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retail_complains | Lists the last name of all clients who made a PS-type complaint and were served by TOVA. | PS-type complaint refers to type = 'PS'; served by refers to server;
| SELECT t1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' AND T2.server = 'TOVA' | 300 | |
retail_complains | How many clients under the age of 35 gave Eagle National Mortgage 1 star? | age < 35; Eagle National Mortgage refers to Product = 'Eagle National Mortgage'; | SELECT COUNT(T2.age) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle National Mortgage' AND T1.Stars = 1 AND T2.age < 35 | 301 | |
retail_complains | How many male clients born in the year 1977 were given priority 0 in their complaints? | male refers to sex = 'Male'; | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Male' AND T2.priority = 0 AND T1.year = 1997 | 302 | |
retail_complains | List by name all customers who provided consent for the tag Older American. | name refers to first; provided consent refers to "Consumer consent provided?" not in ('N/A', null, 'empty'); | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` != 'N/A' AND T2.`Consumer consent provided?` IS NOT NULL AND T2.`Consumer consent provided?` != '' | 303 | |
retail_complains | What is the name of the state in which there have been the largest number of complaints with priority 0? | largest number of complaints refers to MAX(COUNT("Complaint ID") WHERE priority = 0); | SELECT T2.state FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T1.priority = 0 GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1 | 304 | |
retail_complains | How many complaints made by women and served after 3 pm received a timely response from the company? | women refers to sex = 'Female'; served after 3 pm refers to ser_time BETWEEN '15:00:01' AND '23:59:59'; received a timely response refers to "Timely response?" = 'Yes'; | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.sex = 'Female' AND T1.ser_start BETWEEN '15:00:01' AND '23:59:59' AND T3.`Timely response?` = 'Yes' | 305 | |
retail_complains | How many complaints were served in 5 minutes or less by DORIT and responded to the customer with an explanation, were made by phone? | served in 5 minutes or less refers to ser_time < '00:05:00'; DORIT refers to server = 'DORIT'; responded with an explanation refers to "Company response to consumer" = 'Closed with explanation'; made by refers to "Submitted via"; | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time < '00:05:00' AND T1.server = 'DORIT' AND T2.`Submitted via` = 'Phone' AND T2.`Company response to consumer` = 'Closed with explanation' | 306 | |
retail_complains | How many clients with the last name Alvarado are from Maryland? | The abbreviation of Maryland is 'MD'; | SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T1.state_abbrev = T3.StateCode WHERE T2.last = 'Alvarado' AND T2.state = 'MD' | 307 | |
retail_complains | How many reviews by people between 30 and 50 years include the word 'great'? | between 30 and 50 years refers to age BETWEEN 30 AND 50; include the word great refers to Review like '%Great%'; | SELECT COUNT(T1.Reviews) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.age BETWEEN 30 AND 50 AND T1.Reviews LIKE '%great%' | 308 | |
retail_complains | What is the full address of the customers who, having received a timely response from the company, have dispute about that response? | full address = address_1, address_2; received a timely response refers to Timely response? = 'Yes'; have dispute refers to "Consumer disputed?" = 'Yes'; | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'Yes' AND T2.`Consumer disputed?` = 'Yes' | 309 | |
retail_complains | How many complaints from female clients born in the year 2000 were not sent through the web? | female refers to sex = 'Female'; sent through refers to "Submitted via"; not sent through web refers to "Submitted via" ! = 'Web';
| SELECT COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T1.year = 2000 AND T2.`Submitted via` != 'Web' | 310 | |
retail_complains | List all the complaints narratives made by the customer named Brenda and last name Mayer. | complaints narratives refers to "Consumer complaint narrative"; | SELECT T2.`Consumer complaint narrative` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Brenda' AND T1.last = 'Mayer' | 311 | |
retail_complains | How many complaints from customers with a gmail.com email were received by the company in February 2017? | gmail.com email refers to email like '%gmail.com'; in February 2017 refers to "Date received" BETWEEN '2017-01-02' AND '2017-02-28'; | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE (T2.`Date received` LIKE '2017-02%' OR T2.`Date received` LIKE '2017-01%') AND T1.email LIKE '%@gmail.com' | 312 | |
retail_complains | What is the average number of stars given by Oregon clients in their reviews? | average = DIVIDE(SUM(State = 'Oregon'), COUNT(district_id)); Oregon refers to state = 'Oregon'; | SELECT CAST(SUM(T3.Stars) AS REAL) / COUNT(T3.Stars) AS average FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.State = 'Oregon' | 313 | |
retail_complains | What percentage of clients who sent their complaints by postal mail are age 50 and older? | percentage = MULTIPLY(DIVIDE(SUM("Submitted via" = 'Postal mail'), COUNT(client_id)), 1.0); sent their complaints by refers to "Submitted via"; age > 50; | SELECT CAST(SUM(CASE WHEN T1.age > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail' | 314 | |
retail_complains | What is the average age of Norwalk clients? | average age = AVG(age); Norwalk refers to city = 'Norwalk'; | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk' | 315 | |
retail_complains | How many clients who live in Kansas City provided a 1-star review? | 1-star review refers stars = 1; | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Kansas City' AND T1.Stars = 1 | 316 | |
retail_complains | Which state has the highest number of clients who gave a 5-star review? | highest number of clients refers to MAX(COUNT(client_id)); 5-star review refers to stars = 5; | SELECT T2.state_abbrev FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 GROUP BY T2.state_abbrev ORDER BY COUNT(T2.state_abbrev) DESC LIMIT 1 | 317 | |
retail_complains | Which region does Noah Thompson live in? | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Noah' AND T1.last = 'Thompson' | 318 | ||
retail_complains | How did Kyran Muller submit his complaint? | how it was submitted refers to "Submitted via"; | SELECT DISTINCT T2.`Submitted via` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kyran' AND T1.last = 'Muller' | 319 | |
retail_complains | What are the products that people who were born after 2005 complain about? | year > 2005; | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005 | 320 | |
retail_complains | How long was Kendall Allen's complaint about her credit card? | how long refers to ser_time; credit card refers to Product = 'Credit Card'; | SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card' | 321 | |
retail_complains | What was the issue that the client with the longest server time faced? | longest server time refers to MAX(ser_time); | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ) | 322 | |
retail_complains | How many clients who live in New York City submitted their complaints via fax? | submitted complaints via fax refers to "Submitted via" = 'Fax'; | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City' AND T2.`Submitted via` = 'Fax' | 323 | |
retail_complains | What is the percentage of male clients complaining about their credit cards? | percentage = MULTIPLY(DIVIDE(SUM(sex = 'Male'), COUNT(client_id)), 1.0); male refers to sex = 'Male'; credit cards refers to Product = 'Credit card'; | SELECT CAST(SUM(CASE WHEN T1.sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' | 324 | |
retail_complains | Please list any two clients with their full names who have been tagged as "Older American" by the company without seeking their permission. | full names = first, middle, last; without seeking their permission refers to "Consumer consent provided?" in (null, 'N/A' or 'empty'); | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` IN (NULL, 'N/A', '') LIMIT 2 | 325 | |
retail_complains | What is the birth date of the youngest client? | birth date refers to year, month, day; youngest client refers to max(year, month, day) | SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1 | 326 | |
retail_complains | How many times does the consumer have no dispute over a non-timely response from the company? | no dispute refers to Consumer disputed? = 'No'; non-timely response refers to Timely response? = 'No' | SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No' | 327 | |
retail_complains | How many of the complaints are longer than 15 minutes? | longer than 15 minutes refers to ser_time > '00:15:00' | SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15' | 328 | |
retail_complains | What is the most common issue for the highest priority complaints? | most common refers to max(count(issue)); highest priority refers to priority = 2 | SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1 | 329 | |
retail_complains | List the full names of all clients who live in the Pacific division. | full name refers to first, last | SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific' | 330 | |
retail_complains | What is the social number of the person who made the most complaints? | social number refers to social; most complaints refers to max(count(event.Client_ID)) | SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1 | 331 | |
retail_complains | Which is the city where most of the 1 star reviews come from? | most refers to max(count(state_abbrev)); 1 star review refers to Stars = 1 | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1 | 332 | |
retail_complains | What is the address of the client who made a complaint via postal mail on March 14, 2012? | address refers to address_1, address_2; via postal mail refers to Submitted via = 'Postal mail'; March 14 2012 refers to Date received = '2012-03-14' | SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail' | 333 | |
retail_complains | Among the female clients, how many of them have a complaint with a priority of 1? | female refers to sex = 'Female' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1 | 334 | |
retail_complains | List all the server of the phone complaints with a late response from the company. | phone complaint refers to Submitted via = 'Phone'; late response refers to Timely response? = 'No' | SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No' | 335 | |
retail_complains | List all the issues of the complaints made by Kaitlyn Eliza Elliott. | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott' | 336 | ||
retail_complains | What is the name of the state that the client with the email "[email protected]" lives in? | SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = '[email protected]' | 337 | ||
retail_complains | Which region has the second most clients? | region refers to division; second most refers to second max(client_id) | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1 | 338 | |
retail_complains | Who is the owner of the final phone number for the complaints on server "MORIAH" on 9/11/2013? | owner refers to first, middle, last; on 9/11/2013 refers to Date received = '2013-09-11' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11' | 339 | |
retail_complains | Compute the average time in minute for each age group | teenager refers to 13 < age < = 19; adult refers to 19 < age < = 65; elder refers to age < = 65; highest average time per complaint = max(divide(sum(ser_time), count(ser_time))) | SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` | 340 | |
retail_complains | What percentage of complaints are from the elderly? | elder refers to age < = 65; percentage refers to divide(sum(age < = 65) , count(client_id)) * 100% | SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID | 341 | |
retail_complains | Calculate the percentage of male clients from Indianapolis City. | male refers to sex = 'Male'; Indianapolis City refers to city = 'Indianapolis'; percentage = divide(count(client_id where sex = 'Male' and city = 'Indianapolis') , count(client_id where city = 'Indianapolis')) * 100% | SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis' | 342 | |
retail_complains | Among the teenager clients who use Google account and Microsoft account, which group of client is more than the other? | teenager refers to 13 < age < = 19; Google account refers to email like '%@gmail.com'; Microsoft account refers to email like '%@outlook.com' | SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19 | 343 | |
retail_complains | What is the full name of client whose email address is [email protected]? | full name refers to first middle last | SELECT first, middle, last FROM client WHERE email = '[email protected]' | 344 | |
retail_complains | What is the first name of clients who have the highest priority? | first name refers to first; highest priority refers to priority = 2 | SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs ) | 345 | |
retail_complains | List down the email of client whose complaint is type "PS". | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' | 346 | ||
retail_complains | Among the elderlies, state the last name of whose complaint is handled in server YIFAT? | elder refers to age < = 65; last name refers to last | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT' | 347 | |
retail_complains | How many clients who live in New York City have the complaint outcome as "AGENT"? | New York City refers to city = 'New York City' | SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT' | 348 | |
retail_complains | List down the full name of clients who have disputed the response from company. | full name refers to first, middle, last; disputed the response refers to Consumer disputed? = 'Yes' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes' | 349 | |
retail_complains | What are the complaint id of client who were born in 1931? | in 1931 refers to year = 1931 | SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931 | 350 | |
retail_complains | Calculate the percentage of complaints made by Google account client in server ZOHARI. | Google account refers to email like '%@gmail.com'; percentage = divide(count(Complaint ID where email like '%@gmail.com') , count(Complaint ID)) * 100% | SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI' | 351 | |
retail_complains | State the full name of clients with server time of 20 minutes and above. | full name refers to first, middle, last; server time of 20 minutes and above refers to ser_time > '00:20:00' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20' | 352 | |
retail_complains | Pick 5 clients with 0 priority and write down their last name. | 0 priority refers to priority = 0; last name refers to last | SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5 | 353 | |
retail_complains | Write down the call id of clients whose first name start with alphabet "B". | first name start with alphabet "B" refers to first like 'B%' | SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%' | 354 | |
retail_complains | What is the product complained by Alexander Bronx Lewis? | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis' | 355 | ||
retail_complains | State the first name of male clients who did not receive timely response from the call center. | first name refers to first; male refers to sex = 'Male'; did not receive timely response refers to Timely response? = 'No' | SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male' | 356 | |
retail_complains | Which product received the most complaints from elder clients? | most complaints refers to max(client_id); elder client refers to age > 65 | SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1 | 357 | |
retail_complains | Complaint about Credit Card mostly came from clients of which age group? | about Credit Card refers to Product = 'Credit Card'; teenager refers to 13 < age < = 19; adult refers to 19 < age < = 65; elder refers to age < = 65 | SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' | 358 | |
retail_complains | List down the issues for complaint with server time of below 10 minutes. | server time of below 10 minutes refers to ser_time < '00:10:00' | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10' | 359 | |
retail_complains | Write down the date received of complaints sent via Fax. | sent via Fax refers to Submitted via = 'Fax' | SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' | 360 | |
retail_complains | What is the full name of clients who have issue about balance transfer? | full name refers to first, middle, last; issue about balance transfer refers to Issue = 'Balance transfer' | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer' | 361 | |
retail_complains | What is the email address of clients who submitted their complaints via postal mail? | via postal mail refers to Submitted via = 'Postal mail' | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail' | 362 | |
retail_complains | Calculate the average age of clients whose response is "Closed with relief". | average age = avg(age where Company response to consumer = 'Closed with relief'); response "Closed with relief" refers to Company response to consumer = 'Closed with relief' | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief' | 363 | |
retail_complains | What is the average age of clients whose complaint type is "TT"? | average age = avg(age where type = 'TT') | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT' | 364 | |
retail_complains | Write the complaint ID, call ID, and final phone number of complaints through AVIDAN server from 1/1/2014 to 12/30/2014. | final phone number refers to phonefinal; from 1/1/2014 to 12/30/2014 refers to Date received between '2014-01-01' and '2014-12-30' | SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN' | 365 | |
retail_complains | Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON? | between 1/1/2017 and 4/1/2017 refers to Date received between '2017-01-01' and '2017-04-01'; average server time refers to avg(ser_time) | SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01' | 366 | |
retail_complains | How many times per year does a credit card customer complain about overlimit fees? | credit card customer refers to product = 'Credit card'; about overlimit fees refers to issue = 'Overlimit fee' | SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`) | 367 | |
retail_complains | Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old? | in Middle Atlantic refers to division = 'Middle Atlantic'; female refers to sex = 'Female'; no more than 18 refers to age < 18 | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18 | 368 | |
retail_complains | Give me the full birthdate, email and phone number of the youngest client in Indianapolis . | full birthdate = year, month, day; youngest refers to max(year, month, day); in Indianapolis refers to city = 'Indianapolis' | SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1 | 369 | |
retail_complains | List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order. | 5-star rating refers to Stars = 5; in 2016 refers to Date like '2016%'; most reviews refers to max(count(city)) | SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5 | 370 | |
retail_complains | What is the longest server time when the call is about the issue of arbitration? | longest server time refers to max(ser_time) | SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration' | 371 | |
retail_complains | Give me the social number and state of the client whose phone number is 100-121-8371. | social number refers to social | SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371' | 372 | |
retail_complains | List the full names and phone numbers of clients that were from the Pacific. | full name refers to first, middle, last; the Pacific refers to division = 'Pacific' | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' | 373 | |
retail_complains | What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer. | social number refers to social; longest delay = max(subtract(Date sent to company, Date received)); days of delay = subtract(Date sent to company, Date received); company's response refers to 'Company response to consumer' | SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1 | 374 | |
retail_complains | How many female clients are there older than 30? | female refers to sex = 'Female'; older than 30 refers to age > 30 | SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30 | 375 | |
retail_complains | Please list all first and last names of clients who live in New York city. | New York City refers to city = 'New York City' | SELECT first, last FROM client WHERE city = 'New York City' | 376 | |
retail_complains | What is the oldest age of male clients? | oldest age refers to max(age); male refers to sex = 'Male' | SELECT MAX(age) FROM client WHERE sex = 'Male' | 377 | |
retail_complains | Please calculate the number of clients by each division. | SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division | 378 | ||
retail_complains | What is the percentage of female clients in the Middle Atlantic? | female refers to sex = 'Female'; the Middle Atlantic refers to division = 'Middle Atlantic'; percentage = divide(count(client_id where sex = 'Female' and division = 'Middle Atlantic') , count(client_id where division = 'Middle Atlantic')) * 100% | SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic' | 379 | |
retail_complains | What is the average age of clients in South Atlantic? | in South Atlantic refers to division = 'South Atlantic'; average age refers to avg(age) | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic' | 380 | |
retail_complains | Which city in the Midwest region has the least number of clients? | least number of clients refers to min(count(client_id)) | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1 | 381 | |
retail_complains | How many customers in the Northeast use Microsoft email? | the Northeast refers to Region = 'Northeast'; Microsoft email refers to email like '%@outlook.com' | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com' | 382 | |
retail_complains | Which city in West North Central has the highest number of customers over the age of 60? | in North Central refers to Region = 'North Central'; highest number of customers refers to max(count(client_id)); over the age of 60 refers to age > 60 | SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1 | 383 | |
retail_complains | What is the percentage of complaints about the late fee issue whose priority is 2 in 2017? | percentage = divide(count(Complaint ID where priority = 2) , count(Complaint ID)) * 100%; in 2017 refers to year(Date received) = 2017 | SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017' | 384 | |
retail_complains | Which state has the most cities? | state refers to state_abbrev; most cities refers to max(count(city)) | SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1 | 385 | |
retail_complains | Please give the first name and phone number of the client whose complaint id is CR0922485. | first name refers to first | SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485' | 386 | |
retail_complains | Please list the emails of the clients whose complaint date received is 7/3/2014. | 7/3/2014 refers to Date received = '2014-07-03' | SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03' | 387 | |
retail_complains | In 2012, how many complaints about Credit card product came from clients in Omaha? | in 2012 refers to Date received LIKE'2012%'; in Omaha refers to city = 'Omaha' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card' | 388 | |
retail_complains | From 2012 to 2015, how many complaints were submitted via email from female clients? | from 2012 to 2015 refers to Date received BETWEEN 2012 AND 2015; submitted via email refers to Submitted via = 'Email'; female refers to sex = 'Female' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male' | 389 | |
retail_complains | Please list all clients' phone numbers and complaint IDs which are still in progress. | in progress refers to Company response to consumer = 'In progress' | SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress' | 390 | |
retail_complains | In 2015, how many complaints about Billing disputes were sent by clients in Portland? | in 2015 refers to Date received LIKE'2015%'; about Billing disputes refers to Issue = 'Billing disputes'; Portland refers to city = 'Portland' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes' | 391 | |
retail_complains | In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days? | in 2014 refers to Date received LIKE'2014%'; Houston refers to city = 'Houston'; delay over 5 days refers to subtract(Date sent to company, Date received) > 5; percentage = divide(count(Complaint ID where subtract(Date sent to company , Date received) > 5) , count(Complaint ID)) * 100% | SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014' | 392 | |
retail_complains | In the complains received in 2012, how many of them are submitted through email? | received in 2012 refers to Date received LIKE '2012%'; submitted through email refers to Submitted via = 'Email' | SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email' | 393 | |
retail_complains | Give the client ID of the complaint received on April 16, 2014 and submitted through fax. | April 16, 2014 refers to Date received = '2014-04-16'; submitted through fax refers to Submitted via = 'Fax' | SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16' | 394 | |
retail_complains | List date of the review of the Eagle Capital from Indianapolis, Indiana. | Eagle Capital refers to Product = 'Eagle Capital'; Indianapolis refers to city = 'Indianapolis'; Indiana refers to state_abbrev = 'IN' | SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN' | 395 | |
retail_complains | Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation? | in year 2015 refers to Date received LIKE '2015%'; timely response refers to Timely response?" = 'Yes'; closed with an explanation refers to Company response to consumer = 'Closed with explanation' | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation' | 396 | |
retail_complains | Among the female clients that age between 20 to 40, list the date when their complaints were received. | female refers to sex = 'Female' | SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female' | 397 | |
retail_complains | List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts. | 1 star refers to Stars = 1; on March 14, 2016 refers to Date = '2016-03-14'; Newton refers to city = 'Newton'; Massachusetts refers to state_abbrev = 'MA' | SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1 | 398 | |
retail_complains | In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee? | 5 star refers to Stars = 5; Nashville refers to city = 'Nashville'; Tennessee refers to state_abbrev = 'TN' | SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5 | 399 |
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