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Provide the destination city of the shipment shipped by January 16, 2017. | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "North Las Vegas" is the city_name | "retailer" is the cust_type; IDs of shipments refers to ship_id | "Peterbilt" is the make | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | shipment no. 1346 refers to ship_id = 1346 | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state |
Among the shipments for Downey, how many shipments were shipped to California in 2016? | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "retailer" is the cust_type; live in California refers to state = 'CA' | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | "retailer" is the cust_type; IDs of shipments refers to ship_id | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "Klett & Sons Repair" is the cust_name | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "New York" is the city_name; maximum weight refers to Max(weight) |
Provide the ship date of the first shipment to customers in South Carolina. | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | on March 7, 2016 refers to ship_date = '2016-03-07' | lightest weight refers to Min(weight); full name refers to first_name, last_name | manufactured in year 2009 refers to model_year = 2009 | "Florida" is the state; "Jacksonville" is city_name; | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | in California refers to state = 'CA'; most populated city refers to Max(population) |
State the headquarter of the truck which completed shipment no.1045. | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "Cicero" is the city; 'Illinois' is the state | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | "Connecticut" is the state | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | lightest weight refers to Min(weight); full name refers to first_name, last_name |
Among all the shipments to Florida, what is the percentage of the shipment to Jacksonville? | "Florida" is the state; "Jacksonville" is city_name; | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | on March 7, 2016 refers to ship_date = '2016-03-07' | "S K L Enterprises Inc" is the cust_name | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "Klett & Sons Repair" is the cust_name | "North Las Vegas" is the city_name | in California refers to state = 'CA'; most populated city refers to Max(population) | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 |
Please list the IDs of all the shipments made by a retailer customer. | "retailer" is the cust_type; IDs of shipments refers to ship_id | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | lightest weight refers to Min(weight); full name refers to first_name, last_name | shipment id 1028 refers to ship_id = 1028 | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "Klett & Sons Repair" is the cust_name | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | in California refers to state = 'CA'; most populated city refers to Max(population) | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state |
How many pounds did Sue Newell transport during her first shipment? | first shipment refers to Min(ship_date); pounds refers to weight | brand of truck refers to make | lightest weight refers to Min(weight); full name refers to first_name, last_name | "North Las Vegas" is the city_name | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | on March 7, 2016 refers to ship_date = '2016-03-07' | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) |
What is the address of the driver that delivers the shipment for the customer lives at 7052 Carroll Road, San Diego, California? | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | "retailer" is the cust_type; live in California refers to state = 'CA' | "North Las Vegas" is the city_name |
Among the shipments shipped to Cicero, Illinois, how many shipments weighed between 9,000 to 15,000? | "Cicero" is the city; 'Illinois' is the state | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | "California" is the state; least populated city refers to Min(population) | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | shipment id 1028 refers to ship_id = 1028 | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | city refers to city_name | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name |
What is the maximum weight being transported to New York during a single shipment? | "New York" is the city_name; maximum weight refers to Max(weight) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | shipment id 1055 refers to ship_id = 1055 | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | city refers to city_name | "manufacturer" is the cust_type |
How many shipments were shipped to customers living in California in year 2016? | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | shipment no. 1346 refers to ship_id = 1346 | "Klett & Sons Repair" is the cust_name | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | shipment id 1003 refers to ship_id = 1003 | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | "North Las Vegas" is the city_name | "retailer" is the cust_type; IDs of shipments refers to ship_id |
Which headquarter's truck has the highest shipments in year 2016? | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "California" is the state; least populated city refers to Min(population) | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | first shipment refers to Min(ship_date); pounds refers to weight | "Olympic Camper Sales Inc" is the cust_name | oldest truck model refers to Min(model_year) | "Peterbilt" is the make | on March 7, 2016 refers to ship_date = '2016-03-07' | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) |
State the weight of shipments transported by Peterbilt. | "Peterbilt" is the make | city refers to city_name | in California refers to state = 'CA'; most populated city refers to Max(population) | "Connecticut" is the state | brand of truck refers to make | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | "Olympic Camper Sales Inc" is the cust_name | on March 7, 2016 refers to ship_date = '2016-03-07' | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "California" is the state; least populated city refers to Min(population) | live refers to address |
How many trucks were manufactured in year 2009? | manufactured in year 2009 refers to model_year = 2009 | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | "Florida" is the state; "Jacksonville" is city_name; | "North Las Vegas" is the city_name | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | "Connecticut" is the state | shipment id 1028 refers to ship_id = 1028 | first shipment refers to Min(ship_date); pounds refers to weight | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) |
What is the weight of the shipment delivered by Andrea Simons on March 7, 2016? | on March 7, 2016 refers to ship_date = '2016-03-07' | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | shipment id 1028 refers to ship_id = 1028 | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | "North Las Vegas" is the city_name | "manufacturer" is the cust_type | "Klett & Sons Repair" is the cust_name | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "Florida" is the state; "Jacksonville" is city_name; |
Give the name of the driver of shipment no.1021. | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "North Las Vegas" is the city_name | first shipment refers to Min(ship_date); pounds refers to weight | customer in Florida refers to state = 'FL' | in California refers to state = 'CA'; most populated city refers to Max(population) | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | "Connecticut" is the state | "Peterbilt" is the make |
List all the name of the customers that received a shipment in February 2017. | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | "Olympic Camper Sales Inc" is the cust_name | customer in Florida refers to state = 'FL' | oldest truck model refers to Min(model_year) | live refers to address | shipment id 1003 refers to ship_id = 1003 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) |
How many shipments did Holger Nohr transport to North Las Vegas overall? | "North Las Vegas" is the city_name | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | shipment id 1003 refers to ship_id = 1003 | manufactured in year 2009 refers to model_year = 2009 | shipment no. 1346 refers to ship_id = 1346 | in California refers to state = 'CA'; most populated city refers to Max(population) | "retailer" is the cust_type; IDs of shipments refers to ship_id | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | lightest weight refers to Min(weight); full name refers to first_name, last_name | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name |
List all the cities where Zachery Hicks transported goods. | city refers to city_name | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | oldest truck model refers to Min(model_year) | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | "manufacturer" is the cust_type | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | "Cicero" is the city; 'Illinois' is the state | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name |
What is the annual revenue of Klett & Sons Repair? | "Klett & Sons Repair" is the cust_name | first shipment refers to Min(ship_date); pounds refers to weight | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | "manufacturer" is the cust_type | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name |
What is the most populated city in California? | in California refers to state = 'CA'; most populated city refers to Max(population) | on March 7, 2016 refers to ship_date = '2016-03-07' | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | "New York" is the city_name; maximum weight refers to Max(weight) | "Florida" is the state; "Jacksonville" is city_name; | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | shipment id 1028 refers to ship_id = 1028 | "S K L Enterprises Inc" is the cust_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "Cicero" is the city; 'Illinois' is the state |
Please list the destination cities of all the shipments ordered by S K L Enterprises Inc. | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | in California refers to state = 'CA'; most populated city refers to Max(population) | brand of truck refers to make | "Peterbilt" is the make | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | live refers to address | "Olympic Camper Sales Inc" is the cust_name |
What is the brand of the truck that is used to ship by Zachery Hicks? | brand of truck refers to make | lightest weight refers to Min(weight); full name refers to first_name, last_name | "Florida" is the state; "Jacksonville" is city_name; | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | city refers to city_name | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | oldest truck model refers to Min(model_year) | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) |
What is the average annual revenue of customers who have shipment weight of less than 65000 pounds? | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | brand of truck refers to make | "retailer" is the cust_type; IDs of shipments refers to ship_id | "Olympic Camper Sales Inc" is the cust_name | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | "S K L Enterprises Inc" is the cust_name | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "California" is the state; least populated city refers to Min(population) | most populated city refers to Max(population) | in California refers to state = 'CA'; most populated city refers to Max(population) | shipment id 1055 refers to ship_id = 1055 |
What is the brand and model of truck used in shipment id 1055? | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | customer in Florida refers to state = 'FL' | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | manufactured in year 2009 refers to model_year = 2009 | "S K L Enterprises Inc" is the cust_name | shipment id 1028 refers to ship_id = 1028 | "Peterbilt" is the make |
State the address of drivers who transported the shipment with weight greater than 50000 pounds. | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | manufactured in year 2009 refers to model_year = 2009 | on March 7, 2016 refers to ship_date = '2016-03-07' | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | lightest weight refers to Min(weight); full name refers to first_name, last_name | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | shipment no. 1346 refers to ship_id = 1346 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) |
How many customers who live in California that are retailers? | "retailer" is the cust_type; live in California refers to state = 'CA' | brand of truck refers to make | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | live refers to address | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 |
What is the model year of the truck used in shipment id 1003? | shipment id 1003 refers to ship_id = 1003 | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | first shipment refers to Min(ship_date); pounds refers to weight | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "Olympic Camper Sales Inc" is the cust_name | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | most populated city refers to Max(population) | "retailer" is the cust_type; IDs of shipments refers to ship_id | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) |
Calculate the difference between the number of shipments shipped by the truck with the model year 2005 and model year 2006. | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | manufactured in year 2009 refers to model_year = 2009 | shipment id 1055 refers to ship_id = 1055 | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | shipment id 1028 refers to ship_id = 1028 | "Connecticut" is the state | "S K L Enterprises Inc" is the cust_name | "California" is the state; least populated city refers to Min(population) | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name |
How many shipments were ordered by S K L Enterprises Inc in 2017? | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "S K L Enterprises Inc" is the cust_name | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | shipment no. 1346 refers to ship_id = 1346 | "Peterbilt" is the make | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | lightest weight refers to Min(weight); full name refers to first_name, last_name | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | most populated city refers to Max(population) |
What is the average weight of the goods being transported on a single shipment ordered by S K L Enterprises Inc? | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | in California refers to state = 'CA'; most populated city refers to Max(population) | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | "New York" is the city_name; maximum weight refers to Max(weight) | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | on March 7, 2016 refers to ship_date = '2016-03-07' | "Olympic Camper Sales Inc" is the cust_name | most populated city refers to Max(population) |
Among all shipments delivered by Sue Newel, identify the percentage of shipments that were placed by Autoware Inc. | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) | brand of truck refers to make | "retailer" is the cust_type; live in California refers to state = 'CA' | "Cicero" is the city; 'Illinois' is the state | in California refers to state = 'CA'; most populated city refers to Max(population) | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | "S K L Enterprises Inc" is the cust_name | "Olympic Camper Sales Inc" is the cust_name |
List out the state of driver who transported the shipment id 1055. | shipment id 1055 refers to ship_id = 1055 | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | "North Las Vegas" is the city_name | lightest weight refers to Min(weight); full name refers to first_name, last_name | "Olympic Camper Sales Inc" is the cust_name | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | in California refers to state = 'CA'; most populated city refers to Max(population) | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name |
What is the shipment ID of the heaviest shipment that Zachery Hicks transported? | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) | "retailer" is the cust_type; live in California refers to state = 'CA' | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | first shipment refers to Min(ship_date); pounds refers to weight | most populated city refers to Max(population) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | "Olympic Camper Sales Inc" is the cust_name |
What is the area of the destination city of shipment No.1346? | shipment no. 1346 refers to ship_id = 1346 | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | on March 7, 2016 refers to ship_date = '2016-03-07' | "New York" is the city_name; maximum weight refers to Max(weight) | "Klett & Sons Repair" is the cust_name | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | "Florida" is the state; "Jacksonville" is city_name; | city refers to city_name | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) |
Who was the customer of shipment no.1275? Give the customer's name. | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | "Olympic Camper Sales Inc" is the cust_name | first shipment refers to Min(ship_date); pounds refers to weight | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | in California refers to state = 'CA'; most populated city refers to Max(population) | oldest truck model refers to Min(model_year) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | manufactured in year 2009 refers to model_year = 2009 | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | "Klett & Sons Repair" is the cust_name |
How many cities are in Connecticut? | "Connecticut" is the state | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment no. 1346 refers to ship_id = 1346 | "manufacturer" is the cust_type | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | customer in Florida refers to state = 'FL' | live refers to address | "Olympic Camper Sales Inc" is the cust_name | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | in California refers to state = 'CA'; most populated city refers to Max(population) |
What is the full name of the driver that has done the most shipments in 2017? | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | "Connecticut" is the state | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "retailer" is the cust_type; IDs of shipments refers to ship_id | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, | shipment id 1003 refers to ship_id = 1003 |
Where does the driver of ship ID 1127 live? | live refers to address | "Cicero" is the city; 'Illinois' is the state | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | "California" is the state; least populated city refers to Min(population) | "retailer" is the cust_type; live in California refers to state = 'CA' | "retailer" is the cust_type; IDs of shipments refers to ship_id | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | city refers to city_name | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name |
Calculate the population density of the city as the destination of shipment no.1369. | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | "Peterbilt" is the make | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "7052 Carroll Road" is the address of customer; 'San Diego' is the city; 'California' is the state | "Florida" is the state; "Jacksonville" is city_name; | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | "California" is the state; least populated city refers to Min(population) | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | shipment no. 1346 refers to ship_id = 1346 | shipment id 1055 refers to ship_id = 1055 |
What is the full name of the driver who delivered the most shipments to the least populated city? | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | "Florida" is the state; "Jacksonville" is city_name; | shipment no. 1346 refers to ship_id = 1346 | "Klett & Sons Repair" is the cust_name | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | oldest truck model refers to Min(model_year) | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | "S K L Enterprises Inc" is the cust_name; total number of pounds refers to Sum(weight) | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "manufacturer" is the cust_type |
What is the first name of the driver who transported shipment id 1028? | shipment id 1028 refers to ship_id = 1028 | "S K L Enterprises Inc" is the cust_name; average = Divide (Sum(weight), Count(ship_id)) | "manufacturer" is the cust_type | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | manufactured in year 2009 refers to model_year = 2009 | on March 7, 2016 refers to ship_date = '2016-03-07' | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "Olympic Camper Sales Inc" is the cust_name | "Connecticut" is the state | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name |
What is the average shipment weight carried by the oldest Mack? | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | "Connecticut" is the state | first shipment refers to Min(ship_date); pounds refers to weight | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | "Florida" is the state; "Jacksonville" is city_name; | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | shipment id 1003 refers to ship_id = 1003 | "Olympic Camper Sales Inc" is the cust_name | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) |
In total, how many shipments were transported to Olympic Camper Sales Inc? | "Olympic Camper Sales Inc" is the cust_name | "Connecticut" is the state | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | "S K L Enterprises Inc" is the cust_name | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | "South Carolina" refers to state = 'SC'; first shipment refers to Min(ship_date) | city refers to city_name | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | "Downey" is the city_name; 'California' is the state, whose abbreviation is CA; in 2016 refers to year(ship_date) = 2016, |
Who is the driver that transported the lightest weight of shipment? Provide the full name of the driver. | lightest weight refers to Min(weight); full name refers to first_name, last_name | "Florida" is the state; "Jacksonville" is city_name; | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | most populated city refers to Max(population) | "retailer" is the cust_type; live in California refers to state = 'CA' | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | "Cicero" is the city; 'Illinois' is the state | brand of truck refers to make |
How many shipments with weight of no more than 1,000 pounds were shipped by the oldest truck? | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | "manufacturer" is the cust_type | shipment no. 1346 refers to ship_id = 1346 | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | least populated city refers to Min(population); fullname refers to first_name, last_name; most shipment refers to driver_id where Max(Count (ship_id)) | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | "California" is the state; least populated city refers to Min(population) | "New York" is the city_name; maximum weight refers to Max(weight) | "retailer" is the cust_type; IDs of shipments refers to ship_id |
List the ship ID of shipments shipped to the most populated city. | most populated city refers to Max(population) | shipment id 1003 refers to ship_id = 1003 | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | "S K L Enterprises Inc" is the cust_name; destination cities refers to city_name | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) | manufactured in year 2009 refers to model_year = 2009 | "Connecticut" is the state | lightest weight refers to Min(weight); full name refers to first_name, last_name |
How many shipments were shipped to the least populated city in California? | "California" is the state; least populated city refers to Min(population) | "manufacturer" is the cust_type | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | shipment id 1003 refers to ship_id = 1003 | lightest weight refers to Min(weight); full name refers to first_name, last_name | "New York" is the city_name; maximum weight refers to Max(weight) | customer in Florida refers to state = 'FL' | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | live refers to address |
How many of the shipments bound for New York City were shipped to Harry's Hot Rod Auto and Truck Accessories? | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | live refers to address | shipment id 1028 refers to ship_id = 1028 | shipment no. 1369 refers to ship_id = 1369; population density refers to Divide (area, population) | "Cicero" is the city; 'Illinois' is the state | "Klett & Sons Repair" is the cust_name | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | lightest weight refers to Min(weight); full name refers to first_name, last_name | "North Las Vegas" is the city_name | most populated city refers to Max(population) | weight of less than 65000 pounds refers to weight < 65000; average annual revenue refers to AVG(annual_revenue) |
What is the percentage of wholesaler customers who have shipment weight of not greater than 70000 pounds? | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | customer in Florida refers to state = 'FL' | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | "S K L Enterprises Inc" is the cust_name | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | shipment id 1055 refers to ship_id = 1055 | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | "Florida" is the state; "Jacksonville" is city_name; | "retailer" is the cust_type; IDs of shipments refers to ship_id | "Olympic Camper Sales Inc" is the cust_name | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) |
How many shipments were delivered by the oldest truck model? | oldest truck model refers to Min(model_year) | manufactured in year 2009 refers to model_year = 2009 | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | brand of truck refers to make | "manufacturer" is the cust_type | "North Las Vegas" is the city_name | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | "retailer" is the cust_type; IDs of shipments refers to ship_id | on March 7, 2016 refers to ship_date = '2016-03-07' |
How much more pounds in total were transported to New York than to Chicago? | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | brand of truck refers to make | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | customer in Florida refers to state = 'FL' | "Cicero" is the city; 'Illinois' is the state | "Peterbilt" is the make | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | in California refers to state = 'CA'; most populated city refers to Max(population) | shipment in February 2017 refers to ship_date LIKE '2017-02-%'; name of customer refers to cust_name | "retailer" is the cust_type; IDs of shipments refers to ship_id |
How many shipments were ordered by a customer in Florida? | customer in Florida refers to state = 'FL' | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | "Klett & Sons Repair" is the cust_name | "New York" and "Chicago" are both city_name; more pounds in total refers to Subtract (Sum(weight where city_name = 'New York'), Sum(weight where city_name = 'Chicago')) | "Connecticut" is the state | "Florida" is the state; "Jacksonville" is city_name; | "retailer" is the cust_type; IDs of shipments refers to ship_id | shipment id 1028 refers to ship_id = 1028 | live refers to address | "Cicero" is the city; 'Illinois' is the state |
How many customers are manufacturer? | "manufacturer" is the cust_type | "wholesaler" is the cust_type; weight of not greater than 70000 pounds refers to weight < 70000; percentage = Divide (Count(cust_id where weight < 70000), Count(cust_id)) * 100 | in 2016 refers to CAST(ship_date AS DATE) = 2016; make = 'Peterbilt' means headquarter is 'Texas (TX)', make = 'Mack' means headquarter is 'North Carolina (NC)', make = 'Kenworth' means headquarter is 'Washington (WA)'; highest shipment refers to MAX(COUNT(ship_id)) | manufactured in year 2009 refers to model_year = 2009 | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | in California refers to state = 'CA'; most populated city refers to Max(population) | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | city refers to city_name | oldest truck model refers to Min(model_year) | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | lightest weight refers to Min(weight); full name refers to first_name, last_name |
Give the full name of driver who transported the items on 3/2/2016. | on 3/2/2016 refers to ship_date = '2016-02-03'; full name refers to first_name, last_name | "Florida" is the state; "Jacksonville" is city_name; | "Autoware Inc" is the cust_name; percentage = Divide (Count(ship_id where cust_name = 'Autoware Inc'), Count(ship_id)) * 100 | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name | "Connecticut" is the state | shipment no. 1346 refers to ship_id = 1346 | January 16, 2017 refers to ship_date = '2017-01-16'; city refers to city_name | shipment id 1055 refers to ship_id = 1055; brand refers to make; model refers to model_year | "New York" is the city_name; 'Harry's Hot Rod Auto & Truck Accessories' is the cust_name | "Mack" is the make; oldest refers to Min(model_year); average shipment weight refers to AVG(weight) | "Cicero" is the city; 'Illinois' is the state |
Among the top 5 heaviest shipments, how many shipments were transported via Mack? | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | "S K L Enterprises Inc" is the cust_name; in 2017 refers to Cast(ship_date AS DATE) = 2017 | "California" is the state; least populated city refers to Min(population) | shipment with weight greater than 50000 pounds refers to Sum(weight) > 50000 | "2005" and "2006" are both model_year of truck; difference = Subtract (Count (ship_id where model_year = 2005), Count(ship_id where model_year = 2006)) | first shipment refers to Min(ship_date); pounds refers to weight | "Cicero" is the city; 'Illinois' is the state | "retailer" is the cust_type; live in California refers to state = 'CA' | shipment id 1028 refers to ship_id = 1028 | shipment no. 1045 refers to ship_id = 1045; headquarter refers to if make = 'Peterbit', then 'Texax(TX)', if make = 'Mack', then 'North Carolina (NC)'; if make = 'Kenworth', then 'Washington (WA)' | shipment no. 1275 refers to ship_id = 1275; customer name refers to cust_name |
List the driver's name of the shipment shipped on February 22, 2016. | on February 22, 2016 refers to ship_date = '2016-02-22'; driver's name refers to first_name, last_name | shipment no. 1021 refers to ship_id = 1021; name refers to first_name, last_name | shipment id 1055 refers to ship_id = 1055 | weight of no more than 1000 pounds refers to weight < 1000; oldest truck refers to Min (model_year) | shipment ID refers to ship_id; heaviest shipment refers to Max(weight) | "manufacturer" is the cust_type | driver refers to driver_id; full name refers to first_name, last_name; in 2017 refers to Cast(ship_date AS DATE) = 2017; Most shipment refers to Max(Sum(weight)) | heaviest shipment refers to Max(weight); via Mack refers to make = 'Mack' | "Texas" refers to state = 'TX'; 'manufacturer' is the cust_type; percentage = Divide (Count(cust_id where state = 'TX'), Count(cust_id)) * 100 | lightest weight refers to Min(weight); full name refers to first_name, last_name | "S K L Enterprises Inc" is the cust_name |
In which year has the greatest number of cases where Handgun was used as weapon? | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | subject were deceased refers to subject_statuses = 'Deceased' | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' |
List all cases from the year 2012 in which the subject was deceased | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% |
What is the percentage of the cases involved more than 3 officers from year 2010 to 2015? | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% |
How many instances were found in June 2015? | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | subject were deceased refers to subject_statuses = 'Deceased' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' |
Did the number of cases with Vehicle as subject weapon increase or decrease from year 2007 to 2008. State the difference. | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | subject were deceased refers to subject_statuses = 'Deceased' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' |
From the 'Injured' statuses of the subject, what is the ratio of weapons used are knife against handgun? | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' |
What is the proportion of white males and females in the police force? | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | subject were deceased refers to subject_statuses = 'Deceased' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' |
From the cases where the subject were deceased, list the subject's last name, gender, race and case number. | subject were deceased refers to subject_statuses = 'Deceased' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% |
In how many cases where the subject was a female was the subject's status listed as Deceased? | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% |
How many incidents in which the subject's weapon was a vehicle were investigated by a female officer? | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | subject were deceased refers to subject_statuses = 'Deceased' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' |
How many more black female victims than white female victims were discovered? | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | subject were deceased refers to subject_statuses = 'Deceased' | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% |
Which near-death incident did a policeman by the name of Ruben Fredirick look into? What is the victim in this incident's race and gender? | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | subject were deceased refers to subject_statuses = 'Deceased' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% |
Among the 'Handgun' weapon used by subject, how many percent were 'Shoot and Miss'? | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | the 'Shoot and Miss' status refers to subject_statuses = 'Shoot and Miss'; knife refers to subject_weapon = 'knife'; toy handgun refers to subject_weapon = 'toy handgun'; ratio = divide(count(case_number where subject_weapon = 'knife'), count(case_number where subject_weapon = 'toy handgun')) where subject_statuses = 'Shoot and Miss' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | subject were deceased refers to subject_statuses = 'Deceased' |
What is the percentage of subject who are female used the Vehicle as weapon? | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | subject were deceased refers to subject_statuses = 'Deceased' | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' |
Who are the officers involved in cases that are voted as 'No Bill'. List their last name and gender. | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | subject were deceased refers to subject_statuses = 'Deceased' | black refers to race = 'B'; female refers to gender = 'F'; white refers to race = 'W'; result = subtract(count(victims where race = 'B'), count(victims where race = 'W')) where gender = 'F' | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | female refers to gender = 'F'; subject's status listed as Deceased refers to subject_statuses = 'Deceased' | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | female refers to gender = 'F'; use Vehicle as weapon refers to subject_weapon = 'Vehicle'; percentage = divide(count(case_number where subject_weapon = 'Vehicle'), count(case_number)) where gender = 'F' * 100% |
Among all the male officers, what is the percentage of them are White? | male refers to gender = 'M'; white refers to race = 'W'; percentage = divide(count(officers where race = 'W'), count(officers)) where gender = 'M' * 100% | in June 2015 refers to date between '2015-06-01' and '2015-06-30'; record number refers to case_number | case refers to case_number; year 2012 refers to date between '2012-01-01' and '2012-12-31'; subject was deceased refers to subject_statuses = 'Deceased' | subject's weapon was a vehicle refers to subject_weapon = 'Vehicle'; female refers to gender = 'F' | 'Handgun' weapon refers to subject_weapon = 'Handgun'; 'Shoot and Miss' refers to subject_statuses = 'Shoot and Miss'; percent = divide(count(incidents where subject_statuses = 'Shoot and Miss'), count(incidents)) where subject_weapon = 'Handgun' * 100% | voted as 'No Bill' refers to grand_jury_disposition = 'No Bill' | subject were deceased refers to subject_statuses = 'Deceased' | more than 3 officers refers to officer_count > 3; from year 2010 to 2015 refers to date between '2010-01-01' and '2015-12-31'; percentage = divide(count(case_number where officer_count > 3), count(case_number)) where date between '2010-01-01' and '2015-12-31' * 100% | year refers to year(date); the greatest number of cases refers to max(count(case_number)); OS Spray was used as weapon refers to subject_weapon = 'OS Spray' | near-death refers to subject_statuses = 'Deceased Injured'; incident refers to case_number; Ruben Fredirick refers to full_name = 'Ruben Fredirick' | number of cases refers to count(case_number); with Vehicle as subject weapon refers to subject_weapon = 'Vehicle'; year 2007 refers to date between '2007-01-01' and '2007-12-31'; year 2008 refers to date between '2008-01-01' and '2008-12-31' |
What is the birth place of the cast or crew member who won the Best Voice-Over Performance in Online Film & Television Association in 2009? | won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009 | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | voice over for and was awarded refers to award like '%Voice-Over%'; | Outstanding Voice-Over Performance refers to award = 'Outstanding Voice-Over Performance'; who won refers to result = 'Winner'; Emmy refers to organization = 'Primetime Emmy Awards'; playing Homer simpson 20 refers to character = 'Homer simpson 20' | nominated refers to result = 'Nominee'; Annie Awards refers to organization = 'Annie Awards'; percent greater than 6 refers to percent > 6 | credited cast refers to category = 'Cast' and credited = 'true'; episode "In the Name of the Grandfather" refers to title = 'In the Name of the Grandfather' | born before 1970 refers to birthdate < '1970-01-01' | lowest rating refers to Min(rating) | nominees refers to result = 'Nominee'; born in USA refers to birth_country = 'USA'; percentage = divide(sum(result = 'Nominee' and birth_country = 'USA'), count(Person.name)) * 100% | from countries other than the USA refers to birth_country ! = 'USA' | "Pamela Hayden" is the person; voice the character 'Ruthie' refers to role = 'Ruthie' |
Which episode of The simpson 20s: Season 20 has received the most nominations? Indicate the title. | received the most nomination refers to MAX(COUNT(episode_id)) | in Season 20 Episode 11 refers to episode_id = 'S20-E11'; 'Doofus' is the nickname of person; include in credit list refers to credited = 'true' | won refers to result = 'Winner'; first award refers to Min(year) | co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee' | in 2010 refers to year = 2010; winning rate refers to DIVIDE(COUNT(result = 'winner'), COUNT(*)); | website address refers to episode_image | star score greater than 5 refers to stars > 5; have air date in 2008 refers to air_date LIKE '2008%' | aired in 2008 refers to air_date like '2008%'; highest number of votes refers to MAX(votes); maximum star rating refers to stars = 10 | "Outstanding Voice-Over Performance" is the award; 'Primetime Emmy Awards' is the organization; awardee refers to result = 'Winner'; first ever award refers to Min(year); age at the time of awarded refers to Subtract(year, SUBSTR(birthdate, 0, 5)) | director refers to role = 'director' | nominated refers to result = 'Nominee'; Annie Awards refers to organization = 'Annie Awards'; percent greater than 6 refers to percent > 6 |
Which episode did the composer win for Outstanding Music Composition for a Series (Original Dramatic Score) with more than 200 votes? | more than 200 votes refer to votes > 200; composer refers to role = 'composer'; Outstanding Music Composition for a Series (Original Dramatic Score) refers to award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' | born in USA refers to birth_country = 'USA'; were nominated refers to result = 'Nominee'; 'Outstanding Animated Program (For Programming Less Than One Hour)' is the award; in 2009 refers to year = 2009 | episode 426 refers to number_in_series = 426 | winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%
| largest number of votes refers to MAX(votes) | 2 stars refers to stars = 2; 9 votes refers to votes = 9 | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | episode "Lisa the Drama Queen" refers to title = 'Lisa the Drama Queen'; | name refers to person; the role Smithers refers to character = 'Smithers' | average awards winning rate refers to DIVIDE(SUM(result = 'winner'), COUNT(award)); | "riot" and "cake" are both keyword |
How many WGA Award (TV) award recipients were born in the USA from 2009 to 2010? | WGA Award (TV) award refers to award_category = 'WGA Award (TV)'; born in the USA refers to birth_country = 'USA'; from 2009 to 2010 refers to birthdate BETWEEN '2019-01-01' and '2019-12-31' | voice over for and was awarded refers to award like '%Voice-Over%'; | from countries other than the USA refers to birth_country ! = 'USA' | aired in 2008 refers to air_date like '2008%'; highest number of votes refers to MAX(votes); maximum star rating refers to stars = 10 | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | "Billy Kimball" is the person; award name refers to award; credited category refers to category; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa | "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person | largest number of votes refers to MAX(votes) | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | director refers to role = 'director' | won refers to result = 'Winner'; first award refers to Min(year) |
State the birth name of crews who are director and have birth country in South Korea. | director refers to role = 'director' | "Billy Kimball" is the person; award name refers to award; credited category refers to category; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa | episodes from 10 to 20 refers to episode BETWEEN 10 and 20; more than 200 votes refers to COUNT(votes) > 200 | star score of 10 refers to stars = 10 | rating below 7 refers to rating < 7 | "Dell Hake" is the person; not included in the credit list refers to credited = '' | writer refers to role = 'Writer'; most 10 star votes refers to max(votes) where stars = 10 | "Outstanding Voice-Over Performance" is the award; 'Primetime Emmy Awards' is the organization; awardee refers to result = 'Winner'; first ever award refers to Min(year); age at the time of awarded refers to Subtract(year, SUBSTR(birthdate, 0, 5)) | aired between October to November refers to strftime('%m', air_date) between '10' and '11'; | "riot" and "cake" are both keyword | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 |
What is the average height of people from USA? | people from USA refers to birth_country = 'USA'; average height = AVG(height_meters) | winners refers to result = 'Winner'; in OFTA Television Award and WGA Award (TV) refers to award = 'OFTA Television Award' and award = 'WGA Award (TV)' | from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department' | held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner' | winner refers to result = 'Winner'; Best International TV Series in 2017 refers to award = 'Best International TV Series' and year = '2017'
| is credited refers to credited = 'true'; | "Primetime Emmy' is the award_category; rating over 7 refers to rating > 7; nominated refers to result = 'Nominee'; percentage = Divide(Count(episode_id(award_category = 'Primetime Emmy')), Count (episode_id)) * 100 | winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%
| more than 1000 votes refers to votes > 1000 | "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner' | stars score of 10 at 30% and above refers to stars = 10 and percent > 29 |
Name the title of the episode where Pamela Hayden voiced the character 'Ruthie.' | "Pamela Hayden" is the person; voice the character 'Ruthie' refers to role = 'Ruthie' | "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner' | website address refers to episode_image | additional timers refers to role = 'additional timer'; born in USA refers to birth_country = 'USA' | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 | "Matt Groening" is the person; 'In the Name of the Grandfather' is the title of episode; episode number refers to episode; series number refers to number_in_series | height refers to height_meters; not in credit list refers to credited = ''; category of casting refers to category = 'Casting Department' | director refers to role = 'director' | in November 2008 refers to air_date LIKE '2008-11%' | episode "Take My Life, Please" refers to title = 'Take My Life, Please' | worst rated episode refers to MIN(rating) |
What is the name of the person that has the highest number of nominated award but didn't win? | nominated refers to result = 'Nominee'; highest number of nominated award refers to Max(Count(person)) | "Take My Life,Please" is the title of episode | being nominated refers to result = 'Nominee'; percentage = divide(count(result = 'Nominee'), count(result)) * 100% | "Dan Castellaneta" is the person; won refers to result = 'Winner'; 'Outstanding Voice-Over Performance' is the award; 'Primetime Emmy Awards' is the organization; in 2009 refers to year = 2009 | in 2009 refers to year = 2009 | "New York" is the birth_place; 'USA' is the birth_region | scores 5 to 10 refers to TOTAL(percent) where 1 < = stars < 5 | won refers to result = 'Winner'; in 2017 refers to year = 2017 | are not included in the credit list refers to credited = '' | held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner' | Primetime Emmy Award refers to award_category = 'Primetime Emmy' |
What is the title of episode with 5 stars and nominated for Prism Award which is aired on April 19, 2009? | 5 stars refers to stars = 5; nominated refers to result = 'Nominee'; Prism Award refers to award_category = 'Prism Award'; on April 19 2009 refers to air_date = '2009-04-19' | winner refers to result = 'Winner'; Best International TV Series in 2017 refers to award = 'Best International TV Series' and year = '2017'
| additional timers refers to role = 'additional timer'; born in USA refers to birth_country = 'USA' | writer refers to role = 'writer'; star score greater than 5 refers to stars > 5; in 2009 refers to year = 2009 | from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department' | height refers to height_meters; not in credit list refers to credited = ''; category of casting refers to category = 'Casting Department' | produced by Jason Bikowski refers to person = 'Jason Bikowski' | Primetime Emmy Award refers to award_category = 'Primetime Emmy' | award winner refers to result = 'Winner'; 'USA' is the birth_country | "The Tiny Canadian" refers to nickname = 'The Tiny Canadian'; play as in the show refers to role
| rating below 7 refers to rating < 7 |
Among episodes from 10 to 20, which episode has more than 200 votes? | episodes from 10 to 20 refers to episode BETWEEN 10 and 20; more than 200 votes refers to COUNT(votes) > 200 | nominated refers to result = 'Nominee'; Annie Awards refers to organization = 'Annie Awards'; percent greater than 6 refers to percent > 6 | aired in 2008 refers to air_date LIKE '2008%'; votes ranges from 920 to 950 refers to votes BETWEEN 920 AND 950 | director refers to role = 'director' | between the episode 5 and 10 of season 20 refers to episode_id IN('S20-E5', 'S20-E6', 'S20-E7', 'S20-E8', 'S20-E9', 'S20-E10'); credited refers to credited = 'true'; for casting refers to role = 'casting' | winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%
| in Season 20 Episode 11 refers to episode_id = 'S20-E11'; 'Doofus' is the nickname of person; include in credit list refers to credited = 'true' | award won refers to result = 'Winner' | height refers to height_meters; not in credit list refers to credited = ''; category of casting refers to category = 'Casting Department' | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | "Dan Castellaneta" is the person; won refers to result = 'Winner'; 'Outstanding Voice-Over Performance' is the award; 'Primetime Emmy Awards' is the organization; in 2009 refers to year = 2009 |
Among the crew members of the simpson 20s born in the New York city, how many of them were born after the year 1970? | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | crew refers to Person; full name refers to name; have nickname refers to nickname IS NOT NULL | co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee' | more than 200 votes refer to votes > 200; composer refers to role = 'composer'; Outstanding Music Composition for a Series (Original Dramatic Score) refers to award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' | In 2010 refers to year = 2010 | rating below 7 refers to rating < 7 | held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner' | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 | co-executive producer refers to role = 'co-executive producer'; higher than 1.60 meters refers to height_meters > 1.60 | star score greater than 8 refers to stars > 8 |
What award did the character Homer simpson 20 achieve in 2009? | in 2009 refers to year = 2009 | "Favorite Animated Comedy" is the award; 'People's Choice Award' is the award_category; received award refers to result = 'Winner'; first ever award refers to Min(year) | from countries other than the USA refers to birth_country ! = 'USA' | oldest refers to Min(birthdate) | best rating scale refers to stars = 10 | nominated refers to result = 'Nominee'; Annie Awards refers to organization = 'Annie Awards'; percent greater than 6 refers to percent > 6 | stars greater than the 70% of average stars refers to stars > multiply(avg(stars), 0.7) | "Primetime Emmy' is the award_category; rating over 7 refers to rating > 7; nominated refers to result = 'Nominee'; percentage = Divide(Count(episode_id(award_category = 'Primetime Emmy')), Count (episode_id)) * 100 | average awards winning rate refers to DIVIDE(SUM(result = 'winner'), COUNT(award)); | "Outstanding Voice-Over Performance" is the award; 'Primetime Emmy Awards' is the organization; awardee refers to result = 'Winner'; first ever award refers to Min(year); age at the time of awarded refers to Subtract(year, SUBSTR(birthdate, 0, 5)) | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 |
What is the awarded category that the awarded character Lenny won? |
awarded category refers to award_category | episodes from 10 to 20 refers to episode BETWEEN 10 and 20; more than 200 votes refers to COUNT(votes) > 200 | nominated for Primetime Emmy Award but did not win refers to award_category = 'Primetime Emmy' and result = 'Nominee'; from 2009 to 2010 refers to year > = '2009' and year < = '2010' | highest number of vote of the star score refers to max(votes) | 2 stars refers to stars = 2; 9 votes refers to votes = 9 | episode S20-E1, S20-E2 & S20-E3 refers to episode_id = 'S20-E1' and episode_id = 'S20-E2' and episode_id = 'S20-E3' | highest votes refers to max(votes); to Carlton Batten refers to person = 'Carlton Batten' | "riot" and "cake" are both keyword | born in the USA refers to birth_country = 'USA' | voiced refers to role; role = 'Helen Lovejoy" | aired in 2008 refers to air_date LIKE '2008%'; 5 stars and below refers to stars < 5 |
How many episodes have the star score greater than 8? | star score greater than 8 refers to stars > 8 | won the award refers to result = 'Winner'; in 2009 refers to year = 2009 | produced by Jason Bikowski refers to person = 'Jason Bikowski' | winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%
| average high = Divide(Sum(height_meters), Count(name)) | in 2009 refers to year = 2009; name of awarded character refers to character
| 2 stars refers to stars = 2; 9 votes refers to votes = 9 | from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department' | won refers to result = 'Winner'; first award refers to Min(year) | episode "Lisa the Drama Queen" refers to title = 'Lisa the Drama Queen'; | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) |
What character did Dan Castellaneta play that won him an award for Outstanding Voice-Over Performance in 2009 in the Primetime Emmy Awards? | "Dan Castellaneta" is the person; won refers to result = 'Winner'; 'Outstanding Voice-Over Performance' is the award; 'Primetime Emmy Awards' is the organization; in 2009 refers to year = 2009 | award winner refers to result = 'Winner'; 'USA' is the birth_country | "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner' | "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person | nominated episodes refers to result = 'Nominee'; percentage of votes = DIVIDE(SUM(result = 'Nominee), SUM(Votes)) as percentage | largest number of votes refers to MAX(votes) | average high = Divide(Sum(height_meters), Count(name)) | stars greater than the 70% of average stars refers to stars > multiply(avg(stars), 0.7) | more than 100 votes refers to votes > 100 | is credited refers to credited = 'true'; | star score of 10 refers to stars = 10 |
Please indicate which writer has an episode star score greater than 5 in 2009. | writer refers to role = 'writer'; star score greater than 5 refers to stars > 5; in 2009 refers to year = 2009 | in 2009 refers to year = 2009 | percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage | won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009 | episode 'Take My Life, Please' refers to title = 'Take My Life, Please' | aired on 11/30/2008 refers to air_date = '11/30/2008'; win refers to result = 'Winner' | "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person | received the most nomination refers to MAX(COUNT(episode_id)) | episodes from 10 to 20 refers to episode BETWEEN 10 and 20; more than 200 votes refers to COUNT(votes) > 200 | height refers to height_meters; not in credit list refers to credited = ''; category of casting refers to category = 'Casting Department' | people from USA refers to birth_country = 'USA'; average height = AVG(height_meters) |
How many episodes have more than 1000 votes? | more than 1000 votes refers to votes > 1000 | "Matt Groening" is the person; 'In the Name of the Grandfather' is the title of episode; episode number refers to episode; series number refers to number_in_series | won the award refers to result = 'Winner'; in 2009 refers to year = 2009 | between October and November 2008 refers to air_date BETWEEN '2008-10-01' and '2008-11-30' | name refers to person; the role Smithers refers to character = 'Smithers' | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 | are not included in the credit list refers to credited = '' | prospective recipients refers to result = 'Nominee' | "Dan Castellaneta" is the person; won refers to result = 'Winner'; 'Outstanding Voice-Over Performance' is the award; 'Primetime Emmy Awards' is the organization; in 2009 refers to year = 2009 | in 2009 refers to year = 2009; name of awarded character refers to character
| voiced refers to role; role = 'Helen Lovejoy" |
Among the episodes aired in 2008 with votes ranges from 920 to 950, list their percent. | aired in 2008 refers to air_date LIKE '2008%'; votes ranges from 920 to 950 refers to votes BETWEEN 920 AND 950 | have air date in 2008 refers to air_date LIKE '2008%' | highest votes refers to max(votes); nominated refers to result = 'Nominee' | co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee' | "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person | in 2010 refers to year = 2010; nominations refers to result = 'Nominee' | won refers to result = 'Winner'; in Primetime Emmy Awards refers to organization = 'Primetime Emmy Awards'; 2009 refers to year = 2009 | star score of 10 refers to stars = 10 | episode 426 refers to number_in_series = 426 | 5th episode refers to episode = 5 | "Billy Kimball" is the person; award name refers to award; credited category refers to category; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa |
Write down the summary of episode whereby it has crew members that are not included in the credit list. | are not included in the credit list refers to credited = '' | have air date in 2008 refers to air_date LIKE '2008%' | award winner refers to result = 'Winner'; 'USA' is the birth_country | most recent refers to MAX(year); received refers to result = 'Winner'; name of award refers to award; category refers to award_category | "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner' | in 2010 refers to year = 2010; nominations refers to result = 'Nominee' | held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner' | from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department' | additional timers refers to role = 'additional timer'; born in USA refers to birth_country = 'USA' | rating below 7 refers to rating < 7 | more than 100 votes refers to votes > 100 |
Which episode id did award Outstanding Animated Program (For Programming Less Than One Hour) with an episode star score of 10? | star score of 10 refers to stars = 10 | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | more than 100 votes refers to votes > 100 | co-executive producer refers to role = 'co-executive producer'; higher than 1.60 meters refers to height_meters > 1.60 | aired in 2008 refers to air_date like '2008%'; highest number of votes refers to MAX(votes); maximum star rating refers to stars = 10 | episode 'Take My Life, Please' refers to title = 'Take My Life, Please' | in 2009 refers to year = 2009; name of awarded character refers to character
| won refers to result = 'Winner'; first award refers to Min(year) | episode "Lisa the Drama Queen" refers to title = 'Lisa the Drama Queen'; | "Billy Kimball" is the person; award name refers to award; credited category refers to category; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa | percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage |
What is the percentage of star score 5 that was collected by title "Sex, Pies and Idiot Scrapes"? | percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage | nominated refers to result = 'Nominee'; Annie Awards refers to organization = 'Annie Awards'; percent greater than 6 refers to percent > 6 | aired in 2008 refers to air_date like '2008%'; highest number of votes refers to MAX(votes); maximum star rating refers to stars = 10 | average awards winning rate refers to DIVIDE(SUM(result = 'winner'), COUNT(award)); | writer refers to role = 'Writer'; most 10 star votes refers to max(votes) where stars = 10 | "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner' | "New York" is the birth_place; 'USA' is the birth_region | award winner refers to result = 'Winner'; 'USA' is the birth_country | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 | voice over for and was awarded refers to award like '%Voice-Over%'; | website address refers to episode_image |
How old was the awardee when he/she won the first-ever award for Outstanding Voice-Over Performance in Primetime Emmy Awards? | "Outstanding Voice-Over Performance" is the award; 'Primetime Emmy Awards' is the organization; awardee refers to result = 'Winner'; first ever award refers to Min(year); age at the time of awarded refers to Subtract(year, SUBSTR(birthdate, 0, 5)) | star score of 10 refers to stars = 10 | information about the music department refers to category = 'Music Department' | in 2010 refers to year = 2010; winning rate refers to DIVIDE(COUNT(result = 'winner'), COUNT(*)); | born before 1970 refers to birthdate < '1970-01-01' | prospective recipients refers to result = 'Nominee' | director refers to role = 'director' | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | produced by Jason Bikowski refers to person = 'Jason Bikowski' | highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes)) | more than 100 votes refers to votes > 100 |
How many crew members who were born in the USA were nominated for the Outstanding Animated Program (For Programming Less Than One Hour) award in 2009? | born in USA refers to birth_country = 'USA'; were nominated refers to result = 'Nominee'; 'Outstanding Animated Program (For Programming Less Than One Hour)' is the award; in 2009 refers to year = 2009 | In 2010 refers to year = 2010 | in 2009 refers to year = 2009 | "Billy Kimball" is the person; award name refers to award; credited category refers to category; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa | 5 stars votes refers to stars = 5 ; 'No Loan Again, Naturally' and 'Coming to Homerica' are both the title of episode; ratio = Divide (votes where title = 'No Loan Again, Naturally', votes where title = 'Coming to Homerica') | aired in 2008 refers to air_date like '2008%'; highest number of votes refers to MAX(votes); maximum star rating refers to stars = 10 | won refers to result = 'Winner'; in 2017 refers to year = 2017 | percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage | writer refers to role = 'writer'; star score greater than 5 refers to stars > 5; in 2009 refers to year = 2009 | stars score of 10 at 30% and above refers to stars = 10 and percent > 29 | nominated episodes refers to result = 'Nominee'; percentage of votes = DIVIDE(SUM(result = 'Nominee), SUM(Votes)) as percentage |
List the name of persons who were not included in the credit for the 'How the Test Was Won' episode. | "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person | star score greater than 8 refers to stars > 8 |
awarded category refers to award_category | taller than 1.70m refers to height_meters > 1.70; born in Canada refers to birth_country = 'Canada' | people from USA refers to birth_country = 'USA'; average height = AVG(height_meters) | co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee' | award winner refers to result = 'Winner'; 'USA' is the birth_country | are not included in the credit list refers to credited = '' | won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009 | winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%
| "Dell Hake" is the person; not included in the credit list refers to credited = '' |
How many episodes was Dell Hake not included in the credit list? | "Dell Hake" is the person; not included in the credit list refers to credited = '' | in 2009 refers to year = 2009; name of awarded character refers to character
| best rating scale refers to stars = 10 | most recent refers to MAX(year); received refers to result = 'Winner'; name of award refers to award; category refers to award_category | "Marc Wilmore" is the name of person | "riot" and "cake" are both keyword | episode 426 refers to number_in_series = 426 | born in New York city refers to birth_region = 'New York'; born after year 1970 refers to ('%Y', birthdate) > 1970 | 2 stars refers to stars = 2; 9 votes refers to votes = 9 | won refers to result = 'Winner'; in Primetime Emmy Awards refers to organization = 'Primetime Emmy Awards'; 2009 refers to year = 2009 | episode "Lisa the Drama Queen" refers to title = 'Lisa the Drama Queen'; |
What is the title of the episode that received the lowest rating? | lowest rating refers to Min(rating) | "New York" is the birth_place; 'USA' is the birth_region | more than 100 votes refers to votes > 100 | held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner' | stars greater than the 70% of average stars refers to stars > multiply(avg(stars), 0.7) | in 2009 refers to year = 2009 | "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8 | nominated refers to result = 'Nominee'; highest number of nominated award refers to Max(Count(person)) | people from USA refers to birth_country = 'USA'; average height = AVG(height_meters) | highest votes refers to max(votes); nominated refers to result = 'Nominee' | "Favorite Animated Comedy" is the award; 'People's Choice Award' is the award_category; received award refers to result = 'Winner'; first ever award refers to Min(year) |
How many of the crew members who are taller than 1.70m were born in Canada? | taller than 1.70m refers to height_meters > 1.70; born in Canada refers to birth_country = 'Canada' | won refers to result = 'Winner'; in 2017 refers to year = 2017 | from Animation Department refers to category = 'Animation Department'; AVG(height_meters) where category = 'Animation Department' | largest number of votes refers to MAX(votes) | stars score of 10 at 30% and above refers to stars = 10 and percent > 29 | voiced refers to role; role = 'Helen Lovejoy" | highest votes refers to max(votes); nominated refers to result = 'Nominee' | won refers to result = 'Winner'; in Primetime Emmy Awards refers to organization = 'Primetime Emmy Awards'; 2009 refers to year = 2009 | "Matt Groening" is the person; 'In the Name of the Grandfather' is the title of episode; episode number refers to episode; series number refers to number_in_series | nominated episodes refers to result = 'Nominee'; percentage of votes = DIVIDE(SUM(result = 'Nominee), SUM(Votes)) as percentage | won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009 |
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