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What are all the policy types of the customer named "Dayana Robel"? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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". | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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 that has the most policies listed? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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 services in the alphabetical order. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT service_name FROM services ORDER BY service_name |
Give me a list of all the service names sorted alphabetically. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT service_name FROM services ORDER BY service_name |
How many services are there? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT count(*) FROM services |
Count the total number of available services. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT count(*) FROM services |
Find the names of users who do not have a first notification of loss record. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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 customers who have used either the service "Close a policy" or the service "Upgrade a policy". | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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 both the service "Close a policy" and the service "New policy application". | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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 IDs of customers whose name contains "Diana". | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" |
What are the IDs of customers who have "Diana" in part of their names? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" |
What are the maximum and minimum settlement amount on record? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements |
Find the maximum and minimum settlement amount. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements |
List all the customers in increasing order of IDs. | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC |
What is the ordered list of customer ids? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC |
Retrieve the open and close dates of all the policies associated with the customer whose name contains "Diana" | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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? | Customers: Customer_ID (INTEGER), Customer_name (VARCHAR(40))
Services: Service_ID (INTEGER), Service_name (VARCHAR(40))
Available_Policies: Policy_ID (INTEGER), policy_type_code (CHAR(15)), Customer_Phone (VARCHAR(255))
Customers_Policies: Customer_ID (INTEGER), Policy_ID (INTEGER), Date_Opened (DATE), Date_Closed (DATE)
First_Notification_of_Loss: FNOL_ID (INTEGER), Customer_ID (INTEGER), Policy_ID (INTEGER), Service_ID (INTEGER)
Claims: Claim_ID (INTEGER), FNOL_ID (INTEGER), Effective_Date (DATE)
Settlements: Settlement_ID (INTEGER), Claim_ID (INTEGER), Effective_Date (DATE), Settlement_Amount (REAL) | 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%" |
How many kinds of enzymes are there? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM enzyme |
What is the total count of enzymes? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM enzyme |
List the name of enzymes in descending lexicographical order. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme ORDER BY name DESC |
What are the names of enzymes in descending order? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme ORDER BY name DESC |
List the names and the locations that the enzymes can make an effect. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name , LOCATION FROM enzyme |
What are the names and locations of all enzymes listed? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name , LOCATION FROM enzyme |
What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT max(OMIM) FROM enzyme |
What is the maximum OMIM value in the database? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT max(OMIM) FROM enzyme |
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' |
What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol' |
What are the names of enzymes who does not produce 'Heme'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme WHERE product != 'Heme' |
What are the names of enzymes whose product is not 'Heme'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme WHERE product != 'Heme' |
What are the names and trade names of the medicines which has 'Yes' value in the FDA record? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' |
What are the names and trade names of the medcines that are FDA approved? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name , trade_name FROM medicine WHERE FDA_approved = 'Yes' |
What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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 ids and names of the medicine that can interact with two or more enzymes? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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 is the id and name of the enzyme with most number of medicines that can interact as 'activator'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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 interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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 most common interaction type between enzymes and medicine? And how many are there? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 |
How many medicines have the FDA approval status 'No' ? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' |
How many medicines were not approved by the FDA? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM medicine WHERE FDA_approved = 'No' |
How many enzymes do not have any interactions? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
What is the count of enzymes without any interactions? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); |
What is the id and trade name of the medicines can interact with at least 3 enzymes? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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 distinct name, location and products of the enzymes which has any 'inhibitor' interaction? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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' |
List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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' |
Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | 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' |
How many distinct FDA approval statuses are there for the medicines? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(DISTINCT FDA_approved) FROM medicine |
How many different FDA approval statuses exist for medicines? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT count(DISTINCT FDA_approved) FROM medicine |
Which enzyme names have the substring "ALA"? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme WHERE name LIKE "%ALA%" |
What are the names of enzymes that include the string 'ALA'? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT name FROM enzyme WHERE name LIKE "%ALA%" |
find the number of medicines offered by each trade. | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name |
How many medicines are offered by each trade name? | medicine: id (INT), name (TEXT), Trade_Name (TEXT), FDA_approved (TEXT)
enzyme: id (INT), name (TEXT), Location (TEXT), Product (TEXT), Chromosome (TEXT), OMIM (INT), Porphyria (TEXT)
medicine_enzyme_interaction: enzyme_id (INT), medicine_id (INT), interaction_type (TEXT) | SELECT trade_name , count(*) FROM medicine GROUP BY trade_name |
List all schools and their nicknames in the order of founded year. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school , nickname FROM university ORDER BY founded |
What are the different schools and their nicknames, ordered by their founding years? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school , nickname FROM university ORDER BY founded |
List all public schools and their locations. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' |
What are the public schools and what are their locations? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school , LOCATION FROM university WHERE affiliation = 'Public' |
When was the school with the largest enrollment founded? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 |
Return the founded year for the school with the largest enrollment. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT founded FROM university ORDER BY enrollment DESC LIMIT 1 |
Find the founded year of the newest non public school. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT founded FROM university WHERE affiliation != 'Public' ORDER BY founded DESC LIMIT 1 |
How many schools are in the basketball match? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(DISTINCT school_id) FROM basketball_match |
Count the number of schools that have had basketball matches. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(DISTINCT school_id) FROM basketball_match |
What is the highest acc percent score in the competition? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 |
Return the highest acc percent across all basketball matches. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1 |
What is the primary conference of the school that has the lowest acc percent score in the competition? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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 team name and acc regular season score of the school that was founded for the longest time? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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 |
Find the location and all games score of the school that has Clemson as its team name. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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 average enrollment size of the universities that are founded before 1850? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT avg(enrollment) FROM university WHERE founded < 1850 |
Return the average enrollment of universities founded before 1850. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT avg(enrollment) FROM university WHERE founded < 1850 |
Show the enrollment and primary_conference of the oldest college. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | 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? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT enrollment , primary_conference FROM university ORDER BY founded LIMIT 1 |
What is the total and minimum enrollment of all schools? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT sum(enrollment) , min(enrollment) FROM university |
Return the total and minimum enrollments across all schools. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT sum(enrollment) , min(enrollment) FROM university |
Find the total student enrollment for different affiliation type schools. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation |
What are the total enrollments of universities of each affiliation type? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation |
How many schools do not participate in the basketball match? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match) |
Count the number of universities that do not participate in the baketball match. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(*) FROM university WHERE school_id NOT IN (SELECT school_id FROM basketball_match) |
Find the schools that were either founded after 1850 or public. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public' |
What are the schools that were either founded before 1850 or are public? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT school FROM university WHERE founded > 1850 OR affiliation = 'Public' |
Find how many different affiliation types there are. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(DISTINCT affiliation) FROM university |
Count the number of different affiliation types. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(DISTINCT affiliation) FROM university |
Find how many school locations have the word 'NY'. | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%" |
How many universities have a location that contains NY? | basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT)
university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT) | SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%" |