question
string | answer
string | type
string | columns_used
string | column_types
string | sample_answer
string | dataset
string |
|---|---|---|---|---|---|---|
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 2 most common sources of wealth for billionaires.
|
['real estate', 'investments']
|
list[category]
|
['source']
|
['category']
|
['diversified', 'media, automotive']
|
001_Forbes
|
List the 4 cities where the four youngest billionaires live.
|
['', 'Los Angeles', 'Jiaozuo', 'Oslo']
|
list[category]
|
['age', 'city']
|
['number[UInt8]', 'category']
|
['San Francisco', 'New York', 'Wuhan', 'Bangalore']
|
001_Forbes
|
List the 4 categories with the fewest billionaires.
|
['Telecom', 'Logistics', 'Sports', 'Gambling & Casinos']
|
list[category]
|
['category']
|
['category']
|
['Service', 'Fashion & Retail', 'Manufacturing', 'Real Estate']
|
001_Forbes
|
List the 2 countries with the least number of billionaires. If there are more than two with the same number take the first two alphabetically.
|
['Algeria', '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 youngest 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 highest 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 3 fare ranges present in the dataset with the least survivors: (0-50, 50-100, 100-150, 150+)?
|
['50-100', '150+', '100-150']
|
list[category]
|
[Fare, Survived]
|
['number[double]', 'boolean']
|
[0-50, 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?
|
[512.329, 512.329, 512.329, 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? 👶🏻👵🏻']
|
['number[uint8]']
|
True
|
003_Love
|
Are there more single individuals than married ones in the dataset?
|
True
|
boolean
|
['What is your civil status? 💍']
|
['category']
|
False
|
003_Love
|
Do the majority of respondents have a height greater than 170 cm?
|
True
|
boolean
|
[What's your height? in cm 📏]
|
['number[uint8]']
|
True
|
003_Love
|
Is the most frequent hair color black?
|
False
|
boolean
|
['What is your hair color? 👩🦰👱🏽']
|
['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) 💸']
|
['number[UInt32]']
|
62710.0
|
003_Love
|
How many respondents wear glasses all the time?
|
98
|
number
|
['How often do you wear glasses? 👓']
|
['category']
|
5
|
003_Love
|
What's the median age of the respondents?
|
33.0
|
number
|
['What is your age? 👶🏻👵🏻']
|
['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? 🎓']
|
['category']
|
Master
|
003_Love
|
Which body complexity has the least number of respondents?
|
Very thin
|
category
|
['What is your body complexity? 🏋️']
|
['category']
|
Obese
|
003_Love
|
What's the most frequent eye color?
|
Brown
|
category
|
['What is your eye color? 👁️']
|
['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', 'Art & Humanities']
|
003_Love
|
List the bottom 3 hair lengths in terms of frequency.
|
['Medium', 'Long', 'Bald']
|
list[category]
|
['How long is your hair? 💇🏻♀️💇🏽♂️']
|
['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? 💍']
|
['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? 👩🦰👱🏽']
|
['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) 💸']
|
['number[UInt32]']
|
[150000.0, 130000.0, 125000.0, 120000.0]
|
003_Love
|
Name the 3 happiness values for the 3 unhappiest people in the happiness scale.
|
[2, 2, 2]
|
list[number]
|
['Happiness scale']
|
['number[uint8]']
|
[7, 7, 6]
|
003_Love
|
What are the 5 highest ages present in the dataset?
|
[65, 62, 60, 60, 59]
|
list[number]
|
['What is your age? 👶🏻👵🏻']
|
['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 2 most frequent pickup locations?
|
[161, 237]
|
list[category]
|
['PULocationID']
|
['number[uint16]']
|
[163, 161]
|
004_Taxi
|
Name the 4 most common rate codes used.
|
[1, 2, 5, 4]
|
list[category]
|
['RatecodeID']
|
['number[uint8]']
|
[1]
|
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
|
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