[
	{
		"database": "sf_food_inspections_lives",
		"table": "inspection_records",
		"sql": "CREATE TABLE inspection_records (\n\tbusiness_id INT(11) NOT NULL, \n\tbusiness_name VARCHAR(64) NOT NULL, \n\tbusiness_address VARCHAR(50), \n\tbusiness_city VARCHAR(13) NOT NULL, \n\tbusiness_state VARCHAR(2) NOT NULL, \n\tbusiness_postal_code VARCHAR(9), \n\tbusiness_latitude FLOAT, \n\tbusiness_longitude FLOAT, \n\tbusiness_phone_number BIGINT, \n\tinspection_id VARCHAR(14) NOT NULL, \n\tinspection_date DATE NOT NULL, \n\tinspection_score INT(11), \n\tinspection_type VARCHAR(33) NOT NULL, \n\tviolation_id VARCHAR(21), \n\tviolation_description VARCHAR(73), \n\trisk_category VARCHAR(13)\n)",
		"col_names": [
			"business_id",
			"business_name",
			"business_address",
			"business_city",
			"business_state",
			"business_postal_code",
			"business_latitude",
			"business_longitude",
			"business_phone_number",
			"inspection_id",
			"inspection_date",
			"inspection_score",
			"inspection_type",
			"violation_id",
			"violation_description",
			"risk_category"
		],
		"questions": [
			"1. What is the average inspection score for businesses in San Francisco?",
			"2. What is the most common violation description among businesses in San Francisco?",
			"3. What is the average inspection score for businesses in a specific city?",
			"4. What is the most common risk category among businesses in a specific city?",
			"5. What is the average inspection score for businesses with a specific inspection type?",
			"6. What is the most common violation description among businesses with a specific inspection type?",
			"7. What is the average inspection score for businesses with a specific violation description?",
			"8. What is the most common risk category among businesses with a specific violation description?",
			"9. What is the average inspection score for businesses with a specific risk category?",
			"10. What is the most common violation description among businesses with a specific risk category?",
			"11. What is the average inspection score for businesses with a specific business name?",
			"12. What is the most common violation description among businesses with a specific business name?",
			"13. What is the average inspection score for businesses with a specific business address?",
			"14. What is the most common violation description among businesses with a specific business address?",
			"15. What is the average inspection score for businesses with a specific business phone number?",
			"16. What is the most common violation description among businesses with a specific business phone number?",
			"17. What is the average inspection score for businesses with a specific business postal code?",
			"18. What is the most common violation description among businesses with a specific business postal code?",
			"19. What is the average inspection score for businesses with a specific business latitude and longitude?",
			"20. What is the most common violation description among businesses with a specific business latitude and longitude?"
		]
	},
	{
		"database": "florida_deathrow",
		"table": "inmates",
		"sql": "CREATE TABLE \"inmates\" (\n\t`Inmate Name`\tTEXT NOT NULL,\n\t`DC#`\tTEXT NOT NULL,\n\t`Race/Gender`\tTEXT NOT NULL,\n\t`Date Received`\tDATE NOT NULL,\n\t`Crime`\tTEXT NOT NULL,\n\t`Date of Offense`\tDATE NOT NULL,\n\t`Date of Sentence`\tDATE NOT NULL,\n\t`Date of Birth`\tDATE NOT NULL,\n\t`County`\tTEXT NOT NULL\n)",
		"col_names": [
			"Inmate Name",
			"DC#",
			"Race/Gender",
			"Date Received",
			"Crime",
			"Date of Offense",
			"Date of Sentence",
			"Date of Birth",
			"County"
		],
		"questions": [
			"1. What is the average age of inmates on Florida's death row?",
			"2. What is the most common crime committed by inmates on Florida's death row?",
			"3. What is the racial/gender breakdown of inmates on Florida's death row?",
			"4. How many inmates on Florida's death row have been sentenced since 2000?",
			"5. What is the average time between the date of offense and the date of sentence for inmates on Florida's death row?",
			"6. What is the most common county of origin for inmates on Florida's death row?",
			"7. How many inmates on Florida's death row have been sentenced to death since 2010?",
			"8. What is the average time between the date of birth and the date of sentence for inmates on Florida's death row?",
			"9. What is the average time between the date of offense and the date of birth for inmates on Florida's death row?",
			"10. What is the most common age of inmates on Florida's death row?",
			"11. How many inmates on Florida's death row have been sentenced to death since 2015?",
			"12. What is the average time between the date of birth and the date of offense for inmates on Florida's death row?",
			"13. What is the most common gender of inmates on Florida's death row?",
			"14. How many inmates on Florida's death row have been sentenced to death since 2020?",
			"15. What is the average time between the date of sentence and the date received for inmates on Florida's death row?",
			"16. What is the most common race of inmates on Florida's death row?",
			"17. How many inmates on Florida's death row have been sentenced to death since 2005?",
			"18. What is the average time between the date of offense and the date received for inmates on Florida's death row?",
			"19. What is the average time between the date of sentence and the date of birth for inmates on Florida's death row?",
			"20. How many inmates on Florida's death row have been sentenced to death since 1995?"
		]
	},
	{
		"database": "sfscores",
		"table": "businesses",
		"sql": "CREATE TABLE businesses (\n\tbusiness_id INT(11) NOT NULL, \n\tname VARCHAR(64), \n\taddress VARCHAR(50), \n\tcity VARCHAR(23), \n\tpostal_code VARCHAR(9), \n\tlatitude FLOAT, \n\tlongitude FLOAT, \n\tphone_number BIGINT, \n\t\"TaxCode\" VARCHAR(4), \n\tbusiness_certificate INT(11), \n\tapplication_date DATE, \n\towner_name VARCHAR(99), \n\towner_address VARCHAR(74), \n\towner_city VARCHAR(22), \n\towner_state VARCHAR(14), \n\towner_zip VARCHAR(15)\n)",
		"col_names": [
			"business_id",
			"name",
			"address",
			"city",
			"postal_code",
			"latitude",
			"longitude",
			"phone_number",
			"TaxCode",
			"business_certificate",
			"application_date",
			"owner_name",
			"owner_address",
			"owner_city",
			"owner_state",
			"owner_zip"
		],
		"questions": [
			"1. What is the average postal code of businesses in the sfscores.businesses table?",
			"2. How many businesses have a business certificate?",
			"3. What is the most common phone number among businesses in the sfscores.businesses table?",
			"4. What is the average latitude and longitude of businesses in the sfscores.businesses table?",
			"5. How many businesses have the same owner name?",
			"6. What is the most common TaxCode among businesses in the sfscores.businesses table?",
			"7. What is the average application date of businesses in the sfscores.businesses table?",
			"8. How many businesses have the same owner address?",
			"9. What is the most common city among businesses in the sfscores.businesses table?",
			"10. What is the average owner zip code of businesses in the sfscores.businesses table?",
			"11. How many businesses have the same owner city?",
			"12. What is the most common owner state among businesses in the sfscores.businesses table?",
			"13. What is the average owner name of businesses in the sfscores.businesses table?",
			"14. How many businesses have the same owner state?",
			"15. What is the most common address among businesses in the sfscores.businesses table?",
			"16. What is the average name of businesses in the sfscores.businesses table?",
			"17. How many businesses have the same owner zip code?",
			"18. What is the most common owner address among businesses in the sfscores.businesses table?",
			"19. What is the average owner city of businesses in the sfscores.businesses table?",
			"20. How many businesses have the same business certificate?"
		]
	},
	{
		"database": "sfscores",
		"table": "inspections",
		"sql": "CREATE TABLE \"inspections\" (\n\t`business_id`\tTEXT NOT NULL,\n\t`Score`\tINT(11),\n\t`date`\tTEXT NOT NULL,\n\t`type`\tVARCHAR(33) NOT NULL\n)",
		"col_names": [
			"business_id",
			"Score",
			"date",
			"type"
		],
		"questions": [
			"1. What is the average score of all inspections for each business_id?",
			"2. What is the highest score for each type of inspection?",
			"3. What is the average score for each type of inspection?",
			"4. What is the average score for each business_id over time?",
			"5. What is the average score for each type of inspection over time?",
			"6. What is the distribution of scores for each business_id?",
			"7. What is the distribution of scores for each type of inspection?",
			"8. What is the average score for each business_id by month?",
			"9. What is the average score for each type of inspection by month?",
			"10. What is the average score for each business_id by year?",
			"11. What is the average score for each type of inspection by year?",
			"12. What is the average score for each business_id by day of the week?",
			"13. What is the average score for each type of inspection by day of the week?",
			"14. What is the average score for each business_id by hour of the day?",
			"15. What is the average score for each type of inspection by hour of the day?",
			"16. What is the correlation between score and date for each business_id?",
			"17. What is the correlation between score and date for each type of inspection?",
			"18. What is the average score for each business_id by type of inspection?",
			"19. What is the average score for each type of inspection by business_id?",
			"20. What is the difference in average score between the highest and lowest scoring business_id?"
		]
	},
	{
		"database": "sfscores",
		"table": "violations",
		"sql": "CREATE TABLE \"violations\" (\n\t`business_id`\tTEXT NOT NULL,\n\t`date`\tTEXT NOT NULL,\n\t`ViolationTypeID`\tTEXT NOT NULL,\n\t`risk_category`\tTEXT NOT NULL,\n\t`description`\tTEXT NOT NULL\n)",
		"col_names": [
			"business_id",
			"date",
			"ViolationTypeID",
			"risk_category",
			"description"
		],
		"questions": [
			"1. What is the average number of violations per business_id?",
			"2. What is the most common ViolationTypeID?",
			"3. What is the risk category with the highest number of violations?",
			"4. What is the average risk category for each business_id?",
			"5. What is the most frequent description of violations?",
			"6. What is the average number of violations per month?",
			"7. What is the most common ViolationTypeID for each risk category?",
			"8. What is the average risk category for each ViolationTypeID?",
			"9. What is the most frequent description of violations for each business_id?",
			"10. What is the average number of violations per day?",
			"11. What is the most common ViolationTypeID for each month?",
			"12. What is the average risk category for each description?",
			"13. What is the most frequent description of violations for each risk category?",
			"14. What is the average number of violations per year?",
			"15. What is the most common ViolationTypeID for each year?",
			"16. What is the average risk category for each business_id over time?",
			"17. What is the most frequent description of violations for each month?",
			"18. What is the average number of violations for each risk category over time?",
			"19. What is the most common ViolationTypeID for each business_id over time?",
			"20. What is the average risk category for each description over time?"
		]
	},
	{
		"database": "thr_gendered_babynames",
		"table": "gendered_names",
		"sql": "CREATE TABLE `gendered_names` (\n    `year`  INT(11) NOT NULL,\n    `state` TEXT NOT NULL,\n    `name`  TEXT NOT NULL,\n    `total_babies` INT(11) NOT NULL,\n    `primary_sex`   TEXT NOT NULL,\n  `primary_sex_ratio` INT(11) NOT NULL,\n  `per_100k_in_state` INT(11) NOT NULL\n)",
		"col_names": [
			"year",
			"state",
			"name",
			"total_babies",
			"primary_sex",
			"primary_sex_ratio",
			"per_100k_in_state"
		],
		"questions": [
			"1. What is the most popular name in each state in the year 2020?",
			"2. What is the most popular name for boys in each state in the year 2020?",
			"3. What is the most popular name for girls in each state in the year 2020?",
			"4. What is the total number of babies born in each state in the year 2020?",
			"5. What is the primary sex ratio of babies born in each state in the year 2020?",
			"6. What is the primary sex ratio of babies born in each state for each year?",
			"7. What is the total number of babies born in each state for each year?",
			"8. What is the average primary sex ratio of babies born in each state for each year?",
			"9. What is the average total number of babies born in each state for each year?",
			"10. What is the most popular name in each state for each year?",
			"11. What is the most popular name for boys in each state for each year?",
			"12. What is the most popular name for girls in each state for each year?",
			"13. What is the average primary sex ratio of babies born in each state across all years?",
			"14. What is the average total number of babies born in each state across all years?",
			"15. What is the most popular name across all states and all years?",
			"16. What is the most popular name for boys across all states and all years?",
			"17. What is the most popular name for girls across all states and all years?",
			"18. What is the average primary sex ratio of babies born across all states and all years?",
			"19. What is the average total number of babies born across all states and all years?",
			"20. What is the per 100k in state for each name in each state for each year?"
		]
	},
	{
		"database": "thr_gendered_babynames",
		"table": "thr_power_list",
		"sql": "CREATE TABLE \"thr_power_list\" (\n\t`rank`\tINT(11),\n\t`full_name`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`occupation`\tTEXT,\n\t`company`\tTEXT\n)",
		"col_names": [
			"rank",
			"full_name",
			"first_name",
			"last_name",
			"occupation",
			"company"
		],
		"questions": null
	},
	{
		"database": "peninsula_publicpay",
		"table": "salaries",
		"sql": "CREATE TABLE \"salaries\" (\n\t`Year`\tINT(11),\n\t`Entity Type`\tTEXT,\n\t`Entity Name`\tTEXT,\n\t`Department / Subdivision`\tTEXT,\n\t`Position`\tTEXT,\n\t`Elected Official`\tBOOLEAN,\n\t`Judicial`\tBOOLEAN,\n\t`Other Positions`\tTEXT,\n\t`Min Classification Salary`\tFLOAT,\n\t`Max Classification Salary`\tFLOAT,\n\t`Reported Base Wage`\tINT(11),\n\t`Regular Pay`\tFLOAT,\n\t`Overtime Pay`\tFLOAT,\n\t`Lump-Sum Pay`\tFLOAT,\n\t`Other Pay`\tFLOAT,\n\t`Total Wages`\tFLOAT,\n\t`Defined Benefit Plan`\tFLOAT,\n\t`Employees Retirement Cost Covered`\tFLOAT,\n\t`Deferred Compensation Plan`\tFLOAT,\n\t`Health Dental Vision`\tFLOAT,\n\t`Total Retirement and Health Cost`\tFLOAT,\n\t`Pension Formula`\tTEXT,\n\t`Entity Population`\tINT(11),\n\t`Entity County`\tTEXT\n)",
		"col_names": [
			"Year",
			"Entity Type",
			"Entity Name",
			"Department / Subdivision",
			"Position",
			"Elected Official",
			"Judicial",
			"Other Positions",
			"Min Classification Salary",
			"Max Classification Salary",
			"Reported Base Wage",
			"Regular Pay",
			"Overtime Pay",
			"Lump-Sum Pay",
			"Other Pay",
			"Total Wages",
			"Defined Benefit Plan",
			"Employees Retirement Cost Covered",
			"Deferred Compensation Plan",
			"Health Dental Vision",
			"Total Retirement and Health Cost",
			"Pension Formula",
			"Entity Population",
			"Entity County"
		],
		"questions": [
			"1. What is the average Reported Base Wage for each Entity Type?",
			"2. What is the average Total Wages for each Entity County?",
			"3. What is the average Defined Benefit Plan for each Entity Name?",
			"4. What is the average Employees Retirement Cost Covered for each Department/Subdivision?",
			"5. What is the average Deferred Compensation Plan for each Position?",
			"6. What is the average Health Dental Vision for each Elected Official?",
			"7. What is the average Total Retirement and Health Cost for each Judicial?",
			"8. What is the average Pension Formula for each Other Positions?",
			"9. What is the average Entity Population for each Min Classification Salary?",
			"10. What is the average Entity County for each Max Classification Salary?",
			"11. What is the average Reported Base Wage for each Reported Base Wage?",
			"12. What is the average Regular Pay for each Overtime Pay?",
			"13. What is the average Lump-Sum Pay for each Other Pay?",
			"14. What is the average Total Wages for each Total Wages?",
			"15. What is the average Defined Benefit Plan for each Defined Benefit Plan?",
			"16. What is the average Employees Retirement Cost Covered for each Employees Retirement Cost Covered?",
			"17. What is the average Deferred Compensation Plan for each Deferred Compensation Plan?",
			"18. What is the average Health Dental Vision for each Health Dental Vision?",
			"19. What is the average Total Retirement and Health Cost for each Pension Formula?",
			"20. What is the average Entity Population for each Entity County?"
		]
	},
	{
		"database": "usgs_lower_us",
		"table": "quakes",
		"sql": "CREATE TABLE quakes (\n    time DATETIME , \n    latitude FLOAT , \n    longitude FLOAT , \n    depth FLOAT , \n    mag FLOAT , \n    \"magType\" TEXT, \n    nst INT(11), \n    gap FLOAT, \n    dmin FLOAT, \n    rms FLOAT, \n    net TEXT , \n    id TEXT , \n    updated DATETIME , \n    place TEXT , \n    type TEXT , \n    \"horizontalError\" FLOAT, \n    \"depthError\" FLOAT, \n    \"magError\" FLOAT, \n    \"magNst\" INT(11), \n    status TEXT , \n    \"locationSource\" TEXT , \n    \"magSource\" TEXT \n)",
		"col_names": [
			"time",
			"latitude",
			"longitude",
			"depth",
			"mag",
			"magType",
			"nst",
			"gap",
			"dmin",
			"rms",
			"net",
			"id",
			"updated",
			"place",
			"type",
			"horizontalError",
			"depthError",
			"magError",
			"magNst",
			"status",
			"locationSource",
			"magSource"
		],
		"questions": null
	},
	{
		"database": "simplefolks",
		"table": "homes",
		"sql": "CREATE TABLE \"homes\" (\n\t`owner_name`\tTEXT NOT NULL,\n\t`area`\tTEXT NOT NULL,\n\t`value`\tINT(11) NOT NULL\n)",
		"col_names": [
			"owner_name",
			"area",
			"value"
		],
		"questions": [
			"1. What is the average value of homes owned by a particular owner?",
			"2. What is the total area of homes owned by a particular owner?",
			"3. What is the maximum value of homes owned by a particular owner?",
			"4. What is the minimum value of homes owned by a particular owner?",
			"5. What is the average area of homes owned by a particular owner?",
			"6. What is the total value of homes owned by a particular owner?",
			"7. What is the average value of homes in a particular area?",
			"8. What is the total area of homes in a particular area?",
			"9. What is the maximum value of homes in a particular area?",
			"10. What is the minimum value of homes in a particular area?",
			"11. What is the average area of homes in a particular area?",
			"12. What is the total value of homes in a particular area?",
			"13. What is the average value of homes owned by owners with a particular name?",
			"14. What is the total area of homes owned by owners with a particular name?",
			"15. What is the maximum value of homes owned by owners with a particular name?",
			"16. What is the minimum value of homes owned by owners with a particular name?",
			"17. What is the average area of homes owned by owners with a particular name?",
			"18. What is the total value of homes owned by owners with a particular name?",
			"19. What is the average value of homes in areas with a particular name?",
			"20. What is the total area of homes in areas with a particular name?"
		]
	},
	{
		"database": "simplefolks",
		"table": "people",
		"sql": "CREATE TABLE \"people\" (\n\t`name`\tTEXT NOT NULL,\n\t`sex`\tTEXT NOT NULL,\n\t`age`\tINT(11) NOT NULL\n)",
		"col_names": [
			"name",
			"sex",
			"age"
		],
		"questions": [
			"1. What is the average age of people in the simplefolks.people table?",
			"2. What is the most common sex among people in the simplefolks.people table?",
			"3. How many people in the simplefolks.people table are over the age of 40?",
			"4. What is the distribution of ages among people in the simplefolks.people table?",
			"5. What is the median age of people in the simplefolks.people table?",
			"6. How many people in the simplefolks.people table are under the age of 18?",
			"7. What is the range of ages among people in the simplefolks.people table?",
			"8. What is the percentage of people in the simplefolks.people table who are male?",
			"9. What is the percentage of people in the simplefolks.people table who are female?",
			"10. How many people in the simplefolks.people table are between the ages of 25 and 35?",
			"11. What is the mode of ages among people in the simplefolks.people table?",
			"12. How many people in the simplefolks.people table are over the age of 65?",
			"13. What is the standard deviation of ages among people in the simplefolks.people table?",
			"14. How many people in the simplefolks.people table are between the ages of 18 and 25?",
			"15. What is the minimum age of people in the simplefolks.people table?",
			"16. What is the maximum age of people in the simplefolks.people table?",
			"17. How many people in the simplefolks.people table are between the ages of 35 and 45?",
			"18. What is the interquartile range of ages among people in the simplefolks.people table?",
			"19. How many people in the simplefolks.people table are between the ages of 45 and 65?",
			"20. What is the variance of ages among people in the simplefolks.people table?"
		]
	},
	{
		"database": "simplefolks",
		"table": "pets",
		"sql": "CREATE TABLE \"pets\" (\n\t`name`\tTEXT NOT NULL,\n\t`type`\tTEXT NOT NULL,\n\t`owner_name`\tTEXT NOT NULL\n)",
		"col_names": [
			"name",
			"type",
			"owner_name"
		],
		"questions": [
			"1. What is the most common type of pet owned by people in the simplefolks.pets table?",
			"2. How many different pet owners are there in the simplefolks.pets table?",
			"3. What is the average number of pets owned by each pet owner in the simplefolks.pets table?",
			"4. What is the most popular pet name in the simplefolks.pets table?",
			"5. What is the least popular pet name in the simplefolks.pets table?",
			"6. What is the most common type of pet owned by people with the last name of Smith in the simplefolks.pets table?",
			"7. How many different pet owners have the same pet name in the simplefolks.pets table?",
			"8. What is the average age of the pets in the simplefolks.pets table?",
			"9. What is the most popular type of pet in the simplefolks.pets table?",
			"10. What is the least popular type of pet in the simplefolks.pets table?",
			"11. How many pet owners have more than one pet in the simplefolks.pets table?",
			"12. What is the average number of pets owned by pet owners with the last name of Jones in the simplefolks.pets table?",
			"13. What is the most common pet name for cats in the simplefolks.pets table?",
			"14. What is the least common pet name for dogs in the simplefolks.pets table?",
			"15. How many pet owners have more than two pets in the simplefolks.pets table?",
			"16. What is the average age of the pets owned by pet owners with the last name of Brown in the simplefolks.pets table?",
			"17. What is the most popular pet name for birds in the simplefolks.pets table?",
			"18. What is the least popular pet name for fish in the simplefolks.pets table?",
			"19. How many pet owners have more than three pets in the simplefolks.pets table?",
			"20. What is the average number of pets owned by pet owners with the last name of Williams in the simplefolks.pets table?"
		]
	},
	{
		"database": "simplefolks",
		"table": "inmates",
		"sql": "CREATE TABLE \"inmates\" (\n\t`id`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`birth_year`\tINT(11),\n\t`sentence_start`\tINT(11),\n\t`sentence_end`\tINT(11)\n)",
		"col_names": [
			"id",
			"first_name",
			"last_name",
			"birth_year",
			"sentence_start",
			"sentence_end"
		],
		"questions": [
			"1. What is the average age of inmates in the simplefolks.inmates table?",
			"2. How many inmates have a sentence start date before 2000?",
			"3. How many inmates have a sentence end date after 2020?",
			"4. What is the most common first name among inmates?",
			"5. What is the most common last name among inmates?",
			"6. How many inmates have a sentence start date after their birth year?",
			"7. How many inmates have a sentence end date before their birth year?",
			"8. What is the average sentence length for inmates?",
			"9. How many inmates have a sentence start date before their birth year?",
			"10. How many inmates have a sentence end date after their birth year?",
			"11. What is the oldest inmate in the simplefolks.inmates table?",
			"12. What is the youngest inmate in the simplefolks.inmates table?",
			"13. How many inmates have a sentence start date in the same year as their birth year?",
			"14. How many inmates have a sentence end date in the same year as their birth year?",
			"15. What is the most common sentence start year among inmates?",
			"16. What is the most common sentence end year among inmates?",
			"17. How many inmates have a sentence start date before their sentence end date?",
			"18. How many inmates have a sentence start date after their sentence end date?",
			"19. What is the average sentence length for inmates born before 1990?",
			"20. What is the average sentence length for inmates born after 2000?"
		]
	},
	{
		"database": "simplefolks",
		"table": "politicians",
		"sql": "CREATE TABLE \"politicians\" (\n\t`bioguide_id`\tTEXT,\n\t`position`\tTEXT,\n\t`state`\tTEXT,\n\t`party`\tTEXT,\n\t`first_name`\tTEXT,\n\t`last_name`\tTEXT,\n\t`birth_year`\tINT(11),\n\t`service_start`\tINT(11),\n\t`service_end`\tINT(11)\n)",
		"col_names": [
			"bioguide_id",
			"position",
			"state",
			"party",
			"first_name",
			"last_name",
			"birth_year",
			"service_start",
			"service_end"
		],
		"questions": [
			"1. What is the average age of politicians in the simplefolks.politicians table?",
			"2. How many politicians in the simplefolks.politicians table are currently in office?",
			"3. What is the most common party affiliation among politicians in the simplefolks.politicians table?",
			"4. What is the average length of service for politicians in the simplefolks.politicians table?",
			"5. What is the most common position held by politicians in the simplefolks.politicians table?",
			"6. What is the average birth year of politicians in the simplefolks.politicians table?",
			"7. How many politicians in the simplefolks.politicians table have served for more than 10 years?",
			"8. What is the most common state represented by politicians in the simplefolks.politicians table?",
			"9. How many politicians in the simplefolks.politicians table have served for less than 5 years?",
			"10. What is the average service start date for politicians in the simplefolks.politicians table?",
			"11. How many politicians in the simplefolks.politicians table have served for more than 20 years?",
			"12. What is the most common first name among politicians in the simplefolks.politicians table?",
			"13. How many politicians in the simplefolks.politicians table have served for less than 10 years?",
			"14. What is the average service end date for politicians in the simplefolks.politicians table?",
			"15. How many politicians in the simplefolks.politicians table have served for more than 15 years?",
			"16. What is the most common last name among politicians in the simplefolks.politicians table?",
			"17. How many politicians in the simplefolks.politicians table have served for less than 15 years?",
			"18. What is the average length of service for politicians in the simplefolks.politicians table who are currently in office?",
			"19. How many politicians in the simplefolks.politicians table have served for more than 5 years?",
			"20. What is the most common party affiliation among politicians in the simplefolks.politicians table who are currently in office?"
		]
	},
	{
		"database": "ssa_babynames_nationwide_since_1980",
		"table": "babynames",
		"sql": "CREATE TABLE \"babynames\" (\n\t`year`\tINT(11) NOT NULL,\n\t`name`\tTEXT,\n\t`sex`\tTEXT NOT NULL,\n\t`count`\tINT(11) NOT NULL,\n\t`rank_within_sex`\tINT(11) NOT NULL,\n\t`per_100k_within_sex`\tFLOAT NOT NULL\n)",
		"col_names": [
			"year",
			"name",
			"sex",
			"count",
			"rank_within_sex",
			"per_100k_within_sex"
		],
		"questions": [
			"1. What is the most popular name for each year since 1980?",
			"2. What is the most popular name for each sex since 1980?",
			"3. What is the average rank of each name since 1980?",
			"4. What is the average count of each name since 1980?",
			"5. What is the average per_100k_within_sex of each name since 1980?",
			"6. What is the most popular name for each year and sex since 1980?",
			"7. What is the average rank of each name for each year since 1980?",
			"8. What is the average count of each name for each year since 1980?",
			"9. What is the average per_100k_within_sex of each name for each year since 1980?",
			"10. What is the most popular name for each year and sex since 1980, by rank?",
			"11. What is the most popular name for each year and sex since 1980, by count?",
			"12. What is the most popular name for each year and sex since 1980, by per_100k_within_sex?",
			"13. What is the average rank of each name for each sex since 1980?",
			"14. What is the average count of each name for each sex since 1980?",
			"15. What is the average per_100k_within_sex of each name for each sex since 1980?",
			"16. What is the most popular name for each year and sex since 1980, by rank and count?",
			"17. What is the most popular name for each year and sex since 1980, by rank and per_100k_within_sex?",
			"18. What is the most popular name for each year and sex since 1980, by count and per_100k_within_sex?",
			"19. What is the average rank of each name for each year and sex since 1980?",
			"20. What is the average count of each name for each year and sex since 1980?"
		]
	},
	{
		"database": "ssa_babynames_for_2015",
		"table": "babynames",
		"sql": "CREATE TABLE `babynames` (\n    `state` TEXT NOT NULL,\n    `year`  INT(11) NOT NULL,\n    `name`  TEXT NOT NULL,\n    `sex`   TEXT NOT NULL,\n    `count` INT(11) NOT NULL,\n    `rank_within_sex`   INT(11) NOT NULL,\n    `per_100k_within_sex`   FLOAT NOT NULL\n)",
		"col_names": [
			"state",
			"year",
			"name",
			"sex",
			"count",
			"rank_within_sex",
			"per_100k_within_sex"
		],
		"questions": [
			"1. What is the most popular baby name in each state in 2015?",
			"2. What is the most popular baby name for boys in 2015?",
			"3. What is the most popular baby name for girls in 2015?",
			"4. What is the least popular baby name in each state in 2015?",
			"5. What is the least popular baby name for boys in 2015?",
			"6. What is the least popular baby name for girls in 2015?",
			"7. What is the average rank of baby names in each state in 2015?",
			"8. What is the average rank of baby names for boys in 2015?",
			"9. What is the average rank of baby names for girls in 2015?",
			"10. What is the total number of baby names registered in each state in 2015?",
			"11. What is the total number of baby names registered for boys in 2015?",
			"12. What is the total number of baby names registered for girls in 2015?",
			"13. What is the average number of baby names per 100k people in each state in 2015?",
			"14. What is the average number of baby names per 100k people for boys in 2015?",
			"15. What is the average number of baby names per 100k people for girls in 2015?",
			"16. What is the most popular baby name in each state in 2015 compared to 2014?",
			"17. What is the most popular baby name for boys in 2015 compared to 2014?",
			"18. What is the most popular baby name for girls in 2015 compared to 2014?",
			"19. What is the least popular baby name in each state in 2015 compared to 2014?",
			"20. What is the least popular baby name for boys in 2015 compared to 2014?"
		]
	},
	{
		"database": "cdeschools",
		"table": "schools",
		"sql": "CREATE TABLE schools (\n\t\"CDSCode\" VARCHAR(14) NOT NULL, \n\t\"NCESDist\" VARCHAR(7), \n\t\"NCESSchool\" VARCHAR(5), \n\t\"StatusType\" VARCHAR(7) NOT NULL, \n\t\"County\" VARCHAR(15) NOT NULL, \n\t\"District\" VARCHAR(74) NOT NULL, \n\t\"School\" VARCHAR(89), \n\t\"Street\" VARCHAR(62), \n\t\"StreetAbr\" VARCHAR(59), \n\t\"City\" VARCHAR(25), \n\t\"Zip\" VARCHAR(10), \n\t\"State\" VARCHAR(4), \n\t\"MailStreet\" VARCHAR(70), \n\t\"MailStrAbr\" VARCHAR(70), \n\t\"MailCity\" VARCHAR(22), \n\t\"MailZip\" VARCHAR(10), \n\t\"MailState\" VARCHAR(4), \n\t\"Phone\" VARCHAR(14), \n\t\"Ext\" VARCHAR(6), \n\t\"Website\" VARCHAR(96), \n\t\"OpenDate\" DATE, \n\t\"ClosedDate\" DATE, \n\t\"Charter\" BOOLEAN, \n\t\"CharterNum\" VARCHAR(4), \n\t\"FundingType\" VARCHAR(23), \n\t\"DOC\" VARCHAR(2) NOT NULL, \n\t\"DOCType\" VARCHAR(42) NOT NULL, \n\t\"SOC\" VARCHAR(4), \n\t\"SOCType\" VARCHAR(41), \n\t\"EdOpsCode\" VARCHAR(7), \n\t\"EdOpsName\" VARCHAR(43), \n\t\"EILCode\" VARCHAR(8), \n\t\"EILName\" VARCHAR(31), \n\t\"GSoffered\" VARCHAR(16), \n\t\"GSserved\" VARCHAR(5), \n\t\"Virtual\" VARCHAR(4), \n\t\"Magnet\" BOOLEAN, \n\t\"Latitude\" FLOAT, \n\t\"Longitude\" FLOAT, \n\t\"AdmFName1\" VARCHAR(17), \n\t\"AdmLName1\" VARCHAR(22), \n\t\"AdmEmail1\" VARCHAR(49), \n\t\"AdmFName2\" VARCHAR(15), \n\t\"AdmLName2\" VARCHAR(18), \n\t\"AdmEmail2\" VARCHAR(40), \n\t\"AdmFName3\" VARCHAR(8), \n\t\"AdmLName3\" VARCHAR(15), \n\t\"AdmEmail3\" VARCHAR(39), \n\t\"LastUpdate\" DATE NOT NULL, \n\tCHECK (\"Charter\" IN (0, 1)), \n\tCHECK (\"Magnet\" IN (0, 1))\n)",
		"col_names": [
			"CDSCode",
			"NCESDist",
			"NCESSchool",
			"StatusType",
			"County",
			"District",
			"School",
			"Street",
			"StreetAbr",
			"City",
			"Zip",
			"State",
			"MailStreet",
			"MailStrAbr",
			"MailCity",
			"MailZip",
			"MailState",
			"Phone",
			"Ext",
			"Website",
			"OpenDate",
			"ClosedDate",
			"Charter",
			"CharterNum",
			"FundingType",
			"DOC",
			"DOCType",
			"SOC",
			"SOCType",
			"EdOpsCode",
			"EdOpsName",
			"EILCode",
			"EILName",
			"GSoffered",
			"GSserved",
			"Virtual",
			"Magnet",
			"Latitude",
			"Longitude",
			"AdmFName1",
			"AdmLName1",
			"AdmEmail1",
			"AdmFName2",
			"AdmLName2",
			"AdmEmail2",
			"AdmFName3",
			"AdmLName3",
			"AdmEmail3",
			"LastUpdate"
		],
		"questions": [
			"1. What is the distribution of StatusType across the different counties?",
			"2. What is the average Zip code for schools in each state?",
			"3. What is the most common FundingType for schools in each district?",
			"4. What is the average number of GSoffered and GSserved for each school?",
			"5. What is the average Latitude and Longitude for each school?",
			"6. What is the most common EdOpsName for schools in each county?",
			"7. What is the average number of AdmFName1, AdmLName1, and AdmEmail1 for each school?",
			"8. What is the most common MailCity for schools in each state?",
			"9. What is the average number of AdmFName2, AdmLName2, and AdmEmail2 for each school?",
			"10. What is the most common EILName for schools in each district?",
			"11. What is the average number of AdmFName3, AdmLName3, and AdmEmail3 for each school?",
			"12. What is the most common Website for schools in each county?",
			"13. What is the average number of Virtual and Magnet schools in each district?",
			"14. What is the most common OpenDate for schools in each state?",
			"15. What is the average number of ClosedDate for each school?",
			"16. What is the most common CharterNum for schools in each county?",
			"17. What is the average number of DOC and DOCType for each school?",
			"18. What is the most common SOC and SOCType for schools in each district?",
			"19. What is the average number of EdOpsCode and EdOpsName for each school?",
			"20. What is the most common LastUpdate for schools in each state?"
		]
	},
	{
		"database": "cdeschools",
		"table": "frpm",
		"sql": "CREATE TABLE frpm (\n\t\"Academic Year\" VARCHAR(9), \n\t\"County Code\" VARCHAR(4), \n\t\"District Code\" INT(11), \n\t\"School Code\" VARCHAR(7), \n\t\"County Name\" VARCHAR(15), \n\t\"District Name\" VARCHAR(75), \n\t\"School Name\" VARCHAR(85), \n\t\"District Type\" VARCHAR(32), \n\t\"School Type\" VARCHAR(41), \n\t\"Educational Option Type\" VARCHAR(43), \n\t\"NSLP Provision Status\" VARCHAR(24), \n\t\"Charter School (Y/N)\" BOOLEAN, \n\t\"Charter School Number\" VARCHAR(4), \n\t\"Charter Funding Type\" VARCHAR(23), \n\t\"IRC\" BOOLEAN, \n\t\"Low Grade\" VARCHAR(5), \n\t\"High Grade\" VARCHAR(14), \n\t\"Enrollment (K-12)\" FLOAT, \n\t\"Free Meal Count (K-12)\" FLOAT, \n\t\"Percent (%) Eligible Free (K-12)\" FLOAT, \n\t\"FRPM Count (K-12)\" FLOAT, \n\t\"Percent (%) Eligible FRPM (K-12)\" FLOAT, \n\t\"Enrollment (Ages 5-17)\" FLOAT, \n\t\"Free Meal Count (Ages 5-17)\" FLOAT, \n\t\"Percent (%) Eligible Free (Ages 5-17)\" FLOAT, \n\t\"FRPM Count (Ages 5-17)\" FLOAT, \n\t\"Percent (%) Eligible FRPM (Ages 5-17)\" FLOAT, \n\t\"2013-14 CALPADS Fall 1 Certification Status\" BOOLEAN, \n\tCHECK (\"Charter School (Y/N)\" IN (0, 1)), \n\tCHECK (\"IRC\" IN (0, 1)), \n\tCHECK (\"2013-14 CALPADS Fall 1 Certification Status\" IN (0, 1))\n)",
		"col_names": [
			"Academic Year",
			"County Code",
			"District Code",
			"School Code",
			"County Name",
			"District Name",
			"School Name",
			"District Type",
			"School Type",
			"Educational Option Type",
			"NSLP Provision Status",
			"Charter School (Y/N)",
			"Charter School Number",
			"Charter Funding Type",
			"IRC",
			"Low Grade",
			"High Grade",
			"Enrollment (K-12)",
			"Free Meal Count (K-12)",
			"Percent (%) Eligible Free (K-12)",
			"FRPM Count (K-12)",
			"Percent (%) Eligible FRPM (K-12)",
			"Enrollment (Ages 5-17)",
			"Free Meal Count (Ages 5-17)",
			"Percent (%) Eligible Free (Ages 5-17)",
			"FRPM Count (Ages 5-17)",
			"Percent (%) Eligible FRPM (Ages 5-17)",
			"2013-14 CALPADS Fall 1 Certification Status"
		],
		"questions": [
			"1. What is the average enrollment (K-12) for each county?",
			"2. What is the average free meal count (K-12) for each district?",
			"3. What is the average percent (%) eligible free (K-12) for each school?",
			"4. What is the average FRPM count (K-12) for each district type?",
			"5. What is the average percent (%) eligible FRPM (K-12) for each school type?",
			"6. What is the average enrollment (ages 5-17) for each county?",
			"7. What is the average free meal count (ages 5-17) for each district?",
			"8. What is the average percent (%) eligible free (ages 5-17) for each school?",
			"9. What is the average FRPM count (ages 5-17) for each district type?",
			"10. What is the average percent (%) eligible FRPM (ages 5-17) for each school type?",
			"11. What is the average 2013-14 CALPADS Fall 1 Certification Status for each county?",
			"12. What is the average Low Grade for each district?",
			"13. What is the average High Grade for each school?",
			"14. What is the average Educational Option Type for each district type?",
			"15. What is the average NSLP Provision Status for each school type?",
			"16. What is the average Charter School (Y/N) for each county?",
			"17. What is the average Charter School Number for each district?",
			"18. What is the average Charter Funding Type for each school?",
			"19. What is the average IRC for each district type?",
			"20. What is the average Enrollment (K-12) for each Educational Option Type?"
		]
	},
	{
		"database": "cdeschools",
		"table": "satscores",
		"sql": "CREATE TABLE satscores (\n\tcds VARCHAR(14) NOT NULL, \n\trtype VARCHAR(1) NOT NULL, \n\tsname VARCHAR(50), \n\tdname VARCHAR(50), \n\tcname VARCHAR(15), \n\tenroll12 INT(11) NOT NULL, \n\t\"NumTstTakr\" INT(11) NOT NULL, \n\t\"AvgScrRead\" INT(11), \n\t\"AvgScrMath\" INT(11), \n\t\"AvgScrWrite\" INT(11), \n\t\"NumGE1500\" INT(11), \n\t\"PctGE1500\" FLOAT\n)",
		"col_names": [
			"cds",
			"rtype",
			"sname",
			"dname",
			"cname",
			"enroll12",
			"NumTstTakr",
			"AvgScrRead",
			"AvgScrMath",
			"AvgScrWrite",
			"NumGE1500",
			"PctGE1500"
		],
		"questions": [
			"1. What is the average SAT score for each school district?",
			"2. What is the average SAT score for each school?",
			"3. What is the average SAT score for each county?",
			"4. What is the average SAT score for each type of school?",
			"5. What is the average SAT score for schools with enrollment of 12 or more?",
			"6. What is the average SAT score for schools with fewer than 12 students enrolled?",
			"7. What is the average SAT score for schools with the highest number of test takers?",
			"8. What is the average SAT score for schools with the lowest number of test takers?",
			"9. What is the average SAT score for schools with the highest average score in reading?",
			"10. What is the average SAT score for schools with the lowest average score in reading?",
			"11. What is the average SAT score for schools with the highest average score in math?",
			"12. What is the average SAT score for schools with the lowest average score in math?",
			"13. What is the average SAT score for schools with the highest average score in writing?",
			"14. What is the average SAT score for schools with the lowest average score in writing?",
			"15. What is the average SAT score for schools with the highest number of students scoring 1500 or higher?",
			"16. What is the average SAT score for schools with the lowest number of students scoring 1500 or higher?",
			"17. What is the average SAT score for schools with the highest percentage of students scoring 1500 or higher?",
			"18. What is the average SAT score for schools with the lowest percentage of students scoring 1500 or higher?",
			"19. What is the correlation between the number of test takers and the average SAT score?",
			"20. What is the correlation between the enrollment size and the average SAT score?"
		]
	},
	{
		"database": "census2000names",
		"table": "surnames",
		"sql": "CREATE TABLE surnames (\n    year INT(11) NOT NULL, \n    name TEXT, \n    rank INT(11) , \n    count INT(11), \n    prop100k FLOAT, \n    cum_prop100k FLOAT, \n    pctwhite FLOAT, \n    pctblack FLOAT, \n    pctapi FLOAT, \n    pctaian FLOAT, \n    pct2prace FLOAT, \n    pcthispanic FLOAT\n)",
		"col_names": [
			"year",
			"name",
			"rank",
			"count",
			"prop100k",
			"cum_prop100k",
			"pctwhite",
			"pctblack",
			"pctapi",
			"pctaian",
			"pct2prace",
			"pcthispanic"
		],
		"questions": [
			"1. What is the most popular surname in the year 2000?",
			"2. What is the least popular surname in the year 2000?",
			"3. What is the average rank of the surnames in the year 2000?",
			"4. What is the total count of surnames in the year 2000?",
			"5. What is the average proportion of surnames per 100,000 people in the year 2000?",
			"6. What is the cumulative proportion of surnames per 100,000 people in the year 2000?",
			"7. What is the percentage of white surnames in the year 2000?",
			"8. What is the percentage of black surnames in the year 2000?",
			"9. What is the percentage of Asian/Pacific Islander surnames in the year 2000?",
			"10. What is the percentage of American Indian/Alaskan Native surnames in the year 2000?",
			"11. What is the percentage of two or more races surnames in the year 2000?",
			"12. What is the percentage of Hispanic surnames in the year 2000?",
			"13. What is the most popular surname among white people in the year 2000?",
			"14. What is the most popular surname among black people in the year 2000?",
			"15. What is the most popular surname among Asian/Pacific Islander people in the year 2000?",
			"16. What is the most popular surname among American Indian/Alaskan Native people in the year 2000?",
			"17. What is the most popular surname among two or more races people in the year 2000?",
			"18. What is the most popular surname among Hispanic people in the year 2000?",
			"19. What is the average rank of the most popular surnames in the year 2000?",
			"20. What is the average rank of the least popular surnames in the year 2000?"
		]
	},
	{
		"database": "dallas_ois",
		"table": "incidents",
		"sql": "CREATE TABLE incidents (\n    case_number TEXT , \n    date DATE , \n    location TEXT , \n    subject_statuses TEXT , \n    subject_weapon TEXT , \n    subjects TEXT , \n    subject_count INT(11) , \n    officers TEXT , \n    officer_count INT(11) , \n    grand_jury_disposition TEXT, \n    attorney_general_forms_url TEXT, \n    summary_url TEXT, \n    summary_text TEXT, \n    latitude FLOAT, \n    longitude FLOAT\n)",
		"col_names": [
			"case_number",
			"date",
			"location",
			"subject_statuses",
			"subject_weapon",
			"subjects",
			"subject_count",
			"officers",
			"officer_count",
			"grand_jury_disposition",
			"attorney_general_forms_url",
			"summary_url",
			"summary_text",
			"latitude",
			"longitude"
		],
		"questions": [
			"1. What is the average number of subjects involved in Dallas OIS incidents?",
			"2. What is the most common subject status in Dallas OIS incidents?",
			"3. What is the most common weapon used by subjects in Dallas OIS incidents?",
			"4. What is the most common grand jury disposition for Dallas OIS incidents?",
			"5. What is the average number of officers involved in Dallas OIS incidents?",
			"6. What is the most common location for Dallas OIS incidents?",
			"7. What is the average latitude and longitude of Dallas OIS incidents?",
			"8. How many Dallas OIS incidents have an Attorney General Form URL?",
			"9. How many Dallas OIS incidents have a Summary URL?",
			"10. How many Dallas OIS incidents have a Summary Text?",
			"11. What is the earliest date of a Dallas OIS incident?",
			"12. What is the latest date of a Dallas OIS incident?",
			"13. What is the average time between Dallas OIS incidents?",
			"14. What is the most common subject name in Dallas OIS incidents?",
			"15. What is the average number of officers per subject in Dallas OIS incidents?",
			"16. What is the average number of subjects per officer in Dallas OIS incidents?",
			"17. What is the average number of subjects per location in Dallas OIS incidents?",
			"18. What is the average number of officers per location in Dallas OIS incidents?",
			"19. What is the average number of Dallas OIS incidents per month?",
			"20. What is the average number of Dallas OIS incidents per year?"
		]
	},
	{
		"database": "dallas_ois",
		"table": "officers",
		"sql": "CREATE TABLE officers (\n    case_number TEXT , \n    race TEXT, \n    gender TEXT , \n    last_name TEXT , \n    first_name TEXT, \n    full_name TEXT \n)",
		"col_names": [
			"case_number",
			"race",
			"gender",
			"last_name",
			"first_name",
			"full_name"
		],
		"questions": [
			"1. What is the most common race of officers in the Dallas OIS database?",
			"2. What is the gender breakdown of officers in the Dallas OIS database?",
			"3. What is the average age of officers in the Dallas OIS database?",
			"4. How many officers in the Dallas OIS database have the same last name?",
			"5. What is the most common first name among officers in the Dallas OIS database?",
			"6. How many officers in the Dallas OIS database have the same full name?",
			"7. What is the average length of case numbers in the Dallas OIS database?",
			"8. What is the most common race among officers with the same last name?",
			"9. What is the gender breakdown of officers with the same first name?",
			"10. What is the average age of officers with the same full name?",
			"11. How many officers in the Dallas OIS database have the same race?",
			"12. What is the gender breakdown of officers with the same race?",
			"13. What is the average age of officers with the same gender?",
			"14. How many officers in the Dallas OIS database have the same first name?",
			"15. What is the most common race among officers with the same first name?",
			"16. What is the gender breakdown of officers with the same last name?",
			"17. What is the average age of officers with the same race?",
			"18. How many officers in the Dallas OIS database have the same full name?",
			"19. What is the most common race among officers with the same full name?",
			"20. What is the gender breakdown of officers with the same case number?"
		]
	},
	{
		"database": "dallas_ois",
		"table": "subjects",
		"sql": "CREATE TABLE subjects (\n    case_number TEXT , \n    race TEXT, \n    gender TEXT ,\n    last_name TEXT , \n    first_name TEXT, \n    full_name TEXT \n)",
		"col_names": [
			"case_number",
			"race",
			"gender",
			"last_name",
			"first_name",
			"full_name"
		],
		"questions": [
			"1. What is the most common race of subjects in the Dallas OIS database?",
			"2. What is the gender breakdown of subjects in the Dallas OIS database?",
			"3. What is the average age of subjects in the Dallas OIS database?",
			"4. How many cases are associated with each subject in the Dallas OIS database?",
			"5. What is the most common last name of subjects in the Dallas OIS database?",
			"6. What is the most common first name of subjects in the Dallas OIS database?",
			"7. What is the most common full name of subjects in the Dallas OIS database?",
			"8. What is the distribution of race among subjects in the Dallas OIS database?",
			"9. What is the distribution of gender among subjects in the Dallas OIS database?",
			"10. What is the distribution of last names among subjects in the Dallas OIS database?",
			"11. What is the distribution of first names among subjects in the Dallas OIS database?",
			"12. What is the distribution of full names among subjects in the Dallas OIS database?",
			"13. Are there any correlations between race and gender among subjects in the Dallas OIS database?",
			"14. Are there any correlations between race and last name among subjects in the Dallas OIS database?",
			"15. Are there any correlations between gender and last name among subjects in the Dallas OIS database?",
			"16. Are there any correlations between race and first name among subjects in the Dallas OIS database?",
			"17. Are there any correlations between gender and first name among subjects in the Dallas OIS database?",
			"18. Are there any correlations between race and full name among subjects in the Dallas OIS database?",
			"19. Are there any correlations between gender and full name among subjects in the Dallas OIS database?",
			"20. Are there any correlations between case number and race, gender, last name, first name, or full name among subjects in the Dallas OIS database?"
		]
	},
	{
		"database": "acs_1_year_2015",
		"table": "states",
		"sql": "CREATE TABLE states (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT \n)",
		"col_names": [
			"year",
			"name",
			"geo_id",
			"total_population",
			"white",
			"black",
			"hispanic",
			"asian",
			"american_indian",
			"pacific_islander",
			"other_race",
			"median_age",
			"total_households",
			"owner_occupied_homes_median_value",
			"per_capita_income",
			"median_household_income",
			"below_poverty_line",
			"foreign_born_population",
			"state"
		],
		"questions": [
			"1. What is the total population of each state in 2015?",
			"2. What is the median age of each state in 2015?",
			"3. What is the median household income of each state in 2015?",
			"4. What is the median value of owner-occupied homes in each state in 2015?",
			"5. What is the per capita income of each state in 2015?",
			"6. What is the percentage of the population living below the poverty line in each state in 2015?",
			"7. What is the percentage of the population that is foreign-born in each state in 2015?",
			"8. What is the percentage of the population that is white in each state in 2015?",
			"9. What is the percentage of the population that is black in each state in 2015?",
			"10. What is the percentage of the population that is Hispanic in each state in 2015?",
			"11. What is the percentage of the population that is Asian in each state in 2015?",
			"12. What is the percentage of the population that is American Indian in each state in 2015?",
			"13. What is the percentage of the population that is Pacific Islander in each state in 2015?",
			"14. What is the percentage of the population that is of other race in each state in 2015?",
			"15. What is the total number of households in each state in 2015?",
			"16. What is the average median household income for each state in 2015?",
			"17. What is the average median value of owner-occupied homes for each state in 2015?",
			"18. What is the average per capita income for each state in 2015?",
			"19. What is the average percentage of the population living below the poverty line for each state in 2015?",
			"20. What is the average percentage of the population that is foreign-born for each state in 2015?"
		]
	},
	{
		"database": "acs_1_year_2015",
		"table": "congressional_districts",
		"sql": "CREATE TABLE congressional_districts (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT,\n    congressional_district TEXT\n)",
		"col_names": [
			"year",
			"name",
			"geo_id",
			"total_population",
			"white",
			"black",
			"hispanic",
			"asian",
			"american_indian",
			"pacific_islander",
			"other_race",
			"median_age",
			"total_households",
			"owner_occupied_homes_median_value",
			"per_capita_income",
			"median_household_income",
			"below_poverty_line",
			"foreign_born_population",
			"state",
			"congressional_district"
		],
		"questions": [
			"1. What is the median age of people living in each congressional district?",
			"2. What is the median household income for each congressional district?",
			"3. What is the total population of each congressional district?",
			"4. What is the racial breakdown of each congressional district?",
			"5. What is the median value of owner-occupied homes in each congressional district?",
			"6. What is the per capita income for each congressional district?",
			"7. What is the percentage of people living below the poverty line in each congressional district?",
			"8. What is the foreign-born population of each congressional district?",
			"9. What is the median household income for each state?",
			"10. What is the racial breakdown of each state?",
			"11. What is the median value of owner-occupied homes in each state?",
			"12. What is the per capita income for each state?",
			"13. What is the percentage of people living below the poverty line in each state?",
			"14. What is the foreign-born population of each state?",
			"15. What is the median age of people living in each state?",
			"16. What is the total population of each state?",
			"17. What is the median household income for each congressional district compared to the median household income for the state?",
			"18. What is the racial breakdown of each congressional district compared to the racial breakdown of the state?",
			"19. What is the median value of owner-occupied homes in each congressional district compared to the median value of owner-occupied homes in the state?",
			"20. What is the per capita income for each congressional district compared to the per capita income for the state?"
		]
	},
	{
		"database": "acs_1_year_2015",
		"table": "places",
		"sql": "CREATE TABLE places (\n    year INT(11) , \n    name TEXT , \n    geo_id TEXT , \n    total_population INT(11) , \n    white INT(11) , \n    black INT(11) , \n    hispanic INT(11) , \n    asian INT(11) , \n    american_indian INT(11) , \n    pacific_islander INT(11) , \n    other_race INT(11) , \n    median_age FLOAT , \n    total_households INT(11) , \n    owner_occupied_homes_median_value INT(11) , \n    per_capita_income INT(11) , \n    median_household_income INT(11) , \n    below_poverty_line INT(11), \n    foreign_born_population INT(11), \n    state TEXT,\n    place TEXT\n)",
		"col_names": [
			"year",
			"name",
			"geo_id",
			"total_population",
			"white",
			"black",
			"hispanic",
			"asian",
			"american_indian",
			"pacific_islander",
			"other_race",
			"median_age",
			"total_households",
			"owner_occupied_homes_median_value",
			"per_capita_income",
			"median_household_income",
			"below_poverty_line",
			"foreign_born_population",
			"state",
			"place"
		],
		"questions": [
			"1. What is the total population of each state in 2015?",
			"2. What is the median age of each place in 2015?",
			"3. What is the median household income for each place in 2015?",
			"4. What is the median value of owner-occupied homes for each place in 2015?",
			"5. What is the percentage of the population that is foreign-born for each place in 2015?",
			"6. What is the percentage of the population that is below the poverty line for each place in 2015?",
			"7. What is the percentage of the population that is white for each place in 2015?",
			"8. What is the percentage of the population that is black for each place in 2015?",
			"9. What is the percentage of the population that is Hispanic for each place in 2015?",
			"10. What is the percentage of the population that is Asian for each place in 2015?",
			"11. What is the percentage of the population that is American Indian for each place in 2015?",
			"12. What is the percentage of the population that is Pacific Islander for each place in 2015?",
			"13. What is the percentage of the population that is of other race for each place in 2015?",
			"14. What is the per capita income for each place in 2015?",
			"15. What is the median household income for each state in 2015?",
			"16. What is the percentage of the population that is below the poverty line for each state in 2015?",
			"17. What is the median value of owner-occupied homes for each state in 2015?",
			"18. What is the percentage of the population that is foreign-born for each state in 2015?",
			"19. What is the total population of each place in 2015?",
			"20. What is the median age of each state in 2015?"
		]
	}
]