Datasets:

philikai

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Spider-SQL-LLAMA2_train

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insurance_fnol

SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4

Find the policy types more than 4 customers use. Show their type code.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements

Find the total and average amount of settlements.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements

Return the sum and average of all settlement amounts.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2

Find the name of services that have been used for more than 2 times in first notification of loss.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2

Which services have been used more than twice in first notification of loss? Return the service name.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1

What is the effective date of the claim that has the largest amount of total settlement?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1

Find the claim that has the largest total settlement amount. Return the effective date of the claim.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"

How many policies are listed for the customer named "Dayana Robel"?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel"

Count the total number of policies used by the customer named "Dayana Robel".

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1

What is the name of the customer who has the most policies listed?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1

Which customer uses the most policies? Give me the customer name.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"

What are all the policy types of the customer named "Dayana Robel"?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = "Dayana Robel"

Tell me the types of the policy used by the customer named "Dayana Robel".

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)

What are all the policy types of the customer that has the most policies listed?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)

List all the policy types used by the customer enrolled in the most policies.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT service_name FROM services ORDER BY service_name

List all the services in the alphabetical order.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT service_name FROM services ORDER BY service_name

Give me a list of all the service names sorted alphabetically.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT count(*) FROM services

How many services are there?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT count(*) FROM services

Count the total number of available services.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id

Find the names of users who do not have a first notification of loss record.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_name FROM customers EXCEPT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id

Which customers do not have a first notification of loss record? Give me the customer names.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"

Find the names of customers who have used either the service "Close a policy" or the service "Upgrade a policy".

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" OR t3.service_name = "Upgrade a policy"

Which customers have used the service named "Close a policy" or "Upgrade a policy"? Give me the customer names.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"

Find the names of customers who have used both the service "Close a policy" and the service "New policy application".

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "Close a policy" INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN first_notification_of_loss AS t2 ON t1.customer_id = t2.customer_id JOIN services AS t3 ON t2.service_id = t3.service_id WHERE t3.service_name = "New policy application"

Which customers have used both the service named "Close a policy" and the service named "Upgrade a policy"? Give me the customer names.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"

Find the IDs of customers whose name contains "Diana".

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%"

What are the IDs of customers who have "Diana" in part of their names?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT max(settlement_amount) , min(settlement_amount) FROM settlements

What are the maximum and minimum settlement amount on record?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT max(settlement_amount) , min(settlement_amount) FROM settlements

Find the maximum and minimum settlement amount.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC

List all the customers in increasing order of IDs.

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC

What is the ordered list of customer ids?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"

Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana"

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

insurance_fnol

SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"

What are the open and close dates of all the policies used by the customer who have "Diana" in part of their names?

[Schema (values) (types)]: | insurance_fnol | Customers : customer_id (text) , customer_name (number) | Services : service_id (text) , service_name (number) | Available_Policies : policy_id (text) , policy_type_code (number) , customer_phone (text) | Customers_Policies : customer_id (text) , policy_id (number) , date_opened (text) , date_closed (number) | First_Notification_of_Loss : fnol_id (text) , customer_id (number) , policy_id (text) , service_id (number) | Claims : claim_id (text) , fnol_id (number) , effective_date (text) | Settlements : settlement_id (text) , claim_id (number) , effective_date (text) , settlement_amount (number);

[Primary Keys]: customers : customer_id, services : service_id, available_policies : policy_id, customers_policies : customer_id, first_notification_of_loss : fnol_id, claims : claim_id, settlements : settlement_id

[Foreign Keys]: customers_policies : policy_id = available_policies : policy_id | customers_policies : customer_id = customers : customer_id | first_notification_of_loss : customer_id = customers_policies : customer_id | first_notification_of_loss : policy_id = customers_policies : policy_id | first_notification_of_loss : service_id = services : service_id | claims : fnol_id = first_notification_of_loss : fnol_id | settlements : claim_id = claims : claim_id

medicine_enzyme_interaction

SELECT count(*) FROM enzyme

How many kinds of enzymes are there?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(*) FROM enzyme

What is the total count of enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme ORDER BY name DESC

List the name of enzymes in descending lexicographical order.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme ORDER BY name DESC

What are the names of enzymes in descending order?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , LOCATION FROM enzyme

List the names and the locations that the enzymes can make an effect.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , LOCATION FROM enzyme

What are the names and locations of all enzymes listed?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT max(OMIM) FROM enzyme

What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT max(OMIM) FROM enzyme

What is the maximum OMIM value in the database?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'

What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'

What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme WHERE product != 'Heme'

What are the names of enzymes who does not produce 'Heme'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme WHERE product != 'Heme'

What are the names of enzymes whose product is not 'Heme'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'

What are the names and trade names of the medicines which has 'Yes' value in the FDA record?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes'

What are the names and trade names of the medcines that are FDA approved?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'

What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id JOIN medicine AS T3 ON T2.medicine_id = T3.id WHERE T3.name = 'Amisulpride' AND T2.interaction_type = 'inhibitor'

What are the names of the enzymes used in the medicine Amisulpride that acts as inhibitors?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2

What are the ids and names of the medicine that can interact with two or more enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2

For every medicine id, what are the names of the medicines that can interact with more than one enzyme?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC

What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC

What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1

What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1

What is the id and name of the enzyme that can interact with the most medicines as an activator?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'

What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'

What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1

What is the most common interaction type between enzymes and medicine? And how many are there?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1

What are the most common types of interactions between enzymes and medicine, and how many types are there?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(*) FROM medicine WHERE FDA_approved = 'No'

How many medicines have the FDA approval status 'No' ?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(*) FROM medicine WHERE FDA_approved = 'No'

How many medicines were not approved by the FDA?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );

How many enzymes do not have any interactions?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction );

What is the count of enzymes without any interactions?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3

What is the id and trade name of the medicines can interact with at least 3 enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3

What are the ids and trade names of the medicine that can interact with at least 3 enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'

What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT DISTINCT T1.name , T1.location , T1.product FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.enzyme_id = T1.id WHERE T2.interaction_type = 'inhibitor'

What are the different names, locations, and products of the enzymes that are capable inhibitor interactions?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'

List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'inhibitor' INTERSECT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id WHERE interaction_type = 'activitor'

What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'

Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name , trade_name FROM medicine EXCEPT SELECT T1.name , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id JOIN enzyme AS T3 ON T3.id = T2.enzyme_id WHERE T3.product = 'Protoporphyrinogen IX'

What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(DISTINCT FDA_approved) FROM medicine

How many distinct FDA approval statuses are there for the medicines?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT count(DISTINCT FDA_approved) FROM medicine

How many different FDA approval statuses exist for medicines?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme WHERE name LIKE "%ALA%"

Which enzyme names have the substring "ALA"?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT name FROM enzyme WHERE name LIKE "%ALA%"

What are the names of enzymes that include the string 'ALA'?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT trade_name , count(*) FROM medicine GROUP BY trade_name

find the number of medicines offered by each trade.

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

medicine_enzyme_interaction

SELECT trade_name , count(*) FROM medicine GROUP BY trade_name

How many medicines are offered by each trade name?

[Schema (values) (types)]: | medicine_enzyme_interaction | medicine : id (text) , name (number) , trade_name (text) , fda_approved (text) | enzyme : id (text) , name (number) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (text) , medicine_id (number) , interaction_type (text);

[Primary Keys]: medicine : id, enzyme : id, medicine_enzyme_interaction : enzyme_id

[Foreign Keys]: medicine_enzyme_interaction : medicine_id = medicine : id | medicine_enzyme_interaction : enzyme_id = enzyme : id

university_basketball

SELECT school , nickname FROM university ORDER BY founded

List all schools and their nicknames in the order of founded year.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT school , nickname FROM university ORDER BY founded

What are the different schools and their nicknames, ordered by their founding years?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT school , LOCATION FROM university WHERE affiliation = 'Public'

List all public schools and their locations.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT school , LOCATION FROM university WHERE affiliation = 'Public'

What are the public schools and what are their locations?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1

When was the school with the largest enrollment founded?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1

Return the founded year for the school with the largest enrollment.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1

Find the founded year of the newest non public school.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1

What is the founded year of the non public school that was founded most recently?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(DISTINCT school_id) FROM basketball_match

How many schools are in the basketball match?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT count(DISTINCT school_id) FROM basketball_match

Count the number of schools that have had basketball matches.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1

What is the highest acc percent score in the competition?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1

Return the highest acc percent across all basketball matches.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1

What is the primary conference of the school that has the lowest acc percent score in the competition?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t1.Primary_conference FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t2.acc_percent LIMIT 1

Return the primary conference of the school with the lowest acc percentage score.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1

What is the team name and acc regular season score of the school that was founded for the longest time?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.team_name , t2.ACC_Regular_Season FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id ORDER BY t1.founded LIMIT 1

Return the name of the team and the acc during the regular season for the school that was founded the earliest.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'

Find the location and all games score of the school that has Clemson as its team name.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT t2.All_Games , t1.location FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE team_name = 'Clemson'

What are the all games score and location of the school called Clemson?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT avg(enrollment) FROM university WHERE founded < 1850

What are the average enrollment size of the universities that are founded before 1850?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT avg(enrollment) FROM university WHERE founded < 1850

Return the average enrollment of universities founded before 1850.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1

Show the enrollment and primary_conference of the oldest college.

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1

What are the enrollment and primary conference for the university which was founded the earliest?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id

university_basketball

SELECT sum(enrollment) , min(enrollment) FROM university

What is the total and minimum enrollment of all schools?

[Schema (values) (types)]: | university_basketball | basketball_match : team_id (text) , school_id (number) , team_name (number) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (text) , all_home (number) , all_road (text) , all_neutral (text) | university : school_id (text) , school (number) , location (number) , founded (text) , affiliation (text) , enrollment (text) , nickname (text) , primary_conference (text);

[Primary Keys]: basketball_match : team_id, university : school_id

[Foreign Keys]: basketball_match : school_id = university : school_id