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CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | 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' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | How many sales did the store in Remulade make? | 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' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | For the quantities, what percent more did the store in Fremont sell than the store in Portland in 1993? | SELECT CAST(SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) - SUM(CASE WHEN T2.city = 'Portland' THEN qty END) AS REAL) * 100 / SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE STRFTIME('%Y', T1.ord_date) = '1993' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Among all the employees, how many percent more for the publishers than designers? | 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 | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Find and list the full name of employees who were hired between 1990 and 1995. Also, arrange them in the descending order of job level. | SELECT fname, minit, lname FROM employee WHERE STRFTIME('%Y', hire_date) BETWEEN '1990' AND '1995' ORDER BY job_lvl DESC | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Which titles has above average royalty rate? Give those title's name, type and price? | 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 ) | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | In 1994 which title had less order quanty than the average order quantity? Find the title name, type and price. | SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T2.ord_date LIKE '1994%' AND T2.Qty < ( SELECT CAST(SUM(T4.qty) AS REAL) / COUNT(T3.title_id) FROM titles AS T3 INNER JOIN sales AS T4 ON T3.title_id = T4.title_id ) | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | List the title name, type, and price of the titles published by New Moon Books. Arrange the list in ascending order of price. | 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 | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | In the books published by US publishers, which book has the highest royalty? List these books in the descending order of royalty. | 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 | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Find the difference between the average royalty of titles published by US and non US publishers? | SELECT (CAST(SUM(CASE WHEN T2.country = 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T2.country != 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country != 'USA' THEN 1 ELSE 0 END)) 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 | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Calculate the average level difference between the Marketing editors hired by the US and non-US publishers? | 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' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | 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? | 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.' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | 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? | 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.' | bird |
CREATE TABLE book_publishing_company (au_id text, au_lname text, au_fname text, phone text, address text, city text, state text, zip text, contract text, job_id integer, job_desc text, min_lvl integer, max_lvl integer, pub_id text, pub_name text, city text, state text, country text, emp_id text, fname text, minit text, lname text, job_id integer, job_lvl integer, pub_id text, hire_date datetime, pub_id text, logo blob, pr_info text, stor_id text, stor_name text, stor_address text, city text, state text, zip text, discounttype text, stor_id text, lowqty integer, highqty integer, discount real, title_id text, title text, type text, pub_id text, price real, advance real, royalty integer, ytd_sales integer, notes text, pubdate datetime, title_id text, lorange integer, hirange integer, royalty integer, stor_id text, ord_num text, ord_date datetime, qty integer, payterms text, title_id text, au_id text, title_id text, au_ord integer, royaltyper integer) | Name the top five titles that sold more than average and list them in descending order of the number of sales in California stores? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | On which day was the most verbose complaint received? | SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | When did the earliest complaint start on 2017/3/22? | SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which complaint is more urgent, complaint ID CR2400594 or ID CR2405641? | SELECT CASE WHEN SUM(CASE WHEN `Complaint ID` = 'CR2400594' THEN priority END) > SUM(CASE WHEN `Complaint ID` = 'CR2405641' THEN priority END) THEN 'CR2400594' ELSE 'CR2405641' END FROM callcenterlogs | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list the full names of all the male clients born after the year 1990. | SELECT first, middle, last FROM client WHERE year > 1990 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the detailed product of the complaint filed by Diesel Galloway on 2014/7/3? | SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND T2.`Date received` = '2014-07-03' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Was the tag in the complaint filed by Matthew Pierce on 2016/10/28 approved by himself? | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', 'Empty') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | For how long was the complaint filed by Matthew Pierce on 2016/10/28 delayed? | SELECT 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`)) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the full name of the client whose complaint on 2017/3/27 was received by MICHAL? | 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.`Date received` = '2017-03-27' AND T2.server = 'MICHAL' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | For how long did the complaint filed on 2017/3/27 by Rachel Hicks last? | SELECT T2.ser_time FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first = 'Rachel' AND T1.last = 'Hicks' AND T2.`Date received` = '2017-03-27' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list the full names of all the clients whose complaints are still in progress. | 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.`Company response to consumer` = 'In progress' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the clients who did receive a timely response for their complaint, how many of them are from New York? | SELECT COUNT(T1.city) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.city = 'New York City' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints on credit cards in the year 2016 were filed by male clients? | SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) = '2016' AND T1.sex = 'Male' AND T2.Product = 'Credit card' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list the full names of all the male clients in the Pacific division. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the average number of complaints on credit cards filed by clients from New York in the 3 consecutive years starting from 2015? | SELECT CAST(COUNT(T2.`Complaint ID`) AS REAL) / 3 AS average FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2015' AND '2017' AND T1.city = 'New York City' AND T2.Product = 'Credit card' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the percentage of the increase of complaints filed by the clients from New York from the year 2016 to the year 2017? | SELECT 100.0 * (SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2017' THEN 1 ELSE 0 END) - SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END)) / SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What was the serve time for the complaint call from client "C00007127" on 2017/2/22? | SELECT T1.ser_time FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Client_ID = 'C00007127' AND T1.`Date received` = '2017-02-22' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which state does the owner of "[email protected]" live in? Give the full name of the state. | SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = '[email protected]' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which detailed product did Mr Lennox Oliver Drake complain about? | SELECT DISTINCT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lennox' AND T1.middle = 'Oliver' AND T1.last = 'Drake' AND T1.sex = 'Male' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What was the detailed issue did Mr Gunner Omer Fuller complain about? | SELECT T2.`Sub-issue` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Gunner' AND T1.middle = 'Omer' AND T1.last = 'Fuller' AND T1.sex = 'Male' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Did Ms. Lyric Emely Taylor provide the consent for result of the complaint call on 2016/5/20? | SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', '') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lyric' AND T1.middle = 'Emely' AND T1.last = 'Taylor' AND T1.sex = 'Female' AND T2.`Date received` = '2016-05-20' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many days delay for the complaint call from Mr. Brantley Julian Stanley on 2012/5/18? | SELECT 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`)) AS days FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-05-18' AND T1.sex = 'Male' AND T1.first = 'Brantley' AND T1.middle = 'Julian' AND T1.last = 'Stanley' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which district did the review on 2018/9/11 come from? Give the name of the city. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What was the review context from Jacksonville on 2017/7/22? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which product received a review from Indianapolis on 2016/10/7? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many stars did "Eagle Capital" received from Little Rock on 2013/4/4? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | For the client who made the complaint call "CR0217298", what was his/her birthday？ | SELECT T1.month, T1.day FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0217298' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What was the phone of number of the client who made the complaint call "CR0100432" ？ | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0100432' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | For all the complaint callers on 2017/3/27, what percentage of the clients are females? | 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 events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the percentage of the complaint calls from Mr Mason Javen Lopez has got the consent provided by the customer? | SELECT CAST(SUM(CASE WHEN T2.`Consumer consent provided?` = 'Consent provided' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Consumer consent provided?`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.first = 'Mason' AND T1.middle = 'Javen' AND T1.last = 'Lopez' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many priority urgent complaints were received in march of 2017? List the complaint ID of these complaints. | SELECT COUNT(`Complaint ID`) FROM callcenterlogs WHERE `Date received` LIKE '2017-01%' AND priority = ( SELECT MAX(priority) FROM callcenterlogs ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list the full name, date of birth, and email id of the elderly clients in descending order of age. | SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which product got the most five stars, and how many? | SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List all the states in the South region. | SELECT state FROM state WHERE Region = 'South' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the email id of clients whose calls were hung? | SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.outcome = 'HANG' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the average age of clients from the Midwest region. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List the full name and phone number of clients who submitted the complaint via fax. | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Fax' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Find and list the names of districts which has below-average stars for 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 ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In the calls from the mountain division, how many are from teenage clients? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the number of complaints related to Credit cards came from female clients? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the clients born between 1980 and 2000, list the name of male clients who complained through referral. | SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year BETWEEN 1980 AND 2000 AND T1.sex = 'Male' AND T2.`Submitted via` = 'Referral' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the medium through which most complaints are registered in Florida? | SELECT T3.`Submitted via` 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.state = 'FL' GROUP BY T1.`Complaint ID` ORDER BY COUNT(T1.`Complaint ID`) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the average number of complaints received from New Bedford each year which are closed with explanation. | SELECT STRFTIME('%Y', T3.`Date received`) , CAST(SUM(CASE WHEN T3.`Company response to consumer` = 'Closed with explanation' THEN 1 ELSE 0 END) AS REAL) / COUNT(T3.`Complaint ID`) AS average 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.city = 'New Bedford' GROUP BY strftime('%Y', T3.`Date received`) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What percentage of consumers from Houston disputed complaints? | SELECT CAST(SUM(CASE WHEN T2.`Consumer disputed?` = 'Yes' AND T1.city = 'Houston' 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Find the number of service members who complained in 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Among the calls from California, what percentage are priority 1? | SELECT CAST(SUM(CASE WHEN T1.priority = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.priority) 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 T4.State = 'California' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Calculate the difference in the average age of elderly and middle-aged clients in the Northeast region. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List by their ID number the 3 longest complaints. | SELECT `Complaint ID` FROM callcenterlogs ORDER BY ser_time DESC LIMIT 3 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients have an email account other than gmail.com? | SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Identify by their ID all clients who did not give their consent permission. | SELECT Client_ID FROM events WHERE `Consumer consent provided?` = 'N/A' OR 'Consumer consent provided?' IS NULL OR 'Consumer consent provided?' = '' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List by their ID the complaints received by the company on 25/09/2014 that took the longest. | SELECT `Complaint ID` FROM events WHERE strftime('%J', `Date sent to company`) - strftime('%J', `Date received`) = ( SELECT MAX(strftime('%J', `Date sent to company`) - strftime('%J', `Date received`)) FROM events WHERE `Date sent to company` = '2014-09-25' ) AND `Date sent to company` = '2014-09-25' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List priority 2 complaints by date received. | SELECT DISTINCT `Complaint ID` FROM callcenterlogs WHERE priority = 2 ORDER BY `Date received` DESC | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints are not in process with an agent? | SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many Credit Card complaints did Sharon handle? | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Product = 'Credit card' AND T1.server = 'SHARON' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In which region have the most 1-star reviews been done? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | In what years were the clients who demanded more problems with Certificate of deposit born? | SELECT T1.year FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Sub-product` = '(CD) Certificate of deposit' GROUP BY T1.year ORDER BY COUNT(T1.year) DESC LIMIT 1 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many cases of billing dispute issues occurred in the Mountain division? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many male clients are from the state of Massachusetts? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Lists the last name of all clients who made a PS-type complaint and were served by TOVA. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients under the age of 35 gave Eagle National Mortgage 1 star? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many male clients born in the year 1977 were given priority 0 in their complaints? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List by name all customers who provided consent for the tag Older American. | 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?` != '' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the name of the state in which there have been the largest number of complaints with 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints made by women and served after 3 pm received a timely response from the company? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints were served in 5 minutes or less by DORIT and responded to the customer with an explanation, were made by phone? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients with the last name Alvarado are from Maryland? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many reviews by people between 30 and 50 years include the word '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%' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the full address of the customers who, having received a timely response from the company, have dispute about that response? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints from female clients born in the year 2000 were not sent through the 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | List all the complaints narratives made by the customer named Brenda and last name Mayer. | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many complaints from customers with a gmail.com email were received by the company in February 2017? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the average number of stars given by Oregon clients in their reviews? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What percentage of clients who sent their complaints by postal mail are age 50 and older? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the average age of Norwalk clients? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients who live in Kansas City provided a 1-star review? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Which state has the highest number of clients who gave a 5-star review? | 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 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How did Kyran Muller submit his complaint? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What are the products that people who were born after 2005 complain about? | SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005 | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How long was Kendall Allen's complaint about her 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What was the issue that the client with the longest server time faced? | 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 ) | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | How many clients who live in New York City submitted their complaints 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | What is the percentage of male clients complaining about their credit cards? | 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' | bird |
CREATE TABLE retail_complains (StateCode text, State text, Region text, Date received date, Complaint ID text, rand client text, phonefinal text, vru+line text, call_id integer, priority integer, type text, outcome text, server text, ser_start text, ser_exit text, ser_time text, client_id text, sex text, day integer, month integer, year integer, age integer, social text, first text, middle text, last text, phone text, email text, address_1 text, address_2 text, city text, state text, zipcode integer, district_id integer, district_id integer, city text, state_abbrev text, division text, Date received date, Product text, Sub-product text, Issue text, Sub-issue text, Consumer complaint narrative text, Tags text, Consumer consent provided? text, Submitted via text, Date sent to company text, Company response to consumer text, Timely response? text, Consumer disputed? text, Complaint ID text, Client_ID text, Date date, Stars integer, Reviews text, Product text, district_id integer) | Please list any two clients with their full names who have been tagged as "Older American" by the company without seeking their permission. | 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 | bird |
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