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Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: PS-type complaint refers to type = 'PS'; served by refers to server; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: age < 35; Eagle National Mortgage refers to Product = 'Eagle National Mortgage'; Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: male refers to sex = 'Male'; Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: name refers to first; provided consent refers to "Consumer consent provided?" not in ('N/A', null, 'empty'); Question: 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?` != ''

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: largest number of complaints refers to MAX(COUNT("Complaint ID") WHERE priority = 0); Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: women refers to sex = 'Female'; served after 3 pm refers to ser_time BETWEEN '15:00:01' AND '23:59:59'; received a timely response refers to "Timely response?" = 'Yes'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: served in 5 minutes or less refers to ser_time < '00:05:00'; DORIT refers to server = 'DORIT'; responded with an explanation refers to "Company response to consumer" = 'Closed with explanation'; made by refers to "Submitted via"; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: The abbreviation of Maryland is 'MD'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: between 30 and 50 years refers to age BETWEEN 30 AND 50; include the word great refers to Review like '%Great%'; Question: 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%'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full address = address_1, address_2; received a timely response refers to Timely response? = 'Yes'; have dispute refers to "Consumer disputed?" = 'Yes'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: female refers to sex = 'Female'; sent through refers to "Submitted via"; not sent through web refers to "Submitted via" ! = 'Web'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: complaints narratives refers to "Consumer complaint narrative"; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: gmail.com email refers to email like '%gmail.com'; in February 2017 refers to "Date received" BETWEEN '2017-01-02' AND '2017-02-28'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average = DIVIDE(SUM(State = 'Oregon'), COUNT(district_id)); Oregon refers to state = 'Oregon'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage = MULTIPLY(DIVIDE(SUM("Submitted via" = 'Postal mail'), COUNT(client_id)), 1.0); sent their complaints by refers to "Submitted via"; age > 50; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average age = AVG(age); Norwalk refers to city = 'Norwalk'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 1-star review refers stars = 1; Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: highest number of clients refers to MAX(COUNT(client_id)); 5-star review refers to stars = 5; Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: how it was submitted refers to "Submitted via"; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: year > 2005; Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: how long refers to ser_time; credit card refers to Product = 'Credit Card'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: longest server time refers to MAX(ser_time); Question: 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 )

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: submitted complaints via fax refers to "Submitted via" = 'Fax'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage = MULTIPLY(DIVIDE(SUM(sex = 'Male'), COUNT(client_id)), 1.0); male refers to sex = 'Male'; credit cards refers to Product = 'Credit card'; Question: 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'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full names = first, middle, last; without seeking their permission refers to "Consumer consent provided?" in (null, 'N/A' or 'empty'); Question: 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

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: birth date refers to year, month, day; youngest client refers to max(year, month, day) Question: What is the birth date of the youngest client?

SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: no dispute refers to Consumer disputed? = 'No'; non-timely response refers to Timely response? = 'No' Question: How many times does the consumer have no dispute over a non-timely response from the company?

SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: longer than 15 minutes refers to ser_time > '00:15:00' Question: How many of the complaints are longer than 15 minutes?

SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: most common refers to max(count(issue)); highest priority refers to priority = 2 Question: What is the most common issue for the highest priority complaints?

SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first, last Question: List the full names of all clients who live in the Pacific division.

SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: social number refers to social; most complaints refers to max(count(event.Client_ID)) Question: What is the social number of the person who made the most complaints?

SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: most refers to max(count(state_abbrev)); 1 star review refers to Stars = 1 Question: Which is the city where most of the 1 star reviews come from?

SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: address refers to address_1, address_2; via postal mail refers to Submitted via = 'Postal mail'; March 14 2012 refers to Date received = '2012-03-14' Question: What is the address of the client who made a complaint via postal mail on March 14, 2012?

SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: female refers to sex = 'Female' Question: Among the female clients, how many of them have a complaint with a priority of 1?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: phone complaint refers to Submitted via = 'Phone'; late response refers to Timely response? = 'No' Question: List all the server of the phone complaints with a late response from the company.

SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: List all the issues of the complaints made by Kaitlyn Eliza Elliott.

SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: What is the name of the state that the client with the email "skylar.ramirez@gmail.com" lives in?

SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = 'skylar.ramirez@gmail.com'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: region refers to division; second most refers to second max(client_id) Question: Which region has the second most clients?

SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: owner refers to first, middle, last; on 9/11/2013 refers to Date received = '2013-09-11' Question: Who is the owner of the final phone number for the complaints on server "MORIAH" on 9/11/2013?

SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: teenager refers to 13 < age < = 19; adult refers to 19 < age < = 65; elder refers to age < = 65; highest average time per complaint = max(divide(sum(ser_time), count(ser_time))) Question: Compute the average time in minute for each age group

SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client`

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: elder refers to age < = 65; percentage refers to divide(sum(age < = 65) , count(client_id)) * 100% Question: What percentage of complaints are from the elderly?

SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: male refers to sex = 'Male'; Indianapolis City refers to city = 'Indianapolis'; percentage = divide(count(client_id where sex = 'Male' and city = 'Indianapolis') , count(client_id where city = 'Indianapolis')) * 100% Question: Calculate the percentage of male clients from Indianapolis City.

SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: teenager refers to 13 < age < = 19; Google account refers to email like '%@gmail.com'; Microsoft account refers to email like '%@outlook.com' Question: Among the teenager clients who use Google account and Microsoft account, which group of client is more than the other?

SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first middle last Question: What is the full name of client whose email address is emily.garcia43@outlook.com?

SELECT first, middle, last FROM client WHERE email = 'emily.garcia43@outlook.com'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: first name refers to first; highest priority refers to priority = 2 Question: What is the first name of clients who have the highest priority?

SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs )

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: List down the email of client whose complaint is type "PS".

SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: elder refers to age < = 65; last name refers to last Question: Among the elderlies, state the last name of whose complaint is handled in server YIFAT?

SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: New York City refers to city = 'New York City' Question: How many clients who live in New York City have the complaint outcome as "AGENT"?

SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first, middle, last; disputed the response refers to Consumer disputed? = 'Yes' Question: List down the full name of clients who have disputed the response from company.

SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in 1931 refers to year = 1931 Question: What are the complaint id of client who were born in 1931?

SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Google account refers to email like '%@gmail.com'; percentage = divide(count(Complaint ID where email like '%@gmail.com') , count(Complaint ID)) * 100% Question: Calculate the percentage of complaints made by Google account client in server ZOHARI.

SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first, middle, last; server time of 20 minutes and above refers to ser_time > '00:20:00' Question: State the full name of clients with server time of 20 minutes and above.

SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 0 priority refers to priority = 0; last name refers to last Question: Pick 5 clients with 0 priority and write down their last name.

SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: first name start with alphabet "B" refers to first like 'B%' Question: Write down the call id of clients whose first name start with alphabet "B".

SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: What is the product complained by Alexander Bronx Lewis?

SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: first name refers to first; male refers to sex = 'Male'; did not receive timely response refers to Timely response? = 'No' Question: State the first name of male clients who did not receive timely response from the call center.

SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: most complaints refers to max(client_id); elder client refers to age > 65 Question: Which product received the most complaints from elder clients?

SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: about Credit Card refers to Product = 'Credit Card'; teenager refers to 13 < age < = 19; adult refers to 19 < age < = 65; elder refers to age < = 65 Question: Complaint about Credit Card mostly came from clients of which age group?

SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: server time of below 10 minutes refers to ser_time < '00:10:00' Question: List down the issues for complaint with server time of below 10 minutes.

SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: sent via Fax refers to Submitted via = 'Fax' Question: Write down the date received of complaints sent via Fax.

SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first, middle, last; issue about balance transfer refers to Issue = 'Balance transfer' Question: What is the full name of clients who have issue about balance transfer?

SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: via postal mail refers to Submitted via = 'Postal mail' Question: What is the email address of clients who submitted their complaints via postal mail?

SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average age = avg(age where Company response to consumer = 'Closed with relief'); response "Closed with relief" refers to Company response to consumer = 'Closed with relief' Question: Calculate the average age of clients whose response is "Closed with relief".

SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: average age = avg(age where type = 'TT') Question: What is the average age of clients whose complaint type is "TT"?

SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: final phone number refers to phonefinal; from 1/1/2014 to 12/30/2014 refers to Date received between '2014-01-01' and '2014-12-30' Question: Write the complaint ID, call ID, and final phone number of complaints through AVIDAN server from 1/1/2014 to 12/30/2014.

SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: between 1/1/2017 and 4/1/2017 refers to Date received between '2017-01-01' and '2017-04-01'; average server time refers to avg(ser_time) Question: Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON?

SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: credit card customer refers to product = 'Credit card'; about overlimit fees refers to issue = 'Overlimit fee' Question: How many times per year does a credit card customer complain about overlimit fees?

SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`)

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in Middle Atlantic refers to division = 'Middle Atlantic'; female refers to sex = 'Female'; no more than 18 refers to age < 18 Question: Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old?

SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full birthdate = year, month, day; youngest refers to max(year, month, day); in Indianapolis refers to city = 'Indianapolis' Question: Give me the full birthdate, email and phone number of the youngest client in Indianapolis .

SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 5-star rating refers to Stars = 5; in 2016 refers to Date like '2016%'; most reviews refers to max(count(city)) Question: List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order.

SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: longest server time refers to max(ser_time) Question: What is the longest server time when the call is about the issue of arbitration?

SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: social number refers to social Question: Give me the social number and state of the client whose phone number is 100-121-8371.

SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: full name refers to first, middle, last; the Pacific refers to division = 'Pacific' Question: List the full names and phone numbers of clients that were from the Pacific.

SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: social number refers to social; longest delay = max(subtract(Date sent to company, Date received)); days of delay = subtract(Date sent to company, Date received); company's response refers to 'Company response to consumer' Question: What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer.

SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: female refers to sex = 'Female'; older than 30 refers to age > 30 Question: How many female clients are there older than 30?

SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: New York City refers to city = 'New York City' Question: Please list all first and last names of clients who live in New York city.

SELECT first, last FROM client WHERE city = 'New York City'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: oldest age refers to max(age); male refers to sex = 'Male' Question: What is the oldest age of male clients?

SELECT MAX(age) FROM client WHERE sex = 'Male'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Question: Please calculate the number of clients by each division.

SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: female refers to sex = 'Female'; the Middle Atlantic refers to division = 'Middle Atlantic'; percentage = divide(count(client_id where sex = 'Female' and division = 'Middle Atlantic') , count(client_id where division = 'Middle Atlantic')) * 100% Question: What is the percentage of female clients in the Middle Atlantic?

SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in South Atlantic refers to division = 'South Atlantic'; average age refers to avg(age) Question: What is the average age of clients in South Atlantic?

SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: least number of clients refers to min(count(client_id)) Question: Which city in the Midwest region has the least number of clients?

SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: the Northeast refers to Region = 'Northeast'; Microsoft email refers to email like '%@outlook.com' Question: How many customers in the Northeast use Microsoft email?

SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in North Central refers to Region = 'North Central'; highest number of customers refers to max(count(client_id)); over the age of 60 refers to age > 60 Question: Which city in West North Central has the highest number of customers over the age of 60?

SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: percentage = divide(count(Complaint ID where priority = 2) , count(Complaint ID)) * 100%; in 2017 refers to year(Date received) = 2017 Question: What is the percentage of complaints about the late fee issue whose priority is 2 in 2017?

SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: state refers to state_abbrev; most cities refers to max(count(city)) Question: Which state has the most cities?

SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: first name refers to first Question: Please give the first name and phone number of the client whose complaint id is CR0922485.

SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 7/3/2014 refers to Date received = '2014-07-03' Question: Please list the emails of the clients whose complaint date received is 7/3/2014.

SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in 2012 refers to Date received LIKE'2012%'; in Omaha refers to city = 'Omaha' Question: In 2012, how many complaints about Credit card product came from clients in Omaha?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: from 2012 to 2015 refers to Date received BETWEEN 2012 AND 2015; submitted via email refers to Submitted via = 'Email'; female refers to sex = 'Female' Question: From 2012 to 2015, how many complaints were submitted via email from female clients?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in progress refers to Company response to consumer = 'In progress' Question: Please list all clients' phone numbers and complaint IDs which are still in progress.

SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in 2015 refers to Date received LIKE'2015%'; about Billing disputes refers to Issue = 'Billing disputes'; Portland refers to city = 'Portland' Question: In 2015, how many complaints about Billing disputes were sent by clients in Portland?

SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in 2014 refers to Date received LIKE'2014%'; Houston refers to city = 'Houston'; delay over 5 days refers to subtract(Date sent to company, Date received) > 5; percentage = divide(count(Complaint ID where subtract(Date sent to company , Date received) > 5) , count(Complaint ID)) * 100% Question: In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days?

SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: received in 2012 refers to Date received LIKE '2012%'; submitted through email refers to Submitted via = 'Email' Question: In the complains received in 2012, how many of them are submitted through email?

SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: April 16, 2014 refers to Date received = '2014-04-16'; submitted through fax refers to Submitted via = 'Fax' Question: Give the client ID of the complaint received on April 16, 2014 and submitted through fax.

SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: Eagle Capital refers to Product = 'Eagle Capital'; Indianapolis refers to city = 'Indianapolis'; Indiana refers to state_abbrev = 'IN' Question: List date of the review of the Eagle Capital from Indianapolis, Indiana.

SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: in year 2015 refers to Date received LIKE '2015%'; timely response refers to Timely response?" = 'Yes'; closed with an explanation refers to Company response to consumer = 'Closed with explanation' Question: Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation?

SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: female refers to sex = 'Female' Question: Among the female clients that age between 20 to 40, list the date when their complaints were received.

SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female'

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 1 star refers to Stars = 1; on March 14, 2016 refers to Date = '2016-03-14'; Newton refers to city = 'Newton'; Massachusetts refers to state_abbrev = 'MA' Question: List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts.

SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains

Given the following database schema and relevant knowledge, use SQL to answer the question. Schema: Table callcenterlogs, columns = [Date received,Complaint ID,rand client,phonefinal,vru+line,call_id,priority,type,outcome,server,ser_start,ser_exit,ser_time] Table client, columns = [client_id,sex,day,month,year,age,social,first,middle,last,phone,email,address_1,address_2,city,state,zipcode,district_id] Table district, columns = [district_id,city,state_abbrev,division] Table events, columns = [Date received,Product,Sub-product,Issue,Sub-issue,Consumer complaint narrative,Tags,Consumer consent provided?,Submitted via,Date sent to company,Company response to consumer,Timely response?,Consumer disputed?,Complaint ID,Client_ID] Table reviews, columns = [*,Date,Stars,Reviews,Product,district_id] Table state, columns = [StateCode,State,Region] Foreign_keys = [callcenterlogs.rand client = client.client_id,client.district_id = district.district_id,district.state_abbrev = state.StateCode,events.Client_ID = client.client_id,events.Complaint ID = callcenterlogs.Complaint ID,reviews.district_id = district.district_id] Knowledge: 5 star refers to Stars = 5; Nashville refers to city = 'Nashville'; Tennessee refers to state_abbrev = 'TN' Question: In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee?

SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5

{'state': ['StateCode', 'State', 'Region'], 'callcenterlogs': ['Date received', 'Complaint ID', 'rand client', 'phonefinal', 'vru+line', 'call_id', 'priority', 'type', 'outcome', 'server', 'ser_start', 'ser_exit', 'ser_time'], 'client': ['client_id', 'sex', 'day', 'month', 'year', 'age', 'social', 'first', 'middle', 'last', 'phone', 'email', 'address_1', 'address_2', 'city', 'state', 'zipcode', 'district_id'], 'district': ['district_id', 'city', 'state_abbrev', 'division'], 'events': ['Date received', 'Product', 'Sub-product', 'Issue', 'Sub-issue', 'Consumer complaint narrative', 'Tags', 'Consumer consent provided?', 'Submitted via', 'Date sent to company', 'Company response to consumer', 'Timely response?', 'Consumer disputed?', 'Complaint ID', 'Client_ID'], 'reviews': ['Date', 'Stars', 'Reviews', 'Product', 'district_id']}

retail_complains