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What are the different types of military satellites operated by the US and China?
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CREATE TABLE MilitarySatellites (Country VARCHAR(255),Type VARCHAR(255)); INSERT INTO MilitarySatellites (Country,Type) VALUES ('USA','Communications Satellite'),('USA','Surveillance Satellite'),('China','Communications Satellite'),('China','Reconnaissance Satellite');
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SELECT Type FROM MilitarySatellites WHERE Country IN ('USA', 'China');
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What was the total construction cost for each infrastructure project in 2020?
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CREATE TABLE InfrastructureProjects (Id INT,Name VARCHAR(255),Location VARCHAR(255),ConstructionCost FLOAT,Year INT); INSERT INTO InfrastructureProjects (Id,Name,Location,ConstructionCost,Year) VALUES (1,'Dam','City A',5000000,2020),(2,'Bridge','City B',2000000,2019),(3,'Road','City C',1500000,2020);
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SELECT Location, SUM(ConstructionCost) as TotalCost FROM InfrastructureProjects WHERE Year = 2020 GROUP BY Location;
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Select all trends with a popularity score greater than 0.85
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CREATE TABLE fashion_trends (trend_id INT PRIMARY KEY,trend_name VARCHAR(100),popularity_score FLOAT,season VARCHAR(20)); INSERT INTO fashion_trends (trend_id,trend_name,popularity_score,season) VALUES (1,'Boho Chic',0.85,'Spring'),(2,'Minimalist',0.9,'Winter'),(3,'Vintage',0.8,'Autumn');
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SELECT * FROM fashion_trends WHERE popularity_score > 0.85;
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What is the total billing amount for cases handled by attorney Johnson?
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CREATE TABLE cases (case_id INT,attorney_name VARCHAR(255),billing_amount FLOAT); INSERT INTO cases (case_id,attorney_name,billing_amount) VALUES (1,'Smith',5000),(2,'Jones',3000),(3,'Jones',3500),(4,'Johnson',4000),(5,'Johnson',6000);
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SELECT SUM(billing_amount) FROM cases WHERE attorney_name = 'Johnson';
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Which biosensors and their associated departments have a price less than 1500?
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CREATE TABLE Biosensor (Biosensor_Name VARCHAR(50) PRIMARY KEY,Department VARCHAR(50),Price DECIMAL(10,2)); INSERT INTO Biosensor (Biosensor_Name,Department,Price) VALUES ('Bio1','Genetic Research',1000.00); INSERT INTO Biosensor (Biosensor_Name,Department,Price) VALUES ('Bio2','BioProcess Engineering',1500.00); INSERT INTO Biosensor (Biosensor_Name,Department,Price) VALUES ('Bio3','Genetic Research',1800.00);
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SELECT B.Biosensor_Name, B.Department FROM Biosensor B WHERE B.Price < 1500;
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What is the total energy consumption of renewable energy projects in the RenewableEnergy schema?
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CREATE TABLE RenewableEnergy (ProjectID INT,EnergyConsumption FLOAT);
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select sum(EnergyConsumption) as total_cons from RenewableEnergy;
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What is the name and ID of the water treatment plant in the 'PublicWorks' table with the highest daily capacity?
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CREATE TABLE PublicWorks (ID INT,Name VARCHAR(50),Type VARCHAR(20),Location VARCHAR(50),DailyCapacity INT); INSERT INTO PublicWorks (ID,Name,Type,Location,DailyCapacity) VALUES (1,'Water Treatment Plant A','Water Treatment Plant','Seattle,WA',150000); INSERT INTO PublicWorks (ID,Name,Type,Location,DailyCapacity) VALUES (2,'Wastewater Treatment Plant B','Wastewater Treatment Plant','Denver,CO',125000);
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SELECT Name, ID FROM PublicWorks WHERE DailyCapacity = (SELECT MAX(DailyCapacity) FROM PublicWorks WHERE Type = 'Water Treatment Plant');
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Insert a new record for a community health worker with ID 3, age 30, and ethnicity Caucasian.
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CREATE TABLE community_health_workers (worker_id INT,age INT,race VARCHAR(255)); INSERT INTO community_health_workers (worker_id,age,race) VALUES (1,35,'Hispanic'); INSERT INTO community_health_workers (worker_id,age,race) VALUES (2,40,'African American');
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INSERT INTO community_health_workers (worker_id, age, race) VALUES (3, 30, 'Caucasian');
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What is the name of the artist with the highest number of artworks?
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CREATE TABLE Artists (name VARCHAR(255),art VARCHAR(255),quantity INT); INSERT INTO Artists (name,art,quantity) VALUES ('Picasso','Painting',500),('Van Gogh','Painting',400),('Dali','Painting',300),('Picasso','Sculpture',200);
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SELECT name FROM Artists WHERE quantity = (SELECT MAX(quantity) FROM Artists);
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Find the difference in data usage between consecutive months for subscriber_id 43 in the 'Asia-Pacific' region.
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CREATE TABLE subscriber_data (subscriber_id INT,data_usage FLOAT,month DATE); INSERT INTO subscriber_data (subscriber_id,data_usage,month) VALUES (43,28,'2021-01-01'),(43,33,'2021-02-01'),(43,38,'2021-03-01');
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SELECT subscriber_id, LAG(data_usage) OVER (PARTITION BY subscriber_id ORDER BY month) as prev_data_usage, data_usage, month FROM subscriber_data WHERE subscriber_id = 43 AND region = 'Asia-Pacific' ORDER BY month;
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What is the lifelong learning enrollment rate for each province?
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CREATE TABLE province (province_id INT,province_name VARCHAR(255)); CREATE TABLE lifelong_learning (student_id INT,province_id INT,enrollment_date DATE); INSERT INTO province (province_id,province_name) VALUES (8001,'Province A'),(8002,'Province B'),(8003,'Province C'); INSERT INTO lifelong_learning (student_id,province_id,enrollment_date) VALUES (9001,8001,'2021-01-01'),(9002,8002,'2021-02-01'),(9003,8003,'2021-03-01'); CREATE VIEW enrolled_students AS SELECT province_id,COUNT(DISTINCT student_id) as enrolled_count FROM lifelong_learning GROUP BY province_id;
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SELECT province_name, enrolled_students.enrolled_count, (enrolled_students.enrolled_count::FLOAT / (SELECT COUNT(DISTINCT student_id) FROM lifelong_learning) * 100) as enrollment_rate FROM province JOIN enrolled_students ON province.province_id = enrolled_students.province_id;
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What is the percentage of female and male employees for each job type across all mines?
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CREATE TABLE Mine (MineID int,MineName varchar(50),Location varchar(50)); CREATE TABLE Employee (EmployeeID int,EmployeeName varchar(50),JobType varchar(50),MineID int,Gender varchar(10)); INSERT INTO Mine VALUES (1,'ABC Mine','Colorado'),(2,'DEF Mine','Wyoming'),(3,'GHI Mine','West Virginia'); INSERT INTO Employee VALUES (1,'John Doe','Miner',1,'Male'),(2,'Jane Smith','Engineer',1,'Female'),(3,'Michael Lee','Miner',2,'Male'),(4,'Emily Johnson','Admin',2,'Female'),(5,'Robert Brown','Miner',3,'Male'),(6,'Sophia Davis','Engineer',3,'Female');
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SELECT JobType, Gender, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Employee) as Percentage FROM Employee GROUP BY JobType, Gender;
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How many unique pests were reported in the 'Northeast' region organic farms in 2019?
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CREATE TABLE Organic_Farms (farm_name VARCHAR(50),region VARCHAR(20),year INT); CREATE TABLE Pest_Report (report_id INT,farm_name VARCHAR(50),pest VARCHAR(30),year INT); INSERT INTO Organic_Farms (farm_name,region,year) VALUES ('Farm1','Northeast',2019),('Farm2','Northeast',2019); INSERT INTO Pest_Report (report_id,farm_name,pest,year) VALUES (1,'Farm1','Aphid',2019),(2,'Farm1','Thrip',2019);
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SELECT COUNT(DISTINCT pest) as unique_pests FROM Pest_Report pr JOIN Organic_Farms of ON pr.farm_name = of.farm_name WHERE of.region = 'Northeast' AND of.year = 2019;
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Add a new column 'weight' to the 'satellite_deployment' table
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CREATE TABLE satellite_deployment (id INT PRIMARY KEY,name VARCHAR(255),country VARCHAR(255),launch_date DATE);
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ALTER TABLE satellite_deployment ADD COLUMN weight FLOAT;
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What is the average monthly data usage for mobile and broadband subscribers in the state of California?
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CREATE TABLE subscriber_data (subscriber_id INT,subscriber_type VARCHAR(10),data_usage FLOAT,state VARCHAR(20)); INSERT INTO subscriber_data (subscriber_id,subscriber_type,data_usage,state) VALUES (1,'mobile',3.5,'CA'),(2,'mobile',4.2,'NY'),(3,'broadband',200.5,'CA'),(4,'mobile',3.8,'WA'),(5,'broadband',250.0,'NY');
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SELECT subscriber_type, AVG(data_usage) FROM subscriber_data WHERE state = 'CA' GROUP BY subscriber_type;
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What is the average word count for articles in 'category1', 'category3', and 'category5'?
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CREATE TABLE articles (id INT,title VARCHAR(50),word_count INT,category VARCHAR(20)); INSERT INTO articles (id,title,word_count,category) VALUES (1,'Article1',500,'category1'),(2,'Article2',700,'category3'),(3,'Article3',800,'category5'),(4,'Article4',600,'category2'),(5,'Article5',400,'category1');
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SELECT AVG(word_count) FROM articles WHERE category IN ('category1', 'category3', 'category5')
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Find the top 5 submarine dives by maximum depth, showing the dive's date and the name of the submarine.
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CREATE TABLE SUBMARINE_DIVES (DIVE_ID INT,SUBMARINE_NAME VARCHAR(20),DIVE_DATE DATE,MAX_DEPTH INT); INSERT INTO SUBMARINE_DIVES (DIVE_ID,SUBMARINE_NAME,DIVE_DATE,MAX_DEPTH) VALUES (1,'Alvin','2022-01-01',4000),(2,'Nautile','2022-02-01',6000),(3,'Alvin','2022-03-01',3500),(4,'Nautile','2022-04-01',5000),(5,'Alvin','2022-05-01',4500);
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SELECT SUBMARINE_NAME, DIVE_DATE, MAX_DEPTH FROM (SELECT SUBMARINE_NAME, DIVE_DATE, MAX_DEPTH, ROW_NUMBER() OVER (PARTITION BY SUBMARINE_NAME ORDER BY MAX_DEPTH DESC) AS RN FROM SUBMARINE_DIVES) WHERE RN <= 5;
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What is the average price of recycled polyester clothing manufactured in size S?
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CREATE TABLE textile_sources (source_id INT,material VARCHAR(50)); INSERT INTO textile_sources (source_id,material) VALUES (1,'Recycled Polyester'); CREATE TABLE garment_sizes (size_id INT,size VARCHAR(10)); INSERT INTO garment_sizes (size_id,size) VALUES (1,'S'); CREATE TABLE products (product_id INT,name VARCHAR(50),price DECIMAL(5,2),source_id INT,size_id INT); INSERT INTO products (product_id,name,price,source_id,size_id) VALUES (1,'Recycled Polyester Top',30.99,1,1);
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SELECT AVG(p.price) FROM products p INNER JOIN textile_sources ts ON p.source_id = ts.source_id INNER JOIN garment_sizes gs ON p.size_id = gs.size_id WHERE ts.material = 'Recycled Polyester' AND gs.size = 'S';
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Determine the percentage change in total production of Dysprosium for each country from 2019 to 2020.
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CREATE TABLE Country (Code TEXT,Name TEXT,Continent TEXT); INSERT INTO Country (Code,Name,Continent) VALUES ('CN','China','Asia'),('AU','Australia','Australia'),('KR','South Korea','Asia'),('IN','India','Asia'); CREATE TABLE ProductionYearly (Year INT,Country TEXT,Element TEXT,Quantity INT); INSERT INTO ProductionYearly (Year,Country,Element,Quantity) VALUES (2019,'CN','Dysprosium',1500),(2019,'AU','Dysprosium',1200),(2019,'KR','Dysprosium',1000),(2020,'CN','Dysprosium',1800),(2020,'AU','Dysprosium',1300),(2020,'KR','Dysprosium',1100);
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SELECT a.Country, ((b.Quantity - a.Quantity) * 100.0 / a.Quantity) AS PercentageChange FROM ProductionYearly a JOIN ProductionYearly b ON a.Country = b.Country WHERE a.Element = 'Dysprosium' AND b.Element = 'Dysprosium' AND a.Year = 2019 AND b.Year = 2020;
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How many defense projects exceeded their budget in the last 3 years?
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CREATE TABLE DefenseProjects (id INT,project_name VARCHAR(255),start_date DATE,end_date DATE,budget INT,actual_cost INT); INSERT INTO DefenseProjects (id,project_name,start_date,end_date,budget,actual_cost) VALUES (1,'Project A','2019-01-01','2021-12-31',10000000,11000000),(2,'Project B','2018-01-01','2020-12-31',8000000,7500000);
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SELECT COUNT(*) FROM DefenseProjects WHERE actual_cost > budget AND start_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 YEAR);
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What is the number of teachers who have attended professional development sessions in each subject area by gender?
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CREATE TABLE teacher_development_gender (teacher_id INT,gender VARCHAR(255),subject_area VARCHAR(255),sessions_attended INT); INSERT INTO teacher_development_gender (teacher_id,gender,subject_area,sessions_attended) VALUES (1,'Male','Math',3),(2,'Female','English',2),(3,'Non-binary','Science',5),(4,'Male','Math',4);
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SELECT gender, subject_area, SUM(sessions_attended) as total_sessions_attended FROM teacher_development_gender GROUP BY gender, subject_area;
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Which menu items were inspected by the Food Safety Agency in 2021?
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CREATE TABLE food_safety_inspection(menu_item VARCHAR(255),inspection_date DATE,agency VARCHAR(255)); INSERT INTO food_safety_inspection VALUES ('Chicken Burger','2021-05-15','Food Safety Agency'); INSERT INTO food_safety_inspection VALUES ('Fish Tacos','2021-10-20','Food Safety Agency');
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SELECT menu_item FROM food_safety_inspection WHERE agency = 'Food Safety Agency' AND YEAR(inspection_date) = 2021;
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What is the release year of the most recent movie in the "movies" table?
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CREATE TABLE movies (id INT,title VARCHAR(100),release_year INT);
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SELECT MAX(release_year) FROM movies;
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What is the total sales revenue for each drug, ranked by total sales revenue?
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CREATE TABLE DrugSales (DrugName varchar(50),SalesRepID int,SalesDate date,TotalSalesRev decimal(18,2)); INSERT INTO DrugSales (DrugName,SalesRepID,SalesDate,TotalSalesRev) VALUES ('DrugI',1,'2021-03-15',50000.00),('DrugJ',2,'2021-02-01',75000.00),('DrugK',3,'2021-01-25',62000.00),('DrugL',4,'2021-04-02',85000.00);
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SELECT DrugName, TotalSalesRev, ROW_NUMBER() OVER (ORDER BY TotalSalesRev DESC) as SalesRank FROM (SELECT DrugName, SUM(TotalSalesRev) as TotalSalesRev FROM DrugSales GROUP BY DrugName) as TotalSales;
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What is the total number of volunteer hours contributed by each program in Q1 2023, including partial hours?
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CREATE TABLE Programs (ProgramID INT,Name TEXT);CREATE TABLE VolunteerHours (HourID INT,ProgramID INT,Hours DECIMAL(10,2),HourDate DATE);
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SELECT P.Name, SUM(VH.Hours) as TotalHours FROM VolunteerHours VH JOIN Programs P ON VH.ProgramID = P.ProgramID WHERE VH.HourDate BETWEEN '2023-01-01' AND '2023-03-31' GROUP BY P.ProgramID, P.Name;
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What is the total quantity of equipment for each manufacturer, grouped by equipment type, in the 'equipment_summary' view?
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CREATE TABLE workout_equipment (equipment_id INT,equipment_name VARCHAR(50),quantity INT,manufacturer VARCHAR(50)); CREATE VIEW equipment_summary AS SELECT equipment_name,manufacturer,SUM(quantity) as total_quantity FROM workout_equipment GROUP BY equipment_name,manufacturer;
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SELECT manufacturer, equipment_name, SUM(total_quantity) FROM equipment_summary GROUP BY manufacturer, equipment_name;
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How many public schools are there in total, and what is the total budget allocated to them?
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CREATE TABLE Schools (Name VARCHAR(255),Type VARCHAR(255),Region VARCHAR(255)); INSERT INTO Schools (Name,Type,Region) VALUES ('School A','Public','North'),('School B','Private','North'),('School C','Public','South'),('School D','Private','South'); CREATE TABLE SchoolBudget (Year INT,School VARCHAR(255),Amount DECIMAL(10,2)); INSERT INTO SchoolBudget (Year,School,Amount) VALUES (2020,'School A',500000.00),(2020,'School B',600000.00),(2020,'School C',550000.00),(2020,'School D',700000.00);
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SELECT COUNT(s.Name), SUM(sb.Amount) FROM Schools s INNER JOIN SchoolBudget sb ON s.Name = sb.School WHERE s.Type = 'Public';
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Find the union of emergency calls and crimes reported in the Downtown and Uptown districts.
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CREATE TABLE Districts (district_name TEXT,calls INTEGER,crimes INTEGER); INSERT INTO Districts (district_name,calls,crimes) VALUES ('Downtown',450,300),('Uptown',500,250);
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SELECT calls, crimes FROM Districts WHERE district_name = 'Downtown' UNION SELECT calls, crimes FROM Districts WHERE district_name = 'Uptown';
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List the total production of oil and gas for all fields in the North Sea in 2019.
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CREATE TABLE north_sea_fields (field_id INT,field_name VARCHAR(50),oil_production FLOAT,gas_production FLOAT,datetime DATETIME); INSERT INTO north_sea_fields (field_id,field_name,oil_production,gas_production,datetime) VALUES (1,'North Sea Field A',1500000,2000000,'2019-01-01 00:00:00'),(2,'North Sea Field B',1800000,2500000,'2019-01-01 00:00:00');
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SELECT field_name, SUM(oil_production) + SUM(gas_production) FROM north_sea_fields WHERE YEAR(datetime) = 2019 GROUP BY field_name;
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Get the list of members who are older than 40 and from a country other than the United States and Canada.
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CREATE TABLE members_geo(id INT,name VARCHAR(50),gender VARCHAR(10),age INT,membership_type VARCHAR(20),country VARCHAR(20),city VARCHAR(20)); INSERT INTO members_geo(id,name,gender,age,membership_type,country,city) VALUES (1,'John Doe','Male',30,'Gym','USA','New York'),(2,'Jane Doe','Female',45,'Swimming','Mexico','Mexico City');
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SELECT id, name, country FROM members_geo WHERE age > 40 AND country NOT IN ('USA', 'Canada');
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What is the maximum claim amount for policyholders living in 'Texas'?
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CREATE TABLE policyholders (id INT,name TEXT,age INT,gender TEXT,state TEXT); INSERT INTO policyholders (id,name,age,gender,state) VALUES (1,'John Doe',36,'Male','Texas'); INSERT INTO policyholders (id,name,age,gender,state) VALUES (2,'Jane Smith',42,'Female','Texas'); CREATE TABLE claims (id INT,policyholder_id INT,claim_amount INT); INSERT INTO claims (id,policyholder_id,claim_amount) VALUES (1,1,2500); INSERT INTO claims (id,policyholder_id,claim_amount) VALUES (2,1,3000); INSERT INTO claims (id,policyholder_id,claim_amount) VALUES (3,2,1500); INSERT INTO claims (id,policyholder_id,claim_amount) VALUES (4,2,6000);
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SELECT MAX(claim_amount) FROM claims JOIN policyholders ON claims.policyholder_id = policyholders.id WHERE policyholders.state = 'Texas';
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How many carbon offset initiatives have been launched by the city government of Tokyo in the last 5 years?
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CREATE TABLE carbon_offset_initiatives (initiative_id INT,initiative_name VARCHAR(100),launch_date DATE,city VARCHAR(100)); INSERT INTO carbon_offset_initiatives (initiative_id,initiative_name,launch_date,city) VALUES (1,'Tree Planting','2022-01-01','Tokyo'),(2,'Public Transit Expansion','2021-07-01','Tokyo');
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SELECT COUNT(*) FROM carbon_offset_initiatives WHERE city = 'Tokyo' AND launch_date >= DATE_SUB(CURRENT_DATE, INTERVAL 5 YEAR);
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What is the total donation amount by new donors (first-time donors) in 2022?
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CREATE TABLE donors (id INT,name VARCHAR(50),is_new_donor BOOLEAN,donation_amount DECIMAL(10,2),donation_date DATE); INSERT INTO donors (id,name,is_new_donor,donation_amount,donation_date) VALUES (1,'John Doe',true,200.00,'2022-04-15'); INSERT INTO donors (id,name,is_new_donor,donation_amount,donation_date) VALUES (2,'Jane Smith',false,300.00,'2022-01-01'); INSERT INTO donors (id,name,is_new_donor,donation_amount,donation_date) VALUES (3,'Maria Garcia',true,500.00,'2022-11-29');
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SELECT SUM(donation_amount) FROM donors WHERE YEAR(donation_date) = 2022 AND is_new_donor = true;
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Delete all records from the 'charging_stations' table where the 'city' is 'San Diego'
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CREATE TABLE charging_stations (id INT PRIMARY KEY,station_name VARCHAR(255),city VARCHAR(255),num_ports INT);
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DELETE FROM charging_stations WHERE city = 'San Diego';
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How many polar bears were sighted in total in the past 2 years?
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CREATE TABLE PolarBearSightings (id INT,year INT,month INT,polar_bears_sighted INT); INSERT INTO PolarBearSightings (id,year,month,polar_bears_sighted) VALUES (1,2019,1,3),(2,2019,2,5),(3,2019,3,4);
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SELECT year, SUM(polar_bears_sighted) FROM PolarBearSightings WHERE year IN (2020, 2021) GROUP BY year;
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What is the average billing amount for cases with precedent 'Precedent B'?
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CREATE TABLE cases (case_id INT,precedent TEXT,total_billing FLOAT); INSERT INTO cases (case_id,precedent,total_billing) VALUES (1,'Precedent A',2000.00),(2,'Precedent A',3000.00),(3,'Precedent B',1500.00);
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SELECT AVG(total_billing) FROM cases WHERE precedent = 'Precedent B';
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Rank national security budgets from highest to lowest for the last 3 years.
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CREATE TABLE budgets (budget_id INT,year INT,region_id INT,amount INT); INSERT INTO budgets (budget_id,year,region_id,amount) VALUES (1,2019,1,500),(2,2020,1,600),(3,2021,1,700),(4,2019,2,400),(5,2020,2,450),(6,2021,2,500);
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SELECT year, region_id, amount, RANK() OVER (PARTITION BY year ORDER BY amount DESC) as ranking FROM budgets ORDER BY year, ranking;
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Which support programs have at least one student with a visual impairment?
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CREATE TABLE Students(student_id INT,name TEXT,disability TEXT);CREATE TABLE Programs(program_id INT,program_name TEXT);CREATE TABLE Student_Programs(student_id INT,program_id INT);
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SELECT p.program_name FROM Programs p INNER JOIN Student_Programs sp ON p.program_id = sp.program_id INNER JOIN Students s ON sp.student_id = s.student_id WHERE s.disability LIKE '%visual%';
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Which underrepresented communities have been included in the training data for each AI model?
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CREATE TABLE training_data (id INT,model_id INT,community VARCHAR(255)); INSERT INTO training_data (id,model_id,community) VALUES (1,1,'Rural Communities'),(2,1,'Elderly Population'),(3,2,'LGBTQ+ Community'),(4,3,'Minority Languages');
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SELECT model_id, community FROM training_data;
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What is the average installed capacity of wind projects?
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CREATE TABLE renewable_energy_projects (id INT,project_name TEXT,country TEXT,technology TEXT,installed_capacity FLOAT); INSERT INTO renewable_energy_projects (id,project_name,country,technology,installed_capacity) VALUES (1,'Project A','country1','solar',200.0),(2,'Project B','country2','wind',150.0),(3,'Project C','country1','wind',300.0);
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SELECT AVG(installed_capacity) FROM renewable_energy_projects WHERE technology = 'wind';
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Display the number of users who have not accepted the privacy policy in Senegal as of Q2 2022.
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CREATE TABLE if not exists privacy_update (user_id INT,country VARCHAR(50),accepted BOOLEAN,quarter INT,year INT); INSERT INTO privacy_update (user_id,country,accepted) VALUES (1,'Senegal',TRUE,2,2022),(2,'Senegal',FALSE,2,2022);
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SELECT COUNT(user_id) FROM privacy_update WHERE country = 'Senegal' AND accepted = FALSE;
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Delete the record of the diamond mine in Mpumalanga, South Africa from the "mining_operations" table
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CREATE TABLE mining_operations (id INT PRIMARY KEY,mine_name VARCHAR(255),location VARCHAR(255),resource VARCHAR(255),open_date DATE);
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DELETE FROM mining_operations WHERE mine_name = 'Diamond Dream' AND location = 'Mpumalanga, South Africa';
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What is the minimum price of blushes sourced from Europe?
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CREATE TABLE Cosmetics (product_id INT,name VARCHAR(50),price DECIMAL(5,2),sourcing_country VARCHAR(50),type VARCHAR(50));
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SELECT MIN(price) FROM Cosmetics WHERE type = 'Blush' AND sourcing_country = 'Europe';
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What is the total amount donated by each donor to each organization in 2020?
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CREATE TABLE Donors (DonorID INT,DonorName TEXT,DonationAmount INT,DonationYear INT); INSERT INTO Donors (DonorID,DonorName,DonationAmount,DonationYear) VALUES (1,'Donor A',2000,2020),(2,'Donor B',3000,2020),(3,'Donor C',4000,2020); CREATE TABLE Organizations (OrganizationID INT,OrganizationName TEXT); INSERT INTO Organizations (OrganizationID,OrganizationName) VALUES (1,'UNICEF'),(2,'Greenpeace'),(3,'Doctors Without Borders'); CREATE TABLE Donations (DonorID INT,OrganizationID INT,DonationAmount INT,DonationYear INT); INSERT INTO Donations (DonorID,OrganizationID,DonationAmount,DonationYear) VALUES (1,1,2000,2020),(2,2,3000,2020),(3,3,4000,2020);
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SELECT DonorName, OrganizationName, SUM(DonationAmount) as TotalDonation FROM Donors INNER JOIN Donations ON Donors.DonorID = Donations.DonorID INNER JOIN Organizations ON Donations.OrganizationID = Organizations.OrganizationID WHERE DonationYear = 2020 GROUP BY DonorName, OrganizationName;
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What is the total amount donated and total number of donations for each program, excluding 'Medical Research'?
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CREATE TABLE Donors (DonorID INT,DonorName TEXT,TotalDonated DECIMAL(10,2));CREATE TABLE Donations (DonationID INT,DonorID INT,Program TEXT,Amount DECIMAL(10,2),Success BOOLEAN);
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SELECT D.Program, SUM(D.Amount) as TotalAmount, COUNT(*) as TotalDonations FROM Donations D WHERE D.Program != 'Medical Research' GROUP BY D.Program;
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What is the total number of hours spent on professional development by teachers in each country?
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CREATE TABLE professional_development_hours (teacher_id INT,country TEXT,hours_spent INT); INSERT INTO professional_development_hours (teacher_id,country,hours_spent) VALUES (1,'USA',10),(2,'Canada',15),(3,'Mexico',20),(4,'Brazil',25),(5,'Argentina',30);
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SELECT country, SUM(hours_spent) as total_hours FROM professional_development_hours GROUP BY country;
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What is the total budget allocated for habitat preservation in 'Africa'?
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CREATE TABLE Habitat_Preservation (PreservationID INT,Habitat VARCHAR(20),Budget DECIMAL(10,2)); INSERT INTO Habitat_Preservation (PreservationID,Habitat,Budget) VALUES (1,'Africa',50000.00); INSERT INTO Habitat_Preservation (PreservationID,Habitat,Budget) VALUES (2,'Asia',75000.00);
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SELECT SUM(Budget) FROM Habitat_Preservation WHERE Habitat = 'Africa';
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How many tons of seafood were exported from Canada to the US in 2020?
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CREATE TABLE seafood_exports (id INT,export_date DATE,export_country VARCHAR(50),import_country VARCHAR(50),quantity INT,unit_type VARCHAR(10)); INSERT INTO seafood_exports (id,export_date,export_country,import_country,quantity,unit_type) VALUES (1,'2020-01-01','Canada','US',500,'ton'),(2,'2020-01-02','Canada','Mexico',300,'ton'),(3,'2021-01-01','Canada','US',600,'ton');
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SELECT SUM(quantity) FROM seafood_exports WHERE export_country = 'Canada' AND import_country = 'US' AND EXTRACT(YEAR FROM export_date) = 2020;
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What is the maximum temperature recorded in the 'arctic_weather' table for each month in the year 2020?
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CREATE TABLE arctic_weather (id INT,date DATE,temperature FLOAT);
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SELECT MONTH(date) AS month, MAX(temperature) AS max_temp FROM arctic_weather WHERE YEAR(date) = 2020 GROUP BY month;
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What is the total revenue for each fashion trend that is popular in the UK and has a size diversity score greater than 8?
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CREATE TABLE FashionTrends (TrendID INT,TrendName TEXT,Popularity INT,Revenue INT,SizeDiversityScore INT); INSERT INTO FashionTrends (TrendID,TrendName,Popularity,Revenue,SizeDiversityScore) VALUES (1,'Athleisure',8000,50000,9),(2,'Denim',9000,60000,7),(3,'Boho-Chic',7000,40000,8),(4,'Minimalism',6000,30000,10); CREATE TABLE SizeDiversity (TrendID INT,SizeDiversityScore INT); INSERT INTO SizeDiversity (TrendID,SizeDiversityScore) VALUES (1,9),(2,7),(3,8),(4,10);
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SELECT FT.TrendName, SUM(FT.Revenue) FROM FashionTrends FT INNER JOIN SizeDiversity SD ON FT.TrendID = SD.TrendID WHERE FT.Popularity > 8000 AND SD.SizeDiversityScore > 8 GROUP BY FT.TrendName HAVING COUNT(DISTINCT FT.Country) > 1;
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How many wind farms are there in 'Texas' that have a capacity of at least 250 MW?
|
CREATE TABLE wind_farms (id INT,name TEXT,location TEXT,capacity FLOAT); INSERT INTO wind_farms (id,name,location,capacity) VALUES (1,'Farm A','Texas',300.2),(2,'Farm B','Texas',200.1);
|
SELECT COUNT(*) FROM wind_farms WHERE location = 'Texas' AND capacity >= 250;
|
What is the maximum number of followers for any user, and what is their location?
|
CREATE TABLE users (id INT,name VARCHAR(50),location VARCHAR(50),followers INT); INSERT INTO users (id,name,location,followers) VALUES (1,'Alice','Canada',100); INSERT INTO users (id,name,location,followers) VALUES (2,'Bob','USA',200); INSERT INTO users (id,name,location,followers) VALUES (3,'Charlie','Mexico',300);
|
SELECT location, MAX(followers) as max_followers FROM users;
|
What is the combined height of all Redwood trees?
|
CREATE TABLE forestry_survey (id INT,species VARCHAR(255),diameter FLOAT,height FLOAT,volume FLOAT); INSERT INTO forestry_survey (id,species,diameter,height,volume) VALUES (1,'Redwood',5.6,120,23.4); INSERT INTO forestry_survey (id,species,diameter,height,volume) VALUES (2,'Oak',2.4,60,4.2); INSERT INTO forestry_survey (id,species,diameter,height,volume) VALUES (3,'Pine',3.8,80,12.3);
|
SELECT SUM(height) FROM forestry_survey WHERE species = 'Redwood';
|
Determine the number of users who achieved over 10,000 steps per day on average in 2021.
|
CREATE TABLE DailySteps (user_id INT,steps INT,activity_date DATE); INSERT INTO DailySteps (user_id,steps,activity_date) VALUES (1,12000,'2021-01-01'),(2,8000,'2021-01-02'),(3,15000,'2021-12-31');
|
SELECT COUNT(*) FROM (SELECT user_id, AVG(steps) avg_steps FROM DailySteps GROUP BY user_id) subquery WHERE avg_steps > 10000;
|
What is the recycling rate of plastic in the commercial sector?
|
CREATE TABLE recycling_rates (sector VARCHAR(20),material VARCHAR(20),recycling_rate DECIMAL(5,2)); INSERT INTO recycling_rates (sector,material,recycling_rate) VALUES ('residential','plastic',0.25),('commercial','plastic',0.30),('residential','paper',0.40),('commercial','paper',0.50);
|
SELECT recycling_rate FROM recycling_rates WHERE sector = 'commercial' AND material = 'plastic';
|
Show the number of unique investors who have invested in companies that have an exit strategy.
|
CREATE TABLE Companies (id INT,name TEXT,has_exit_strategy BOOLEAN); INSERT INTO Companies (id,name,has_exit_strategy) VALUES (1,'Star Startup',TRUE); INSERT INTO Companies (id,name,has_exit_strategy) VALUES (2,'Moonshot Inc',FALSE); CREATE TABLE Investors (id INT,name TEXT); INSERT INTO Investors (id,name) VALUES (1,'Venture Capital 4'); INSERT INTO Investors (id,name) VALUES (2,'Angel Investor 4');
|
SELECT COUNT(DISTINCT Investors.name) FROM Companies INNER JOIN Investors ON TRUE WHERE Companies.has_exit_strategy = TRUE;
|
Identify smart city projects with overlapping start and end dates.
|
CREATE TABLE smart_transportation_projects (id INT,project_name VARCHAR(255),project_type VARCHAR(255),location VARCHAR(255),start_date DATE,end_date DATE,PRIMARY KEY(id)); INSERT INTO smart_transportation_projects (id,project_name,project_type,location,start_date,end_date) VALUES (1,'Bike Sharing','Transportation','Barcelona','2022-06-01','2024-05-31'),(2,'Autonomous Buses','Transportation','Singapore','2023-01-15','2025-01-14'),(3,'Smart Traffic Lights','Transportation','Amsterdam','2023-02-01','2022-01-31');
|
SELECT project_name, project_type, location, start_date, end_date FROM smart_transportation_projects WHERE start_date <= end_date AND end_date >= start_date;
|
What is the average age of members in unions that have a focus on healthcare?
|
CREATE TABLE union_members (member_id INT,name VARCHAR(50),age INT,union_id INT); CREATE TABLE unions (union_id INT,union_name VARCHAR(50),focus VARCHAR(50)); INSERT INTO union_members (member_id,name,age,union_id) VALUES (1,'John Doe',35,1),(2,'Jane Smith',40,1),(3,'Mike Johnson',30,2); INSERT INTO unions (union_id,union_name,focus) VALUES (1,'Healthcare Workers Union','healthcare'),(2,'Teachers Union','education');
|
SELECT AVG(um.age) FROM union_members um INNER JOIN unions u ON um.union_id = u.union_id WHERE u.focus = 'healthcare';
|
What are the defense diplomacy activities between France and Germany?
|
CREATE TABLE defense_diplomacy (activity_id INT,country1 TEXT,country2 TEXT); INSERT INTO defense_diplomacy (activity_id,country1,country2) VALUES (1,'France','Germany'),(2,'Germany','France');
|
SELECT * FROM defense_diplomacy WHERE (country1 = 'France' AND country2 = 'Germany') OR (country1 = 'Germany' AND country2 = 'France')
|
Insert new records into the "player_inventory" table with the following data: (1, 'Health Potion', 5), (2, 'Gold Coin', 100)
|
CREATE TABLE player_inventory (player_id INT,item_name VARCHAR(50),quantity INT);
|
WITH cte AS (VALUES (1, 'Health Potion', 5), (2, 'Gold Coin', 100)) INSERT INTO player_inventory (player_id, item_name, quantity) SELECT * FROM cte;
|
Find the total number of male and female employees in the 'hr' and 'operations' departments and exclude employees from the 'management' role.
|
CREATE TABLE employees (id INT,name VARCHAR(50),gender VARCHAR(50),department VARCHAR(50),role VARCHAR(50)); INSERT INTO employees (id,name,gender,department,role) VALUES (1,'John Doe','male','hr','employee'); INSERT INTO employees (id,name,gender,department,role) VALUES (2,'Jane Smith','female','hr','manager'); INSERT INTO employees (id,name,gender,department,role) VALUES (3,'Bob Johnson','male','operations','employee');
|
SELECT COUNT(*) FILTER (WHERE gender = 'male') AS male_count, COUNT(*) FILTER (WHERE gender = 'female') AS female_count FROM employees WHERE department IN ('hr', 'operations') AND role != 'manager';
|
What is the total number of players who play "Battle Royale Adventure" or "Rhythm Game 2023"?
|
CREATE TABLE Players (PlayerID INT,PlayerName VARCHAR(50),Game VARCHAR(50)); INSERT INTO Players (PlayerID,PlayerName,Game) VALUES (1,'Sophia Garcia','Battle Royale Adventure'),(2,'Daniel Kim','Rhythm Game 2023'),(3,'Lila Hernandez','Virtual Reality Chess'),(4,'Kenji Nguyen','Racing Simulator 2022');
|
SELECT COUNT(*) FROM Players WHERE Game IN ('Battle Royale Adventure', 'Rhythm Game 2023');
|
Which departments have taken a diversity and inclusion training course?
|
CREATE TABLE Employees (EmployeeID INT,Department VARCHAR(50)); INSERT INTO Employees (EmployeeID,Department) VALUES (1,'IT'); INSERT INTO Employees (EmployeeID,Department) VALUES (2,'IT'); INSERT INTO Employees (EmployeeID,Department) VALUES (3,'HR'); INSERT INTO Employees (EmployeeID,Department) VALUES (4,'Finance'); CREATE TABLE Training (TrainingID INT,Course VARCHAR(50),EmployeeID INT); INSERT INTO Training (TrainingID,Course,EmployeeID) VALUES (1,'Diversity and Inclusion',1); INSERT INTO Training (TrainingID,Course,EmployeeID) VALUES (2,'Diversity and Inclusion',3);
|
SELECT Department FROM Employees INNER JOIN Training ON Employees.EmployeeID = Training.EmployeeID WHERE Course = 'Diversity and Inclusion'
|
What is the description of the latest cybersecurity strategy in the 'cybersecurity' table?
|
CREATE TABLE cybersecurity (strategy_id INT,strategy_name VARCHAR(50),description TEXT,last_updated TIMESTAMP);
|
SELECT description FROM cybersecurity WHERE strategy_id = (SELECT strategy_id FROM cybersecurity WHERE last_updated = (SELECT MAX(last_updated) FROM cybersecurity));
|
What are the names of all the marine species that are part of any research initiative in the 'marine_species' and 'research_initiatives' tables?
|
CREATE TABLE marine_species (id INT,species_name VARCHAR(50),ocean VARCHAR(50)); CREATE TABLE research_initiatives (id INT,species_name VARCHAR(50),initiative_id INT);
|
SELECT species_name FROM marine_species WHERE species_name IN (SELECT species_name FROM research_initiatives);
|
How many sustainable materials were used in total for project with ID 2?
|
CREATE TABLE sustainability (id INT,project_id INT,sustainable_material VARCHAR(255),amount_used INT); INSERT INTO sustainability (id,project_id,sustainable_material,amount_used) VALUES (1,1,'Recycled Steel',1000),(2,2,'Reclaimed Wood',500),(3,2,'Eco-Friendly Paint',300);
|
SELECT SUM(amount_used) FROM sustainability WHERE project_id = 2;
|
Delete records in waste_generation table where the generation_date is after 2020-01-01
|
CREATE TABLE waste_generation (id INT,location VARCHAR(50),generation_date DATE,waste_amount INT); INSERT INTO waste_generation (id,location,generation_date,waste_amount) VALUES (1,'New York','2018-01-01',1000),(2,'Los Angeles','2019-01-01',2000),(3,'London','2020-01-01',1200),(4,'Sydney','2019-07-01',1800),(5,'Rio de Janeiro','2018-05-01',2500);
|
DELETE FROM waste_generation WHERE generation_date > '2020-01-01';
|
What is the total number of songs produced by artists from the United States?
|
CREATE TABLE artists (id INT,name TEXT,country TEXT); INSERT INTO artists (id,name,country) VALUES (1,'Taylor Swift','United States'),(2,'Eminem','United States'); CREATE TABLE songs (id INT,title TEXT,artist_id INT); INSERT INTO songs (id,title,artist_id) VALUES (1,'Shake it Off',1),(2,'Lose Yourself',2);
|
SELECT COUNT(*) FROM songs JOIN artists ON songs.artist_id = artists.id WHERE artists.country = 'United States';
|
Add a new organization to the database
|
CREATE TABLE organization (org_id INT,org_name TEXT); INSERT INTO organization (org_id,org_name) VALUES (1,'Volunteers Inc'); INSERT INTO organization (org_id,org_name) VALUES (2,'Helping Hands');
|
INSERT INTO organization (org_id, org_name) VALUES (3, 'Caring Communities');
|
List all maritime law violations in the 'maritime_law_violations' table
|
CREATE TABLE maritime_law_violations (id INT PRIMARY KEY,vessel_name VARCHAR(255),violation_type VARCHAR(255),fine FLOAT,violation_date DATE);
|
SELECT * FROM maritime_law_violations;
|
What is the average depth of all marine protected areas in the Pacific region?'
|
CREATE TABLE marine_protected_areas (id INT,name TEXT,region TEXT,avg_depth FLOAT); INSERT INTO marine_protected_areas (id,name,region,avg_depth) VALUES (1,'Galapagos Marine Reserve','Pacific',200.5); INSERT INTO marine_protected_areas (id,name,region,avg_depth) VALUES (2,'Great Barrier Reef','Pacific',91.4);
|
SELECT AVG(avg_depth) FROM marine_protected_areas WHERE region = 'Pacific';
|
Identify the number of wells drilled by each operator in the Gulf of Mexico
|
CREATE TABLE operators (operator_id INT,operator_name TEXT); INSERT INTO operators (operator_id,operator_name) VALUES (1,'Company A'),(2,'Company B'); CREATE TABLE wells (well_id INT,operator_id INT,location TEXT); INSERT INTO wells (well_id,operator_id,location) VALUES (1,1,'Gulf of Mexico'),(2,1,'Atlantic'),(3,2,'Gulf of Mexico'),(4,2,'Caribbean');
|
SELECT o.operator_name, COUNT(w.well_id) AS num_wells_drilled FROM wells w JOIN operators o ON w.operator_id = o.operator_id WHERE w.location = 'Gulf of Mexico' GROUP BY o.operator_id;
|
Present the number of intelligence operations conducted per country in the last 5 years
|
CREATE TABLE intelligence_operations (operation_name VARCHAR(255),operation_year INT,country VARCHAR(255)); INSERT INTO intelligence_operations (operation_name,operation_year,country) VALUES ('Operation Red Sparrow',2018,'Russia'),('Operation Black Swan',2017,'China');
|
SELECT country, operation_year FROM intelligence_operations WHERE operation_year BETWEEN (YEAR(CURRENT_DATE) - 5) AND YEAR(CURRENT_DATE) GROUP BY country, operation_year;
|
How many items are there in the 'NY' warehouse?
|
CREATE TABLE warehouse (id INT,name VARCHAR(255),location VARCHAR(255)); INSERT INTO warehouse (id,name,location) VALUES (1,'NY','New York'),(2,'LA','Los Angeles'); CREATE TABLE inventory (item_code VARCHAR(255),quantity INT,warehouse_id INT); INSERT INTO inventory (item_code,quantity,warehouse_id) VALUES ('EGG-01',300,1),('APP-01',200,1),('ORG-01',150,2);
|
SELECT COUNT(DISTINCT item_code) FROM inventory WHERE warehouse_id = (SELECT id FROM warehouse WHERE location = 'New York');
|
Find the total number of tickets sold for basketball games in the Pacific Northwest in 2020.
|
CREATE TABLE basketball_games(id INT,team VARCHAR(50),location VARCHAR(50),year INT,tickets_sold INT); INSERT INTO basketball_games(id,team,location,year,tickets_sold) VALUES (1,'Portland Trail Blazers','Moda Center',2020,765000),(2,'Seattle SuperSonics','KeyArena',2020,600000),(3,'Oklahoma City Thunder','Chesapeake Energy Arena',2020,550000);
|
SELECT SUM(tickets_sold) FROM basketball_games WHERE location IN ('Moda Center', 'KeyArena') AND year = 2020;
|
Show the number of patients and providers in the rural healthcare system.
|
CREATE TABLE Patients (ID INT,Name TEXT); CREATE TABLE Providers (ID INT,Name TEXT,Type TEXT);
|
SELECT (SELECT COUNT(*) FROM Patients) + (SELECT COUNT(*) FROM Providers) AS Total;
|
What percentage of digital divide initiatives are led by BIPOC individuals?
|
CREATE TABLE initiatives (id INT,leader VARCHAR(255),initiative_type VARCHAR(255)); INSERT INTO initiatives (id,leader,initiative_type) VALUES (1,'BIPOC Woman','digital_divide'),(2,'White Man','digital_divide'),(3,'BIPOC Man','accessibility');
|
SELECT (COUNT(*) FILTER (WHERE leader ILIKE '%BIPOC%')) * 100.0 / COUNT(*) FROM initiatives WHERE initiative_type = 'digital_divide';
|
What is the total duration of all songs in the pop genre?
|
CREATE TABLE songs (id INT,title VARCHAR(255),duration INT,genre VARCHAR(255)); INSERT INTO songs (id,title,duration,genre) VALUES (1,'Song 1',180,'Pop');
|
SELECT SUM(duration) FROM songs WHERE genre = 'Pop';
|
Calculate the average productivity for 'Silver' mineral extractions in all regions.
|
CREATE TABLE Productivity_Silver (mineral TEXT,region TEXT,productivity REAL); INSERT INTO Productivity_Silver (mineral,region,productivity) VALUES ('Silver','Africa',3.2); INSERT INTO Productivity_Silver (mineral,region,productivity) VALUES ('Silver','Asia',3.6); INSERT INTO Productivity_Silver (mineral,region,productivity) VALUES ('Silver','Europe',3.4);
|
SELECT AVG(productivity) FROM Productivity_Silver WHERE mineral = 'Silver';
|
What is the total number of military aircrafts by type, maintained by contractor X in the year 2020?
|
CREATE TABLE military_aircrafts(id INT,type VARCHAR(255),manufacturer VARCHAR(255),year INT,contractor VARCHAR(255));
|
SELECT type, COUNT(*) as total FROM military_aircrafts WHERE contractor = 'X' AND year = 2020 GROUP BY type;
|
What is the percentage of products made by fair trade manufacturers?
|
CREATE TABLE manufacturers (id INT PRIMARY KEY,name TEXT,location TEXT,is_fair_trade BOOLEAN); CREATE TABLE products (id INT PRIMARY KEY,name TEXT,category TEXT,price DECIMAL,manufacturer_id INT,FOREIGN KEY (manufacturer_id) REFERENCES manufacturers(id));
|
SELECT (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM products)) FROM products p JOIN manufacturers m ON p.manufacturer_id = m.id WHERE m.is_fair_trade = TRUE;
|
What is the maximum fare for public transportation in each region?
|
CREATE TABLE Region (RegionID INT,RegionName VARCHAR(255)); INSERT INTO Region (RegionID,RegionName) VALUES (1,'RegionX'),(2,'RegionY'),(3,'RegionZ'); CREATE TABLE Fare (FareID INT,RegionID INT,FareAmount DECIMAL(5,2)); INSERT INTO Fare (FareID,RegionID,FareAmount) VALUES (1,1,3.50),(2,1,2.80),(3,2,4.20),(4,2,3.90),(5,3,1.50),(6,3,1.80);
|
SELECT Region.RegionName, MAX(FareAmount) FROM Region JOIN Fare ON Region.RegionID = Fare.RegionID GROUP BY Region.RegionName;
|
What is the budget for the Parks and Recreation department after a 10% increase?
|
CREATE TABLE CityBudget (BudgetID INT PRIMARY KEY,Department VARCHAR(50),BudgetAmount DECIMAL(10,2)); INSERT INTO CityBudget (BudgetID,Department,BudgetAmount) VALUES (1,'Public Works',250000.00),(2,'Education',750000.00),(3,'Parks and Recreation',150000.00);
|
UPDATE CityBudget SET BudgetAmount = BudgetAmount * 1.1 WHERE Department = 'Parks and Recreation';
|
How many accidents were reported for vessels in the 'Pacific' region?
|
CREATE TABLE Accidents (ID INT PRIMARY KEY,VesselID INT,Region TEXT); INSERT INTO Accidents (ID,VesselID,Region) VALUES (1,1,'Atlantic'),(2,2,'Pacific'),(3,3,'Atlantic');
|
SELECT COUNT(*) FROM Accidents WHERE Region = 'Pacific';
|
How many students have been served in each accommodation category?
|
CREATE TABLE Accommodations (student_id INT,accommodation_type TEXT); CREATE VIEW Accommodation_Counts AS SELECT accommodation_type,COUNT(*) FROM Accommodations GROUP BY accommodation_type;
|
SELECT * FROM Accommodation_Counts;
|
What is the total revenue for each salesperson in the sales database?
|
CREATE TABLE sales (salesperson VARCHAR(20),revenue INT); INSERT INTO sales (salesperson,revenue) VALUES ('John',5000),('Jane',7000),('Doe',6000);
|
SELECT salesperson, SUM(revenue) FROM sales GROUP BY salesperson;
|
What is the average distance run by users in a specific neighborhood?
|
CREATE TABLE Runs (id INT,user_id INT,distance FLOAT,neighborhood TEXT); INSERT INTO Runs (id,user_id,distance,neighborhood) VALUES (1,1,5.6,'West Village'),(2,2,7.2,'Silver Lake');
|
SELECT AVG(distance) FROM Runs WHERE neighborhood = 'West Village';
|
What is the maximum cargo weight handled by the ACME Shipping Company in a single port call?
|
CREATE TABLE cargo (id INT,vessel_name VARCHAR(255),port_name VARCHAR(255),weight INT); INSERT INTO cargo (id,vessel_name,port_name,weight) VALUES (1,'Seafarer','Port of Los Angeles',5000),(2,'Oceanus','Port of New York',7000),(3,'Neptune','Port of Singapore',8000),(4,'Seafarer','Port of Los Angeles',6000);
|
SELECT MAX(weight) FROM cargo WHERE vessel_name IN (SELECT name FROM vessels WHERE company = 'ACME Shipping');
|
What is the average depth of all marine protected areas in the Indian and Atlantic regions?
|
CREATE TABLE marine_protected_areas (name VARCHAR(255),location VARCHAR(255),depth FLOAT); INSERT INTO marine_protected_areas (name,location,depth) VALUES ('MPA 1','Indian',150.7); INSERT INTO marine_protected_areas (name,location,depth) VALUES ('MPA 2','Atlantic',200.3);
|
SELECT AVG(depth) FROM marine_protected_areas WHERE location IN ('Indian', 'Atlantic');
|
What is the total number of protected areas in each country?
|
CREATE TABLE countries (country_code CHAR(2),country_name VARCHAR(50)); CREATE TABLE protected_areas (area_id INT,area_name VARCHAR(50),country_code CHAR(2)); INSERT INTO countries (country_code,country_name) VALUES ('CA','Canada'),('US','United States'),('DK','Denmark'); INSERT INTO protected_areas (area_id,area_name,country_code) VALUES (1,'Waterton Lakes National Park','CA'),(2,'Banff National Park','CA'),(3,'Glacier National Park','US'),(4,'Thy National Park','DK');
|
SELECT country_code, COUNT(*) as total_protected_areas FROM protected_areas GROUP BY country_code;
|
What is the total amount of research grants awarded to women principal investigators in the last 3 years?
|
CREATE TABLE research_grants (id INT,pi_gender VARCHAR(10),year INT,amount INT); INSERT INTO research_grants (id,pi_gender,year,amount) VALUES (1,'Female',2020,50000); INSERT INTO research_grants (id,pi_gender,year,amount) VALUES (2,'Male',2019,75000);
|
SELECT SUM(amount) FROM research_grants WHERE pi_gender = 'Female' AND year BETWEEN 2019 AND 2021;
|
How many hotels adopted AI in the Americas and Europe?
|
CREATE TABLE ai_adoption (hotel_id INT,hotel_name VARCHAR(255),region VARCHAR(255),ai_adopted INT);
|
SELECT SUM(ai_adopted) FROM ai_adoption WHERE region IN ('Americas', 'Europe');
|
What is the average transaction amount for each product type?
|
CREATE TABLE product_types (id INT,product_type VARCHAR(50)); INSERT INTO product_types (id,product_type) VALUES (1,'Stocks'),(2,'Bonds'); CREATE TABLE transactions (product_type_id INT,transaction_amount DECIMAL(10,2)); INSERT INTO transactions (product_type_id,transaction_amount) VALUES (1,200.00),(1,300.00),(2,100.00),(2,400.00);
|
SELECT p.product_type, AVG(t.transaction_amount) as avg_transaction_amount FROM product_types p JOIN transactions t ON p.id = t.product_type_id GROUP BY p.product_type;
|
What is the total duration of strength training workouts for users aged 25-35?
|
CREATE TABLE workouts (id INT,user_id INT,workout_type VARCHAR(20),duration INT); INSERT INTO workouts (id,user_id,workout_type,duration) VALUES (1,101,'Strength Training',60),(2,102,'Strength Training',90),(3,103,'Strength Training',45),(4,104,'Yoga',30); CREATE TABLE users (id INT,birthdate DATE); INSERT INTO users (id,birthdate) VALUES (101,'1996-01-01'),(102,'1989-05-20'),(103,'1978-12-15'),(104,'2000-06-03');
|
SELECT SUM(duration) as total_duration FROM workouts JOIN users ON workouts.user_id = users.id WHERE users.birthdate BETWEEN '1986-01-01' AND '1996-12-31' AND workout_type = 'Strength Training';
|
Which menu items were inspected by the Food Safety Agency in the last 30 days?
|
CREATE TABLE menu_items (item_id INT,name VARCHAR(255),category VARCHAR(255)); INSERT INTO menu_items (item_id,name,category) VALUES (1,'Burger','Main Course'),(2,'Salad','Side Dish'); CREATE TABLE inspections (inspection_id INT,item_id INT,date DATE,result VARCHAR(255)); INSERT INTO inspections (inspection_id,item_id,date,result) VALUES (1,1,'2022-02-01','Passed'),(2,1,'2022-02-15','Passed'),(3,2,'2022-02-10','Failed');
|
SELECT m.name, i.date FROM menu_items m JOIN inspections i ON m.item_id = i.item_id WHERE i.date >= DATE(NOW()) - INTERVAL 30 DAY;
|
What is the total amount of funding received by public schools in the state of California in 2021 and 2022, using a cross join?
|
CREATE TABLE school_funding (state VARCHAR(255),year INT,school_name VARCHAR(255),funding_amount FLOAT); INSERT INTO school_funding (state,year,school_name,funding_amount) VALUES ('California',2021,'School A',500000.00),('California',2021,'School B',600000.00),('California',2021,'School C',700000.00),('California',2022,'School A',550000.00),('California',2022,'School B',650000.00),('California',2022,'School C',750000.00); CREATE TABLE schools (school_name VARCHAR(255),school_type VARCHAR(255)); INSERT INTO schools (school_name,school_type) VALUES ('School A','Public'),('School B','Public'),('School C','Public');
|
SELECT s.school_name, SUM(sf.funding_amount) AS total_funding_amount FROM school_funding sf CROSS JOIN schools s WHERE sf.state = 'California' AND sf.year IN (2021, 2022) AND s.school_type = 'Public' GROUP BY s.school_name;
|
Calculate the percentage of mobile subscribers using 4G technology in each country.
|
CREATE TABLE mobile_subscribers_2 (id INT,country VARCHAR(20),technology VARCHAR(10)); INSERT INTO mobile_subscribers_2 (id,country,technology) VALUES (1,'USA','4G'); INSERT INTO mobile_subscribers_2 (id,country,technology) VALUES (2,'Canada','5G');
|
SELECT country, technology, COUNT(*) as total, (COUNT(*) FILTER (WHERE technology = '4G')::FLOAT / COUNT(*)) * 100 as percentage FROM mobile_subscribers_2 GROUP BY country, technology HAVING technology = '4G';
|
What is the number of accessible technology initiatives in Asia?
|
CREATE TABLE accessible_tech (region VARCHAR(20),initiatives INT); INSERT INTO accessible_tech (region,initiatives) VALUES ('Africa',50),('Asia',75),('South America',100);
|
SELECT initiatives FROM accessible_tech WHERE region = 'Asia';
|
What is the average carbon price in India and Canada?
|
CREATE TABLE carbon_pricing (country VARCHAR(20),carbon_price DECIMAL(5,2)); INSERT INTO carbon_pricing (country,carbon_price) VALUES ('Germany',25.00),('France',32.00),('USA',12.00),('UK',28.00),('Italy',22.00),('India',8.00),('Canada',18.00);
|
SELECT AVG(carbon_price) FROM carbon_pricing WHERE country IN ('India', 'Canada');
|
List health insurance policy types and their respective average claim amounts.
|
CREATE TABLE HealthPolicyTypes (PolicyTypeID int,PolicyType varchar(20)); CREATE TABLE HealthClaims (ClaimID int,PolicyTypeID int,ClaimAmount decimal); INSERT INTO HealthPolicyTypes (PolicyTypeID,PolicyType) VALUES (1,'Health Maintenance Organization'); INSERT INTO HealthPolicyTypes (PolicyTypeID,PolicyType) VALUES (2,'Preferred Provider Organization'); INSERT INTO HealthClaims (ClaimID,PolicyTypeID,ClaimAmount) VALUES (1,1,1200); INSERT INTO HealthClaims (ClaimID,PolicyTypeID,ClaimAmount) VALUES (2,2,1800);
|
SELECT HealthPolicyTypes.PolicyType, AVG(HealthClaims.ClaimAmount) FROM HealthPolicyTypes INNER JOIN HealthClaims ON HealthPolicyTypes.PolicyTypeID = HealthClaims.PolicyTypeID GROUP BY HealthPolicyTypes.PolicyType;
|
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