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Update the device type for ID 103 to 'Apple Watch' | CREATE TABLE wearables (member_id INT,device_type VARCHAR(50),heart_rate INT); | UPDATE wearables SET device_type = 'Apple Watch' WHERE member_id = 103; |
What is the total number of schools rebuilt in Haiti and the number of classrooms in those schools? | CREATE TABLE schools (id INT,country VARCHAR(255),name VARCHAR(255),classrooms INT); INSERT INTO schools (id,country,name,classrooms) VALUES (1,'Haiti','School 1',5),(2,'Haiti','School 2',6); | SELECT country, SUM(classrooms) FROM schools GROUP BY country; |
Insert a new record of military equipment sale | CREATE TABLE sales (id INT,year INT,country VARCHAR(255),equipment_type VARCHAR(255),revenue FLOAT); | INSERT INTO sales (id, year, country, equipment_type, revenue) VALUES (2, 2021, 'Canada', 'Naval Vessels', 12000000); |
What is the total CO2 emission for each mine in the last 6 months? | CREATE TABLE mine (id INT,name TEXT,location TEXT); INSERT INTO mine (id,name,location) VALUES (1,'Mine G','Country T'),(2,'Mine H','Country S'); CREATE TABLE environmental_impact (mine_id INT,co2_emission INT,timestamp TIMESTAMP); INSERT INTO environmental_impact (mine_id,co2_emission,timestamp) VALUES (1,1000,'2023-01-01 00:00:00'),(2,1500,'2023-01-01 00:00:00'); | SELECT mine_id, SUM(co2_emission) as total_emission FROM environmental_impact WHERE timestamp >= DATEADD(month, -6, CURRENT_TIMESTAMP) GROUP BY mine_id; |
Insert a new vessel 'Mystic Turtle' with type 'Cruise' into the Vessels table. | CREATE TABLE Vessels (ID INT,Name VARCHAR(50),Type VARCHAR(50)); | INSERT INTO Vessels (ID, Name, Type) VALUES (4, 'Mystic Turtle', 'Cruise'); |
What is the average calorie count per meal for vegetarian dishes? | CREATE TABLE Cuisines (CuisineID INT,CuisineType VARCHAR(50)); CREATE TABLE Meals (MealID INT,CuisineID INT,MealName VARCHAR(50),CalorieCount INT,IsVegetarian BIT); INSERT INTO Cuisines (CuisineID,CuisineType) VALUES (1,'American'),(2,'Italian'); INSERT INTO Meals (MealID,CuisineID,MealName,CalorieCount,IsVegetarian) VALUES (1,1,'Classic Burger',550,0),(2,1,'Turkey Sandwich',700,0),(3,2,'Margherita Pizza',800,1),(4,2,'Spaghetti Bolognese',1000,0); | SELECT CuisineType, AVG(CalorieCount) as avg_calories FROM Cuisines C JOIN Meals M ON C.CuisineID = M.CuisineID WHERE IsVegetarian = 1 GROUP BY CuisineType; |
How many public awareness campaigns were launched in each year in the 'campaigns' schema? | CREATE TABLE campaigns (campaign_id INT,launch_date DATE); INSERT INTO campaigns (campaign_id,launch_date) VALUES (1,'2019-01-01'),(2,'2020-05-15'),(3,'2018-12-31'),(4,'2021-03-20'); | SELECT EXTRACT(YEAR FROM launch_date) AS year, COUNT(*) AS campaigns_launched FROM campaigns GROUP BY year; |
List all mines with their environmental impact score | CREATE TABLE mine (id INT,name TEXT,location TEXT,environmental_impact_score INT); INSERT INTO mine VALUES (1,'Mine A','Country A',60); INSERT INTO mine VALUES (2,'Mine B','Country B',75); INSERT INTO mine VALUES (3,'Mine C','Country C',45); | SELECT name, environmental_impact_score FROM mine; |
How many news stories were published about climate change in the last month? | CREATE TABLE news_story (news_story_id INT,publication_date DATE,topic VARCHAR(50)); INSERT INTO news_story (news_story_id,publication_date,topic) VALUES (1,'2023-01-01','Climate Change'),(2,'2023-02-01','Politics'),(3,'2023-03-01','Climate Change'); | SELECT COUNT(*) as num_stories FROM news_story WHERE topic = 'Climate Change' AND publication_date >= CURDATE() - INTERVAL 1 MONTH; |
Show the total number of space missions and total number of satellites? | CREATE TABLE space_missions (mission_id INT,name VARCHAR(100),launch_date DATE); INSERT INTO space_missions (mission_id,name,launch_date) VALUES (1,'Luna 1','1959-01-02'),(2,'Apollo 11','1969-07-16'); CREATE TABLE satellites (satellite_id INT,name VARCHAR(100),owner_country VARCHAR(50)); INSERT INTO satellites (satellite_id,name,owner_country) VALUES (1,'GPS Satellite','USA'),(2,'Beidou Satellite','China'); | SELECT (SELECT COUNT(*) FROM space_missions) AS total_missions, (SELECT COUNT(*) FROM satellites) AS total_satellites; |
What is the total number of defense contracts awarded to companies in California between 2018 and 2020? | CREATE TABLE DefenseContracts (id INT,contractor VARCHAR(255),state VARCHAR(255),year INT,contract_value INT); INSERT INTO DefenseContracts (id,contractor,state,year,contract_value) VALUES (1,'ABC Corp','California',2018,100000),(2,'XYZ Inc','Texas',2018,200000),(3,'DEF LLC','California',2019,300000),(4,'ABC Corp','California',2019,400000),(5,'XYZ Inc','Texas',2019,500000),(6,'DEF LLC','California',2020,600000); | SELECT contractor, SUM(contract_value) FROM DefenseContracts WHERE state = 'California' AND year BETWEEN 2018 AND 2020 GROUP BY contractor; |
What is the average energy efficiency rating of Green buildings in 'Region J' for each building type? | CREATE TABLE GreenBuildings (BuildingID INT,BuildingType VARCHAR(255),Region VARCHAR(255),EnergyEfficiencyRating FLOAT); INSERT INTO GreenBuildings (BuildingID,BuildingType,Region,EnergyEfficiencyRating) VALUES (1,'Residential','Region J',85.0); | SELECT BuildingType, AVG(EnergyEfficiencyRating) FROM GreenBuildings WHERE Region = 'Region J' GROUP BY BuildingType; |
What is the policy number, coverage type, and effective date for policies with a sum insured greater than $500,000? | CREATE TABLE Policy (PolicyNumber INT,CoverageType VARCHAR(50),SumInsured INT,EffectiveDate DATE); INSERT INTO Policy (PolicyNumber,CoverageType,SumInsured,EffectiveDate) VALUES (1,'Home',700000,'2020-01-01'); INSERT INTO Policy (PolicyNumber,CoverageType,SumInsured,EffectiveDate) VALUES (2,'Auto',300000,'2019-05-15'); | SELECT PolicyNumber, CoverageType, EffectiveDate FROM Policy WHERE SumInsured > 500000; |
What is the order ID and delivery time for the 90th percentile delivery time for each courier in the 'courier_performances' view, ordered by the 90th percentile delivery time? | CREATE VIEW courier_performances AS SELECT courier_id,order_id,delivery_time,PERCENTILE_CONT(0.9) WITHIN GROUP (ORDER BY delivery_time) OVER (PARTITION BY courier_id) as pct_90 FROM orders; | SELECT courier_id, order_id, delivery_time FROM courier_performances WHERE pct_90 = delivery_time ORDER BY delivery_time; |
List all cybersecurity incidents in Europe and the corresponding incident response time in 2021 and 2022. | CREATE TABLE CybersecurityIncidents (id INT,incident_name VARCHAR(255),incident_date DATE,country VARCHAR(255)); INSERT INTO CybersecurityIncidents (id,incident_name,incident_date,country) VALUES (1,'Incident A','2021-01-01','France'),(2,'Incident B','2021-02-15','Germany'),(3,'Incident C','2022-03-03','UK'); CREATE TABLE ResponseTimes (incident_id INT,response_time INT); INSERT INTO ResponseTimes (incident_id,response_time) VALUES (1,4),(2,6),(3,5); | SELECT i.incident_name, i.country, r.response_time FROM CybersecurityIncidents i INNER JOIN ResponseTimes r ON i.id = r.incident_id WHERE i.country IN ('France', 'Germany', 'UK') AND i.incident_date BETWEEN '2021-01-01' AND '2022-12-31' ORDER BY i.incident_date; |
What is the total number of military equipment sales in the second half of the year 2022? | CREATE TABLE military_equipment_sales (id INT,sale_date DATE,quantity INT); INSERT INTO military_equipment_sales (id,sale_date,quantity) VALUES (1,'2022-01-01',500),(2,'2022-02-01',600),(3,'2022-07-01',700),(4,'2022-08-01',800); | SELECT SUM(quantity) FROM military_equipment_sales WHERE sale_date BETWEEN '2022-07-01' AND '2022-12-31'; |
What is the average safety rating for Mexican restaurants? | CREATE TABLE Restaurants (id INT,name VARCHAR(50),type VARCHAR(20),safety_rating INT); INSERT INTO Restaurants (id,name,type,safety_rating) VALUES (1,'Green Garden','Vegan',5); INSERT INTO Restaurants (id,name,type,safety_rating) VALUES (2,'Bistro Bella','Italian',4); INSERT INTO Restaurants (id,name,type,safety_rating) VALUES (3,'Taqueria Tina','Mexican',5); INSERT INTO Restaurants (id,name,type,safety_rating) VALUES (4,'Sushi Bar','Asian',4); | SELECT AVG(safety_rating) FROM Restaurants WHERE type LIKE '%Mexican%'; |
How many male patients with chronic conditions live in New York? | CREATE TABLE Patients (PatientID INT,Gender TEXT,ChronicConditions TEXT,State TEXT); INSERT INTO Patients (PatientID,Gender,ChronicConditions,State) VALUES (1,'Male','Diabetes','New York'); | SELECT COUNT(*) FROM Patients WHERE Gender = 'Male' AND ChronicConditions IS NOT NULL AND State = 'New York'; |
Update the aircraft_manufacturing table to set the status of all records with manufacturer 'Airbus' to 'In Production' | CREATE TABLE aircraft_manufacturing (id INT,aircraft_name VARCHAR(255),manufacturer VARCHAR(255),manufacturing_date DATE,status VARCHAR(255)); | UPDATE aircraft_manufacturing SET status = 'In Production' WHERE manufacturer = 'Airbus'; |
What is the maximum checking account balance in the Miami branch? | CREATE TABLE accounts (customer_id INT,account_type VARCHAR(20),branch VARCHAR(20),balance DECIMAL(10,2)); INSERT INTO accounts (customer_id,account_type,branch,balance) VALUES (1,'Savings','New York',5000.00),(2,'Checking','New York',7000.00),(3,'Checking','Miami',9000.00),(4,'Savings','Miami',4000.00); | SELECT MAX(balance) FROM accounts WHERE account_type = 'Checking' AND branch = 'Miami'; |
What was the total sales revenue for the top 3 drugs in 2020? | CREATE SCHEMA sales;CREATE TABLE sales.drugs (id INT,name VARCHAR(50));CREATE TABLE sales.sales_data (drug_id INT,year INT,revenue DECIMAL(10,2)); INSERT INTO sales.drugs (id,name) VALUES (1,'DrugA'),(2,'DrugB'),(3,'DrugC'),(4,'DrugD'); INSERT INTO sales.sales_data (drug_id,year,revenue) VALUES (1,2020,12000000),(1,2019,11000000),(2,2020,15000000),(2,2019,13000000),(3,2020,10000000),(3,2019,9000000),(4,2020,8000000),(4,2019,7000000); | SELECT d.name, SUM(sd.revenue) FROM sales.sales_data sd JOIN sales.drugs d ON sd.drug_id = d.id WHERE sd.year = 2020 GROUP BY d.name ORDER BY SUM(sd.revenue) DESC LIMIT 3; |
Find the difference in the number of public universities between New York and Texas. | CREATE TABLE universities (name VARCHAR(255),state VARCHAR(255)); INSERT INTO universities (name,state) VALUES ('University1','New York'),('University2','New York'),('University3','Texas'); | SELECT (SELECT COUNT(*) FROM universities WHERE state = 'New York') - (SELECT COUNT(*) FROM universities WHERE state = 'Texas'); |
Who are the attorneys with cases in New York? | CREATE TABLE cases (id INT,attorney_id INT,state VARCHAR(2)); INSERT INTO cases (id,attorney_id,state) VALUES (1,1001,'NY'),(2,1001,'CA'),(3,1002,'TX'); CREATE TABLE attorneys (id INT,name VARCHAR(50)); INSERT INTO attorneys (id,name) VALUES (1001,'John Doe'),(1002,'Jane Smith'); | SELECT a.name FROM attorneys a INNER JOIN cases c ON a.id = c.attorney_id WHERE c.state = 'NY'; |
Display the total network investments made in 'rural' areas for mobile and broadband networks separately, and the difference between the two. | CREATE TABLE MobileInvestments (Area varchar(10),Investment int,Service varchar(10)); CREATE TABLE BroadbandInvestments (Area varchar(10),Investment int,Service varchar(10)); INSERT INTO MobileInvestments (Area,Investment,Service) VALUES ('North',100000,'mobile'),('South',120000,'mobile'),('rural',85000,'mobile'),('East',75000,'mobile'); INSERT INTO BroadbandInvestments (Area,Investment,Service) VALUES ('North',90000,'broadband'),('South',110000,'broadband'),('rural',90000,'broadband'),('East',80000,'broadband'); | SELECT SUM(CASE WHEN Area = 'rural' AND Service = 'mobile' THEN Investment ELSE 0 END) AS RuralMobile, SUM(CASE WHEN Area = 'rural' AND Service = 'broadband' THEN Investment ELSE 0 END) AS RuralBroadband, RuralMobile - RuralBroadband AS InvestmentDifference FROM MobileInvestments MI JOIN BroadbandInvestments BI ON 1=1 WHERE MI.Service = BI.Service; |
Update the budget allocation for public transportation services in urban areas by 10%. | CREATE TABLE transportation (area VARCHAR(20),service_type VARCHAR(50),budget_allocation FLOAT); INSERT INTO transportation (area,service_type,budget_allocation) VALUES ('urban','public_transportation',2000000),('rural','public_transportation',1500000); | UPDATE transportation SET budget_allocation = budget_allocation * 1.1 WHERE area = 'urban' AND service_type = 'public_transportation'; |
What is the percentage of female faculty members in the School of Business? | CREATE TABLE faculty_members (id INT,faculty_name VARCHAR(50),faculty_department VARCHAR(50),faculty_gender VARCHAR(10)); INSERT INTO faculty_members (id,faculty_name,faculty_department,faculty_gender) VALUES (1,'Jane Smith','Management','Female'),(2,'John Doe','Marketing','Male'),(3,'Bob Johnson','Finance','Male'),(4,'Sara Davis','Accounting','Female'),(5,'Mike Brown','Economics','Male'); | SELECT (COUNT(*) FILTER (WHERE faculty_gender = 'Female')) * 100.0 / COUNT(*) FROM faculty_members WHERE faculty_department LIKE '%Business%'; |
List eSports teams with the highest number of players | CREATE TABLE teams (id INT,region VARCHAR(10),players INT); INSERT INTO teams (id,region,players) VALUES (1,'Europe',50); INSERT INTO teams (id,region,players) VALUES (2,'Asia',75); INSERT INTO teams (id,region,players) VALUES (3,'America',100); | SELECT id, region, players FROM teams ORDER BY players DESC LIMIT 1; |
What is the total number of emergency calls in each neighborhood? | CREATE TABLE neighborhoods (name VARCHAR(255),zip_code VARCHAR(10)); INSERT INTO neighborhoods (name,zip_code) VALUES ('Central Park','10022'),('Harlem','10026'),('Brooklyn Heights','11201'); CREATE TABLE emergency_calls (id INT,neighborhood VARCHAR(255),call_time TIMESTAMP); INSERT INTO emergency_calls (id,neighborhood,call_time) VALUES (1,'Central Park','2022-01-01 12:00:00'),(2,'Harlem','2022-01-02 13:00:00'),(3,'Brooklyn Heights','2022-01-03 14:00:00'); | SELECT neighborhood, COUNT(*) as total_calls FROM emergency_calls GROUP BY neighborhood; |
Update the name of the satellite with ID 456 to "Hubble". | CREATE TABLE satellites (id INT,name VARCHAR(255),country_of_origin VARCHAR(255),avg_distance FLOAT); | UPDATE satellites SET name = 'Hubble' WHERE id = 456; |
List the names of all non-profits and the number of capacity building activities they have conducted in the last year. | CREATE TABLE non_profit (id INT,name TEXT); INSERT INTO non_profit (id,name) VALUES (1,'Habitat for Humanity'),(2,'American Red Cross'),(3,'Doctors Without Borders'); CREATE TABLE capacity_building (id INT,non_profit_id INT,activity_date DATE); INSERT INTO capacity_building (id,non_profit_id,activity_date) VALUES (1,3,'2021-05-12'),(2,1,'2022-03-15'),(3,2,'2021-12-28'),(4,1,'2020-08-07'),(5,3,'2021-01-02'); | SELECT n.name, COUNT(cb.id) as num_activities FROM non_profit n INNER JOIN capacity_building cb ON n.id = cb.non_profit_id WHERE cb.activity_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR) GROUP BY n.id; |
How many animal species inhabit the forests in the 'wildlife' table? | CREATE TABLE wildlife (id INT,forest_id INT,species VARCHAR(50)); | SELECT COUNT(DISTINCT species) FROM wildlife; |
What is the total number of military innovation projects in the Americas that have a budget over $10 million? | CREATE TABLE Military_Innovation (Nation VARCHAR(50),Continent VARCHAR(50),Project VARCHAR(50),Budget DECIMAL(10,2)); INSERT INTO Military_Innovation (Nation,Continent,Project,Budget) VALUES ('USA','Americas','Stealth Drone Project',15000000.00),('Brazil','Americas','Cyber Defense System',12000000.00); | SELECT SUM(Budget) FROM Military_Innovation WHERE Continent = 'Americas' AND Budget > 10000000; |
What is the maximum number of refugees supported by a single refugee support project in South America? | CREATE TABLE projects (id INT,name TEXT,category TEXT,location TEXT,num_refugees INT,start_date DATE,end_date DATE); INSERT INTO projects (id,name,category,location,num_refugees,start_date,end_date) VALUES (1,'Refugee Support Project','Refugee','South America',150,'2019-01-01','2019-12-31'),(2,'Disaster Relief Project','Disaster','Asia',50,'2019-01-01','2020-12-31'),(3,'Community Development Project','Community','Africa',200,'2018-01-01','2018-12-31'); | SELECT MAX(num_refugees) FROM projects WHERE category = 'Refugee' AND location = 'South America'; |
What is the release date of the earliest song by artists who have released songs on both the 'indie_platform' and 'mainstream_platform' platforms? | CREATE TABLE artist (artist_id INT,artist_name VARCHAR(50)); INSERT INTO artist (artist_id,artist_name) VALUES (1,'Artist A'),(2,'Artist B'); CREATE TABLE song (song_id INT,song_name VARCHAR(50),artist_id INT,platform VARCHAR(20),release_date DATE); INSERT INTO song (song_id,song_name,artist_id,platform,release_date) VALUES (1,'Song 1',1,'indie_platform','2020-01-01'),(2,'Song 2',2,'mainstream_platform','2019-01-01'),(3,'Song 3',1,'mainstream_platform','2021-01-01'); | SELECT MIN(s.release_date) FROM song s JOIN (SELECT artist_id FROM song WHERE platform = 'indie_platform' INTERSECT SELECT artist_id FROM song WHERE platform = 'mainstream_platform') sub ON s.artist_id = sub.artist_id; |
Which donors have donated the most in the last 6 months? | CREATE TABLE Donations (DonorID INT,DonationDate DATE,DonationAmount DECIMAL(10,2)); CREATE TABLE Donors (DonorID INT,DonorName VARCHAR(50)); | SELECT d.DonorName, SUM(d.DonationAmount) FROM Donations d JOIN Donors don ON d.DonorID = don.DonorID WHERE d.DonationDate >= DATEADD(month, -6, GETDATE()) GROUP BY d.DonorID, don.DonorName ORDER BY SUM(d.DonationAmount) DESC; |
What is the minimum sale price for properties in each borough? | CREATE TABLE Boroughs (BoroughID INT,BoroughName VARCHAR(255)); CREATE TABLE Properties (PropertyID INT,BoroughID INT,SalePrice DECIMAL(10,2)); | SELECT B.BoroughName, MIN(P.SalePrice) as MinSalePrice FROM Boroughs B JOIN Properties P ON B.BoroughID = P.BoroughID GROUP BY B.BoroughName; |
How many vessels were involved in maritime safety incidents in the Atlantic Ocean in 2018? | CREATE TABLE maritime_safety_incidents (id INT,vessels INT,year INT,region VARCHAR(255)); INSERT INTO maritime_safety_incidents (id,vessels,year,region) VALUES (1,3,2018,'Atlantic'); INSERT INTO maritime_safety_incidents (id,vessels,year,region) VALUES (2,5,2018,'Atlantic'); | SELECT SUM(vessels) FROM maritime_safety_incidents WHERE region = 'Atlantic' AND year = 2018; |
What is the maximum fare collected on a single day? | CREATE TABLE daily_fare_collection (collection_id INT,collection_date DATE,fare_amount DECIMAL); INSERT INTO daily_fare_collection (collection_id,collection_date,fare_amount) VALUES (1,'2023-03-01',12000.00),(2,'2023-03-02',15000.00),(3,'2023-03-03',11000.00); | SELECT collection_date, MAX(fare_amount) AS max_daily_fare FROM daily_fare_collection GROUP BY collection_date; |
What is the life expectancy in Southeast Asian countries in 2022? | CREATE TABLE LifeExpectancy (Country VARCHAR(50),Continent VARCHAR(50),Year INT,LifeExp DECIMAL(3,1)); INSERT INTO LifeExpectancy (Country,Continent,Year,LifeExp) VALUES ('Thailand','Southeast Asia',2022,76.7),('Vietnam','Southeast Asia',2022,75.9),('Cambodia','Southeast Asia',2022,70.6); | SELECT LifeExp FROM LifeExpectancy WHERE Continent = 'Southeast Asia' AND Year = 2022; |
List all teachers who have led a professional development workshop in the 'teacher_development' schema | CREATE SCHEMA teacher_development; CREATE TABLE teacher_development.workshops (workshop_id INT,teacher_id INT); CREATE TABLE teacher_development.teachers (teacher_id INT,name VARCHAR(50)); INSERT INTO teacher_development.teachers (teacher_id,name) VALUES (1001,'Alice Johnson'),(1002,'Bob Williams'); INSERT INTO teacher_development.workshops (workshop_id,teacher_id) VALUES (201,1001),(202,1002),(203,1001); | SELECT name FROM teacher_development.teachers WHERE teacher_id IN (SELECT teacher_id FROM teacher_development.workshops); |
What is the minimum cargo weight and the number of voyages for vessels with 'OOCL' prefix in the Atlantic Ocean in 2018? | CREATE TABLE Vessels (ID INT,Name TEXT,Cargo_Weight INT,Voyages INT,Prefix TEXT,Year INT);CREATE VIEW Atlantic_Ocean_Vessels AS SELECT * FROM Vessels WHERE Region = 'Atlantic Ocean'; | SELECT MIN(Cargo_Weight), SUM(Voyages) FROM Atlantic_Ocean_Vessels WHERE Prefix = 'OOCL' AND Year = 2018; |
What is the total volume of timber harvested in each country in 2020, sorted in descending order by total volume? | CREATE TABLE forests (id INT,country VARCHAR(50),year INT,volume FLOAT); INSERT INTO forests (id,country,year,volume) VALUES (1,'Canada',2020,50.5),(2,'USA',2020,40.3),(3,'China',2020,35.7),(4,'Russia',2020,30.1); | SELECT country, SUM(volume) AS total_volume FROM forests WHERE year = 2020 GROUP BY country ORDER BY total_volume DESC; |
What is the number of containers loaded and unloaded at port 'LA' in the 'port_operations' table? | CREATE TABLE port_operations (id INT,port VARCHAR(50),operation_type VARCHAR(50),container_count INT); INSERT INTO port_operations (id,port,operation_type,container_count) VALUES (1,'LA','Load',200),(2,'LA','Unload',150),(3,'NY','Load',300),(4,'NY','Unload',250); | SELECT SUM(container_count) FROM port_operations WHERE port = 'LA'; |
What is the average age of female soccer players in the WPSL? | CREATE TABLE players (id INT,name VARCHAR(50),age INT,gender VARCHAR(10),sport VARCHAR(20));INSERT INTO players (id,name,age,gender,sport) VALUES (1,'Alice',25,'Female','Soccer'); INSERT INTO players (id,name,age,gender,sport) VALUES (2,'Bella',30,'Female','Soccer'); | SELECT AVG(age) FROM players WHERE gender = 'Female' AND sport = 'Soccer'; |
List all companies that have a female founder and have raised a Series A round | CREATE TABLE company_founding(id INT PRIMARY KEY,company_name VARCHAR(100),founder_gender VARCHAR(10)); CREATE TABLE investment_rounds(id INT PRIMARY KEY,company_id INT,round_type VARCHAR(50),funding_amount INT); INSERT INTO company_founding VALUES (1,'Acme Inc','Female'); INSERT INTO company_founding VALUES (2,'Beta Corp','Male'); INSERT INTO company_founding VALUES (3,'Charlie LLC','Female'); INSERT INTO investment_rounds VALUES (1,1,'Seed',100000); INSERT INTO investment_rounds VALUES (2,1,'Series A',2000000); INSERT INTO investment_rounds VALUES (3,3,'Series B',5000000); INSERT INTO investment_rounds VALUES (4,3,'Series A',3000000); | SELECT cf.company_name FROM company_founding cf INNER JOIN investment_rounds ir ON cf.id = ir.company_id WHERE ir.round_type = 'Series A' AND cf.founder_gender = 'Female'; |
What is the total number of open civic data sets in 'city' and 'state' schemas? | CREATE SCHEMA city; CREATE SCHEMA state; CREATE TABLE city.civic_data (id INT,name VARCHAR(255),is_open BOOLEAN); CREATE TABLE state.civic_data (id INT,name VARCHAR(255),is_open BOOLEAN); INSERT INTO city.civic_data (id,name,is_open) VALUES (1,'traffic',true),(2,'crime',false); INSERT INTO state.civic_data (id,name,is_open) VALUES (1,'education',true),(2,'healthcare',true); | SELECT COUNT(*) FROM ( (SELECT * FROM city.civic_data WHERE is_open = true) UNION (SELECT * FROM state.civic_data WHERE is_open = true) ) AS combined_civic_data; |
How many primary school children visited the museum last year from France? | CREATE TABLE museum_visitors (id INT,age INT,country VARCHAR(255)); INSERT INTO museum_visitors (id,age,country) VALUES (1,8,'France'),(2,10,'Germany'),(3,6,'France'); | SELECT COUNT(*) FROM museum_visitors WHERE age BETWEEN 6 AND 11 AND country = 'France'; |
What is the average gross tonnage of vessels per port, ordered by the highest average? | CREATE TABLE Port (PortID INT,PortName VARCHAR(100),City VARCHAR(100),Country VARCHAR(100)); INSERT INTO Port (PortID,PortName,City,Country) VALUES (1,'Port of Los Angeles','Los Angeles','USA'); INSERT INTO Port (PortID,PortName,City,Country) VALUES (2,'Port of Rotterdam','Rotterdam','Netherlands'); CREATE TABLE Vessel (VesselID INT,VesselName VARCHAR(100),PortID INT,LOA DECIMAL(5,2),GrossTonnage DECIMAL(5,2)); INSERT INTO Vessel (VesselID,VesselName,PortID,LOA,GrossTonnage) VALUES (1,'Ever Given',1,400.00,220000.00); INSERT INTO Vessel (VesselID,VesselName,PortID,LOA,GrossTonnage) VALUES (2,'MSC Zoe',2,399.99,199672.00); | SELECT PortID, AVG(GrossTonnage) OVER(PARTITION BY PortID ORDER BY PortID) AS AvgGT FROM Vessel ORDER BY AvgGT DESC |
List all spacecraft with manufacturing country and launch date. | CREATE TABLE spacecraft (spacecraft_id INT,name VARCHAR(50),manufacturing_country VARCHAR(50),launch_date DATE); | SELECT name, manufacturing_country, launch_date FROM spacecraft; |
Identify the defense contracts awarded to companies located in New York and New Jersey with an amount between $250,000 and $750,000, and their respective award dates. | CREATE TABLE defense_contracts(id INT,company VARCHAR(50),amount INT,award_date DATE); | SELECT company, amount, award_date FROM defense_contracts WHERE state IN ('New York', 'New Jersey') AND amount BETWEEN 250000 AND 750000; |
What is the average number of points scored per game by each basketball player in the last season? | CREATE TABLE games (id INT,game_date DATE,team VARCHAR(20)); CREATE TABLE points (id INT,game_id INT,player VARCHAR(20),points INT); | SELECT team, player, AVG(points) FROM points JOIN games ON points.game_id = games.id WHERE games.game_date >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR) AND games.team = 'Boston Celtics' GROUP BY team, player; |
Which military vehicles have the highest and lowest average price by manufacturer? | CREATE TABLE VehiclePrices (id INT PRIMARY KEY,manufacturer VARCHAR(50),vehicle_type VARCHAR(50),price DECIMAL(10,2)); INSERT INTO VehiclePrices (id,manufacturer,vehicle_type,price) VALUES (1,'Lockheed Martin','F-35 Fighter Jet',100000000.00),(2,'General Dynamics','M1 Abrams Tank',8000000.00),(3,'Boeing','V-22 Osprey',70000000.00); | SELECT manufacturer, vehicle_type, MAX(price) as max_price, MIN(price) as min_price FROM VehiclePrices GROUP BY manufacturer; |
Find the average price of non-GMO items in the inventory. | CREATE TABLE Inventory(item_id INT,item_name VARCHAR(50),is_non_gmo BOOLEAN,price DECIMAL(5,2)); INSERT INTO Inventory VALUES(1,'Apples',TRUE,0.99),(2,'Bananas',TRUE,1.49),(3,'Corn',FALSE,1.25); | SELECT AVG(price) FROM Inventory WHERE is_non_gmo = TRUE; |
Which authors have published the most articles in a specific language? | CREATE TABLE articles (author VARCHAR(50),article_language VARCHAR(50),article_title VARCHAR(100),publication_date DATE); INSERT INTO articles (author,article_language,article_title,publication_date) VALUES ('Sofia Garcia','Spanish','Article 1','2021-01-01'); INSERT INTO articles (author,article_language,article_title,publication_date) VALUES ('Carlos Lopez','Spanish','Article 2','2021-01-02'); INSERT INTO articles (author,article_language,article_title,publication_date) VALUES ('John Doe','English','Article 3','2021-01-03'); | SELECT author, COUNT(*) as article_count FROM articles WHERE article_language = 'Spanish' GROUP BY author ORDER BY article_count DESC; |
What is the total value of artwork for each artist? | CREATE TABLE Artists (ArtistID INT,Name VARCHAR(100),Nationality VARCHAR(50)); INSERT INTO Artists VALUES (1,'Pablo Picasso','Spanish'); INSERT INTO Artists VALUES (2,'Henri Matisse','French'); CREATE TABLE Artwork (ArtworkID INT,Title VARCHAR(100),Type VARCHAR(50),Price FLOAT,ArtistID INT); INSERT INTO Artwork VALUES (1,'Guernica','Painting',2000000,1); INSERT INTO Artwork VALUES (2,'The Dance','Painting',1500000,2); INSERT INTO Artwork VALUES (3,'Three Musicians','Painting',1000000,1); | SELECT AR.Name, SUM(A.Price) FROM Artwork A JOIN Artists AR ON A.ArtistID = AR.ArtistID GROUP BY AR.Name; |
How many socially responsible loans were issued by region in the country in 2021? | CREATE TABLE socially_responsible_loans_2021 (region TEXT,num_loans INTEGER,loan_date DATE); INSERT INTO socially_responsible_loans_2021 (region,num_loans,loan_date) VALUES ('North',200,'2021-04-01'),('South',300,'2021-02-15'),('East',150,'2021-06-20'); | SELECT region, SUM(num_loans) FROM socially_responsible_loans_2021 GROUP BY region; |
What is the total number of goals scored by Messi and Ronaldo in their club careers? | CREATE TABLE careers (player VARCHAR(100),team VARCHAR(100),goals INT); INSERT INTO careers (player,team,goals) VALUES ('Lionel Messi','Barcelona',672),('Cristiano Ronaldo','Real Madrid',450); | SELECT SUM(goals) FROM careers WHERE player IN ('Lionel Messi', 'Cristiano Ronaldo'); |
What is the average age of healthcare workers by location in the "healthcare_workers" table? | CREATE TABLE healthcare_workers (id INT,name VARCHAR(50),age INT,gender VARCHAR(10),location VARCHAR(50)); INSERT INTO healthcare_workers (id,name,age,gender,location) VALUES (1,'John Doe',35,'Male','New York'); INSERT INTO healthcare_workers (id,name,age,gender,location) VALUES (2,'Jane Smith',32,'Female','California'); | SELECT location, AVG(age) FROM healthcare_workers GROUP BY location; |
How many sustainable materials have been used in production since 2020? | CREATE TABLE materials (material_id INT,material_sustainable BOOLEAN,material_purchase_date DATE); | SELECT COUNT(*) AS sustainable_material_count FROM materials WHERE material_sustainable = TRUE AND material_purchase_date >= '2020-01-01' |
What is the average water consumption per capita in the cities of Lima and Santiago for the year 2020? | CREATE TABLE south_america_population (id INT,city VARCHAR(50),population INT,year INT); INSERT INTO south_america_population (id,city,population,year) VALUES (1,'Lima',10000000,2020); INSERT INTO south_america_population (id,city,population,year) VALUES (2,'Santiago',8000000,2020); CREATE TABLE south_america_water_consumption (id INT,city VARCHAR(50),water_consumption FLOAT,year INT); INSERT INTO south_america_water_consumption (id,city,water_consumption,year) VALUES (1,'Lima',500000000,2020); INSERT INTO south_america_water_consumption (id,city,water_consumption,year) VALUES (2,'Santiago',400000000,2020); | SELECT AVG(sawc.water_consumption / sap.population) FROM south_america_water_consumption sawc INNER JOIN south_america_population sap ON sawc.city = sap.city WHERE sawc.year = 2020; |
Show the average gas content for all reservoirs in field 'F-01' | CREATE TABLE reservoirs (reservoir_id INT,reservoir_name VARCHAR(255),field_name VARCHAR(255),oil_grade VARCHAR(255),gas_content FLOAT); | SELECT AVG(gas_content) FROM reservoirs WHERE field_name = 'F-01'; |
Display the number of employees and total salary expenses for companies with more than 50 employees in the manufacturing industry. | CREATE TABLE companies (company_id INT,name TEXT,industry TEXT,num_employees INT); INSERT INTO companies (company_id,name,industry,num_employees) VALUES (1,'GreenTech','Manufacturing',75),(2,'EcoPlants','Manufacturing',35),(3,'BlueFactory','Retail',200),(4,'GreenBuild','Manufacturing',60); CREATE TABLE salaries (employee_id INT,company_id INT,salary INT); INSERT INTO salaries (employee_id,company_id,salary) VALUES (1,1,5000),(2,1,5500),(3,1,6000),(4,2,4000),(5,2,4500),(6,3,7000),(7,3,7500),(8,4,5000),(9,4,5500),(10,4,6000); | SELECT c.name, SUM(s.salary) AS total_salary_expense FROM companies c INNER JOIN salaries s ON c.company_id = s.company_id WHERE c.industry = 'Manufacturing' GROUP BY c.company_id HAVING COUNT(s.employee_id) > 50; |
Count of active platforms in the South China Sea. | CREATE TABLE platforms (id INT,location VARCHAR(50),status VARCHAR(50)); INSERT INTO platforms (id,location,status) VALUES (1,'South China Sea','Active'); | SELECT COUNT(*) FROM platforms WHERE location = 'South China Sea' AND status = 'Active'; |
Find the percentage of people who identify as LGBTQ+ in each county, ordered from the highest to lowest? | CREATE TABLE lgbtq_data (id INT,county TEXT,lgbtq INT,population INT); INSERT INTO lgbtq_data (id,county,lgbtq,population) VALUES (1,'County A',200,10000),(2,'County B',300,20000); | SELECT county, (SUM(lgbtq) OVER (PARTITION BY county)) * 100.0 / SUM(population) OVER (PARTITION BY county) as pct_lgbtq FROM lgbtq_data ORDER BY pct_lgbtq DESC; |
Which states have the highest and lowest average mental health scores for teachers? | CREATE TABLE teacher_mental_health (teacher_id INT,state VARCHAR(50),score INT); INSERT INTO teacher_mental_health (teacher_id,state,score) VALUES (1,'California',75),(2,'Texas',80),(3,'California',70); | SELECT state, AVG(score) as avg_score FROM teacher_mental_health GROUP BY state ORDER BY avg_score DESC LIMIT 1; |
Find the top 3 states with the highest number of rural hospitals. | CREATE TABLE hospitals (id INT,state CHAR(2),num_beds INT,rural_hospital BOOLEAN); INSERT INTO hospitals (id,state,num_beds,rural_hospital) VALUES (1,'TX',50,true),(2,'CA',100,false); | SELECT state, ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) as rank FROM hospitals WHERE rural_hospital = true GROUP BY state LIMIT 3; |
Which sports have the highest average ticket sales and the lowest average ticket sales? | CREATE TABLE ticket_sales_data (sport VARCHAR(20),ticket_sales INT); | SELECT sport, AVG(ticket_sales) AS avg_sales FROM ticket_sales_data GROUP BY sport ORDER BY avg_sales DESC, sport LIMIT 2; SELECT sport, AVG(ticket_sales) AS avg_sales FROM ticket_sales_data GROUP BY sport ORDER BY avg_sales ASC, sport LIMIT 1; |
What is the total preference score for each product in the Europe region? | CREATE TABLE consumer_preferences (id INT,consumer_id INT,product_id INT,preference_score INT,country VARCHAR(50)); INSERT INTO consumer_preferences (id,consumer_id,product_id,preference_score,country) VALUES (1,1,101,8,'Asia-Pacific'),(2,2,102,9,'Asia-Pacific'),(3,3,101,7,'Asia-Pacific'),(4,4,103,10,'Asia-Pacific'),(5,5,102,8,'Asia-Pacific'),(6,6,101,9,'Europe'),(7,7,102,8,'Europe'),(8,8,103,7,'Europe'); | SELECT product_id, SUM(preference_score) as total_score FROM consumer_preferences WHERE country = 'Europe' GROUP BY product_id; |
Update the number of beds to 75 in the record with the name 'Eureka Community Hospital' in the 'rural_hospitals' table | CREATE TABLE rural_hospitals (id INT,name VARCHAR(50),beds INT,location VARCHAR(50)); | UPDATE rural_hospitals SET beds = 75 WHERE name = 'Eureka Community Hospital'; |
What is the distribution of financial literacy scores for customers in Texas? | CREATE TABLE customers (customer_id INT,name VARCHAR(255),state VARCHAR(255),financial_literacy_score INT); | SELECT state, COUNT(*) as count, MIN(financial_literacy_score) as min_score, AVG(financial_literacy_score) as avg_score, MAX(financial_literacy_score) as max_score FROM customers WHERE state = 'Texas' GROUP BY state; |
How many esports events have been held in each country, and what is the maximum number of events held in a country? | CREATE TABLE EsportsEvents (id INT,name VARCHAR(50),country VARCHAR(50),num_events INT); INSERT INTO EsportsEvents (id,name,country,num_events) VALUES (1,'Event1','USA',2),(2,'Event2','Canada',3),(3,'Event3','USA',5); | SELECT country, COUNT(*) AS num_events, MAX(num_events) AS max_events_per_country FROM EsportsEvents GROUP BY country; |
What is the average heart rate for users with a 'standard' membership type during their strength training workouts? | CREATE TABLE memberships (user_id INT,membership_type VARCHAR(10)); CREATE TABLE workouts (workout_id INT,user_id INT,workout_type VARCHAR(20),heart_rate INT); | SELECT AVG(heart_rate) FROM workouts JOIN memberships ON workouts.user_id = memberships.user_id WHERE memberships.membership_type = 'standard' AND workout_type = 'strength training'; |
Delete all posts from users who have a privacy setting of 'low' | CREATE TABLE posts (id INT,user_id INT,post_text TEXT); CREATE TABLE users (id INT,privacy_setting VARCHAR(20)); INSERT INTO users (id,privacy_setting) VALUES (1,'medium'),(2,'high'),(3,'low'); INSERT INTO posts (id,user_id,post_text) VALUES (1,1,'Hello World!'),(2,2,'Goodbye World!'),(3,3,'This is a private post.'); | DELETE t1 FROM posts t1 JOIN users t2 ON t1.user_id = t2.id WHERE t2.privacy_setting = 'low'; |
Add a new social enterprise in the 'Housing' category with an ESG rating of 9.0 and a risk score of 1.8 | CREATE TABLE social_enterprises (id INT,category TEXT,ESG_rating FLOAT,risk_score FLOAT); | INSERT INTO social_enterprises (id, category, ESG_rating, risk_score) VALUES (7, 'Housing', 9.0, 1.8); |
Update the gender of a player with a given ID | CREATE TABLE Players (PlayerID INT PRIMARY KEY,Name VARCHAR(50),Age INT,Gender VARCHAR(10)); INSERT INTO Players (PlayerID,Name,Age,Gender) VALUES (1,'John Doe',25,'Male'); INSERT INTO Players (PlayerID,Name,Age,Gender) VALUES (2,'Jane Doe',30,'Female'); | UPDATE Players SET Gender = 'Non-binary' WHERE PlayerID = 1; |
What is the total billing amount for cases handled by attorneys named 'John Smith'? | CREATE TABLE attorneys (attorney_id INT,name TEXT); INSERT INTO attorneys (attorney_id,name) VALUES (1,'John Smith'),(2,'Jane Smith'),(3,'Bob Johnson'); CREATE TABLE cases (case_id INT,attorney_id INT,billing_amount INT); INSERT INTO cases (case_id,attorney_id,billing_amount) VALUES (1,1,5000),(2,1,7000),(3,2,6000); | SELECT SUM(billing_amount) FROM cases WHERE attorney_id IN (SELECT attorney_id FROM attorneys WHERE name = 'John Smith') |
Find the intersection of open data sets related to diversity in 'state', 'county', and 'city' schemas. | CREATE SCHEMA state; CREATE SCHEMA county; CREATE SCHEMA city; CREATE TABLE state.diversity_data (id INT,name VARCHAR(255),is_open BOOLEAN); CREATE TABLE county.diversity_data (id INT,name VARCHAR(255),is_open BOOLEAN); CREATE TABLE city.diversity_data (id INT,name VARCHAR(255),is_open BOOLEAN); INSERT INTO state.diversity_data (id,name,is_open) VALUES (1,'population',true),(2,'workforce',true); INSERT INTO county.diversity_data (id,name,is_open) VALUES (1,'population',true),(2,'workforce',true); INSERT INTO city.diversity_data (id,name,is_open) VALUES (1,'population',true),(2,'workforce',true),(3,'elected_officials',true); | SELECT * FROM ( (SELECT * FROM state.diversity_data WHERE is_open = true) INTERSECT (SELECT * FROM county.diversity_data WHERE is_open = true) INTERSECT (SELECT * FROM city.diversity_data WHERE is_open = true) ) AS intersected_data; |
How many marine species are present in each ocean basin? | CREATE TABLE marine_species (id INT,species_name TEXT,ocean_basin TEXT); | SELECT species_name, ocean_basin, COUNT(*) FROM marine_species GROUP BY ocean_basin; |
What was the total military spending by NATO countries in 2020? | CREATE SCHEMA if not exists military_spending;CREATE TABLE if not exists military_spending_data(country text,military_spending integer,year integer);INSERT INTO military_spending_data(country,military_spending,year) VALUES('United States',732,2020),('United Kingdom',60,2020),('France',50,2020),('Germany',45,2020),('Italy',25,2020),('Canada',22,2020); | SELECT SUM(military_spending) FROM military_spending_data WHERE country IN ('United States', 'United Kingdom', 'France', 'Germany', 'Italy', 'Canada') AND year = 2020; |
Insert a new row in the smart_contracts table with name 'Sushiswap' if it doesn't exist. | CREATE TABLE if not exists smart_contracts (id INT PRIMARY KEY,name TEXT,language TEXT,version TEXT); INSERT INTO smart_contracts (id,name,language,version) VALUES (1,'CryptoKitties','Solidity','0.4.24'); | INSERT INTO smart_contracts (name, language, version) SELECT 'Sushiswap', 'Vyper', '0.3.0' WHERE NOT EXISTS (SELECT * FROM smart_contracts WHERE name = 'Sushiswap'); |
How many socially responsible loans were issued by financial institutions in Europe? | CREATE TABLE financial_institutions (institution_id INT,institution_name TEXT); INSERT INTO financial_institutions (institution_id,institution_name) VALUES (1,'GreenBank Europe'),(2,'FairFinance Europe'),(3,'EthicalBank Europe'); CREATE TABLE loans (loan_id INT,institution_id INT,loan_type TEXT); INSERT INTO loans (loan_id,institution_id,loan_type) VALUES (1,1,'socially responsible'),(2,1,'conventional'),(3,2,'socially responsible'),(4,2,'socially responsible'),(5,3,'conventional'); | SELECT COUNT(*) FROM loans WHERE loan_type = 'socially responsible' AND institution_id IN (SELECT institution_id FROM financial_institutions WHERE institution_name LIKE '%Europe%'); |
Determine the percentage of female and male faculty members in the College of Business and Management, for each rank, and order the results by rank. | CREATE TABLE FacultyDemographics (id INT,name VARCHAR(255),rank VARCHAR(255),department VARCHAR(255),gender VARCHAR(10)); | SELECT rank, gender, COUNT(*) as count, ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (PARTITION BY rank), 2) as percentage FROM FacultyDemographics WHERE department LIKE 'Business%' GROUP BY rank, gender ORDER BY rank; |
List producers with a production volume greater than 1500 | CREATE TABLE producers (id INT PRIMARY KEY,name VARCHAR(255),location VARCHAR(255),production_volume INT); | SELECT name FROM producers WHERE production_volume > (SELECT 1500); |
Calculate the number of transactions and total revenue from Dysprosium sales by each supplier in Asia, for 2019. | CREATE TABLE transactions (id INT,supplier VARCHAR(50),Dysprosium_sold FLOAT,revenue FLOAT,datetime DATETIME); INSERT INTO transactions (id,supplier,Dysprosium_sold,revenue,datetime) VALUES (1,'China National Nuke',150.0,2500.0,'2019-01-01 10:00:00'),(2,'Korea Resource',200.0,3000.0,'2019-01-15 14:30:00'); | SELECT supplier, COUNT(DISTINCT id) AS transactions, SUM(revenue) AS total_revenue FROM transactions WHERE YEAR(datetime) = 2019 AND supplier LIKE 'Asia%' GROUP BY supplier; |
What are the production figures for the 'Girassol' field for the year 2019? | CREATE TABLE field_production (field VARCHAR(50),year INT,oil_production FLOAT,gas_production FLOAT); INSERT INTO field_production (field,year,oil_production,gas_production) VALUES ('Girassol',2019,1234.5,678.9); | SELECT year, oil_production, gas_production FROM field_production WHERE field = 'Girassol'; |
What is the average age of attendees who attended 'Theater for All' and 'Music for Everyone' events? | CREATE TABLE EventAttendance (event_name VARCHAR(255),attendee_age INT,attendee_gender VARCHAR(50)); INSERT INTO EventAttendance (event_name,attendee_age,attendee_gender) VALUES ('Theater for All',30,'Male'),('Theater for All',40,'Female'),('Theater for All',45,'Non-binary'),('Music for Everyone',22,'Male'),('Music for Everyone',27,'Female'),('Music for Everyone',32,'Non-binary'); | SELECT AVG(attendee_age) FROM EventAttendance WHERE event_name IN ('Theater for All', 'Music for Everyone'); |
Which community development initiatives have the lowest and highest economic diversification impact? | CREATE TABLE initiative (id INT,name TEXT,location TEXT,economic_diversification_impact INT); INSERT INTO initiative (id,name,location,economic_diversification_impact) VALUES (1,'Handicraft Training','Bangladesh',50),(2,'Agricultural Training','Pakistan',70),(3,'IT Training','Nepal',90),(4,'Fishery Training','Sri Lanka',60); | SELECT name, economic_diversification_impact FROM (SELECT name, economic_diversification_impact, RANK() OVER (ORDER BY economic_diversification_impact ASC) as low_rank, RANK() OVER (ORDER BY economic_diversification_impact DESC) as high_rank FROM initiative) sub WHERE low_rank = 1 OR high_rank = 1; |
What are the details of projects that have received funding for climate change mitigation in Brazil? | CREATE TABLE climate_mitigation_projects (id INT,name VARCHAR(255),location VARCHAR(255),funding FLOAT); INSERT INTO climate_mitigation_projects (id,name,location,funding) VALUES (1,'Project A','Brazil',5000000); | SELECT * FROM climate_mitigation_projects WHERE location = 'Brazil'; |
Delete the energy storage system with id 4 if it exists. | CREATE TABLE energy_storage (id INT,name TEXT,capacity FLOAT,region TEXT); INSERT INTO energy_storage (id,name,capacity,region) VALUES (4,'GHI Battery',4000,'East'); | DELETE FROM energy_storage WHERE id = 4; |
List the top 5 socially responsible lenders in the US by total loans issued? | CREATE TABLE socially_responsible_lending (lender_name TEXT,total_loans_issued NUMERIC,country TEXT); INSERT INTO socially_responsible_lending (lender_name,total_loans_issued,country) VALUES ('Amalgamated Bank',3456,'USA'); INSERT INTO socially_responsible_lending (lender_name,total_loans_issued,country) VALUES ('Beneficial State Bank',2678,'USA'); | SELECT lender_name, total_loans_issued FROM socially_responsible_lending WHERE country = 'USA' ORDER BY total_loans_issued DESC LIMIT 5; |
What is the minimum flight hours for aircrafts manufactured by Airbus? | CREATE TABLE FlightSafety(id INT,aircraft_id INT,manufacturer VARCHAR(255),flight_hours INT); INSERT INTO FlightSafety(id,aircraft_id,manufacturer,flight_hours) VALUES (1,1001,'Boeing',12000),(2,1002,'Airbus',10500),(3,1003,'Boeing',18000),(4,1004,'Airbus',12000),(5,1005,'Airbus',11000); | SELECT MIN(flight_hours) FROM FlightSafety WHERE manufacturer = 'Airbus'; |
List the stations with a passenger count greater than 1000, based on the 'passenger_counts' table. | CREATE TABLE passenger_counts (station VARCHAR(255),passenger_count INT); | SELECT station FROM passenger_counts WHERE passenger_count > 1000; |
What is the average CO2 emission of tours in Germany? | CREATE TABLE tours (id INT,name TEXT,country TEXT,co2_emission FLOAT); INSERT INTO tours (id,name,country,co2_emission) VALUES (1,'Tour A','Germany',2.5),(2,'Tour B','Germany',3.2); | SELECT AVG(co2_emission) FROM tours WHERE country = 'Germany'; |
How many 4-star food safety inspections were there in Los Angeles? | CREATE TABLE Inspections (id INT,restaurant_id INT,location VARCHAR(50),rating INT); INSERT INTO Inspections (id,restaurant_id,location,rating) VALUES (1,1,'New York',5); INSERT INTO Inspections (id,restaurant_id,location,rating) VALUES (2,2,'Los Angeles',3); INSERT INTO Inspections (id,restaurant_id,location,rating) VALUES (3,3,'Los Angeles',4); | SELECT COUNT(*) FROM Inspections WHERE location = 'Los Angeles' AND rating = 4; |
how many wildlife habitats are there in each region? | CREATE TABLE wildlife_habitats (id INT,region VARCHAR(255),habitat_type VARCHAR(255)); | SELECT region, COUNT(DISTINCT id) as num_habitats FROM wildlife_habitats GROUP BY region; |
Find the total hectares of forests in Africa with koala populations. | CREATE TABLE forests (id INT PRIMARY KEY,name VARCHAR(50),country VARCHAR(50),hectares DECIMAL(10,2)); CREATE TABLE animals (id INT PRIMARY KEY,species VARCHAR(50),population INT,forest_id INT,FOREIGN KEY (forest_id) REFERENCES forests(id)); INSERT INTO forests (id,name,country,hectares) VALUES (1,'Savannah Forest','Africa',300000.00); INSERT INTO animals (id,species,population,forest_id) VALUES (1,'Koala',20,1); | SELECT SUM(hectares) FROM forests INNER JOIN animals ON forests.id = animals.forest_id WHERE forests.country = 'Africa' AND animals.species = 'Koala'; |
What is the average number of new species discovered per deep-sea expedition in the last 5 years? | CREATE TABLE deep_sea_expeditions (expedition_name TEXT,year INT,new_species_discovered INT); INSERT INTO deep_sea_expeditions (expedition_name,year,new_species_discovered) VALUES ('Mariana Trench Exploration',2017,32),('Atlantic Canyons Expedition',2018,28),('Arctic Ocean Exploration',2019,15); | SELECT AVG(new_species_discovered) FROM deep_sea_expeditions WHERE year >= 2017; |
What is the average risk score for policyholders living in rural areas? | CREATE TABLE UnderwritingData (PolicyholderID INT,Smoker BOOLEAN,VehicleYear INT,HouseLocation VARCHAR(25)); INSERT INTO UnderwritingData (PolicyholderID,Smoker,VehicleYear,HouseLocation) VALUES (1,True,2015,'Urban'); INSERT INTO UnderwritingData (PolicyholderID,Smoker,VehicleYear,HouseLocation) VALUES (2,False,2018,'Rural');CREATE TABLE RiskAssessment (PolicyholderID INT PRIMARY KEY,RiskScore INT); INSERT INTO RiskAssessment (PolicyholderID,RiskScore) VALUES (1,50); INSERT INTO RiskAssessment (PolicyholderID,RiskScore) VALUES (2,30); | SELECT AVG(RiskScore) FROM RiskAssessment WHERE PolicyholderID IN (SELECT PolicyholderID FROM UnderwritingData WHERE HouseLocation = 'Rural'); |
What is the number of climate adaptation projects in South America for each year? | CREATE TABLE ClimateAdaptationProjects (project_id INT,project_name VARCHAR(50),continent VARCHAR(50),year INT); INSERT INTO ClimateAdaptationProjects (project_id,project_name,continent,year) VALUES (1,'Coastal Protection','South America',2020),(2,'Drought Resistance','South America',2021); | SELECT continent, year, COUNT(*) as num_projects FROM ClimateAdaptationProjects WHERE continent = 'South America' GROUP BY continent, year; |
Delete a record of a marine species from the 'marine_species' table | CREATE TABLE marine_species (id INT PRIMARY KEY,species_name VARCHAR(255),conservation_status VARCHAR(255)); | DELETE FROM marine_species WHERE species_name = 'Green Sea Turtle'; |
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