domyn/FINCH · Datasets at Hugging Face

question_id int64 1 75.7k	db_id stringclasses 33 values	db_name stringclasses 4 values	question stringlengths 19 259	partition stringclasses 4 values	difficulty stringclasses 3 values	SQL stringlengths 25 862
201	regional_sales	bird	How many orders have order date in 5/31/2018?	train	easy	select sum(iif(orderdate = '5/31/18', 1, 0)) from `sales orders`
202	regional_sales	bird	List out the name of orders which have delivery date of 6/13/2018.	train	easy	select distinct t from ( select iif(deliverydate = '6/13/18', ordernumber, null) as t from `sales orders` ) where t is not null
203	regional_sales	bird	How many orders placed were with more than 5 product quantities?	train	easy	select sum(iif(`order quantity` > 5, 1, 0)) from `sales orders`
204	regional_sales	bird	State the full name of state code "GA".	train	easy	SELECT t FROM (SELECT IIF(statecode = 'ga', state, NULL) AS t FROM regions) WHERE NOT t IS NULL
205	regional_sales	bird	How many states located in the Midwest region?	train	easy	SELECT COUNT(DISTINCT t) FROM (SELECT CASE WHEN region = 'midwest' THEN statecode ELSE NULL END AS t FROM regions) WHERE NOT t IS NULL
206	regional_sales	bird	List out the product name of order which has unit cost of 781.22.	train	hard	select t from ( select distinct iif(t1.`unit cost` = 781.22, t2.`product name`, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null
207	regional_sales	bird	State the delivery date of cookware.	train	hard	select t from ( select distinct iif(t2.`product name` = 'cookware', t1.deliverydate, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null
208	regional_sales	bird	How many furniture cushions orders which have date of order in 2018?	train	hard	select sum(case when t1.orderdate like '%/%/18' and t2.`product name` = 'furniture cushions' then 1 else 0 end) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid
209	regional_sales	bird	List out the name of products which have been applied 10% discount.	train	hard	select t from ( select distinct iif(t1.`discount applied` = 0.1, t2.`product name`, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null
210	regional_sales	bird	Calculate the average net profit of phones which have sales channel of distributor.	train	hard	select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'phones' and t1.`sales channel` = 'distributor'
211	regional_sales	bird	Calculate the average net profit of bar tools which has ordered quantity exceed 5.	train	hard	select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'bar tools' and t1.`order quantity` > 5
212	regional_sales	bird	List out the city name of states located in South region.	train	hard	select t from ( select distinct case when t1.region = 'south' then t2.`city name` end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode ) where t is not null
213	regional_sales	bird	What is the region of stores which have type of "Town" in the list?	train	hard	select t from ( select distinct case when t2.type = 'town' then t1.region end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode ) where t is not null
214	regional_sales	bird	How many orders that Medsep Group had made?	train	hard	select sum(case when t1.`customer names` = 'medsep group' then 1 else 0 end) from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid
215	regional_sales	bird	List out the discount levels applied for all orders from Ole Group.	train	hard	select t from ( select distinct case when t1.`customer names` = 'ole group' then t2.`discount applied` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null
216	regional_sales	bird	State the customer name of orders which has shipped date in 7/8/2018.	train	hard	select t from ( select distinct case when t2.shipdate = '7/8/18' then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null
217	regional_sales	bird	Among the orders placed by Ei, how many orders have quantity greater than 4?	train	hard	select sum(case when t1.`order quantity` > 4 and t2.`customer names` = 'ei ' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid
218	regional_sales	bird	Among the orders placed by Pacific Ltd, how many orders have been applied 5% discount ?	train	hard	select sum(case when t1.`discount applied` = 0.05 and t2.`customer names` = 'pacific ltd' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid
219	regional_sales	bird	What is the customer names of orders which have unit cost greater than 4000USD?	train	hard	select t from ( select distinct case when t2.`unit cost` > 4000 then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null
220	regional_sales	bird	Please list the id and detailed position of all stores in Birmingham city.	train	easy	select storeid, latitude, longitude from `store locations` where `city name` = 'birmingham'
221	regional_sales	bird	Which city has the largest population?	train	hard	select `city name` from `store locations` order by population desc limit 1
222	regional_sales	bird	How many CDP stores are there in California?	train	easy	select sum(case when state = 'california' and type = 'cdp' then 1 else 0 end) from `store locations`
223	regional_sales	bird	Please give the order number and product name of the order which has the lowest unit price.	train	hard	select t1.ordernumber, t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid order by replace(t1.`unit price`, ',', '') limit 1 )
224	regional_sales	bird	Which product has the highest net profit in 2019?	train	hard	select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.orderdate like '%/%/19' order by replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') desc limit 1
225	regional_sales	bird	What is the average unit price of a Cookware product?	train	hard	select avg(replace(t1.`unit price`, ',', '')) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'cookware'
226	regional_sales	bird	Please list all sale team names which had orders on 5/31/2018.	train	hard	select t from ( select distinct case when t1.orderdate = '5/31/18' then t2.`sales team` else null end as t from `sales orders` t1 inner join `sales team` t2 on t2.salesteamid = t1._salesteamid ) where t is not null
227	regional_sales	bird	Which sales team name has the least orders in 2019?	train	hard	select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.orderdate like '%/%/19' group by t2.`sales team` order by count(t1.ordernumber) asc limit 1
228	regional_sales	bird	From 2018 to 2020, which year did the George Lewis group have the highest number of orders?	train	hard	select substr(t1.orderdate, -2, 2) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'george lewis' group by substr(t1.orderdate, -2, 2) order by count(t1.ordernumber) desc limit 1
229	regional_sales	bird	What is the percentage of total orders from stores in Orange County in 2018?	train	hard	select cast(sum(case when t2.county = 'orange county' then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate like '%/%/18'
230	regional_sales	bird	Which order number has the highest unit price?	train	medium	select ordernumber from `sales orders` where replace(`unit price`, ',', '') = ( select replace(`unit price`, ',', '') from `sales orders` order by replace(`unit price`, ',', '') desc limit 1 )
231	regional_sales	bird	Which sales team id has the highest number of orders in 2018?	train	medium	select _salesteamid from `sales orders` where orderdate like '%/%/18' group by _salesteamid order by count(_salesteamid) desc limit 1
232	regional_sales	bird	What is the unit cost of order SO - 000103?	train	easy	select distinct t from ( select iif(ordernumber = 'so - 000103', `unit cost`, null) as t from `sales orders` ) where t is not null
233	regional_sales	bird	In 2020, what were the total orders of all stores in Maricopa County?	train	hard	select sum(case when t2.county = 'maricopa county' and orderdate like '%/%/20' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid
234	regional_sales	bird	What is the detailed position of the store which has order SO - 000115?	train	hard	select t2.latitude, t2.longitude from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.ordernumber = 'so - 000115'
235	regional_sales	bird	Please calculate the total number of orders by each city in 2019.	train	hard	select count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate like '%/%/19' group by t2.`city name` having count(t1.ordernumber)
236	regional_sales	bird	Please list the names of customers who have total orders of over 3 in 2018.	train	hard	select distinct iif(count(t2.customerid) > 3, t2.`customer names`, null) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t1.orderdate like '%/%/18' group by t1._customerid having count(t2.customerid)
237	regional_sales	bird	What were the total orders of Medsep Group from 2018 to 2020?	train	hard	select sum(case when substr(t1.orderdate, -2) in ('18', '19', '20') and t2.`customer names` = 'medsep group' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid
238	regional_sales	bird	Please list the customer names whose order quantity was more than 5 on 6/1/2018.	train	hard	select t from ( select distinct case when sum(t1.`order quantity`) > 5 then t2.`customer names` end as t from `sales orders` t1 inner join customers t2 on t2.customerid = t1._customerid where t1.orderdate = '6/1/18' group by t1._customerid ) where t is not null
239	regional_sales	bird	What is the percentage of total orders of Stephen Payne that had a net profit of over 1000?	train	hard	select cast(sum(case when replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') > 1000 then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'stephen payne'
240	regional_sales	bird	How many sales team were from Northeast?	train	easy	select sum(case when region = 'northeast' then 1 else 0 end) from `sales team`
241	regional_sales	bird	State the name of all city in Maricopa County along with its latitude and longitude.	train	easy	select distinct `city name`, latitude, longitude from `store locations` where county = 'maricopa county'
242	regional_sales	bird	Which order have the highest unit cost?	train	medium	select ordernumber from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') desc limit 1 )
243	regional_sales	bird	List all the name of products with the ID of 30 to 40.	train	easy	select t from ( select case when productid between 30 and 40 then `product name` else null end as t from products ) where t is not null
244	regional_sales	bird	Calculate ratio between the highest unit cost and the lowest unit cost?	train	medium	select ( select replace(`unit cost`, ',', '') from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') desc limit 1 ) order by replace(`unit cost`, ',', '') desc limit 1 ) / ( select replace(`unit cost`, ',', '') from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') asc limit 1 ) order by replace(`unit cost`, ',', '') asc limit 1 )
245	regional_sales	bird	Which product was ordered the most in 2018?	train	hard	select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.orderdate like '%/%/18' group by t1._productid order by count(t1._productid) desc limit 1
246	regional_sales	bird	How many products sold by Adam Hernandez?	train	hard	select sum(case when t2.`sales team` = 'adam hernandez' then 1 else 0 end) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid
247	regional_sales	bird	List all orders where its products were shipped from Daly City.	train	hard	select t from ( select distinct case when t2.`city name` = 'daly city' then t1.ordernumber end as t from `sales orders` t1 inner join `store locations` t2 on t2.storeid = t1._storeid ) where t is not null
248	regional_sales	bird	How many orders made by Rochester Ltd?	train	hard	select sum(case when t1.`customer names` = 'rochester ltd' then 1 else 0 end) from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid
249	regional_sales	bird	State the order number where Qualitest ordered the highest product quantity.	train	hard	select t1.ordernumber from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t2.`customer names` = 'qualitest ' order by t1.`order quantity` desc limit 1
250	regional_sales	bird	List the order for all in-store sales along with the products sold.	train	hard	select distinct t1.ordernumber, t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.`sales channel` = 'in-store'
251	regional_sales	bird	How many online sales were made in May 2018 where products were shipped from Norman?	train	hard	select sum(case when t1.orderdate like '5/%/18' and t1.`sales channel` = 'online' and t2.`city name` = 'norman' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid
252	regional_sales	bird	Among the products sold in Maricopa County, which was the least sold?	train	hard	select t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t3.county = 'maricopa county' order by t2.`order quantity` asc limit 1
253	regional_sales	bird	State all the order numbers for sales team of Samuel Fowler.	train	hard	select t from ( select distinct case when t2.`sales team` = 'samuel fowler' then t1.ordernumber else null end as t from `sales orders` t1 inner join `sales team` t2 on t2.salesteamid = t1._salesteamid ) where t is not null
254	regional_sales	bird	Find the number of baseball ordered in December 2017.	train	hard	select count(t2.ordernumber) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t1.`product name` = 'baseball' and t2.orderdate like '12/%/18'
255	regional_sales	bird	Find the average number of ornaments sold each month in 2018.	train	hard	select cast(sum(t2.`order quantity`) as real) / 12 from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t1.`product name` = 'ornaments' and t2.orderdate like '%/%/18'
256	regional_sales	bird	Find the percentage of products that were shipped from Burbank in 2018?	train	hard	select cast(sum(case when t3.`city name` = 'burbank' then t2.`order quantity` else 0 end) as real) * 100 / sum(t2.`order quantity`) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t2.orderdate like '%/%/18'
257	regional_sales	bird	What is the difference in order number from "WARE-MKL1006" and "WARE-NBV1002"?	train	easy	select sum(iif(warehousecode = 'ware-mkl1006', 1, 0)) - sum(iif(warehousecode = 'ware-nbv1002', 1, 0)) as difference from `sales orders`
258	regional_sales	bird	Describe the product names delivered in 2021 for the customer "Sundial".	train	hard	select t from ( select distinct case when t2.deliverydate like '%/%/21' and t1.`customer names` = 'sundial ' then t3.`product name` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid inner join products t3 on t3.productid = t2._productid ) where t is not null
259	regional_sales	bird	Write down the store IDs and region of the state "Michigan".	train	hard	select distinct t2.storeid, t1.region from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'michigan'
260	regional_sales	bird	Compare the total number of orders between customer "Apollo Ltd" and "Pacific Ltd".	train	hard	select sum(case when t2.`customer names` = 'apollo ltd' then 1 else 0 end), sum(case when t2.`customer names` = 'pacific ltd' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid
261	regional_sales	bird	Find the store ID with more orders between "Aurora" and "Babylon" city.	train	hard	select t2.storeid from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.`city name` = 'aurora (township)' or t2.`city name` = 'babylon (town)' group by t2.storeid order by count(t1.ordernumber) desc limit 1
262	regional_sales	bird	List down the customer names and product names of the order made by "Anthony Torres" via distributor channel.	train	hard	select distinct t1.`customer names`, t4.`product name` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid inner join products as t4 on t4.productid = t2._productid where t3.`sales team` = 'anthony torres' and t2.`sales channel` = 'distributor'
263	regional_sales	bird	Mention the customer names and IDs which ordered total net profit of above 5000 USD through online channel.	train	hard	select distinct `customer names`, customerid from ( select t2.`customer names`, t2.customerid , sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) as t from `sales orders` t1 inner join customers t2 on t2.customerid = t1._customerid where t1.`sales channel` = 'online' group by t2.customerid ) where t > 5000
264	regional_sales	bird	Find the net profit of the floral products which were delivered in 2021.	train	hard	select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.deliverydate like '%/%/21' and t2.`product name` = 'floral'
265	regional_sales	bird	Count the number of orders made from the store in city with population of 3000000 to 4000000.	train	hard	select count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.population between 3000000 and 4000000
266	regional_sales	bird	Name the products via wholesale channel of the store under Pacific/Honolulu time zone.	train	hard	select t from ( select distinct case when t3.`time zone` = 'pacific/honolulu' and t2.`sales channel` = 'wholesale' then t1.`product name` else null end as t from products t1 inner join `sales orders` t2 on t2._productid = t1.productid inner join `store locations` t3 on t3.storeid = t2._storeid ) where t is not null
267	regional_sales	bird	List the order numbers and product names which were ordered on 6th June, 2018.	train	hard	select distinct ordernumber, `product name` from ( select iif(t2.orderdate = '6/6/18', t2.ordernumber, null) as 'ordernumber' , iif(t2.orderdate = '6/6/18', t1.`product name`, null) as 'product name' from products t1 inner join `sales orders` t2 on t2._productid = t1.productid ) where ordernumber is not null and `product name` is not null
268	regional_sales	bird	Find the average yearly order by customer Weimei Corp for 2018, 2019 and 2020.	train	hard	select count(t1.ordernumber) / 3 from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where (t1.orderdate like '%/%/18' and t2.`customer names` = 'weimei corp') or (t1.orderdate like '%/%/19' and t2.`customer names` = 'weimei corp') or (t1.orderdate like '%/%/20' and t2.`customer names` = 'weimei corp')
269	regional_sales	bird	Calculate the average monthly order and percentage of warehouse "WARE-NMK1003" in 2019. Among them, mention number of orders for floor lamps.	train	hard	select cast(sum(case when t2.warehousecode = 'ware-nmk1003' then 1 else 0 end) as real) / 12 , cast(sum(case when t2.warehousecode = 'ware-nmk1003' then 1 else 0 end) as real) * 100 / count(t2.ordernumber), count(case when t1.`product name` = 'floor lamps' and t2.warehousecode = 'ware-nmk1003' then t2.`order quantity` else null end) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t2.orderdate like '%/%/19'
270	regional_sales	bird	Indicate the procured dates for the customer whose ID is 11.	train	easy	select distinct t from ( select iif(_customerid = 11, procureddate, null) as t from `sales orders` ) where t is not null
271	regional_sales	bird	How many orders through distributor were for the minimum quantity?	train	easy	select sum(case when `order quantity` = 1 and `sales channel` = 'distributor' then 1 else 0 end) from `sales orders`
272	regional_sales	bird	List by ID all sales teams that have sold products at a 10% discount in store.	train	easy	select distinct t from ( select case when `discount applied` = '0.1' and `sales channel` = 'in-store' then _salesteamid else null end as t from `sales orders` ) where t is not null
273	regional_sales	bird	How many Borough-type stores located in the city of Brooklyn have a population of less than 3 million?	train	easy	select sum(case when population < 3000000 and type = 'borough' and `city name` = 'brooklyn' then 1 else 0 end) from `store locations`
274	regional_sales	bird	How many states are in the Midwest region?	train	easy	SELECT COUNT(DISTINCT t) FROM (SELECT CASE WHEN region = 'midwest' THEN state ELSE NULL END AS t FROM regions) WHERE NOT t IS NULL
275	regional_sales	bird	What are the top 10 products with the highest net profit?	train	hard	select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid group by t1._productid order by sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) desc limit 10
276	regional_sales	bird	Indicate the name of the customers who have placed an order of 3 units in February 2018.	train	hard	select t from ( select distinct case when t2.`order quantity` = 3 and t2.orderdate like '2/%/18' then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null
277	regional_sales	bird	What are the names of the sales teams that have served to customer Apotheca, Ltd?	train	hard	select distinct t3.`sales team` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t1.`customer names` = 'apotheca, ltd'
278	regional_sales	bird	In which regions are the stores that have shipped products through the WARE-UHY1004 warehouse?	train	hard	select t from ( select distinct case when t3.warehousecode = 'ware-uhy1004' then t1.region end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode inner join `sales orders` t3 on t3._storeid = t2.storeid ) where t is not null
279	regional_sales	bird	List all the cities where Shawn Torres sells Audio products.	train	hard	select t from ( select distinct case when t4.`product name` = 'audio' and t3.`sales team` = 'shawn torres' then t1.`city name` else null end as t from `store locations` t1 inner join `sales orders` t2 on t2._storeid = t1.storeid inner join `sales team` t3 on t3.salesteamid = t2._salesteamid inner join products t4 on t4.productid = t2._productid ) where t is not null
280	regional_sales	bird	Lists the name of the product and customer who placed an order on 10/21/18 and it was delivered on 11/21/19.	train	hard	select t3.`product name`, t1.`customer names` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join products as t3 on t3.productid = t2._productid where t2.orderdate = '10/21/18' and t2.deliverydate = '11/21/19'
281	regional_sales	bird	How many stores procured products on October 27, 2018, in the city of Oregon?	train	hard	select sum(case when t1.procureddate = '10/27/18' and t2.`city name` = 'orlando' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid
282	regional_sales	bird	What sales channels are used the most in the 3 places with the highest median income?	train	hard	select `sales channel` from ( select t1.`sales channel` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by t2.`median income` desc limit 3 ) group by `sales channel` order by count(`sales channel`) desc limit 1
283	regional_sales	bird	List the 5 sales teams that have made sales with the highest net profits.	train	hard	select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid order by replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') desc limit 5
284	regional_sales	bird	What is the highest discount applied by the store located in a city of the state of Colorado whose land area is 111039036.	train	hard	select max(t1.`discount applied`) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.state = 'colorado' and t2.`land area` = 111039036
285	regional_sales	bird	How many different time zones are there in the Northeast region?	train	hard	select count(distinct t2.`time zone`) from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t1.region = 'northeast'
286	regional_sales	bird	What type of store is most popular in the South?	train	hard	select distinct case when max(t2.population) then t2.type end from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode
287	regional_sales	bird	To which region does the sales team that has used the WARE-MKL1006 warehouse the most times for its shipments belong?	train	hard	select t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.warehousecode = 'ware-mkl1006' group by t2.region order by count(t1.ordernumber) desc limit 1
288	regional_sales	bird	In which city is the store with the highest sales order unit price located?	train	hard	select t2.`city name` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by replace(t1.`unit price`, ',', '') desc limit 1 ) order by replace(t1.`unit price`, ',', '') desc limit 1
289	regional_sales	bird	How many online purchases did Ole Group make in May 2019?	train	hard	select sum(case when t1.`sales channel` = 'online' and t2.`customer names` = 'ole group' and t1.orderdate like '5/%/19' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid
290	regional_sales	bird	How many stores with less need for products, and purchased through a distributor, are located in Washtenaw County?	train	hard	select sum(case when t1.`order quantity` = 1 and t1.`sales channel` = 'distributor' and t2.county = 'washtenaw county' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid
291	regional_sales	bird	What is the least purchased product by stores in the city of Santa Clarita?	train	hard	select t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t3.`city name` = 'santa clarita' group by t1.`product name` order by count(t1.`product name`) asc limit 1
292	regional_sales	bird	At what Latitude and Longitude is the store that has used the WARE-PUJ1005 warehouse the fewest times?	train	hard	select t2.latitude, t2.longitude from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.warehousecode = 'ware-puj1005' group by t2.storeid order by count(t1.warehousecode) asc limit 1
293	regional_sales	bird	What percentage of sell orders on 04/04/2020 were for the state of New York?	train	hard	select cast(sum(case when t2.state = 'new york' then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate = '4/4/20'
294	regional_sales	bird	What is the average land area of the cities in which stores that purchased products for a unit price of 998.30 are located?	train	hard	select avg(t2.`land area`) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.`unit price` = '998.30'
295	regional_sales	bird	What is the average household income in cities in the state of New Hampshire where there are stores of the type city?	train	hard	select avg(t2.`household income`) from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'new hampshire' and t2.type = 'city'
296	regional_sales	bird	How many sales teams are there in the Midwest?	train	easy	select sum(case when region = 'midwest' then 1 else 0 end) from `sales team`
297	regional_sales	bird	Indicate order numbers with an order date after 1/1/2018.	train	easy	select distinct t from ( select case when orderdate > '1/1/18' then ordernumber else null end as t from `sales orders` ) where t is not null
298	regional_sales	bird	How many sales channels does the sales team have in the Midwest?	train	hard	select count(t1.`sales channel`) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.region = 'midwest'
299	regional_sales	bird	Which sales team has the other with the highest unit price?	train	hard	select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid order by replace(t1.`unit price`, ',', '') desc limit 1 ) order by replace(t1.`unit price`, ',', '') desc limit 1
300	regional_sales	bird	Which regions have online sales channels that have the most discounts?	train	hard	select t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.`sales channel` = 'online' order by t1.`discount applied` desc limit 1

201

regional_sales

bird

How many orders have order date in 5/31/2018?

train

easy

select sum(iif(orderdate = '5/31/18', 1, 0)) from `sales orders`

202

regional_sales

bird

List out the name of orders which have delivery date of 6/13/2018.

train

easy

select distinct t from ( select iif(deliverydate = '6/13/18', ordernumber, null) as t from `sales orders` ) where t is not null

203

regional_sales

bird

How many orders placed were with more than 5 product quantities?

train

easy

select sum(iif(`order quantity` > 5, 1, 0)) from `sales orders`

204

regional_sales

bird

State the full name of state code "GA".

train

easy

SELECT t FROM (SELECT IIF(statecode = 'ga', state, NULL) AS t FROM regions) WHERE NOT t IS NULL

205

regional_sales

bird

How many states located in the Midwest region?

train

easy

SELECT COUNT(DISTINCT t) FROM (SELECT CASE WHEN region = 'midwest' THEN statecode ELSE NULL END AS t FROM regions) WHERE NOT t IS NULL

206

regional_sales

bird

List out the product name of order which has unit cost of 781.22.

train

hard

select t from ( select distinct iif(t1.`unit cost` = 781.22, t2.`product name`, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null

207

regional_sales

bird

State the delivery date of cookware.

train

hard

select t from ( select distinct iif(t2.`product name` = 'cookware', t1.deliverydate, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null

208

regional_sales

bird

How many furniture cushions orders which have date of order in 2018?

train

hard

select sum(case when t1.orderdate like '%/%/18' and t2.`product name` = 'furniture cushions' then 1 else 0 end) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid

209

regional_sales

bird

List out the name of products which have been applied 10% discount.

train

hard

select t from ( select distinct iif(t1.`discount applied` = 0.1, t2.`product name`, null) as t from `sales orders` t1 inner join products t2 on t2.productid = t1._productid ) where t is not null

210

regional_sales

bird

Calculate the average net profit of phones which have sales channel of distributor.

train

hard

select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'phones' and t1.`sales channel` = 'distributor'

211

regional_sales

bird

Calculate the average net profit of bar tools which has ordered quantity exceed 5.

train

hard

select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'bar tools' and t1.`order quantity` > 5

212

regional_sales

bird

List out the city name of states located in South region.

train

hard

select t from ( select distinct case when t1.region = 'south' then t2.`city name` end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode ) where t is not null

213

regional_sales

bird

What is the region of stores which have type of "Town" in the list?

train

hard

select t from ( select distinct case when t2.type = 'town' then t1.region end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode ) where t is not null

214

regional_sales

bird

How many orders that Medsep Group had made?

train

hard

select sum(case when t1.`customer names` = 'medsep group' then 1 else 0 end) from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid

215

regional_sales

bird

List out the discount levels applied for all orders from Ole Group.

train

hard

select t from ( select distinct case when t1.`customer names` = 'ole group' then t2.`discount applied` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null

216

regional_sales

bird

State the customer name of orders which has shipped date in 7/8/2018.

train

hard

select t from ( select distinct case when t2.shipdate = '7/8/18' then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null

217

regional_sales

bird

Among the orders placed by Ei, how many orders have quantity greater than 4?

train

hard

select sum(case when t1.`order quantity` > 4 and t2.`customer names` = 'ei ' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid

218

regional_sales

bird

Among the orders placed by Pacific Ltd, how many orders have been applied 5% discount ?

train

hard

select sum(case when t1.`discount applied` = 0.05 and t2.`customer names` = 'pacific ltd' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid

219

regional_sales

bird

What is the customer names of orders which have unit cost greater than 4000USD?

train

hard

select t from ( select distinct case when t2.`unit cost` > 4000 then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null

220

regional_sales

bird

Please list the id and detailed position of all stores in Birmingham city.

train

easy

select storeid, latitude, longitude from `store locations` where `city name` = 'birmingham'

221

regional_sales

bird

Which city has the largest population?

train

hard

select `city name` from `store locations` order by population desc limit 1

222

regional_sales

bird

How many CDP stores are there in California?

train

easy

select sum(case when state = 'california' and type = 'cdp' then 1 else 0 end) from `store locations`

223

regional_sales

bird

Please give the order number and product name of the order which has the lowest unit price.

train

hard

select t1.ordernumber, t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid order by replace(t1.`unit price`, ',', '') limit 1 )

224

regional_sales

bird

Which product has the highest net profit in 2019?

train

hard

select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.orderdate like '%/%/19' order by replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') desc limit 1

225

regional_sales

bird

What is the average unit price of a Cookware product?

train

hard

select avg(replace(t1.`unit price`, ',', '')) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'cookware'

226

regional_sales

bird

Please list all sale team names which had orders on 5/31/2018.

train

hard

select t from ( select distinct case when t1.orderdate = '5/31/18' then t2.`sales team` else null end as t from `sales orders` t1 inner join `sales team` t2 on t2.salesteamid = t1._salesteamid ) where t is not null

227

regional_sales

bird

Which sales team name has the least orders in 2019?

train

hard

select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.orderdate like '%/%/19' group by t2.`sales team` order by count(t1.ordernumber) asc limit 1

228

regional_sales

bird

From 2018 to 2020, which year did the George Lewis group have the highest number of orders?

train

hard

select substr(t1.orderdate, -2, 2) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'george lewis' group by substr(t1.orderdate, -2, 2) order by count(t1.ordernumber) desc limit 1

229

regional_sales

bird

What is the percentage of total orders from stores in Orange County in 2018?

train

hard

select cast(sum(case when t2.county = 'orange county' then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate like '%/%/18'

230

regional_sales

bird

Which order number has the highest unit price?

train

medium

select ordernumber from `sales orders` where replace(`unit price`, ',', '') = ( select replace(`unit price`, ',', '') from `sales orders` order by replace(`unit price`, ',', '') desc limit 1 )

231

regional_sales

bird

Which sales team id has the highest number of orders in 2018?

train

medium

select _salesteamid from `sales orders` where orderdate like '%/%/18' group by _salesteamid order by count(_salesteamid) desc limit 1

232

regional_sales

bird

What is the unit cost of order SO - 000103?

train

easy

select distinct t from ( select iif(ordernumber = 'so - 000103', `unit cost`, null) as t from `sales orders` ) where t is not null

233

regional_sales

bird

In 2020, what were the total orders of all stores in Maricopa County?

train

hard

select sum(case when t2.county = 'maricopa county' and orderdate like '%/%/20' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid

234

regional_sales

bird

What is the detailed position of the store which has order SO - 000115?

train

hard

select t2.latitude, t2.longitude from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.ordernumber = 'so - 000115'

235

regional_sales

bird

Please calculate the total number of orders by each city in 2019.

train

hard

select count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate like '%/%/19' group by t2.`city name` having count(t1.ordernumber)

236

regional_sales

bird

Please list the names of customers who have total orders of over 3 in 2018.

train

hard

select distinct iif(count(t2.customerid) > 3, t2.`customer names`, null) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t1.orderdate like '%/%/18' group by t1._customerid having count(t2.customerid)

237

regional_sales

bird

What were the total orders of Medsep Group from 2018 to 2020?

train

hard

select sum(case when substr(t1.orderdate, -2) in ('18', '19', '20') and t2.`customer names` = 'medsep group' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid

238

regional_sales

bird

Please list the customer names whose order quantity was more than 5 on 6/1/2018.

train

hard

select t from ( select distinct case when sum(t1.`order quantity`) > 5 then t2.`customer names` end as t from `sales orders` t1 inner join customers t2 on t2.customerid = t1._customerid where t1.orderdate = '6/1/18' group by t1._customerid ) where t is not null

239

regional_sales

bird

What is the percentage of total orders of Stephen Payne that had a net profit of over 1000?

train

hard

select cast(sum(case when replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') > 1000 then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'stephen payne'

240

regional_sales

bird

How many sales team were from Northeast?

train

easy

select sum(case when region = 'northeast' then 1 else 0 end) from `sales team`

241

regional_sales

bird

State the name of all city in Maricopa County along with its latitude and longitude.

train

easy

select distinct `city name`, latitude, longitude from `store locations` where county = 'maricopa county'

242

regional_sales

bird

Which order have the highest unit cost?

train

medium

select ordernumber from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') desc limit 1 )

243

regional_sales

bird

List all the name of products with the ID of 30 to 40.

train

easy

select t from ( select case when productid between 30 and 40 then `product name` else null end as t from products ) where t is not null

244

regional_sales

bird

Calculate ratio between the highest unit cost and the lowest unit cost?

train

medium

select ( select replace(`unit cost`, ',', '') from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') desc limit 1 ) order by replace(`unit cost`, ',', '') desc limit 1 ) / ( select replace(`unit cost`, ',', '') from `sales orders` where replace(`unit cost`, ',', '') = ( select replace(`unit cost`, ',', '') from `sales orders` order by replace(`unit cost`, ',', '') asc limit 1 ) order by replace(`unit cost`, ',', '') asc limit 1 )

245

regional_sales

bird

Which product was ordered the most in 2018?

train

hard

select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.orderdate like '%/%/18' group by t1._productid order by count(t1._productid) desc limit 1

246

regional_sales

bird

How many products sold by Adam Hernandez?

train

hard

select sum(case when t2.`sales team` = 'adam hernandez' then 1 else 0 end) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid

247

regional_sales

bird

List all orders where its products were shipped from Daly City.

train

hard

select t from ( select distinct case when t2.`city name` = 'daly city' then t1.ordernumber end as t from `sales orders` t1 inner join `store locations` t2 on t2.storeid = t1._storeid ) where t is not null

248

regional_sales

bird

How many orders made by Rochester Ltd?

train

hard

select sum(case when t1.`customer names` = 'rochester ltd' then 1 else 0 end) from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid

249

regional_sales

bird

State the order number where Qualitest ordered the highest product quantity.

train

hard

select t1.ordernumber from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t2.`customer names` = 'qualitest ' order by t1.`order quantity` desc limit 1

250

regional_sales

bird

List the order for all in-store sales along with the products sold.

train

hard

select distinct t1.ordernumber, t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.`sales channel` = 'in-store'

251

regional_sales

bird

How many online sales were made in May 2018 where products were shipped from Norman?

train

hard

select sum(case when t1.orderdate like '5/%/18' and t1.`sales channel` = 'online' and t2.`city name` = 'norman' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid

252

regional_sales

bird

Among the products sold in Maricopa County, which was the least sold?

train

hard

select t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t3.county = 'maricopa county' order by t2.`order quantity` asc limit 1

253

regional_sales

bird

State all the order numbers for sales team of Samuel Fowler.

train

hard

select t from ( select distinct case when t2.`sales team` = 'samuel fowler' then t1.ordernumber else null end as t from `sales orders` t1 inner join `sales team` t2 on t2.salesteamid = t1._salesteamid ) where t is not null

254

regional_sales

bird

Find the number of baseball ordered in December 2017.

train

hard

select count(t2.ordernumber) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t1.`product name` = 'baseball' and t2.orderdate like '12/%/18'

255

regional_sales

bird

Find the average number of ornaments sold each month in 2018.

train

hard

select cast(sum(t2.`order quantity`) as real) / 12 from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t1.`product name` = 'ornaments' and t2.orderdate like '%/%/18'

256

regional_sales

bird

Find the percentage of products that were shipped from Burbank in 2018?

train

hard

select cast(sum(case when t3.`city name` = 'burbank' then t2.`order quantity` else 0 end) as real) * 100 / sum(t2.`order quantity`) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t2.orderdate like '%/%/18'

257

regional_sales

bird

What is the difference in order number from "WARE-MKL1006" and "WARE-NBV1002"?

train

easy

select sum(iif(warehousecode = 'ware-mkl1006', 1, 0)) - sum(iif(warehousecode = 'ware-nbv1002', 1, 0)) as difference from `sales orders`

258

regional_sales

bird

Describe the product names delivered in 2021 for the customer "Sundial".

train

hard

select t from ( select distinct case when t2.deliverydate like '%/%/21' and t1.`customer names` = 'sundial ' then t3.`product name` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid inner join products t3 on t3.productid = t2._productid ) where t is not null

259

regional_sales

bird

Write down the store IDs and region of the state "Michigan".

train

hard

select distinct t2.storeid, t1.region from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'michigan'

260

regional_sales

bird

Compare the total number of orders between customer "Apollo Ltd" and "Pacific Ltd".

train

hard

select sum(case when t2.`customer names` = 'apollo ltd' then 1 else 0 end), sum(case when t2.`customer names` = 'pacific ltd' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid

261

regional_sales

bird

Find the store ID with more orders between "Aurora" and "Babylon" city.

train

hard

select t2.storeid from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.`city name` = 'aurora (township)' or t2.`city name` = 'babylon (town)' group by t2.storeid order by count(t1.ordernumber) desc limit 1

262

regional_sales

bird

List down the customer names and product names of the order made by "Anthony Torres" via distributor channel.

train

hard

select distinct t1.`customer names`, t4.`product name` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid inner join products as t4 on t4.productid = t2._productid where t3.`sales team` = 'anthony torres' and t2.`sales channel` = 'distributor'

263

regional_sales

bird

Mention the customer names and IDs which ordered total net profit of above 5000 USD through online channel.

train

hard

select distinct `customer names`, customerid from ( select t2.`customer names`, t2.customerid , sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) as t from `sales orders` t1 inner join customers t2 on t2.customerid = t1._customerid where t1.`sales channel` = 'online' group by t2.customerid ) where t > 5000

264

regional_sales

bird

Find the net profit of the floral products which were delivered in 2021.

train

hard

select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.deliverydate like '%/%/21' and t2.`product name` = 'floral'

265

regional_sales

bird

Count the number of orders made from the store in city with population of 3000000 to 4000000.

train

hard

select count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.population between 3000000 and 4000000

266

regional_sales

bird

Name the products via wholesale channel of the store under Pacific/Honolulu time zone.

train

hard

select t from ( select distinct case when t3.`time zone` = 'pacific/honolulu' and t2.`sales channel` = 'wholesale' then t1.`product name` else null end as t from products t1 inner join `sales orders` t2 on t2._productid = t1.productid inner join `store locations` t3 on t3.storeid = t2._storeid ) where t is not null

267

regional_sales

bird

List the order numbers and product names which were ordered on 6th June, 2018.

train

hard

select distinct ordernumber, `product name` from ( select iif(t2.orderdate = '6/6/18', t2.ordernumber, null) as 'ordernumber' , iif(t2.orderdate = '6/6/18', t1.`product name`, null) as 'product name' from products t1 inner join `sales orders` t2 on t2._productid = t1.productid ) where ordernumber is not null and `product name` is not null

268

regional_sales

bird

Find the average yearly order by customer Weimei Corp for 2018, 2019 and 2020.

train

hard

select count(t1.ordernumber) / 3 from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where (t1.orderdate like '%/%/18' and t2.`customer names` = 'weimei corp') or (t1.orderdate like '%/%/19' and t2.`customer names` = 'weimei corp') or (t1.orderdate like '%/%/20' and t2.`customer names` = 'weimei corp')

269

regional_sales

bird

Calculate the average monthly order and percentage of warehouse "WARE-NMK1003" in 2019. Among them, mention number of orders for floor lamps.

train

hard

select cast(sum(case when t2.warehousecode = 'ware-nmk1003' then 1 else 0 end) as real) / 12 , cast(sum(case when t2.warehousecode = 'ware-nmk1003' then 1 else 0 end) as real) * 100 / count(t2.ordernumber), count(case when t1.`product name` = 'floor lamps' and t2.warehousecode = 'ware-nmk1003' then t2.`order quantity` else null end) from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid where t2.orderdate like '%/%/19'

270

regional_sales

bird

Indicate the procured dates for the customer whose ID is 11.

train

easy

select distinct t from ( select iif(_customerid = 11, procureddate, null) as t from `sales orders` ) where t is not null

271

regional_sales

bird

How many orders through distributor were for the minimum quantity?

train

easy

select sum(case when `order quantity` = 1 and `sales channel` = 'distributor' then 1 else 0 end) from `sales orders`

272

regional_sales

bird

List by ID all sales teams that have sold products at a 10% discount in store.

train

easy

select distinct t from ( select case when `discount applied` = '0.1' and `sales channel` = 'in-store' then _salesteamid else null end as t from `sales orders` ) where t is not null

273

regional_sales

bird

How many Borough-type stores located in the city of Brooklyn have a population of less than 3 million?

train

easy

select sum(case when population < 3000000 and type = 'borough' and `city name` = 'brooklyn' then 1 else 0 end) from `store locations`

274

regional_sales

bird

How many states are in the Midwest region?

train

easy

SELECT COUNT(DISTINCT t) FROM (SELECT CASE WHEN region = 'midwest' THEN state ELSE NULL END AS t FROM regions) WHERE NOT t IS NULL

275

regional_sales

bird

What are the top 10 products with the highest net profit?

train

hard

select t2.`product name` from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid group by t1._productid order by sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) desc limit 10

276

regional_sales

bird

Indicate the name of the customers who have placed an order of 3 units in February 2018.

train

hard

select t from ( select distinct case when t2.`order quantity` = 3 and t2.orderdate like '2/%/18' then t1.`customer names` end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null

277

regional_sales

bird

What are the names of the sales teams that have served to customer Apotheca, Ltd?

train

hard

select distinct t3.`sales team` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t1.`customer names` = 'apotheca, ltd'

278

regional_sales

bird

In which regions are the stores that have shipped products through the WARE-UHY1004 warehouse?

train

hard

select t from ( select distinct case when t3.warehousecode = 'ware-uhy1004' then t1.region end as t from regions t1 inner join `store locations` t2 on t2.statecode = t1.statecode inner join `sales orders` t3 on t3._storeid = t2.storeid ) where t is not null

279

regional_sales

bird

List all the cities where Shawn Torres sells Audio products.

train

hard

select t from ( select distinct case when t4.`product name` = 'audio' and t3.`sales team` = 'shawn torres' then t1.`city name` else null end as t from `store locations` t1 inner join `sales orders` t2 on t2._storeid = t1.storeid inner join `sales team` t3 on t3.salesteamid = t2._salesteamid inner join products t4 on t4.productid = t2._productid ) where t is not null

280

regional_sales

bird

Lists the name of the product and customer who placed an order on 10/21/18 and it was delivered on 11/21/19.

train

hard

select t3.`product name`, t1.`customer names` from customers as t1 inner join `sales orders` as t2 on t2._customerid = t1.customerid inner join products as t3 on t3.productid = t2._productid where t2.orderdate = '10/21/18' and t2.deliverydate = '11/21/19'

281

regional_sales

bird

How many stores procured products on October 27, 2018, in the city of Oregon?

train

hard

select sum(case when t1.procureddate = '10/27/18' and t2.`city name` = 'orlando' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid

282

regional_sales

bird

What sales channels are used the most in the 3 places with the highest median income?

train

hard

select `sales channel` from ( select t1.`sales channel` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by t2.`median income` desc limit 3 ) group by `sales channel` order by count(`sales channel`) desc limit 1

283

regional_sales

bird

List the 5 sales teams that have made sales with the highest net profits.

train

hard

select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid order by replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') desc limit 5

284

regional_sales

bird

What is the highest discount applied by the store located in a city of the state of Colorado whose land area is 111039036.

train

hard

select max(t1.`discount applied`) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t2.state = 'colorado' and t2.`land area` = 111039036

285

regional_sales

bird

How many different time zones are there in the Northeast region?

train

hard

select count(distinct t2.`time zone`) from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t1.region = 'northeast'

286

regional_sales

bird

What type of store is most popular in the South?

train

hard

select distinct case when max(t2.population) then t2.type end from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode

287

regional_sales

bird

To which region does the sales team that has used the WARE-MKL1006 warehouse the most times for its shipments belong?

train

hard

select t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.warehousecode = 'ware-mkl1006' group by t2.region order by count(t1.ordernumber) desc limit 1

288

regional_sales

bird

In which city is the store with the highest sales order unit price located?

train

hard

select t2.`city name` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by replace(t1.`unit price`, ',', '') desc limit 1 ) order by replace(t1.`unit price`, ',', '') desc limit 1

289

regional_sales

bird

How many online purchases did Ole Group make in May 2019?

train

hard

select sum(case when t1.`sales channel` = 'online' and t2.`customer names` = 'ole group' and t1.orderdate like '5/%/19' then 1 else 0 end) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid

290

regional_sales

bird

How many stores with less need for products, and purchased through a distributor, are located in Washtenaw County?

train

hard

select sum(case when t1.`order quantity` = 1 and t1.`sales channel` = 'distributor' and t2.county = 'washtenaw county' then 1 else 0 end) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid

291

regional_sales

bird

What is the least purchased product by stores in the city of Santa Clarita?

train

hard

select t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `store locations` as t3 on t3.storeid = t2._storeid where t3.`city name` = 'santa clarita' group by t1.`product name` order by count(t1.`product name`) asc limit 1

292

regional_sales

bird

At what Latitude and Longitude is the store that has used the WARE-PUJ1005 warehouse the fewest times?

train

hard

select t2.latitude, t2.longitude from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.warehousecode = 'ware-puj1005' group by t2.storeid order by count(t1.warehousecode) asc limit 1

293

regional_sales

bird

What percentage of sell orders on 04/04/2020 were for the state of New York?

train

hard

select cast(sum(case when t2.state = 'new york' then 1 else 0 end) as real) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.orderdate = '4/4/20'

294

regional_sales

bird

What is the average land area of the cities in which stores that purchased products for a unit price of 998.30 are located?

train

hard

select avg(t2.`land area`) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.`unit price` = '998.30'

295

regional_sales

bird

What is the average household income in cities in the state of New Hampshire where there are stores of the type city?

train

hard

select avg(t2.`household income`) from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'new hampshire' and t2.type = 'city'

296

regional_sales

bird

How many sales teams are there in the Midwest?

train

easy

select sum(case when region = 'midwest' then 1 else 0 end) from `sales team`

297

regional_sales

bird

Indicate order numbers with an order date after 1/1/2018.

train

easy

select distinct t from ( select case when orderdate > '1/1/18' then ordernumber else null end as t from `sales orders` ) where t is not null

298

regional_sales

bird

How many sales channels does the sales team have in the Midwest?

train

hard

select count(t1.`sales channel`) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.region = 'midwest'

299

regional_sales

bird

Which sales team has the other with the highest unit price?

train

hard

select t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where replace(t1.`unit price`, ',', '') = ( select replace(t1.`unit price`, ',', '') from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid order by replace(t1.`unit price`, ',', '') desc limit 1 ) order by replace(t1.`unit price`, ',', '') desc limit 1

300

regional_sales

bird

Which regions have online sales channels that have the most discounts?

train

hard

select t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.`sales channel` = 'online' order by t1.`discount applied` desc limit 1