [ TEXT ] players_teams.tmID = teams.tmID , lgID [ TEXT ] , GP [ INTEGER ] , GS [ INTEGER ] , minutes [ INTEGER ] , points [ INTEGER ] , oRebounds [ INTEGER ] , dRebounds [ INTEGER ] , rebounds [ INTEGER ] , assists [ INTEGER ] , steals [ INTEGER ] , blocks [ INTEGER ] , turnovers [ INTEGER ] , PF [ INTEGER ] , fgAttempted [ INTEGER ] , fgMade [ INTEGER ] , ftAttempted [ INTEGER ] , ftMade [ INTEGER ] , threeAttempted [ INTEGER ] , threeMade [ INTEGER ] , PostGP [ INTEGER ] , PostGS [ INTEGER ] , PostMinutes [ INTEGER ] , PostPoints [ INTEGER ] , PostoRebounds [ INTEGER ] , PostdRebounds [ INTEGER ] , PostRebounds [ INTEGER ] , PostAssists [ INTEGER ] , PostSteals [ INTEGER ] , PostBlocks [ INTEGER ] , PostTurnovers [ INTEGER ] , PostPF [ INTEGER ] , PostfgAttempted [ INTEGER ] , PostfgMade [ INTEGER ] , PostftAttempted [ INTEGER ] , PostftMade [ INTEGER ] , PostthreeAttempted [ INTEGER ] , PostthreeMade [ INTEGER ] , note [ TEXT ] | series_post : id [ INTEGER ] primary_key , year [ INTEGER ] series_post.year = teams.year , round [ TEXT ] , series [ TEXT ] , tmIDWinner [ TEXT ] series_post.tmIDWinner = teams.tmID , lgIDWinner [ TEXT ] , tmIDLoser [ TEXT ] series_post.tmIDLoser = teams.tmID , lgIDLoser [ TEXT ] , W [ INTEGER ] , L [ INTEGER ] |
-- -- For team who has more home won than home lost more than 80%, list the team name and the offense points.
| SELECT name, o_pts FROM teams WHERE CAST((homeWon - homeLost) AS REAL) * 100 / games > 80; |
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