db_id stringclasses 68 values | question stringlengths 24 325 | evidence stringlengths 0 580 | SQL stringlengths 23 728 |
|---|---|---|---|
book_publishing_company | How many publishers are in the USA? | SELECT COUNT(pub_id) FROM publishers WHERE country = 'USA' | |
book_publishing_company | Please list the first names of the employees who work as Managing Editor. | Managing Editor is a job description which refers to job_desc | SELECT T1.fname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Managing Editor' |
book_publishing_company | What is the highest level of job to get to for the employee who got hired the earliest? | highest job level refers to MAX(job_lvl); hired the earliest refers to MIN(hire_date) | SELECT T2.max_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.hire_date LIMIT 1 |
book_publishing_company | In which city is the store with the highest total sales quantity located? | qty is abbreviation for quantity; highest sales quantity refers to MAX(qty) | SELECT T2.city FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id GROUP BY T2.city ORDER BY SUM(T1.qty) DESC LIMIT 1 |
book_publishing_company | What is the price of the book that sells the best? | qty is abbreviation for quantity; sells the best mean with the most sales quantity; MAX(qty) | SELECT T2.price FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id ORDER BY T1.qty DESC LIMIT 1 |
book_publishing_company | Please list the stores that ordered the book "Life Without Fear". | store name refers to stor_name | SELECT T2.stor_name FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T3.title = 'Life Without Fear' |
book_publishing_company | Among the stores that have ordered the book "Life Without Fear", how many of them are located in Massachusetts? | Massachusetts is a state | SELECT COUNT(T1.stor_id) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts' |
book_publishing_company | In which country is the publisher of the book "Life Without Fear" located? | Life Without Fear is book title | SELECT T2.country FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Life Without Fear' |
book_publishing_company | What is the publisher that has published the most expensive book? | most expensive book refers to MAX(price) | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T1.price DESC LIMIT 1 |
book_publishing_company | Among the publishers in the USA, how many of them have published books that are over $15? | are over $15 refers to price>15 | SELECT COUNT(DISTINCT T1.pub_id) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA' AND T1.price > 15 |
book_publishing_company | Please give more detailed information about the first three books that sell the best. | qty is abbreviation for quantity; sells the best mean with the most sales quantity; MAX(qty) | SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id ORDER BY T2.qty DESC LIMIT 3 |
book_publishing_company | What is the average quantity of each order for the book "Life Without Fear"? | qty is abbreviation for quantity; average quantity order = AVG(qty) | SELECT CAST(SUM(T2.qty) AS REAL) / COUNT(T1.title_id) FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T1.title = 'Life Without Fear' |
book_publishing_company | What is the average level employees working as Managing Editor are at? How many levels are there between the average level and the highest level? | Managing Editor is a job description which refers to job_desc; job level refers to job_lvl; highest level job refers to max_lvl; levels between the average level and the highest level = SUBTRACT(max_lvl; AVG(job_lvl)) | SELECT AVG(T2.job_lvl), T1.max_lvl - AVG(T2.job_lvl) FROM jobs AS T1 INNER JOIN employee AS T2 ON T1.job_id = T2.job_id WHERE T1.job_desc = 'Managing Editor' GROUP BY T2.job_id, T1.max_lvl |
book_publishing_company | Which one is the cheapest business book? | business books refers to type = 'business'; cheapest book refers to MIN(price) | SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1 |
book_publishing_company | Which type of book had the most pre-paid amount? | most pre-paid amount refers to MAX(advance) | SELECT type FROM titles ORDER BY advance DESC LIMIT 1 |
book_publishing_company | Which job level is O'Rourke at? | job level refers to job_lvl | SELECT job_lvl FROM employee WHERE lname = 'O''Rourke' |
book_publishing_company | Show me the employ id of the highest employee who doesn't have a middle name. | highest employee refers to employee with the highest job level; MAX(job_lvl) | SELECT emp_id FROM employee WHERE minit = '' ORDER BY job_lvl DESC LIMIT 1 |
book_publishing_company | Is the author of "Sushi, Anyone?" on the contract? | contract = 1 means on contract; contract = 0 means not on contract | SELECT T1.contract FROM authors AS T1 INNER JOIN titleauthor AS T2 ON T1.au_id = T2.au_id INNER JOIN titles AS T3 ON T2.title_id = T3.title_id WHERE T3.title = 'Sushi, Anyone?' |
book_publishing_company | Which publisher had the highest job level? Give his/her full name. | highest job level refers to MAX(job_lvl) | SELECT T1.fname, T1.minit, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.job_lvl DESC LIMIT 1 |
book_publishing_company | What's Pedro S Afonso's job title? | job title means job description which refers to job_desc | SELECT T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Pedro' AND T1.minit = 'S' AND T1.lname = 'Afonso' |
book_publishing_company | How many levels are there left for Diego W Roel to reach if he/she could go to the max level for his/her position? | max level for his position refers to max_lvl; job level refers to job_lvl; level left to reach the max = SUBTRACT(max_lvl, job_lvl) | SELECT T2.max_lvl - T1.job_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Diego' AND T1.minit = 'W' AND T1.lname = 'Roel' |
book_publishing_company | What's the publisher of the book "Silicon Valley Gastronomic Treats"? Give the publisher's name. | publisher name refers to pub_name; Silicon Valley Gastronomic Treats is the title of a book | SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Silicon Valley Gastronomic Treats' |
book_publishing_company | Which city did Victoria P Ashworth work in? | SELECT T2.city FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.fname = 'Victoria' AND T1.minit = 'P' AND T1.lname = 'Ashworth' | |
book_publishing_company | How many sales did the store in Remulade make? | Remulade is a city; sales in the store refers to ord_num | SELECT COUNT(T1.ord_num) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T2.city = 'Remulade' |
book_publishing_company | Among all the employees, how many percent more for the publishers than designers? | publisher and designer are job descriptions which refers to job_desc; percentage more = 100*(SUBTRACT(SUM(CASE WHERE job_desc = 'publisher), SUM(CASE WHERE job_desc = 'designer')) | SELECT CAST(SUM(CASE WHEN T2.job_desc = 'publisher' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.job_desc = 'designer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.job_id) FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id |
book_publishing_company | Which titles has above average royalty rate? Give those title's name, type and price? | average royalty rate = DIVIDE(SUM(royalty), COUNT(title_id)) | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.royalty > ( SELECT CAST(SUM(royalty) AS REAL) / COUNT(title_id) FROM roysched ) |
book_publishing_company | List the title name, type, and price of the titles published by New Moon Books. Arrange the list in ascending order of price. | Eric the Read Books is a publisher which refers to pub_name; | SELECT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books' ORDER BY T1.price |
book_publishing_company | In the books published by US publishers, which book has the highest royalty? List these books in the descending order of royalty. | US publisher refers publisher in the US where country = 'USA'; | SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id WHERE T2.country = 'USA' ORDER BY T1.royalty DESC |
book_publishing_company | Calculate the average level difference between the Marketing editors hired by the US and non-US publishers? | Marketing manager is a job description which refers to job_desc; US publisher refers publisher in the US where country = 'USA'; non-US publishers refers publisher not in the US where country! = 'USA'; job level refers to job_lvl; average level = AVG(job_lvl) | SELECT (CAST(SUM(CASE WHEN T1.country = 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.country != 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country != 'USA' THEN 1 ELSE 0 END)) FROM publishers AS T1 INNER JOIN employee AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T2.job_id = T3.job_id WHERE T3.job_desc = 'Managing Editor' |
book_publishing_company | Which title is about helpful hints on how to use your electronic resources, which publisher published it and what is the price of this book? | publisher refers to pub_name; about the title refers to notes | SELECT T1.title, T2.pub_name, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Helpful hints on how to use your electronic resources to the best advantage.' |
book_publishing_company | Of the titles, which title is about the Carefully researched study of the effects of strong emotions on the body, which state-based publisher published this book, and what is the year-to-date sale? | year to date sales refers to ytd_sales; about the title refers to notes | SELECT T1.title, T2.pub_name, T1.ytd_sales FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Carefully researched study of the effects of strong emotions on the body. Metabolic charts included.' |
book_publishing_company | Name the top five titles that sold more than average and list them in descending order of the number of sales in California stores? | qty is abbreviation for quantity; sold more than average refers to qty > AVG(qty); california refers to state = 'CA" | SELECT T1.title FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T2.qty > ( SELECT CAST(SUM(qty) AS REAL) / COUNT(title_id) FROM sales ) AND T3.state = 'CA' ORDER BY T2.qty DESC LIMIT 5 |
retail_complains | Please list the full names of all the male clients born after the year 1990. | full names = first, middle, last; male refers to sex = 'Male'; year > 1990; | SELECT first, middle, last FROM client WHERE year > 1990 |
retail_complains | How many complaints have the client Diesel Galloway filed? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' | |
retail_complains | Among all the clients from the New York city, how many of them have filed a complaint on the issue of Deposits and withdrawals? | SELECT COUNT(T2.Issue) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Deposits and withdrawals' AND T1.city = 'New York City' | |
retail_complains | Which division is Diesel Galloway in? | SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' | |
retail_complains | Please list the full names of all the male clients in the Pacific division. | full names = first, middle, last; male refers to sex = 'Male'; | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' AND T1.sex = 'Male' |
retail_complains | Which state does the owner of "wyatt.collins@gmail.com" live in? Give the full name of the state. | full name of the state refers to state_name; | SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = 'wyatt.collins@gmail.com' |
retail_complains | Which district did the review on 2018/9/11 come from? Give the name of the city. | on 2018/9/11 refers to Date = '2017-07-22'; | SELECT T2.district_id, T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Date = '2018-09-11' |
retail_complains | What was the review context from Jacksonville on 2017/7/22? | Jacksonville refers to city = 'Jacksonville'; on 2017/7/22 refers to Date = '2017-07-22'; | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22' |
retail_complains | Which product received a review from Indianapolis on 2016/10/7? | Indianapolis refers to state = 'Indianapolis'; on 2016/10/7 refers to Date = '2013-04-04'; | SELECT T1.Product FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' AND T1.Date = '2016-10-07' |
retail_complains | How many stars did "Eagle Capital" received from Little Rock on 2013/4/4? | Eagle Capital refers to Product = 'Eagle Capital'; Little Rock is a city; on 2013/4/4 refers to Date = '2013-04-04'; | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T2.city = 'Little Rock' AND T1.Date = '2013-04-04' |
retail_complains | Please list the full name, date of birth, and email id of the elderly clients in descending order of age. | full name = first, middle, last; date of birth = year, month, day; elderly clients refers to age > 65; | SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC |
retail_complains | List all the states in the South region. | SELECT state FROM state WHERE Region = 'South' | |
retail_complains | Calculate the average age of clients from the Midwest region. | average age = AVG(age); | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T3.Region) AS average 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' |
retail_complains | Find and list the names of districts which has below-average stars for Eagle Capital. | below average = AVG(stars) < Stars; Eagle Capital refers to Product = 'Eagle Capital'; | SELECT T2.division FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T1.Stars > ( SELECT AVG(Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id ) |
retail_complains | In the calls from the mountain division, how many are from teenage clients? | teenage refers to age BETWEEN 12 AND 20; | SELECT COUNT(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.age BETWEEN 12 AND 20 AND T2.division = 'Mountain' |
retail_complains | What is the number of complaints related to Credit cards came from female clients? | Credit cards refers to Product = 'Credit card'; female refers to sex = 'female'; | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T2.Product = 'Credit card' |
retail_complains | Find the number of service members who complained in Syracuse. | service members refers to client.client_id; Syracuse refers to city = 'Syracuse'; | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse' |
retail_complains | Calculate the difference in the average age of elderly and middle-aged clients in the Northeast region. | difference in the average = SUBTRACT(AVG(age BETWEEN 35 AND 55), AVG( age > 65)); elderly refers to age > 65; middle-aged refers to age BETWEEN 35 AND 55; | SELECT (CAST(SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.age > 65 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END)) AS difference 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' |
retail_complains | How many clients have an email account other than gmail.com? | email account other than gmail.com refers to email not like '%@gmail.com'; | SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com' |
retail_complains | How many complaints are not in process with an agent? | not in process with an agent refers to outcome ! = 'AGENT'; | SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT' |
retail_complains | In which region have the most 1-star reviews been done? | most 1-star reviews refers to MAX(COUNT(stars = 1)); | SELECT T3.Region FROM reviews 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.Stars = 1 GROUP BY T3.Region ORDER BY COUNT(T3.Region) DESC LIMIT 1 |
retail_complains | How many cases of billing dispute issues occurred in the Mountain division? | billing dispute refers to issue = 'Billing disputes'; | SELECT COUNT(T1.Issue) FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.Issue = 'Billing disputes' AND T3.division = 'Mountain' |
retail_complains | How many male clients are from the state of Massachusetts? | male refers to sex = 'Male'; | SELECT COUNT(T3.sex) 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 T1.state = 'Massachusetts' AND T3.sex = 'Male' |
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 |
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' |
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%' |
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' |
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' |
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 |
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 |
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' | |
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 |
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' |
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 |
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' |
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 |
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 |
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' | |
retail_complains | What is the name of the state that the client with the email "skylar.ramirez@gmail.com" 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 = 'skylar.ramirez@gmail.com' | |
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 |
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' |
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 |
retail_complains | What is the full name of client whose email address is emily.garcia43@outlook.com? | full name refers to first middle last | SELECT first, middle, last FROM client WHERE email = 'emily.garcia43@outlook.com' |
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' | |
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 |
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' |
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' |
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 |
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 |
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' |
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' |
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 |
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' |
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' |
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 | |
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' |
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' |
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 |
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' |
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 |
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 |
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' |
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 |
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 |
retail_complains | What are the issues of the complains of male clients and products from age 25 and below? | male refers to sex = 'Male'; age 25 and below refers to age < 25 | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25 |
retail_complains | Among the reviews from midwest region, what are the products that received 1 star? | 1 star refers to Stars = 1 | SELECT DISTINCT T3.Product 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.Region = 'Midwest' AND T3.Stars = 1 |
retail_complains | What is the division of the review of 5 stars received on December 17, 2017 for the product Eagle National Mortgage? | 5 stars refers to Stars = 5; on December 17 2017 refers to Date = '2017-12-17' | SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage' |
retail_complains | In complaints about the credit card product, list the phone number of the oldest client. | oldest refers to max(age) | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1 |
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