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
101	financial	bird	Name the account numbers of female clients who are oldest and have lowest average salary?	dev	medium	SELECT t3.account_id FROM client AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id INNER JOIN account AS t3 ON t2.district_id = t3.district_id INNER JOIN disp AS t4 ON t1.client_id = t4.client_id AND t4.account_id = t3.account_id WHERE t1.gender = 'f' ORDER BY t1.birth_date ASC, t2.a11 ASC LIMIT 1
102	financial	bird	How many clients who were born in 1920 stay in east Bohemia?	dev	easy	SELECT COUNT(t1.client_id) FROM client AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id WHERE STRFTIME('%y', t1.birth_date) = '1920' AND t2.a3 = 'east bohemia'
103	financial	bird	How many loan accounts are for pre-payment of duration of 24 months with weekly issuance of statement.	dev	easy	SELECT COUNT(t2.account_id) FROM account AS t1 INNER JOIN loan AS t2 ON t1.account_id = t2.account_id WHERE t2.duration = 24 AND t1.frequency = 'poplatek tydne'
104	financial	bird	What is the average amount of loan which are still on running contract with statement issuance after each transaction?	dev	medium	SELECT AVG(t2.amount) FROM account AS t1 INNER JOIN loan AS t2 ON t1.account_id = t2.account_id WHERE t2.status IN ('c', 'd') AND t1.frequency = 'poplatek po obratu'
105	financial	bird	List all ID and district for clients that can only have the right to issue permanent orders or apply for loans.	dev	medium	SELECT t3.client_id, t2.district_id, t2.a2 FROM account AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id INNER JOIN disp AS t3 ON t1.account_id = t3.account_id WHERE t3.type = 'owner'
106	financial	bird	Provide the IDs and age of the client with high level credit card, which is eligible for loans.	dev	medium	SELECT t1.client_id, STRFTIME('%y', CURRENT_TIMESTAMP) - STRFTIME('%y', t3.birth_date) FROM disp AS t1 INNER JOIN card AS t2 ON t2.disp_id = t1.disp_id INNER JOIN client AS t3 ON t1.client_id = t3.client_id WHERE t2.type = 'gold' AND t1.type = 'owner'
107	debit_card_specializing	bird	How many gas stations in CZE has Premium gas?	dev	easy	SELECT COUNT(gasstationid) FROM gasstations WHERE country = 'cze' AND segment = 'premium'
108	debit_card_specializing	bird	What is the ratio of customers who pay in EUR against customers who pay in CZK?	dev	easy	SELECT CAST(SUM(IIF(currency = 'eur', 1, 0)) AS REAL) / SUM(IIF(currency = 'czk', 1, 0)) AS ratio FROM customers
109	debit_card_specializing	bird	In 2012, who had the least consumption in LAM?	dev	medium	SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam' AND SUBSTRING(t2.date, 1, 4) = '2012' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1
110	debit_card_specializing	bird	What was the average monthly consumption of customers in SME for the year 2013?	dev	medium	SELECT CAST(AVG(t2.consumption) AS REAL) / 12 FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2013' AND t1.segment = 'sme'
111	debit_card_specializing	bird	Which customers, paying in CZK, consumed the most gas in 2011?	dev	medium	SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' AND t2.date BETWEEN 201101 AND 201112 GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1
112	debit_card_specializing	bird	How many customers in KAM had a consumption of less than 30,000 for the year 2012?	dev	medium	SELECT COUNT(*) FROM (SELECT t2.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'kam' AND SUBSTRING(t2.date, 1, 4) = '2012' GROUP BY t2.customerid HAVING SUM(t2.consumption) < 30000) AS t1
113	debit_card_specializing	bird	What was the difference in gas consumption between CZK-paying customers and EUR-paying customers in 2012?	dev	hard	SELECT SUM(IIF(t1.currency = 'czk', t2.consumption, 0)) - SUM(IIF(t1.currency = 'eur', t2.consumption, 0)) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2012'
114	debit_card_specializing	bird	Which year recorded the most gas use paid in EUR?	dev	easy	SELECT SUBSTRING(t2.date, 1, 4) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'eur' GROUP BY SUBSTRING(t2.date, 1, 4) ORDER BY SUM(t2.consumption) DESC LIMIT 1
115	debit_card_specializing	bird	Which segment had the least consumption?	dev	easy	SELECT t1.segment FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid GROUP BY t1.segment ORDER BY SUM(t2.consumption) ASC LIMIT 1
116	debit_card_specializing	bird	Which year recorded the most consumption of gas paid in CZK?	dev	medium	SELECT SUBSTRING(t2.date, 1, 4) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' GROUP BY SUBSTRING(t2.date, 1, 4) ORDER BY SUM(t2.consumption) DESC LIMIT 1
117	debit_card_specializing	bird	What was the gas consumption peak month for SME customers in 2013?	dev	medium	SELECT SUBSTRING(t2.date, 5, 2) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2013' AND t1.segment = 'sme' GROUP BY SUBSTRING(t2.date, 5, 2) ORDER BY SUM(t2.consumption) DESC LIMIT 1
118	debit_card_specializing	bird	What is the difference in the annual average consumption of the customers with the least amount of consumption paid in CZK for 2013 between SME and LAM, LAM and KAM, and KAM and SME?	dev	hard	SELECT CAST(SUM(IIF(t1.segment = 'sme', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'lam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid), CAST(SUM(IIF(t1.segment = 'lam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'kam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid), CAST(SUM(IIF(t1.segment = 'kam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'sme', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' AND t2.consumption = (SELECT MIN(consumption) FROM yearmonth) AND t2.date BETWEEN 201301 AND 201312
119	debit_card_specializing	bird	Which of the three segments—SME, LAM and KAM—has the biggest and lowest percentage increases in consumption paid in EUR between 2012 and 2013?	dev	hard	SELECT CAST(CAST((SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2012%', t2.consumption, 0))) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2012%', t2.consumption, 0)), CAST(CAST(SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2012%', t2.consumption, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2012%', t2.consumption, 0)), CAST(CAST(SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2012%', t2.consumption, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2012%', t2.consumption, 0)) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid
120	debit_card_specializing	bird	How much did customer 6 consume in total between August and November 2013?	dev	easy	SELECT SUM(consumption) FROM yearmonth WHERE customerid = 6 AND date BETWEEN '201308' AND '201311'
121	debit_card_specializing	bird	How many more "discount" gas stations does the Czech Republic have compared to Slovakia?	dev	easy	SELECT SUM(IIF(country = 'cze', 1, 0)) - SUM(IIF(country = 'svk', 1, 0)) FROM gasstations WHERE segment = 'discount'
122	debit_card_specializing	bird	How much more was customer 7 consuming in April 2013 than customer 5?	dev	easy	SELECT SUM(IIF(customerid = 7, consumption, 0)) - SUM(IIF(customerid = 5, consumption, 0)) FROM yearmonth WHERE date = '201304'
123	debit_card_specializing	bird	Is it true that more SMEs pay in Czech koruna than in euros? If so, how many more?	dev	easy	SELECT SUM(currency = 'czk') - SUM(currency = 'eur') FROM customers WHERE segment = 'sme'
124	debit_card_specializing	bird	Which LAM customer used the Euro as their currency and had the highest consumption in October 2013?	dev	medium	SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam' AND t2.date = '201310' AND t1.currency = 'eur' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1
125	debit_card_specializing	bird	Who among KAM's customers consumed the most? How much did it consume?	dev	easy	SELECT t2.customerid, SUM(t2.consumption) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'kam' GROUP BY t2.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1
126	debit_card_specializing	bird	How much did the KAM customers consume in total in May 2013?	dev	easy	SELECT SUM(t2.consumption) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201305' AND t1.segment = 'kam'
127	debit_card_specializing	bird	How many percent of LAM customer consumed more than 46.73?	dev	medium	SELECT CAST(CAST(SUM(IIF(t2.consumption > 46.73, 1, 0)) AS REAL) * 100 AS REAL) / COUNT(t1.customerid) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam'
128	debit_card_specializing	bird	Which country has more "value for money" gas stations? Please give a total number of "value for money" gas stations in each country.	dev	easy	SELECT country, (SELECT COUNT(gasstationid) FROM gasstations WHERE segment = 'value for money') FROM gasstations WHERE segment = 'value for money' GROUP BY country ORDER BY COUNT(gasstationid) DESC LIMIT 1
129	debit_card_specializing	bird	What percentage of KAM customers pay in euros?	dev	easy	SELECT CAST(CAST(SUM(currency = 'eur') AS REAL) * 100 AS REAL) / COUNT(customerid) FROM customers WHERE segment = 'kam'
130	debit_card_specializing	bird	In February 2012, what percentage of customers consumed more than 528.3?	dev	easy	SELECT CAST(CAST(SUM(IIF(consumption > 528.3, 1, 0)) AS REAL) * 100 AS REAL) / COUNT(customerid) FROM yearmonth WHERE date = '201202'
131	debit_card_specializing	bird	What percentage of Slovakian gas stations are premium?	dev	easy	SELECT CAST(CAST(SUM(IIF(segment = 'premium', 1, 0)) AS REAL) * 100 AS REAL) / COUNT(gasstationid) FROM gasstations WHERE country = 'svk'
132	debit_card_specializing	bird	Which client ID consumed the most in September 2013?	dev	easy	SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201309' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1
133	debit_card_specializing	bird	Which client segment consumed the least in September 2013?	dev	easy	SELECT t1.segment FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201309' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1
134	debit_card_specializing	bird	Which SME customer consumed the least in June 2012?	dev	easy	SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201206' AND t1.segment = 'sme' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1
135	debit_card_specializing	bird	What is the highest monthly consumption in the year 2012?	dev	easy	SELECT SUM(consumption) FROM yearmonth WHERE SUBSTRING(date, 1, 4) = '2012' GROUP BY SUBSTRING(date, 5, 2) ORDER BY SUM(consumption) DESC LIMIT 1
136	debit_card_specializing	bird	What is the biggest monthly consumption of the customers who use euro as their currency?	dev	easy	SELECT CAST(SUM(t2.consumption) AS REAL) / 12 AS monthlyconsumption FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'eur' GROUP BY t1.customerid ORDER BY monthlyconsumption DESC LIMIT 1
137	debit_card_specializing	bird	Please list the product description of the products consumed in September, 2013.	dev	easy	SELECT t3.description FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.date = '201309'
138	debit_card_specializing	bird	Please list the countries of the gas stations with transactions taken place in June, 2013.	dev	medium	SELECT DISTINCT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN yearmonth AS t3 ON t1.customerid = t3.customerid WHERE t3.date = '201306'
139	debit_card_specializing	bird	Please list the chains of the gas stations with transactions in euro.	dev	easy	SELECT DISTINCT t3.chainid FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid INNER JOIN gasstations AS t3 ON t1.gasstationid = t3.gasstationid WHERE t2.currency = 'eur'
140	debit_card_specializing	bird	Please list the product description of the products bought in transactions in euro.	dev	easy	SELECT DISTINCT t1.productid, t3.description FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.currency = 'eur'
141	debit_card_specializing	bird	What is the average total price of the transactions taken place in January, 2012?	dev	easy	SELECT AVG(amount) FROM transactions_1k WHERE date LIKE '2012-01%'
142	debit_card_specializing	bird	Among the customers who paid in euro, how many of them have a monthly consumption of over 1000?	dev	easy	SELECT COUNT(*) FROM yearmonth AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t2.currency = 'eur' AND t1.consumption > 1000.00
143	debit_card_specializing	bird	Please list the product descriptions of the transactions taken place in the gas stations in the Czech Republic.	dev	medium	SELECT DISTINCT t3.description FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.country = 'cze'
144	debit_card_specializing	bird	Please list the disparate time of the transactions taken place in the gas stations from chain no. 11.	dev	easy	SELECT DISTINCT t1.time FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.chainid = 11
145	debit_card_specializing	bird	How many transactions taken place in the gas station in the Czech Republic are with a price of over 1000?	dev	easy	SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze' AND t1.price > 1000
146	debit_card_specializing	bird	Among the transactions made in the gas stations in the Czech Republic, how many of them are taken place after 2012/1/1?	dev	medium	SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze' AND STRFTIME('%y', t1.date) >= '2012'
147	debit_card_specializing	bird	What is the average total price of the transactions taken place in gas stations in the Czech Republic?	dev	easy	SELECT AVG(t1.price) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze'
148	debit_card_specializing	bird	For the customers who paid in the euro, what is their average total price of the transactions?	dev	easy	SELECT AVG(t1.price) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN customers AS t3 ON t1.customerid = t3.customerid WHERE t3.currency = 'eur'
149	debit_card_specializing	bird	Which customer paid the most in 2012/8/25?	dev	easy	SELECT customerid FROM transactions_1k WHERE date = '2012-08-25' GROUP BY customerid ORDER BY SUM(price) DESC LIMIT 1
150	debit_card_specializing	bird	Which country's gas station had the first paid cusomer in 2012/8/25?	dev	easy	SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-25' ORDER BY t1.time DESC LIMIT 1
151	debit_card_specializing	bird	What kind of currency did the customer paid at 16:25:00 in 2012/8/24?	dev	easy	SELECT DISTINCT t3.currency FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN customers AS t3 ON t1.customerid = t3.customerid WHERE t1.date = '2012-08-24' AND t1.time = '16:25:00'
152	debit_card_specializing	bird	What segment did the customer have at 2012/8/23 21:20:00?	dev	easy	SELECT t2.segment FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-23' AND t1.time = '21:20:00'
153	debit_card_specializing	bird	How many transactions were paid in CZK in the morning of 2012/8/26?	dev	medium	SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-26' AND t1.time < '13:00:00' AND t2.currency = 'czk'
154	debit_card_specializing	bird	For the earliest customer, what segment did he/she have?	dev	easy	SELECT t2.segment FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid ORDER BY date ASC LIMIT 1
155	debit_card_specializing	bird	For the deal happened at 2012/8/24 12:42:00, which country was it?	dev	easy	SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-24' AND t1.time = '12:42:00'
156	debit_card_specializing	bird	What was the product id of the transaction happened at 2012/8/23 21:20:00?	dev	easy	SELECT t1.productid FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-23' AND t1.time = '21:20:00'
157	debit_card_specializing	bird	For the customer who paid 124.05 in 2012/8/24, how much did he/she spend during the January of 2012? And what is the date and expenses exactly?	dev	medium	SELECT t1.customerid, t2.date, t2.consumption FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-24' AND t1.price = 124.05 AND t2.date = '201201'
158	debit_card_specializing	bird	For all the transactions happened during 8:00-9:00 in 2012/8/26, how many happened in CZE?	dev	medium	SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-26' AND t1.time BETWEEN '08:00:00' AND '09:00:00' AND t2.country = 'cze'
159	debit_card_specializing	bird	There's one customer spent 214582.17 in the June of 2013, which currency did he/she use?	dev	easy	SELECT t2.currency FROM yearmonth AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '201306' AND t1.consumption = 214582.17
160	debit_card_specializing	bird	Which country was the card owner of No.667467 in?	dev	easy	SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.cardid = '667467'
161	debit_card_specializing	bird	What's the nationality of the customer who spent 548.4 in 2012/8/24?	dev	easy	SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-24' AND t1.price = 548.4
162	debit_card_specializing	bird	What is the percentage of the customers who used EUR in 2012/8/25?	dev	easy	SELECT CAST(CAST(SUM(IIF(t2.currency = 'eur', 1, 0)) AS REAL) * 100 AS REAL) / COUNT(t1.customerid) FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-25'
163	debit_card_specializing	bird	For the customer who paid 634.8 in 2012/8/25, what was the consumption decrease rate from Year 2012 to 2013?	dev	hard	SELECT CAST(SUM(IIF(SUBSTRING(date, 1, 4) = '2012', consumption, 0)) - SUM(IIF(SUBSTRING(date, 1, 4) = '2013', consumption, 0)) AS REAL) / SUM(IIF(SUBSTRING(date, 1, 4) = '2012', consumption, 0)) FROM yearmonth WHERE customerid = (SELECT t1.customerid FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-25' AND t1.price = 634.8)
164	debit_card_specializing	bird	Which gas station has the highest amount of revenue?	dev	easy	SELECT gasstationid FROM transactions_1k GROUP BY gasstationid ORDER BY SUM(price) DESC LIMIT 1
165	debit_card_specializing	bird	What is the percentage of "premium" against the overall segment in Country = "SVK"?	dev	easy	SELECT CAST(CAST(SUM(IIF(country = 'svk' AND segment = 'premium', 1, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(country = 'svk', 1, 0)) FROM gasstations
166	debit_card_specializing	bird	What is the amount spent by customer "38508" at the gas stations? How much had the customer spent in January 2012?	dev	medium	SELECT SUM(t1.price), SUM(IIF(t3.date = '201201', t1.price, 0)) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN yearmonth AS t3 ON t1.customerid = t3.customerid WHERE t1.customerid = '38508'
167	debit_card_specializing	bird	Which are the top five best selling products? Please state the full name of them.	dev	easy	SELECT t2.description FROM transactions_1k AS t1 INNER JOIN products AS t2 ON t1.productid = t2.productid ORDER BY t1.amount DESC LIMIT 5
168	debit_card_specializing	bird	Who is the top spending customer and how much is the average price per single item purchased by this customer? What currency was being used?	dev	medium	SELECT t2.customerid, SUM(CAST(t2.price AS REAL) / t2.amount), t1.currency FROM customers AS t1 INNER JOIN transactions_1k AS t2 ON t1.customerid = t2.customerid WHERE t2.customerid = (SELECT customerid FROM yearmonth ORDER BY consumption DESC LIMIT 1) GROUP BY t2.customerid, t1.currency
169	debit_card_specializing	bird	Which country had the gas station that sold the most expensive product id No.2 for one unit?	dev	easy	SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.productid = 2 ORDER BY t1.price DESC LIMIT 1
170	debit_card_specializing	bird	For all the people who paid more than 29.00 per unit of product id No.5. Give their consumption status in the August of 2012.	dev	medium	SELECT t2.consumption FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE CAST(t1.price AS REAL) / t1.amount > 29.00 AND t1.productid = 5 AND t2.date = '201208'
171	regional_sales	bird	Which region has the most number of sales team?	train	hard	select region from `sales team` group by region order by count(distinct `sales team`) desc limit 1
172	regional_sales	bird	List all the customers with name containing the word 'Group'.	train	easy	select t from ( select iif(`customer names` like '%group%', `customer names`, null) as t from customers ) where t is not null
173	regional_sales	bird	What is the average median income for all City type of stores?	train	easy	select avg(`median income`) from `store locations` where type = 'city'
174	regional_sales	bird	Name the sales team and the region of order number 'SO - 000137'.	train	hard	select t2.`sales team`, t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.ordernumber = 'so - 000137'
175	regional_sales	bird	List all the order numbers along with its product name for each order under the sales team of 'Douglas Tucker'.	train	hard	select distinct t1.productid, t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t3.`sales team` = 'douglas tucker'
176	regional_sales	bird	Among orders in 2020, name the customers who had the greatest discount applied for 'Cocktail Glasses'	train	hard	select distinct 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 t3.`product name` = 'cocktail glasses' and substr(t2.orderdate, -2) = '20' and t2.`discount applied` = ( select t2.`discount applied` 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 t3.`product name` = 'cocktail glasses' and t2.orderdate like '%/%/20' order by t2.`discount applied` desc limit 1 )
177	regional_sales	bird	List all the order numbers for In-Store sales and find the city where the store is located.	train	hard	select distinct t1.ordernumber, t2.`city name` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.`sales channel` = 'in-store'
178	regional_sales	bird	Name the most expensive ordered? Who, when was it ordered?	train	hard	select t2.ordernumber, t1.`customer names`, t2.orderdate 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 order by t2.`unit cost` desc limit 1
179	regional_sales	bird	List all the numbers ordered by 'Rochester Ltd' in 2018.	train	hard	select distinct t from ( select case when t1.orderdate like '%/%/18' and t2.`customer names` = 'rochester ltd' then t1.ordernumber else null end as t from `sales orders` t1 inner join customers t2 on t2.customerid = t1._customerid ) where t is not null
180	regional_sales	bird	Provide all the orders from WARE-NMK1003. Name the product and sales team for each of these order.	train	hard	select distinct t1.`product name`, t3.`sales team` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t2.warehousecode = 'ware-nmk1003'
181	regional_sales	bird	List the name of all customers who had made orders online.	train	hard	select t from ( select case when t2.`sales channel` = 'online' then t1.`customer names` else null end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null
182	regional_sales	bird	Calculate the average net profit for bakeware product.	train	hard	select avg(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t2.`product name` = 'bakeware'
183	regional_sales	bird	Name the sales team name who had orders with the greatest net profit in 2020.	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 '%/%/20' group by t2.`sales team` order by sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) desc limit 1
184	regional_sales	bird	Sate the order number and calculate the net profit for each order under Joshua Bennett.	train	hard	select t1.ordernumber , replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'joshua bennett'
185	regional_sales	bird	Among the sales order shipped in July 2018, calculate the percentage of orders for home fragrances.	train	hard	select sum(case when t2.`product name` = 'home fragrances' then 1 else 0 end) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.shipdate like '7/%/18'
186	regional_sales	bird	List down the customer IDs and names that start with alphabet "W".	train	easy	select distinct customerid, `customer names` from customers where `customer names` like 'w%' order by `customer names` desc
187	regional_sales	bird	List down the product IDs and names that include the word "Outdoor".	train	easy	select productid, t from ( select productid , case when `product name` like '%outdoor%' then `product name` else null end as t from products ) where t is not null order by t desc
188	regional_sales	bird	Among the sales with 40% discount via in-store channel, how many products were shipped from warehouse code of WARE-NMK1003?	train	easy	select count(distinct t) from ( select case when `sales channel` = 'in-store' and warehousecode = 'ware-nmk1003' and `discount applied` = '0.4' then ordernumber else null end as t from `sales orders` ) where t is not null
189	regional_sales	bird	Mention the most populated city and median income of the store in Florida state.	train	medium	select `city name`, `median income` from `store locations` where state = 'florida' order by population desc limit 1
190	regional_sales	bird	Describe the ID, city and region of the stores which are in Allen country.	train	hard	select distinct t2.storeid, t2.`city name`, t1.region from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.county = 'allen county'
191	regional_sales	bird	List the ID, city, state and region for the store type which is fewer between borough and CDP.	train	hard	select distinct t2.storeid, t2.`city name`, t1.state, t2.type from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.type = 'borough' or t2.type = 'cdp'
192	regional_sales	bird	Write down the region and name of the sale team ID of 18 and compare their orders between in-store and online.	train	hard	select t2.region, t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.salesteamid = 18 and t1.`sales channel` = 'in-store' or t1.`sales channel` = 'online'
193	regional_sales	bird	Calculate the percentage of order via in-store channel of customer "Medline".	train	hard	select cast(sum(case when t1.`sales channel` = 'in-store' then 1 else 0 end) as real) * 100 / count(t1._customerid) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t2.`customer names` = 'medline '
194	regional_sales	bird	Describe the customer names and lasting delivery periods for the product of "Bedroom Furniture" by wholesale channel in 2019.	train	hard	select t1.`customer names`, t2.deliverydate 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.`sales channel` = 'wholesale' and t3.`product name` = 'bedroom furniture' and t2.orderdate like '%/%/19'
195	regional_sales	bird	Describe the customer names and product names which had over 3800 USD in net profit.	train	hard	select distinct `customer names`, `product name` from ( select t1.`customer names`, t3.`product name` , replace(t2.`unit price`, ',', '') - replace(t2.`unit cost`, ',', '') 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 > 3800
196	regional_sales	bird	List the store located cities with regions in no water area of California state.	train	hard	select distinct t2.`city name` from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'california' and t2.`water area` = '0'
197	regional_sales	bird	Calculate the order percentage by "Carlos Miller" sales team.	train	hard	select cast(sum(case when t2.`sales team` = 'carlos miller' 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
198	regional_sales	bird	Compare the number of orders between "Platters" and "Serveware" products.	train	hard	select sum(case when t2.`product name` = 'platters' then 1 else 0 end) as num1 , sum(case when t2.`product name` = 'serveware' then 1 else 0 end) as num2 from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid
199	regional_sales	bird	Calculate the total net profit of the store located in highest median income city.	train	hard	select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by t2.`median income` desc limit 1
200	regional_sales	bird	Among the sales team in South region, write down the numbers of orders made by the sales team ID of one digit.	train	hard	select count(t1.ordernumber) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.region = 'south' and t2.salesteamid between 1 and 9 group by t2.salesteamid having count(t1.ordernumber)

101

financial

bird

Name the account numbers of female clients who are oldest and have lowest average salary?

dev

medium

SELECT t3.account_id FROM client AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id INNER JOIN account AS t3 ON t2.district_id = t3.district_id INNER JOIN disp AS t4 ON t1.client_id = t4.client_id AND t4.account_id = t3.account_id WHERE t1.gender = 'f' ORDER BY t1.birth_date ASC, t2.a11 ASC LIMIT 1

102

financial

bird

How many clients who were born in 1920 stay in east Bohemia?

dev

easy

SELECT COUNT(t1.client_id) FROM client AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id WHERE STRFTIME('%y', t1.birth_date) = '1920' AND t2.a3 = 'east bohemia'

103

financial

bird

How many loan accounts are for pre-payment of duration of 24 months with weekly issuance of statement.

dev

easy

SELECT COUNT(t2.account_id) FROM account AS t1 INNER JOIN loan AS t2 ON t1.account_id = t2.account_id WHERE t2.duration = 24 AND t1.frequency = 'poplatek tydne'

104

financial

bird

What is the average amount of loan which are still on running contract with statement issuance after each transaction?

dev

medium

SELECT AVG(t2.amount) FROM account AS t1 INNER JOIN loan AS t2 ON t1.account_id = t2.account_id WHERE t2.status IN ('c', 'd') AND t1.frequency = 'poplatek po obratu'

105

financial

bird

List all ID and district for clients that can only have the right to issue permanent orders or apply for loans.

dev

medium

SELECT t3.client_id, t2.district_id, t2.a2 FROM account AS t1 INNER JOIN district AS t2 ON t1.district_id = t2.district_id INNER JOIN disp AS t3 ON t1.account_id = t3.account_id WHERE t3.type = 'owner'

106

financial

bird

Provide the IDs and age of the client with high level credit card, which is eligible for loans.

dev

medium

SELECT t1.client_id, STRFTIME('%y', CURRENT_TIMESTAMP) - STRFTIME('%y', t3.birth_date) FROM disp AS t1 INNER JOIN card AS t2 ON t2.disp_id = t1.disp_id INNER JOIN client AS t3 ON t1.client_id = t3.client_id WHERE t2.type = 'gold' AND t1.type = 'owner'

107

debit_card_specializing

bird

How many gas stations in CZE has Premium gas?

dev

easy

SELECT COUNT(gasstationid) FROM gasstations WHERE country = 'cze' AND segment = 'premium'

108

debit_card_specializing

bird

What is the ratio of customers who pay in EUR against customers who pay in CZK?

dev

easy

SELECT CAST(SUM(IIF(currency = 'eur', 1, 0)) AS REAL) / SUM(IIF(currency = 'czk', 1, 0)) AS ratio FROM customers

109

debit_card_specializing

bird

In 2012, who had the least consumption in LAM?

dev

medium

SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam' AND SUBSTRING(t2.date, 1, 4) = '2012' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1

110

debit_card_specializing

bird

What was the average monthly consumption of customers in SME for the year 2013?

dev

medium

SELECT CAST(AVG(t2.consumption) AS REAL) / 12 FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2013' AND t1.segment = 'sme'

111

debit_card_specializing

bird

Which customers, paying in CZK, consumed the most gas in 2011?

dev

medium

SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' AND t2.date BETWEEN 201101 AND 201112 GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1

112

debit_card_specializing

bird

How many customers in KAM had a consumption of less than 30,000 for the year 2012?

dev

medium

SELECT COUNT(*) FROM (SELECT t2.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'kam' AND SUBSTRING(t2.date, 1, 4) = '2012' GROUP BY t2.customerid HAVING SUM(t2.consumption) < 30000) AS t1

113

debit_card_specializing

bird

What was the difference in gas consumption between CZK-paying customers and EUR-paying customers in 2012?

dev

hard

SELECT SUM(IIF(t1.currency = 'czk', t2.consumption, 0)) - SUM(IIF(t1.currency = 'eur', t2.consumption, 0)) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2012'

114

debit_card_specializing

bird

Which year recorded the most gas use paid in EUR?

dev

easy

SELECT SUBSTRING(t2.date, 1, 4) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'eur' GROUP BY SUBSTRING(t2.date, 1, 4) ORDER BY SUM(t2.consumption) DESC LIMIT 1

115

debit_card_specializing

bird

Which segment had the least consumption?

dev

easy

SELECT t1.segment FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid GROUP BY t1.segment ORDER BY SUM(t2.consumption) ASC LIMIT 1

116

debit_card_specializing

bird

Which year recorded the most consumption of gas paid in CZK?

dev

medium

SELECT SUBSTRING(t2.date, 1, 4) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' GROUP BY SUBSTRING(t2.date, 1, 4) ORDER BY SUM(t2.consumption) DESC LIMIT 1

117

debit_card_specializing

bird

What was the gas consumption peak month for SME customers in 2013?

dev

medium

SELECT SUBSTRING(t2.date, 5, 2) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE SUBSTRING(t2.date, 1, 4) = '2013' AND t1.segment = 'sme' GROUP BY SUBSTRING(t2.date, 5, 2) ORDER BY SUM(t2.consumption) DESC LIMIT 1

118

debit_card_specializing

bird

What is the difference in the annual average consumption of the customers with the least amount of consumption paid in CZK for 2013 between SME and LAM, LAM and KAM, and KAM and SME?

dev

hard

SELECT CAST(SUM(IIF(t1.segment = 'sme', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'lam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid), CAST(SUM(IIF(t1.segment = 'lam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'kam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid), CAST(SUM(IIF(t1.segment = 'kam', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) - CAST(SUM(IIF(t1.segment = 'sme', t2.consumption, 0)) AS REAL) / COUNT(t1.customerid) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'czk' AND t2.consumption = (SELECT MIN(consumption) FROM yearmonth) AND t2.date BETWEEN 201301 AND 201312

119

debit_card_specializing

bird

Which of the three segments—SME, LAM and KAM—has the biggest and lowest percentage increases in consumption paid in EUR between 2012 and 2013?

dev

hard

SELECT CAST(CAST((SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2012%', t2.consumption, 0))) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'sme' AND t2.date LIKE '2012%', t2.consumption, 0)), CAST(CAST(SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2012%', t2.consumption, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'lam' AND t2.date LIKE '2012%', t2.consumption, 0)), CAST(CAST(SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2013%', t2.consumption, 0)) - SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2012%', t2.consumption, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(t1.segment = 'kam' AND t2.date LIKE '2012%', t2.consumption, 0)) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid

120

debit_card_specializing

bird

How much did customer 6 consume in total between August and November 2013?

dev

easy

SELECT SUM(consumption) FROM yearmonth WHERE customerid = 6 AND date BETWEEN '201308' AND '201311'

121

debit_card_specializing

bird

How many more "discount" gas stations does the Czech Republic have compared to Slovakia?

dev

easy

SELECT SUM(IIF(country = 'cze', 1, 0)) - SUM(IIF(country = 'svk', 1, 0)) FROM gasstations WHERE segment = 'discount'

122

debit_card_specializing

bird

How much more was customer 7 consuming in April 2013 than customer 5?

dev

easy

SELECT SUM(IIF(customerid = 7, consumption, 0)) - SUM(IIF(customerid = 5, consumption, 0)) FROM yearmonth WHERE date = '201304'

123

debit_card_specializing

bird

Is it true that more SMEs pay in Czech koruna than in euros? If so, how many more?

dev

easy

SELECT SUM(currency = 'czk') - SUM(currency = 'eur') FROM customers WHERE segment = 'sme'

124

debit_card_specializing

bird

Which LAM customer used the Euro as their currency and had the highest consumption in October 2013?

dev

medium

SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam' AND t2.date = '201310' AND t1.currency = 'eur' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1

125

debit_card_specializing

bird

Who among KAM's customers consumed the most? How much did it consume?

dev

easy

SELECT t2.customerid, SUM(t2.consumption) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'kam' GROUP BY t2.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1

126

debit_card_specializing

bird

How much did the KAM customers consume in total in May 2013?

dev

easy

SELECT SUM(t2.consumption) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201305' AND t1.segment = 'kam'

127

debit_card_specializing

bird

How many percent of LAM customer consumed more than 46.73?

dev

medium

SELECT CAST(CAST(SUM(IIF(t2.consumption > 46.73, 1, 0)) AS REAL) * 100 AS REAL) / COUNT(t1.customerid) FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.segment = 'lam'

128

debit_card_specializing

bird

Which country has more "value for money" gas stations? Please give a total number of "value for money" gas stations in each country.

dev

easy

SELECT country, (SELECT COUNT(gasstationid) FROM gasstations WHERE segment = 'value for money') FROM gasstations WHERE segment = 'value for money' GROUP BY country ORDER BY COUNT(gasstationid) DESC LIMIT 1

129

debit_card_specializing

bird

What percentage of KAM customers pay in euros?

dev

easy

SELECT CAST(CAST(SUM(currency = 'eur') AS REAL) * 100 AS REAL) / COUNT(customerid) FROM customers WHERE segment = 'kam'

130

debit_card_specializing

bird

In February 2012, what percentage of customers consumed more than 528.3?

dev

easy

SELECT CAST(CAST(SUM(IIF(consumption > 528.3, 1, 0)) AS REAL) * 100 AS REAL) / COUNT(customerid) FROM yearmonth WHERE date = '201202'

131

debit_card_specializing

bird

What percentage of Slovakian gas stations are premium?

dev

easy

SELECT CAST(CAST(SUM(IIF(segment = 'premium', 1, 0)) AS REAL) * 100 AS REAL) / COUNT(gasstationid) FROM gasstations WHERE country = 'svk'

132

debit_card_specializing

bird

Which client ID consumed the most in September 2013?

dev

easy

SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201309' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) DESC LIMIT 1

133

debit_card_specializing

bird

Which client segment consumed the least in September 2013?

dev

easy

SELECT t1.segment FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201309' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1

134

debit_card_specializing

bird

Which SME customer consumed the least in June 2012?

dev

easy

SELECT t1.customerid FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t2.date = '201206' AND t1.segment = 'sme' GROUP BY t1.customerid ORDER BY SUM(t2.consumption) ASC LIMIT 1

135

debit_card_specializing

bird

What is the highest monthly consumption in the year 2012?

dev

easy

SELECT SUM(consumption) FROM yearmonth WHERE SUBSTRING(date, 1, 4) = '2012' GROUP BY SUBSTRING(date, 5, 2) ORDER BY SUM(consumption) DESC LIMIT 1

136

debit_card_specializing

bird

What is the biggest monthly consumption of the customers who use euro as their currency?

dev

easy

SELECT CAST(SUM(t2.consumption) AS REAL) / 12 AS monthlyconsumption FROM customers AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.currency = 'eur' GROUP BY t1.customerid ORDER BY monthlyconsumption DESC LIMIT 1

137

debit_card_specializing

bird

Please list the product description of the products consumed in September, 2013.

dev

easy

SELECT t3.description FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.date = '201309'

138

debit_card_specializing

bird

Please list the countries of the gas stations with transactions taken place in June, 2013.

dev

medium

SELECT DISTINCT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN yearmonth AS t3 ON t1.customerid = t3.customerid WHERE t3.date = '201306'

139

debit_card_specializing

bird

Please list the chains of the gas stations with transactions in euro.

dev

easy

SELECT DISTINCT t3.chainid FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid INNER JOIN gasstations AS t3 ON t1.gasstationid = t3.gasstationid WHERE t2.currency = 'eur'

140

debit_card_specializing

bird

Please list the product description of the products bought in transactions in euro.

dev

easy

SELECT DISTINCT t1.productid, t3.description FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.currency = 'eur'

141

debit_card_specializing

bird

What is the average total price of the transactions taken place in January, 2012?

dev

easy

SELECT AVG(amount) FROM transactions_1k WHERE date LIKE '2012-01%'

142

debit_card_specializing

bird

Among the customers who paid in euro, how many of them have a monthly consumption of over 1000?

dev

easy

SELECT COUNT(*) FROM yearmonth AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t2.currency = 'eur' AND t1.consumption > 1000.00

143

debit_card_specializing

bird

Please list the product descriptions of the transactions taken place in the gas stations in the Czech Republic.

dev

medium

SELECT DISTINCT t3.description FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN products AS t3 ON t1.productid = t3.productid WHERE t2.country = 'cze'

144

debit_card_specializing

bird

Please list the disparate time of the transactions taken place in the gas stations from chain no. 11.

dev

easy

SELECT DISTINCT t1.time FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.chainid = 11

145

debit_card_specializing

bird

How many transactions taken place in the gas station in the Czech Republic are with a price of over 1000?

dev

easy

SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze' AND t1.price > 1000

146

debit_card_specializing

bird

Among the transactions made in the gas stations in the Czech Republic, how many of them are taken place after 2012/1/1?

dev

medium

SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze' AND STRFTIME('%y', t1.date) >= '2012'

147

debit_card_specializing

bird

What is the average total price of the transactions taken place in gas stations in the Czech Republic?

dev

easy

SELECT AVG(t1.price) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t2.country = 'cze'

148

debit_card_specializing

bird

For the customers who paid in the euro, what is their average total price of the transactions?

dev

easy

SELECT AVG(t1.price) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN customers AS t3 ON t1.customerid = t3.customerid WHERE t3.currency = 'eur'

149

debit_card_specializing

bird

Which customer paid the most in 2012/8/25?

dev

easy

SELECT customerid FROM transactions_1k WHERE date = '2012-08-25' GROUP BY customerid ORDER BY SUM(price) DESC LIMIT 1

150

debit_card_specializing

bird

Which country's gas station had the first paid cusomer in 2012/8/25?

dev

easy

SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-25' ORDER BY t1.time DESC LIMIT 1

151

debit_card_specializing

bird

What kind of currency did the customer paid at 16:25:00 in 2012/8/24?

dev

easy

SELECT DISTINCT t3.currency FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN customers AS t3 ON t1.customerid = t3.customerid WHERE t1.date = '2012-08-24' AND t1.time = '16:25:00'

152

debit_card_specializing

bird

What segment did the customer have at 2012/8/23 21:20:00?

dev

easy

SELECT t2.segment FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-23' AND t1.time = '21:20:00'

153

debit_card_specializing

bird

How many transactions were paid in CZK in the morning of 2012/8/26?

dev

medium

SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-26' AND t1.time < '13:00:00' AND t2.currency = 'czk'

154

debit_card_specializing

bird

For the earliest customer, what segment did he/she have?

dev

easy

SELECT t2.segment FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid ORDER BY date ASC LIMIT 1

155

debit_card_specializing

bird

For the deal happened at 2012/8/24 12:42:00, which country was it?

dev

easy

SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-24' AND t1.time = '12:42:00'

156

debit_card_specializing

bird

What was the product id of the transaction happened at 2012/8/23 21:20:00?

dev

easy

SELECT t1.productid FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-23' AND t1.time = '21:20:00'

157

debit_card_specializing

bird

For the customer who paid 124.05 in 2012/8/24, how much did he/she spend during the January of 2012? And what is the date and expenses exactly?

dev

medium

SELECT t1.customerid, t2.date, t2.consumption FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-24' AND t1.price = 124.05 AND t2.date = '201201'

158

debit_card_specializing

bird

For all the transactions happened during 8:00-9:00 in 2012/8/26, how many happened in CZE?

dev

medium

SELECT COUNT(t1.transactionid) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-26' AND t1.time BETWEEN '08:00:00' AND '09:00:00' AND t2.country = 'cze'

159

debit_card_specializing

bird

There's one customer spent 214582.17 in the June of 2013, which currency did he/she use?

dev

easy

SELECT t2.currency FROM yearmonth AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '201306' AND t1.consumption = 214582.17

160

debit_card_specializing

bird

Which country was the card owner of No.667467 in?

dev

easy

SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.cardid = '667467'

161

debit_card_specializing

bird

What's the nationality of the customer who spent 548.4 in 2012/8/24?

dev

easy

SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-24' AND t1.price = 548.4

162

debit_card_specializing

bird

What is the percentage of the customers who used EUR in 2012/8/25?

dev

easy

SELECT CAST(CAST(SUM(IIF(t2.currency = 'eur', 1, 0)) AS REAL) * 100 AS REAL) / COUNT(t1.customerid) FROM transactions_1k AS t1 INNER JOIN customers AS t2 ON t1.customerid = t2.customerid WHERE t1.date = '2012-08-25'

163

debit_card_specializing

bird

For the customer who paid 634.8 in 2012/8/25, what was the consumption decrease rate from Year 2012 to 2013?

dev

hard

SELECT CAST(SUM(IIF(SUBSTRING(date, 1, 4) = '2012', consumption, 0)) - SUM(IIF(SUBSTRING(date, 1, 4) = '2013', consumption, 0)) AS REAL) / SUM(IIF(SUBSTRING(date, 1, 4) = '2012', consumption, 0)) FROM yearmonth WHERE customerid = (SELECT t1.customerid FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.date = '2012-08-25' AND t1.price = 634.8)

164

debit_card_specializing

bird

Which gas station has the highest amount of revenue?

dev

easy

SELECT gasstationid FROM transactions_1k GROUP BY gasstationid ORDER BY SUM(price) DESC LIMIT 1

165

debit_card_specializing

bird

What is the percentage of "premium" against the overall segment in Country = "SVK"?

dev

easy

SELECT CAST(CAST(SUM(IIF(country = 'svk' AND segment = 'premium', 1, 0)) AS REAL) * 100 AS REAL) / SUM(IIF(country = 'svk', 1, 0)) FROM gasstations

166

debit_card_specializing

bird

What is the amount spent by customer "38508" at the gas stations? How much had the customer spent in January 2012?

dev

medium

SELECT SUM(t1.price), SUM(IIF(t3.date = '201201', t1.price, 0)) FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid INNER JOIN yearmonth AS t3 ON t1.customerid = t3.customerid WHERE t1.customerid = '38508'

167

debit_card_specializing

bird

Which are the top five best selling products? Please state the full name of them.

dev

easy

SELECT t2.description FROM transactions_1k AS t1 INNER JOIN products AS t2 ON t1.productid = t2.productid ORDER BY t1.amount DESC LIMIT 5

168

debit_card_specializing

bird

Who is the top spending customer and how much is the average price per single item purchased by this customer? What currency was being used?

dev

medium

SELECT t2.customerid, SUM(CAST(t2.price AS REAL) / t2.amount), t1.currency FROM customers AS t1 INNER JOIN transactions_1k AS t2 ON t1.customerid = t2.customerid WHERE t2.customerid = (SELECT customerid FROM yearmonth ORDER BY consumption DESC LIMIT 1) GROUP BY t2.customerid, t1.currency

169

debit_card_specializing

bird

Which country had the gas station that sold the most expensive product id No.2 for one unit?

dev

easy

SELECT t2.country FROM transactions_1k AS t1 INNER JOIN gasstations AS t2 ON t1.gasstationid = t2.gasstationid WHERE t1.productid = 2 ORDER BY t1.price DESC LIMIT 1

170

debit_card_specializing

bird

For all the people who paid more than 29.00 per unit of product id No.5. Give their consumption status in the August of 2012.

dev

medium

SELECT t2.consumption FROM transactions_1k AS t1 INNER JOIN yearmonth AS t2 ON t1.customerid = t2.customerid WHERE CAST(t1.price AS REAL) / t1.amount > 29.00 AND t1.productid = 5 AND t2.date = '201208'

171

regional_sales

bird

Which region has the most number of sales team?

train

hard

select region from `sales team` group by region order by count(distinct `sales team`) desc limit 1

172

regional_sales

bird

List all the customers with name containing the word 'Group'.

train

easy

select t from ( select iif(`customer names` like '%group%', `customer names`, null) as t from customers ) where t is not null

173

regional_sales

bird

What is the average median income for all City type of stores?

train

easy

select avg(`median income`) from `store locations` where type = 'city'

174

regional_sales

bird

Name the sales team and the region of order number 'SO - 000137'.

train

hard

select t2.`sales team`, t2.region from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t1.ordernumber = 'so - 000137'

175

regional_sales

bird

List all the order numbers along with its product name for each order under the sales team of 'Douglas Tucker'.

train

hard

select distinct t1.productid, t1.`product name` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t3.`sales team` = 'douglas tucker'

176

regional_sales

bird

Among orders in 2020, name the customers who had the greatest discount applied for 'Cocktail Glasses'

train

hard

select distinct 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 t3.`product name` = 'cocktail glasses' and substr(t2.orderdate, -2) = '20' and t2.`discount applied` = ( select t2.`discount applied` 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 t3.`product name` = 'cocktail glasses' and t2.orderdate like '%/%/20' order by t2.`discount applied` desc limit 1 )

177

regional_sales

bird

List all the order numbers for In-Store sales and find the city where the store is located.

train

hard

select distinct t1.ordernumber, t2.`city name` from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid where t1.`sales channel` = 'in-store'

178

regional_sales

bird

Name the most expensive ordered? Who, when was it ordered?

train

hard

select t2.ordernumber, t1.`customer names`, t2.orderdate 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 order by t2.`unit cost` desc limit 1

179

regional_sales

bird

List all the numbers ordered by 'Rochester Ltd' in 2018.

train

hard

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

180

regional_sales

bird

Provide all the orders from WARE-NMK1003. Name the product and sales team for each of these order.

train

hard

select distinct t1.`product name`, t3.`sales team` from products as t1 inner join `sales orders` as t2 on t2._productid = t1.productid inner join `sales team` as t3 on t3.salesteamid = t2._salesteamid where t2.warehousecode = 'ware-nmk1003'

181

regional_sales

bird

List the name of all customers who had made orders online.

train

hard

select t from ( select case when t2.`sales channel` = 'online' then t1.`customer names` else null end as t from customers t1 inner join `sales orders` t2 on t2._customerid = t1.customerid ) where t is not null

182

regional_sales

bird

Calculate the average net profit for bakeware product.

train

hard

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

183

regional_sales

bird

Name the sales team name who had orders with the greatest net profit in 2020.

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 '%/%/20' group by t2.`sales team` order by sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) desc limit 1

184

regional_sales

bird

Sate the order number and calculate the net profit for each order under Joshua Bennett.

train

hard

select t1.ordernumber , replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '') from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.`sales team` = 'joshua bennett'

185

regional_sales

bird

Among the sales order shipped in July 2018, calculate the percentage of orders for home fragrances.

train

hard

select sum(case when t2.`product name` = 'home fragrances' then 1 else 0 end) * 100 / count(t1.ordernumber) from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid where t1.shipdate like '7/%/18'

186

regional_sales

bird

List down the customer IDs and names that start with alphabet "W".

train

easy

select distinct customerid, `customer names` from customers where `customer names` like 'w%' order by `customer names` desc

187

regional_sales

bird

List down the product IDs and names that include the word "Outdoor".

train

easy

select productid, t from ( select productid , case when `product name` like '%outdoor%' then `product name` else null end as t from products ) where t is not null order by t desc

188

regional_sales

bird

Among the sales with 40% discount via in-store channel, how many products were shipped from warehouse code of WARE-NMK1003?

train

easy

select count(distinct t) from ( select case when `sales channel` = 'in-store' and warehousecode = 'ware-nmk1003' and `discount applied` = '0.4' then ordernumber else null end as t from `sales orders` ) where t is not null

189

regional_sales

bird

Mention the most populated city and median income of the store in Florida state.

train

medium

select `city name`, `median income` from `store locations` where state = 'florida' order by population desc limit 1

190

regional_sales

bird

Describe the ID, city and region of the stores which are in Allen country.

train

hard

select distinct t2.storeid, t2.`city name`, t1.region from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.county = 'allen county'

191

regional_sales

bird

List the ID, city, state and region for the store type which is fewer between borough and CDP.

train

hard

select distinct t2.storeid, t2.`city name`, t1.state, t2.type from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.type = 'borough' or t2.type = 'cdp'

192

regional_sales

bird

Write down the region and name of the sale team ID of 18 and compare their orders between in-store and online.

train

hard

select t2.region, t2.`sales team` from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.salesteamid = 18 and t1.`sales channel` = 'in-store' or t1.`sales channel` = 'online'

193

regional_sales

bird

Calculate the percentage of order via in-store channel of customer "Medline".

train

hard

select cast(sum(case when t1.`sales channel` = 'in-store' then 1 else 0 end) as real) * 100 / count(t1._customerid) from `sales orders` as t1 inner join customers as t2 on t2.customerid = t1._customerid where t2.`customer names` = 'medline '

194

regional_sales

bird

Describe the customer names and lasting delivery periods for the product of "Bedroom Furniture" by wholesale channel in 2019.

train

hard

select t1.`customer names`, t2.deliverydate 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.`sales channel` = 'wholesale' and t3.`product name` = 'bedroom furniture' and t2.orderdate like '%/%/19'

195

regional_sales

bird

Describe the customer names and product names which had over 3800 USD in net profit.

train

hard

select distinct `customer names`, `product name` from ( select t1.`customer names`, t3.`product name` , replace(t2.`unit price`, ',', '') - replace(t2.`unit cost`, ',', '') 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 > 3800

196

regional_sales

bird

List the store located cities with regions in no water area of California state.

train

hard

select distinct t2.`city name` from regions as t1 inner join `store locations` as t2 on t2.statecode = t1.statecode where t2.state = 'california' and t2.`water area` = '0'

197

regional_sales

bird

Calculate the order percentage by "Carlos Miller" sales team.

train

hard

select cast(sum(case when t2.`sales team` = 'carlos miller' 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

198

regional_sales

bird

Compare the number of orders between "Platters" and "Serveware" products.

train

hard

select sum(case when t2.`product name` = 'platters' then 1 else 0 end) as num1 , sum(case when t2.`product name` = 'serveware' then 1 else 0 end) as num2 from `sales orders` as t1 inner join products as t2 on t2.productid = t1._productid

199

regional_sales

bird

Calculate the total net profit of the store located in highest median income city.

train

hard

select sum(replace(t1.`unit price`, ',', '') - replace(t1.`unit cost`, ',', '')) from `sales orders` as t1 inner join `store locations` as t2 on t2.storeid = t1._storeid order by t2.`median income` desc limit 1

200

regional_sales

bird

Among the sales team in South region, write down the numbers of orders made by the sales team ID of one digit.

train

hard

select count(t1.ordernumber) from `sales orders` as t1 inner join `sales team` as t2 on t2.salesteamid = t1._salesteamid where t2.region = 'south' and t2.salesteamid between 1 and 9 group by t2.salesteamid having count(t1.ordernumber)