Datasets:

lamini
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text_to_sql_finetune

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Split (2)

train · 16.4k rows

input stringlengths 236 16.9k	output stringlengths 19 805
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the average number of courses taught by a professor?	SELECT CAST(COUNT(T1.course_id) AS REAL) / COUNT(DISTINCT T2.p_id) AS num FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.professor = 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the ratio of professors and students?	SELECT CAST(SUM(CASE WHEN professor = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN student = 1 THEN 1 ELSE 0 END) AS per FROM person;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Calculate the percentage of high-level undergraduate course.	SELECT CAST(SUM(CASE WHEN courseLevel = 'Level_400' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM course;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List down all the person IDs who taught course ID of 18.	SELECT p_id FROM taughtBy WHERE course_id = 18;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Provide the position status and IDs of professor who advised student ID "303".	SELECT T2.hasPosition, T1.p_id_dummy FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id_dummy = T2.p_id WHERE T1.p_id = 303;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List the person IDs and course levels of the affiliated professors in faculty.	SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_aff';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Describe the year in program and in phase status for the student with most number in advisor.	SELECT T2.yearsInProgram, T2.inPhase FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id GROUP BY T1.p_id ORDER BY COUNT(*) DESC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List down the advised student IDs and IDs of employing professor in faculty.	SELECT T1.p_id, T2.p_id FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id_dummy = T2.p_id WHERE hasPosition = 'Faculty_eme';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List the course IDs and levels of person IDs from 40 to 50.	SELECT T1.course_id, T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id BETWEEN 40 AND 50;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Describe the course level and list of person IDs who taught course ID of 147.	SELECT T1.courseLevel, T1.course_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id = 141;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Mention the person ID of faculty professor who taught course ID 104 and the course level.	SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T3.course_id = 104 AND T1.hasPosition <> 0;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Find the professor ID and position in faculty who taught high-level undergraduate course of less than 10 in ID.	SELECT T1.p_id, T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T3.courseLevel = 'Level_400' AND T2.course_id < 10;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List the professor ID who taught the course ID from 121 to 130 of basic undergraduate courses.	SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_300' AND T1.course_id > 121 AND T1.course_id < 130;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List the advisor IDs for students with eighth year of program and position status in faculty of those professors.	SELECT T1.p_id_dummy, T2.hasPosition FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_8';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- List any five of course IDs with professor IDs who taught master courses.	SELECT T1.course_id, T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' LIMIT 5;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many students are under advisor 415?	SELECT COUNT(*) FROM advisedBy WHERE p_id_dummy = 415;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many professional or master/graduate courses are there?	SELECT COUNT(*) FROM course WHERE courseLevel = 'Level_500';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many non-faculty members are not undergoing the phase of qualifications?	SELECT COUNT(*) FROM person WHERE hasPosition = 0 AND inPhase = 0;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Which professor taught the least amount of courses?	SELECT p_id FROM taughtBy GROUP BY p_id ORDER BY COUNT(course_id) ASC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Among the students being advised by Advisor 5, how many students are in the 5th year?	SELECT COUNT(*) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T1.p_id_dummy = 5 AND T2.student = 1 AND T2.yearsInProgram = 'Year_5';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Which professor teaches the highest number of professional or master/graduate courses?	SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' GROUP BY T2.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Among the faculty affiliated professor, how many professors teaches professional or master/undergraduate courses?	SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_aff' AND T1.professor = 1 AND T3.courseLevel = 'Level_500';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Who are the top 5 professors who teaches the highest number of professional or master/undergraduate courses?	SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' GROUP BY T2.p_id ORDER BY COUNT(T2.p_id) DESC LIMIT 5;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many advisors are in charge of advising all the students in 1st year?	SELECT COUNT(T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_1' AND T2.student = 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many professors teaches no more than two high-level or harder undergraduate courses?	SELECT COUNT(*) FROM ( SELECT COUNT(T2.p_id) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_400' GROUP BY T2.p_id HAVING COUNT(DISTINCT T1.course_id) <= 2 );
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Between the faculty employee professors, how many teaches high-level or harder undergraduate courses? Indicate each of the professors unique identifying number.	SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_eme' AND T1.professor = 1 AND T3.courseLevel = 'Level_400';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the position in the faculty of the professor who teaches the highest number of courses?	SELECT T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What year in the program do the students with more than 2 advisors are in?	SELECT T2.yearsInProgram FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.student = 1 GROUP BY T2.p_id HAVING COUNT(T2.p_id) > 2;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many professors teaches basic or medium undergraduate courses?	SELECT COUNT(*) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_300';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Among the students being advised by advisors, which students' year in the program do the advisors advise the majority of?	SELECT T2.yearsInProgram FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.student = 1 GROUP BY T2.yearsInProgram ORDER BY COUNT(T1.p_id_dummy) DESC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many students that are undergoing the pre-phase of qualification have advisors?	SELECT COUNT(T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.inPhase = 'Pre_Quals' AND T2.student = 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the average number of professional or master/undergraduate courses being taught by each professor?	SELECT CAST(COUNT(T1.course_id) AS REAL) / COUNT(DISTINCT T2.p_id) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many courses were taught by more than 4 people?	SELECT COUNT(*) FROM ( SELECT COUNT(course_id) FROM taughtBy GROUP BY course_id HAVING COUNT(course_id) > 4 );
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the total of professional courses available at the university? List out all the course id.	SELECT COUNT(course_id) FROM course WHERE courseLevel = 'Level_500';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- What is the sum of year 1 and year 2 students?	SELECT COUNT(*) FROM person WHERE yearsInProgram = 'Year_1' OR yearsInProgram = 'Year_2';
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- How many courses were taught by a professor who is currently the member of faculty?	SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 AND T1.hasPosition <> 0;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Which professor taught the most courses and what is the position of this person in the university?	SELECT T1.p_id, T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Which courses were taught by a professor who is not a faculty member?	SELECT DISTINCT T2.course_id FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 AND T1.hasPosition = 0;
-- Database schema \| course : course_id [ INTEGER ] primary_key , courseLevel [ TEXT ] \| person : p_id [ INTEGER ] primary_key , professor [ INTEGER ] , student [ INTEGER ] , hasPosition [ TEXT ] , inPhase [ TEXT ] , yearsInProgram [ TEXT ] \| advisedBy : p_id [ INTEGER ] advisedBy.p_id = person.p_id , p_id_dummy [ INTEGER ] advisedBy.p_id_dummy = person.p_id \| taughtBy : course_id [ INTEGER ] taughtBy.course_id = course.course_id , p_id [ INTEGER ] taughtBy.p_id = person.p_id \| -- -- Which member of the faculty are teaching the most courses and what is his/her general course level?	SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the device id of the oldest user?	SELECT device_id FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age );
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events were held at coordinate 97,40?	SELECT COUNT(event_id) FROM `events` WHERE latitude = 40 AND longitude = 97;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many male users are in the age group of M32-38?	SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many female users over the age of 50 are there?	SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many active users were there in the event id 2?	SELECT COUNT(is_active) FROM app_events WHERE event_id = 2 AND is_active = 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the gender of the youngest user?	SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age );
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the name of the category which most users belong to?	SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the model of the oldest user's device?	SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many users are there in the Home Decoration category?	SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id WHERE T2.category = 'Home Decoration';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many male users are active in the events held on 5/1/2016?	SELECT COUNT(T3.gender) FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T2.event_id = T1.event_id INNER JOIN gender_age AS T3 ON T3.device_id = T2.device_id WHERE T1.is_active = 1 AND T3.gender = 'M' AND T2.timestamp LIKE '2016-05-01%';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many female users use ZenFone 5 devices?	SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the age of the oldest active user that participated in the event held on 5/6/2016 at coordinates 121, 31?	SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the most common device model among female users between the ages 27 to 28?	SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F27-28' AND T1.gender = 'F' ORDER BY T2.device_id DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What are the categories of the top 2 oldest events?	SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the gender of the majority of Vivo phone users?	SELECT T.gender FROM ( SELECT T2.gender, COUNT(T2.gender) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' GROUP BY T2.gender ) AS T ORDER BY T.num DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Which category has the highest number of users?	SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many users belong to the MOBA category?	SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id WHERE T1.category = 'MOBA';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the percentage of female OPPO users against the male OPPO users?	SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What were the locations of the events on 8th May, 2016?	SELECT longitude, latitude FROM `events` WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-08';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- List the app users IDs and installed status for the event ID of 844.	SELECT app_id , IIF(is_installed = 1, 'YES', 'NO') AS status FROM app_events WHERE event_id = 844;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events were there on 30th April, 2016?	SELECT COUNT(event_id) FROM events WHERE SUBSTR(`timestamp`, 1, 10) = '2016-04-30';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many users used Vivo Xplay3S model?	SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'Xplay3S' AND phone_brand = 'vivo';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the ratio of male and female users in 27-28 age group?	SELECT SUM(IIF(gender = 'M' AND `group` = 'M27-28', 1, 0)) / SUM(IIF(gender = 'F' AND `group` = 'F27-28', 1, 0)) AS r FROM gender_age;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What are the labels' IDs of online shopping and online malls categories?	SELECT label_id FROM label_categories WHERE category IN ('online shopping', 'online malls');
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Describe the phone brands and models of the users who participated in events on 5th May, 2016 at the coordinates of (112,44).	SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Provide the app users IDs and time for the event ID of 82.	SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Describe the device user gender and age of the event ID of 15251.	SELECT T1.gender, T1.age FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.event_id = 15251;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events did the 88-years-old male users participate on 4th May,2016?	SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Describe the ages, genders and numbers of events participated by the users at coordinates of (-102,38).	SELECT DISTINCT T1.age, T1.gender, COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN `events` AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = -102 AND T2.latitude = 38 GROUP BY T1.age, T1.gender, T2.longitude, T2.latitude;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Provide the phone brands and models of the users who were at the coordinates of (80,44).	SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- List the included categories in the event ID of 155.	SELECT DISTINCT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id INNER JOIN app_events AS T3 ON T3.app_id = T2.app_id WHERE T3.event_id = 155;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among HTC Butterfly phone users, list any five devices' IDs used by females.	SELECT T2.device_id FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Butterfly' AND T2.gender = 'F' AND T1.phone_brand = 'HTC' LIMIT 5;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many app IDs were included under science fiction category?	SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id WHERE T1.category = 'science fiction';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What are the ages and genders of the LG L70 users?	SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Calculate the percentage of the app user IDs under Industry tag category.	SELECT SUM(IIF(T1.category = 'Industry tag', 1, 0)) * 100 / COUNT(T2.app_id) AS per FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among the LG brand users, calculate the percentage of the Nexus 5 model user. What is the ratio of male and female users of it?	SELECT SUM(IIF(T1.device_model = 'Nexus 5', 1, 0)) * 100 / COUNT(T1.device_id) AS per , SUM(IIF(T1.device_model = 'Nexus 5' AND T2.gender = 'M', 1, 0)) / SUM(IIF(T1.device_model = 'Nexus 5' AND T2.gender = 'F', 1, 0)) AS r FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many users of the app were not active when event no.2 happened?	SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events in total have happened on the devices in 2016?	SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events have happened on device no.29182687948017100 in 2016?	SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many device users are male?	SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the age of the oldest device user?	SELECT MAX(age) FROM gender_age;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among the female users of the devices, how many of them are under 30?	SELECT COUNT(device_id) FROM gender_age WHERE age < 30 AND gender = 'F';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among the users who use a Galaxy Note 2, how many of them are female?	SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Please list the ages of all the users who use a Galaxy Note 2.	SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the device model of the device used by the oldest user?	SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age ) );
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- To which user group do most of the users who uses a vivo device belong?	SELECT T.`group` FROM ( SELECT T2.`group`, COUNT(`group`) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' GROUP BY T2.`group` ) AS T ORDER BY T.num DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many app users belong to the category of Securities?	SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id WHERE T2.category = 'Securities';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- To which categories does app user no.1977658975649780000 belong?	SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Please list the categories of the app users who are not active when event no.2 happened.	SELECT DISTINCT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.event_id = 2 AND T3.is_active = 0;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Please list the location coordinates of all the devices with an inactive app user when event no.2 happened.	SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among all the times event no.2 happened when the app user was not active, when was the earliest time this situation happened?	SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Please list the IDs of the events happened on all the vivo devices.	SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among the devices with event no.2 happening, how many of them are vivo devices?	SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Please list the time when event no.2 happened on a vivo device.	SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many events in total have happened on all the vivo devices in the year 2016?	SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among the users who uses a vivo device, how many of them are female and under 30?	SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the category that the most app users belong to?	SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1;
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- What is the brand of the device used by the youngest female user?	SELECT phone_brand FROM phone_brand_device_model2 WHERE device_id IN ( SELECT * FROM ( SELECT device_id FROM gender_age WHERE gender = 'F' ORDER BY age LIMIT 1 ) AS T );
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- How many users in user group M23-26 use a vivo device?	SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among all the users who use a vivo device, what is the percentage of the users in the M23-26 user group?	SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo';
-- Database schema \| app_all : app_id [ INTEGER ] primary_key \| app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] \| app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] \| app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id \| events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] \| gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| gender_age_test : device_id [ INTEGER ] primary_key \| gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] \| label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] \| phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] \| sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] \| -- -- Among all the devices with event no.2 happening, what is the percentage of the device being a vivo phone?	SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2';

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