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Is the person with the highest net worth self-made? | True | boolean | ['finalWorth', 'selfMade'] | ['number[uint32]', 'boolean'] | False | 001_Forbes |
Does the youngest billionaire identify as male? | True | boolean | ['age', 'gender'] | ['number[UInt8]', 'category'] | True | 001_Forbes |
Is the city with the most billionaires in the United States? | True | boolean | ['city', 'country'] | ['category', 'category'] | True | 001_Forbes |
Is there a non-self-made billionaire in the top 5 ranks? | True | boolean | ['rank', 'selfMade'] | ['number[uint16]', 'boolean'] | False | 001_Forbes |
Does the oldest billionaire have a philanthropy score of 5? | False | boolean | ['age', 'philanthropyScore'] | ['number[UInt8]', 'number[UInt8]'] | False | 001_Forbes |
What is the age of the youngest billionaire? | 19.0 | number | ['age'] | ['number[UInt8]'] | 32.0 | 001_Forbes |
How many billionaires are there from the 'Technology' category? | 343 | number | ['category'] | ['category'] | 0 | 001_Forbes |
What's the total worth of billionaires in the 'Automotive' category? | 583600 | number | ['category', 'finalWorth'] | ['category', 'number[uint32]'] | 0 | 001_Forbes |
How many billionaires have a philanthropy score above 3? | 25 | number | ['philanthropyScore'] | ['number[UInt8]'] | 0 | 001_Forbes |
What's the rank of the wealthiest non-self-made billionaire? | 3 | number | ['selfMade', 'rank'] | ['boolean', 'number[uint16]'] | 288 | 001_Forbes |
Which category does the richest billionaire belong to? | Automotive | category | ['finalWorth', 'category'] | ['number[uint32]', 'category'] | Food & Beverage | 001_Forbes |
What's the country of origin of the oldest billionaire? | United States | category | ['age', 'country'] | ['number[UInt8]', 'category'] | United Kingdom | 001_Forbes |
What's the gender of the billionaire with the highest philanthropy score? | M | category | ['philanthropyScore', 'gender'] | ['number[UInt8]', 'category'] | M | 001_Forbes |
What's the source of wealth for the youngest billionaire? | drugstores | category | ['age', 'source'] | ['number[UInt8]', 'category'] | fintech | 001_Forbes |
What is the title of the billionaire with the lowest rank? | null | category | ['rank', 'title'] | ['number[uint16]', 'category'] | null | 001_Forbes |
List the top 3 countries with the most billionaires. | ['United States', 'China', 'India'] | list[category] | ['country'] | ['category'] | ['United States', 'China', 'Brazil'] | 001_Forbes |
List the top 5 sources of wealth for billionaires. | ['real estate', 'investments', 'pharmaceuticals', 'diversified', 'software'] | list[category] | ['source'] | ['category'] | ['diversified', 'media, automotive', 'Semiconductor materials', 'WeWork', 'beverages'] | 001_Forbes |
List the top 4 cities where the youngest billionaires live. | ['', 'Los Angeles', 'Jiaozuo', 'Oslo'] | list[category] | ['age', 'city'] | ['number[UInt8]', 'category'] | ['San Francisco', 'New York', 'Wuhan', 'Bangalore'] | 001_Forbes |
List the bottom 3 categories with the fewest billionaires. | ['Logistics', 'Sports', 'Gambling & Casinos'] | list[category] | ['category'] | ['category'] | ['Service', 'Fashion & Retail', 'Manufacturing'] | 001_Forbes |
List the bottom 2 countries with the least number of billionaires. | ['Colombia', 'Andorra'] | list[category] | ['country'] | ['category'] | ['Canada', 'Egypt'] | 001_Forbes |
List the top 5 ranks of billionaires who are not self-made. | [3, 10, 14, 16, 18] | list[number] | ['selfMade', 'rank'] | ['boolean', 'number[uint16]'] | [288, 296, 509, 523, 601] | 001_Forbes |
List the bottom 3 ages of billionaires who have a philanthropy score of 5. | [48.0, 83.0, 83.0] | list[number] | ['philanthropyScore', 'age'] | ['number[UInt8]', 'number[UInt8]'] | [] | 001_Forbes |
List the top 6 final worth values of billionaires in the 'Technology' category. | [171000, 129000, 111000, 107000, 106000, 91400] | list[number] | ['category', 'finalWorth'] | ['category', 'number[uint32]'] | [] | 001_Forbes |
List the top 4 ranks of female billionaires. | [14, 18, 21, 30] | list[number] | ['gender', 'rank'] | ['category', 'number[uint16]'] | [] | 001_Forbes |
List the top 2 final worth values of billionaires in the 'Automotive' category. | [219000, 44800] | list[number] | ['category', 'finalWorth'] | ['category', 'number[uint32]'] | [] | 001_Forbes |
Did any children below the age of 18 survive? | True | boolean | [Age, Survived] | ['number[UInt8]', 'boolean'] | True | 002_Titanic |
Were there any passengers who paid a fare of more than $500? | True | boolean | [Fare] | ['number[double]'] | False | 002_Titanic |
Is every passenger's name unique? | True | boolean | [Name] | ['text'] | True | 002_Titanic |
Were there any female passengers in the 3rd class who survived? | True | boolean | [Sex, Pclass, Survived] | ['category', 'number[uint8]', 'boolean'] | True | 002_Titanic |
How many unique passenger classes are present in the dataset? | 3 | number | [Pclass] | ['number[uint8]'] | 3 | 002_Titanic |
What's the maximum age of the passengers? | 80.0 | number | [Age] | ['number[UInt8]'] | 69.0 | 002_Titanic |
How many passengers boarded without any siblings or spouses? | 604 | number | [Siblings_Spouses Aboard] | ['number[uint8]'] | 12 | 002_Titanic |
On average, how much fare did the passengers pay? | 32.31 | number | [Fare] | ['number[double]'] | 23.096459999999997 | 002_Titanic |
Which passenger class has the highest number of survivors? | 1 | category | [Pclass, Survived] | ['number[uint8]', 'boolean'] | 3 | 002_Titanic |
What's the most common gender among the survivors? | female | category | [Sex, Survived] | ['category', 'boolean'] | female | 002_Titanic |
Among those who survived, which fare range was the most common: (0-50, 50-100, 100-150, 150+)? | 0-50 | category | [Fare, Survived] | ['number[double]', 'boolean'] | 0-50 | 002_Titanic |
What's the most common age range among passengers: (0-18, 18-30, 30-50, 50+)? | 18-30 | category | [Age] | ['number[UInt8]'] | 18-30 | 002_Titanic |
Name the top 3 passenger classes by survival rate. | [1, 2, 3] | list[category] | [Pclass, Survived] | ['number[uint8]', 'boolean'] | [1, 3, 2] | 002_Titanic |
Could you list the lower 3 fare ranges by number of survivors: (0-50, 50-100, 100-150, 150+)? | ['50-100', '150+', '100-150'] | list[category] | [Fare, Survived] | ['number[double]', 'boolean'] | [50-100, 150+, 100-150] | 002_Titanic |
What are the top 4 age ranges('30-50', '18-30', '0-18', '50+') with the highest number of survivors? | ['30-50', '18-30', '0-18', '50+'] | list[category] | [Age, Survived] | ['number[UInt8]', 'boolean'] | [30-50, 18-30, 0-18, 50+] | 002_Titanic |
What are the top 2 genders by average fare paid? | ['female', 'male'] | list[category] | [Sex, Fare] | ['category', 'number[double]'] | [female, male] | 002_Titanic |
What are the oldest 3 ages among the survivors? | [80, 63, 63] | list[number] | [Age, Survived] | ['number[UInt8]', 'boolean'] | [56.0, 47.0, 42.0] | 002_Titanic |
Which are the top 4 fares paid by survivors? | [512.239, 512.239, 512.239, 263] | list[number] | [Fare, Survived] | ['number[double]', 'boolean'] | [133.65, 39.0, 35.5, 30.5] | 002_Titanic |
Could you list the youngest 3 ages among the survivors? | [1, 1, 1] | list[number] | [Age, Survived] | ['number[UInt8]', 'boolean'] | [14.0, 24.0, 28.0] | 002_Titanic |
Which are the lowest 4 fares among those who didn't survive? | [0, 0, 0, 0] | list[number] | [Fare, Survived] | ['number[double]', 'boolean'] | [0.0, 7.22, 7.75, 8.05] | 002_Titanic |
Is the average age of the respondents above 30? | True | boolean | ['What is your age? πΆπ»π΅π»'] | ['number[uint8]'] | True | 003_Love |
Are there more single individuals than married ones in the dataset? | True | boolean | ['What is your civil status? π'] | ['category'] | False | 003_Love |
Do the majority of respondents have a height greater than 170 cm? | True | boolean | [What's your height? in cm π] | ['number[uint8]'] | True | 003_Love |
Is the most frequent hair color black? | False | boolean | ['What is your hair color? π©π¦°π±π½'] | ['category'] | False | 003_Love |
How many unique nationalities are present in the dataset? | 13 | number | [What's your nationality?"]" | ['category'] | 1 | 003_Love |
What is the average gross annual salary? | 56332.81720430108 | number | ['Gross annual salary (in euros) πΈ'] | ['number[UInt32]'] | 62710.0 | 003_Love |
How many respondents wear glasses all the time? | 98 | number | ['How often do you wear glasses? π'] | ['category'] | 5 | 003_Love |
What's the median age of the respondents? | 33.0 | number | ['What is your age? πΆπ»π΅π»'] | ['number[uint8]'] | 32.5 | 003_Love |
What is the most common level of studies achieved? | Master | category | ['What is the maximum level of studies you have achieved? π'] | ['category'] | Master | 003_Love |
Which body complexity has the least number of respondents? | Very thin | category | ['What is your body complexity? ποΈ'] | ['category'] | Obese | 003_Love |
What's the most frequent eye color? | Brown | category | ['What is your eye color? ποΈ'] | ['category'] | Brown | 003_Love |
Which sexual orientation has the highest representation? | Heterosexual | category | ['What's your sexual orientation?'] | ['category'] | Heterosexual | 003_Love |
List the top 3 most common areas of knowledge. | ['[Computer Science]', '[Business]', '[Enginering & Architecture]'] | list[category] | ['What area of knowledge is closer to you?'] | ['list[category]'] | ['[Computer Science]', '[Business]', '[Enginering & Architecture]'] | 003_Love |
List the bottom 3 hair lengths in terms of frequency. | ['Medium', 'Long', 'Bald'] | list[category] | ['How long is your hair? ππ»βοΈππ½βοΈ'] | ['category'] | ['Short', 'Medium', 'Long'] | 003_Love |
Name the top 5 civil statuses represented in the dataset. | ['Single', 'Married', 'In a Relationship', 'In a Relationship Cohabiting', 'Divorced'] | list[category] | ['What is your civil status? π'] | ['category'] | ['Married', 'In a Relationship', 'In a Relationship Cohabiting', 'Single', 'Divorced'] | 003_Love |
What are the 4 least common hair colors? | ['Red', 'Other', 'White', 'Blue'] | list[category] | ['What is your hair color? π©π¦°π±π½'] | ['category'] | ['Brown', 'Black'] | 003_Love |
What are the top 4 maximum gross annual salaries? | [500000.0, 360000.0, 300000.0, 300000.0] | list[number] | ['Gross annual salary (in euros) πΈ'] | ['number[UInt32]'] | [150000.0, 130000.0, 125000.0, 120000.0] | 003_Love |
Name the bottom 3 values for the happiness scale. | [2, 2, 2] | list[number] | ['Happiness scale'] | ['number[uint8]'] | [7, 10, 6] | 003_Love |
What are the 5 highest ages present in the dataset? | [65, 62, 60, 60, 59] | list[number] | ['What is your age? πΆπ»π΅π»'] | ['number[uint8]'] | [65, 60, 51, 50, 50] | 003_Love |
List the bottom 6 skin tone values based on frequency. | [2, 1, 6, 0, 7, 8] | list[number] | ['What is your skin tone?'] | ['number[uint8]'] | [3, 1, 6, 2, 7, 0] | 003_Love |
Are there any trips with a total distance greater than 30 miles? | False | boolean | ['trip_distance'] | ['number[double]'] | False | 004_Taxi |
Were there any trips that cost more than $100 in total? | False | boolean | ['total_amount'] | ['number[double]'] | False | 004_Taxi |
Is there any trip with more than 6 passengers? | False | boolean | ['passenger_count'] | ['number[uint8]'] | False | 004_Taxi |
Did all the trips use a payment type of either 1 or 2? | False | boolean | ['payment_type'] | ['number[uint8]'] | True | 004_Taxi |
What is the maximum fare amount charged for a trip? | 75.25 | number | ['fare_amount'] | ['number[double]'] | 40.8 | 004_Taxi |
How many unique pickup locations are in the dataset? | 96 | number | ['PULocationID'] | ['number[uint16]'] | 18 | 004_Taxi |
What is the average tip amount given by passengers? | 2.74 | number | ['tip_amount'] | ['number[double]'] | 1.5 | 004_Taxi |
How many trips took place in the airport area? | 99807 | number | ['Airport_fee'] | ['number[UInt8]'] | 0 | 004_Taxi |
Which payment type is the most common in the dataset? | 1 | category | ['payment_type'] | ['number[uint8]'] | 1 | 004_Taxi |
Which vendor has the most trips recorded? | 2 | category | ['VendorID'] | ['number[uint8]'] | 2 | 004_Taxi |
What is the most common drop-off location? | 236 | category | ['DOLocationID'] | ['number[uint16]'] | 90 | 004_Taxi |
On which date did the first recorded trip occur? | 2023-01-31 | category | ['tpep_pickup_datetime'] | ['date[ns, UTC]'] | 2023-02-01 | 004_Taxi |
Which are the top 3 most frequent pickup locations? | [161, 237, 236] | list[category] | ['PULocationID'] | ['number[uint16]'] | [237, 236, 161] | 004_Taxi |
Name the 4 most common rate codes used. | [1, 2, 5, 4] | list[category] | ['RatecodeID'] | ['number[uint8]'] | [1, 2, 5, 3] | 004_Taxi |
list the 2 most frequent store and forward flags. | ['N', 'Y'] | list[category] | ['store_and_fwd_flag'] | ['category'] | ['N', 'Y'] | 004_Taxi |
Identify the top 4 payment types used by frequency | [1, 2, 4, 3] | list[category] | ['payment_type'] | ['number[uint8]'] | [1, 2, 3] | 004_Taxi |
Report the 4 highest toll amounts paid. | [0, 0, 0, 0] | list[number] | ['tolls_amount'] | ['number[uint8]'] | [0, 0, 0, 0] | 004_Taxi |
list the top 3 longest trip distances | [19.83, 19.74, 19.68] | list[number] | ['trip_distance'] | ['number[double]'] | [8.32,
5.93,
2.8] | 004_Taxi |
Identify the 5 largest total amounts paid for trips. | [80.0, 80.0, 80.0, 80.0, 80.0] | list[number] | ['total_amount'] | ['number[double]'] | [45.8,
39.9,
33.2,
25.2,
24.87] | 004_Taxi |
Report the 6 highest fare amounts charged. | [75.25, 74.4, 73.0, 73.0, 73.0, 73.0] | list[number] | ['fare_amount'] | ['number[double]'] | [40.8,
28.9,
21.2,
17.0,
14.9,
13.5] | 004_Taxi |
Are there any complaints made in Brooklyn? | True | boolean | ['borough'] | ['category'] | True | 005_NYC |
Do any complaints have 'Dog' as a descriptor? | True | boolean | ['descriptor'] | ['category'] | False | 005_NYC |
Were there any complaints raised in April? | True | boolean | ['month_name'] | ['category'] | True | 005_NYC |
Is the Mayor's office of special enforcement one of the agencies handling complaints? | True | boolean | ['agency'] | ['category'] | False | 005_NYC |
How many complaints have been made in Queens? | 23110 | number | ['borough'] | ['category'] | 0 | 005_NYC |
What's the total number of unique agencies handling complaints? | 22 | number | ['agency'] | ['category'] | 7 | 005_NYC |
How many complaints were raised at midnight? | 14811 | number | ['hour'] | ['number[uint8]'] | 2 | 005_NYC |
How many unique descriptors are present in the dataset? | 1131 | number | ['descriptor'] | ['category'] | 16 | 005_NYC |
Which borough has the most complaints? | BROOKLYN | category | ['borough'] | ['category'] | QUEENS | 005_NYC |
Which month sees the highest number of complaints? | July | category | ['month_name'] | ['category'] | January | 005_NYC |
Which weekday has the least complaints? | Sunday | category | ['weekday_name'] | ['category'] | Thursday | 005_NYC |
Which agency is least frequently handling complaints? | ACS | category | ['agency'] | ['category'] | DOHMH | 005_NYC |
List the top 5 most frequent complaint types. | ['Noise - Residential', 'HEAT/HOT WATER', 'Illegal Parking', 'Blocked Driveway', 'Street Condition'] | list[category] | ['complaint_type'] | ['category'] | [HEAT/HOT WATER, Building/Use, Noise - Residential, General Construction/Plumbing, Air Quality] | 005_NYC |
Which 4 agencies handle the most complaints? | ['NYPD', 'HPD', 'DOT', 'DSNY'] | list[category] | ['agency'] | ['category'] | [NYPD, HPD, DOB, DSNY] | 005_NYC |
Name the 2 least frequent descriptors for complaints by inverse alphabetical order. | ['Booting Company', 'Ready NY - Businesses', 'Animal'] | list[category] | ['descriptor'] | ['category'] | ['Structure - Outdoors, Air: Odor/Fumes', 'Restaurant (AD2)', '12 Dead Animals'] | 005_NYC |