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What is the average environmental impact score of mining operations in Australia that were established after 2010? | CREATE TABLE mining_operations (id INT,location VARCHAR(255),established_year INT,environmental_impact_score INT); INSERT INTO mining_operations (id,location,established_year,environmental_impact_score) VALUES (1,'Australia',2005,60),(2,'Australia',2012,70),(3,'Australia',2008,50); | SELECT AVG(environmental_impact_score) FROM mining_operations WHERE location = 'Australia' AND established_year > 2010; |
What is the total number of user interactions from the 'Northeast' region? | CREATE TABLE regions (region_id INT,region_name VARCHAR(50)); INSERT INTO regions (region_id,region_name) VALUES (1,'Northeast'); INSERT INTO regions (region_id,region_name) VALUES (2,'Southeast'); CREATE TABLE user_interactions (user_id INT,article_id INT,interaction_date DATE,region_id INT); INSERT INTO user_interactions (user_id,article_id,interaction_date,region_id) VALUES (1,101,'2021-01-01',1); INSERT INTO user_interactions (user_id,article_id,interaction_date,region_id) VALUES (2,102,'2021-01-02',2); | SELECT COUNT(user_interactions.interaction_id) FROM user_interactions WHERE user_interactions.region_id = (SELECT region_id FROM regions WHERE regions.region_name = 'Northeast'); |
What is the average word count of articles written by female authors? | CREATE TABLE news_articles (id INT,title VARCHAR(100),content TEXT,word_count INT,author_gender VARCHAR(10)); | SELECT AVG(word_count) FROM news_articles WHERE author_gender = 'Female'; |
What is the total savings of customers in the East region? | CREATE TABLE customers (id INT,name TEXT,region TEXT,savings REAL); | SELECT SUM(savings) FROM customers WHERE region = 'East'; |
What are the names and success statuses of intelligence operations conducted in 'Russia' according to the 'Intel_Ops' table? | CREATE TABLE Intel_Ops (ops_id INT,ops_name VARCHAR(50),ops_location VARCHAR(50),ops_year INT,ops_success BOOLEAN); INSERT INTO Intel_Ops (ops_id,ops_name,ops_location,ops_year,ops_success) VALUES (1,'Operation Red Sparrow','Russia',2020,true); INSERT INTO Intel_Ops (ops_id,ops_name,ops_location,ops_year,ops_success) VALUES (2,'Operation Black Swan','Iran',2019,false); | SELECT ops_name, ops_success FROM Intel_Ops WHERE ops_location = 'Russia'; |
Calculate the total water usage for all mining operations, per month | CREATE TABLE WaterUsage (SiteID INT,UsageDate DATE,AmountUsed INT); INSERT INTO WaterUsage (SiteID,UsageDate,AmountUsed) VALUES (1,'2021-01-01',500),(1,'2021-01-15',700); | SELECT DATE_FORMAT(UsageDate, '%Y-%m') as Month, SUM(AmountUsed) as TotalWaterUsage FROM WaterUsage GROUP BY Month; |
What is the maximum depth and average temperature of the Atlantic Ocean where marine species reside, grouped by species? | CREATE TABLE marine_species_atlantic_ocean (id INT,species_name VARCHAR(255),population INT,habitat VARCHAR(255)); INSERT INTO marine_species_atlantic_ocean (id,species_name,population,habitat) VALUES (1,'Blue Whale',10000,'Atlantic Ocean'),(2,'Great White Shark',3000,'Atlantic Ocean'); CREATE TABLE oceanography_atlantic_ocean (region VARCHAR(255),depth FLOAT,temperature FLOAT,salinity FLOAT); INSERT INTO oceanography_atlantic_ocean (region,depth,temperature,salinity) VALUES ('Atlantic Ocean',7000,20,36.5); | SELECT m.species_name, MAX(o.depth) AS max_depth, AVG(o.temperature) AS avg_temperature FROM marine_species_atlantic_ocean m INNER JOIN oceanography_atlantic_ocean o ON m.habitat = o.region GROUP BY m.species_name; |
Show the number of sustainable tourism initiatives in Spain and Portugal. | CREATE TABLE sustainable_tourism (initiative_id INT,name TEXT,country TEXT); INSERT INTO sustainable_tourism VALUES (1,'Eco-friendly Beaches','Spain'),(2,'Sustainable Wine Tourism','Spain'),(3,'Green Energy Sites','Portugal'); | SELECT country, COUNT(*) FROM sustainable_tourism GROUP BY country; |
Count the number of athletes who have competed in the Olympics from Australia | CREATE TABLE athletes (id INT,name VARCHAR(50),country VARCHAR(50),sport VARCHAR(20)); | SELECT COUNT(*) FROM athletes WHERE country = 'Australia' AND sport IN (SELECT sport FROM events WHERE name LIKE '%Olympics%'); |
How many donors made donations in each quarter of 2021? | CREATE TABLE donations (donor_id INT,donation_date DATE); INSERT INTO donations (donor_id,donation_date) VALUES (1,'2021-01-01'),(1,'2021-04-01'),(2,'2021-02-01'),(2,'2021-03-01'),(3,'2021-04-01'); | SELECT CONCAT('Q', QUARTER(donation_date)) as quarter, COUNT(DISTINCT donor_id) as num_donors FROM donations WHERE YEAR(donation_date) = 2021 GROUP BY quarter; |
What is the average rating of hotels in the 'Luxury' category? | CREATE TABLE Hotels (hotel_id INT,hotel_name VARCHAR(100),category VARCHAR(50),rating FLOAT); INSERT INTO Hotels (hotel_id,hotel_name,category,rating) VALUES (1,'Hotel A','Boutique',4.6),(2,'Hotel B','Boutique',4.3),(3,'Hotel C','Economy',3.5),(4,'Hotel D','Economy',3.8),(5,'Hotel E','Luxury',4.9),(6,'Hotel F','Luxury',4.7); | SELECT AVG(rating) FROM Hotels WHERE category = 'Luxury'; |
Which countries have the most ethical AI initiatives, and how many of them are focused on social good? | CREATE SCHEMA if not exists ai_stats; CREATE TABLE if not exists ai_stats.ethical_initiatives (country VARCHAR(255),initiatives INT,focused_on_social_good BOOLEAN); INSERT INTO ai_stats.ethical_initiatives (country,initiatives,focused_on_social_good) VALUES ('USA',100,true),('Canada',50,false),('Germany',75,true),('South Africa',25,true); | SELECT country, SUM(focused_on_social_good) as focused_on_social_good, MAX(initiatives) as initiatives FROM ai_stats.ethical_initiatives GROUP BY country ORDER BY initiatives DESC; |
What is the minimum number of community development projects completed in Africa in the last 5 years? | CREATE TABLE community_development (id INT,location VARCHAR(255),year INT,completed BOOLEAN); | SELECT MIN(year) - 5, MIN(completed) FROM community_development WHERE location LIKE '%Africa%' AND completed = TRUE AND year > (SELECT MAX(year) FROM community_development WHERE location LIKE '%Africa%' AND completed = TRUE AND year < (SELECT MAX(year) FROM community_development WHERE location LIKE '%Africa%') - 5); |
What is the sum of volunteer hours per country in Q1 2022? | CREATE TABLE q1_volunteer_hours (id INT,volunteer_name VARCHAR(50),country VARCHAR(50),volunteer_hours INT); INSERT INTO q1_volunteer_hours (id,volunteer_name,country,volunteer_hours) VALUES (1,'Kwame','Ghana',10),(2,'Priya','India',15),(3,'Kwame','Ghana',12); | SELECT country, SUM(volunteer_hours) as total_volunteer_hours FROM q1_volunteer_hours WHERE volunteer_date BETWEEN '2022-01-01' AND '2022-03-31' GROUP BY country; |
Update the salary of all employees in the IT department by 5%. | CREATE TABLE employees (id INT,name VARCHAR(50),department VARCHAR(50),salary DECIMAL(5,2)); INSERT INTO employees (id,name,department,salary) VALUES (1,'John Doe','IT',50000.00); INSERT INTO employees (id,name,department,salary) VALUES (2,'Jane Smith','HR',55000.00); | UPDATE employees SET salary = salary * 1.05 WHERE department = 'IT'; |
Find the risk assessment details for the company with ID 4. | CREATE TABLE risk_assessment (company_id INT,risk_level VARCHAR(10),mitigation_strategy TEXT); INSERT INTO risk_assessment (company_id,risk_level,mitigation_strategy) VALUES (4,'medium','Regular audits and employee trainings.'),(5,'low','Minor improvements in supply chain management.'),(6,'high','Immediate actions to reduce environmental impact.'); | SELECT * FROM risk_assessment WHERE company_id = 4; |
Identify the artist with the most works displayed in galleries located in New York, and show the number of works and gallery names. | CREATE TABLE Artists (id INT,name VARCHAR(30)); CREATE TABLE Works (id INT,artist_id INT,title VARCHAR(50)); CREATE TABLE Gallery_Works (id INT,gallery_id INT,work_id INT); CREATE TABLE Galleries (id INT,name VARCHAR(30),city VARCHAR(20)); | SELECT a.name, COUNT(w.id) as num_works, g.name as gallery_name FROM Artists a JOIN Works w ON a.id = w.artist_id JOIN Gallery_Works gw ON w.id = gw.work_id JOIN Galleries g ON gw.gallery_id = g.id WHERE g.city = 'New York' GROUP BY a.name, g.name ORDER BY num_works DESC LIMIT 1; |
List the programs that have had the most volunteers over the past 12 months, excluding the 'Food Bank' program? | CREATE TABLE Programs (id INT,program_name VARCHAR(255)); CREATE TABLE Volunteers (id INT,volunteer_name VARCHAR(255),program VARCHAR(255),volunteer_date DATE); INSERT INTO Programs (id,program_name) VALUES (1,'Food Bank'),(2,'Education'),(3,'Healthcare'); INSERT INTO Volunteers (id,volunteer_name,program,volunteer_date) VALUES (1,'John Doe','Education','2021-01-01'),(2,'Jane Smith','Healthcare','2021-02-01'),(3,'Alice Johnson','Food Bank','2021-03-01'); | SELECT program_name, COUNT(*) as total_volunteers FROM Programs p INNER JOIN Volunteers v ON p.program_name = v.program WHERE program_name != 'Food Bank' AND volunteer_date >= DATE_SUB(CURDATE(), INTERVAL 12 MONTH) GROUP BY program_name ORDER BY total_volunteers DESC LIMIT 1; |
What is the percentage of female workers in each department, and which department has the highest percentage of female workers? | CREATE TABLE Departments (DepartmentID INT,DepartmentName VARCHAR(50),ManagerID INT);CREATE TABLE Employees (EmployeeID INT,DepartmentID INT,FirstName VARCHAR(50),LastName VARCHAR(50),Gender VARCHAR(10));CREATE VIEW DepartmentGender AS SELECT DepartmentID,FirstName,LastName,Gender,COUNT(*) OVER (PARTITION BY DepartmentID) AS DepartmentSize,COUNT(*) FILTER (WHERE Gender = 'Female') OVER (PARTITION BY DepartmentID) AS FemaleCount FROM Employees;CREATE VIEW DepartmentFemalePercentage AS SELECT DepartmentID,ROUND((FemaleCount::DECIMAL / DepartmentSize::DECIMAL) * 100,2) AS FemalePercentage FROM DepartmentGender; | SELECT DepartmentName, FemalePercentage FROM DepartmentFemalePercentage WHERE FemalePercentage = (SELECT MAX(FemalePercentage) FROM DepartmentFemalePercentage); |
Show the number of veterans hired in each state for the last 6 months, excluding California | CREATE TABLE veteran_employment (employment_id INT,veteran_state VARCHAR(2),hire_date DATE); INSERT INTO veteran_employment (employment_id,veteran_state,hire_date) VALUES (1,'CA','2021-02-15'),(2,'TX','2021-08-24'),(3,'NY','2021-07-02'),(4,'CA','2021-11-10'),(5,'NJ','2021-05-15'); | SELECT veteran_state, COUNT(*) AS hires FROM veteran_employment WHERE hire_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH) AND veteran_state != 'CA' GROUP BY veteran_state; |
What is the total renewable energy subsidy (in USD) for each country, ranked from highest to lowest? | CREATE TABLE renewable_subsidy (country VARCHAR(50),subsidy FLOAT); INSERT INTO renewable_subsidy (country,subsidy) VALUES ('Country E',8000000),('Country F',7000000),('Country G',9000000),('Country H',6000000); | SELECT country, subsidy, ROW_NUMBER() OVER (ORDER BY subsidy DESC) as rank FROM renewable_subsidy; |
What is the total number of carbon offset projects in the 'carbon_offset_projects' table, and what is the total quantity of offsets sold by these projects? | CREATE TABLE carbon_offset_projects (id INT,country VARCHAR(255),name VARCHAR(255),offset_type VARCHAR(255),total_offset_quantity INT,offset_price FLOAT,start_date DATE,end_date DATE); INSERT INTO carbon_offset_projects (id,country,name,offset_type,total_offset_quantity,offset_price,start_date,end_date) VALUES (1,'Brazil','Amazon Rainforest Protection','Forestation',1000000,15.00,'2022-01-01','2030-12-31'),(2,'Indonesia','Peatland Restoration','Reforestation',500000,20.00,'2021-01-01','2025-12-31'); | SELECT COUNT(*) as project_count, SUM(total_offset_quantity) as total_offset_quantity FROM carbon_offset_projects; |
Who are the top 3 customers with the highest total cost of orders in the year 2022? | CREATE TABLE Customers (customer_id INT,first_name VARCHAR(15),last_name VARCHAR(15)); CREATE TABLE Orders (order_id INT,customer_id INT,order_date DATE); CREATE TABLE Order_Items (order_item_id INT,order_id INT,menu_id INT,quantity INT); CREATE TABLE Menu (menu_id INT,menu_name VARCHAR(20),is_vegetarian BOOLEAN); CREATE TABLE Inventory (inventory_id INT,menu_id INT,inventory_cost FLOAT); INSERT INTO Customers (customer_id,first_name,last_name) VALUES (1,'John','Doe'),(2,'Jane','Doe'),(3,'Bob','Smith'),(4,'Amy','Johnson'); INSERT INTO Orders (order_id,customer_id,order_date) VALUES (1,1,'2022-01-01'),(2,1,'2022-01-02'),(3,2,'2022-01-03'),(4,1,'2022-01-04'),(5,3,'2022-01-05'); INSERT INTO Order_Items (order_item_id,order_id,menu_id,quantity) VALUES (1,1,1,2),(2,2,2,1),(3,3,3,3),(4,4,1,1),(5,5,4,2); INSERT INTO Menu (menu_id,menu_name,is_vegetarian) VALUES (1,'Breakfast',TRUE),(2,'Lunch',FALSE),(3,'Dinner',FALSE),(4,'Dessert',FALSE); INSERT INTO Inventory (inventory_id,menu_id,inventory_cost) VALUES (1,1,5.0),(2,2,3.5),(3,1,8.0),(4,3,7.0),(5,4,4.0); | SELECT Customers.first_name, Customers.last_name, SUM(Inventory.inventory_cost * Order_Items.quantity) AS total_cost FROM Customers INNER JOIN Orders ON Customers.customer_id = Orders.customer_id INNER JOIN Order_Items ON Orders.order_id = Order_Items.order_id INNER JOIN Menu ON Order_Items.menu_id = Menu.menu_id INNER JOIN Inventory ON Menu.menu_id = Inventory.menu_id WHERE YEAR(Orders.order_date) = 2022 GROUP BY Customers.customer_id ORDER BY total_cost DESC LIMIT 3; |
What is the average sustainability rating for each product category? | CREATE TABLE product_categories (id INT,product_id INT,category VARCHAR(255)); INSERT INTO product_categories (id,product_id,category) VALUES (1,1,'Electronics'),(2,2,'Clothing'),(3,3,'Home Appliances'); CREATE TABLE products (id INT,name VARCHAR(255),supplier_id INT,category VARCHAR(255),sustainability_rating FLOAT); INSERT INTO products (id,name,supplier_id,category,sustainability_rating) VALUES (1,'Product X',1,'Electronics',4.3),(2,'Product Y',2,'Clothing',4.7),(3,'Product Z',3,'Home Appliances',3.5); | SELECT pc.category, AVG(p.sustainability_rating) as avg_sustainability_rating FROM product_categories pc JOIN products p ON pc.product_id = p.id GROUP BY pc.category; |
What is the average number of eco-friendly tours booked per month in Asia and Europe? | CREATE TABLE Tours (region TEXT,tour_type TEXT,bookings NUMERIC); INSERT INTO Tours (region,tour_type,bookings) VALUES ('Asia','Eco-Friendly',300),('Asia','Regular',500),('Europe','Eco-Friendly',400),('Europe','Regular',600); | SELECT region, AVG(bookings) FROM Tours WHERE tour_type = 'Eco-Friendly' GROUP BY region; |
What is the average risk assessment for policies in Texas by Underwriting team? | CREATE TABLE UnderwritingData (PolicyID INT,Team VARCHAR(20),RiskAssessment DECIMAL(5,2),State VARCHAR(20)); INSERT INTO UnderwritingData VALUES (1,'Team A',0.35,'California'),(2,'Team B',0.20,'California'),(3,'Team A',0.15,'Texas'); | SELECT Team, AVG(RiskAssessment) FROM UnderwritingData WHERE State = 'Texas' GROUP BY Team; |
List of unique mental health conditions treated in India. | CREATE TABLE conditions (condition_id INT,condition VARCHAR(50)); INSERT INTO conditions (condition_id,condition) VALUES (1,'Depression'),(2,'Anxiety'),(3,'Bipolar Disorder'); CREATE TABLE patients (patient_id INT,condition_id INT,country VARCHAR(50)); INSERT INTO patients (patient_id,condition_id,country) VALUES (1,1,'India'),(2,2,'Canada'),(3,3,'India'); | SELECT DISTINCT conditions.condition FROM conditions INNER JOIN patients ON conditions.condition_id = patients.condition_id WHERE patients.country = 'India'; |
What is the minimum age of employees who identify as transgender or non-binary and have completed diversity training? | CREATE TABLE EmployeeDetails (EmployeeID INT,Age INT,GenderIdentity VARCHAR(20),DiversityTraining BOOLEAN); INSERT INTO EmployeeDetails (EmployeeID,Age,GenderIdentity,DiversityTraining) VALUES (1,30,'Transgender',TRUE),(2,40,'Female',FALSE),(3,25,'Non-binary',TRUE); | SELECT MIN(Age) FROM EmployeeDetails WHERE GenderIdentity IN ('Transgender', 'Non-binary') AND DiversityTraining = TRUE; |
What is the total revenue for each art exhibition? | CREATE TABLE Exhibitions (id INT,name VARCHAR(255),location VARCHAR(255),start_date DATE,end_date DATE,revenue FLOAT); | SELECT name, SUM(revenue) FROM Exhibitions GROUP BY name; |
Identify the animal species and their average weight in each habitat | CREATE TABLE animals (id INT,name VARCHAR(20),species VARCHAR(20),habitat_id INT,weight DECIMAL(5,2)); INSERT INTO animals (id,name,species,habitat_id,weight) VALUES (1,'Elephant','African',1,6000),(2,'Lion','African',2,400),(3,'Hippo','African',2,3000),(4,'Tiger','Asian',3,300),(5,'Crane','African',3,100),(6,'Rhinoceros','African',1,2000),(7,'Zebra','African',2,450); CREATE TABLE habitats (id INT,type VARCHAR(20)); INSERT INTO habitats (id,type) VALUES (1,'Forest'),(2,'Savannah'),(3,'Wetlands'); | SELECT h.type, a.species, AVG(a.weight) as avg_weight FROM animals a JOIN habitats h ON a.habitat_id = h.id GROUP BY h.type, a.species; |
Insert a new record for a 100-hectare wildlife habitat in India. | CREATE TABLE wildlife_habitats (id INT,name VARCHAR(50),area_ha FLOAT,country VARCHAR(50)); | INSERT INTO wildlife_habitats (name, area_ha, country) VALUES ('Indian Wildlife', 100.0, 'India'); |
List the astronauts who have spent the least time in space, and their total days in space | CREATE TABLE astronauts (name VARCHAR(255),days_in_space FLOAT); INSERT INTO astronauts (name,days_in_space) VALUES ('John Doe',450); INSERT INTO astronauts (name,days_in_space) VALUES ('Jane Smith',600); INSERT INTO astronauts (name,days_in_space) VALUES ('Mike Johnson',550); | SELECT name, MIN(days_in_space) FROM astronauts; |
Find the top 3 dates in the 'satellite_data' table with the lowest temperature for 'Field_6'. | CREATE TABLE satellite_data (field VARCHAR(255),temperature FLOAT,date DATE); | SELECT date, temperature FROM (SELECT date, temperature, ROW_NUMBER() OVER (PARTITION BY field ORDER BY temperature ASC) as rn FROM satellite_data WHERE field = 'Field_6') t WHERE rn <= 3; |
What is the maximum fare for train trips in Oslo? | CREATE TABLE if not exists oslo_train_trips (id INT,trip_id INT,fare DECIMAL(5,2),route_id INT,vehicle_id INT,timestamp TIMESTAMP); | SELECT MAX(fare) FROM oslo_train_trips WHERE fare IS NOT NULL; |
What is the total funding amount for biotech startups in the Asia-Pacific region? | CREATE TABLE Startups (startup_id INT,startup_name TEXT,industry TEXT,total_funding FLOAT); CREATE VIEW BiotechStartups AS SELECT * FROM Startups WHERE industry = 'Biotech'; CREATE VIEW AsiaPacificStartups AS SELECT * FROM Startups WHERE region = 'Asia-Pacific'; | SELECT SUM(total_funding) FROM BiotechStartups INNER JOIN AsiaPacificStartups ON BiotechStartups.startup_id = AsiaPacificStartups.startup_id; |
Which state has the highest gold production per employee? | CREATE TABLE companies (id INT,state VARCHAR(20),employees INT,gold_production FLOAT); INSERT INTO companies (id,state,employees,gold_production) VALUES (1,'Queensland',50,12000.5),(2,'NewSouthWales',75,18000.3),(3,'Victoria',100,25000.0); | SELECT state, MAX(gold_production/employees) as productivity FROM companies; |
Update the 'military_equipment' table to change the 'equipment_type' of 'Item 123' to 'Aircraft' | CREATE TABLE military_equipment (equipment_id INT PRIMARY KEY,equipment_type VARCHAR(50),manufactured_year INT,quantity INT,country VARCHAR(50)); | UPDATE military_equipment SET equipment_type = 'Aircraft' WHERE equipment_id = 123; |
Which Islamic banks have the highest average loan amount in Malaysia? | CREATE TABLE islamic_banks (id INT,bank_name VARCHAR(50),country VARCHAR(50),avg_loan_amount FLOAT); INSERT INTO islamic_banks (id,bank_name,country,avg_loan_amount) VALUES (1,'Bank Islam Malaysia','Malaysia',25000.00),(2,'Maybank Islamic','Malaysia',30000.00); | SELECT country, bank_name, avg_loan_amount, RANK() OVER (ORDER BY avg_loan_amount DESC) as rank FROM islamic_banks WHERE country = 'Malaysia'; |
What is the total population of all birds in the savannah habitat? | CREATE TABLE animals (id INT,name VARCHAR(50),species VARCHAR(50),population INT,habitat VARCHAR(50)); INSERT INTO animals (id,name,species,population,habitat) VALUES (7,'Eagle','Bird',30,'Savannah'); INSERT INTO animals (id,name,species,population,habitat) VALUES (8,'Ostrich','Bird',50,'Savannah'); | SELECT SUM(population) FROM animals WHERE species LIKE '%Bird' AND habitat = 'Savannah'; |
List all campaigns in California that started after 2018 and their corresponding budgets. | CREATE TABLE campaigns (campaign_id INT,state TEXT,start_date DATE); INSERT INTO campaigns (campaign_id,state,start_date) VALUES (1,'California','2018-01-01'),(2,'California','2019-01-01'),(3,'Texas','2017-01-01'); CREATE TABLE campaign_budgets (campaign_id INT,budget INT); INSERT INTO campaign_budgets (campaign_id,budget) VALUES (1,50000),(2,75000),(3,60000); | SELECT campaigns.state, campaign_budgets.budget FROM campaigns JOIN campaign_budgets ON campaigns.campaign_id = campaign_budgets.campaign_id WHERE campaigns.state = 'California' AND campaigns.start_date > '2018-01-01'; |
Show the number of startups founded each year | CREATE TABLE founding_year (company_name VARCHAR(50),founding_year INT); INSERT INTO founding_year (company_name,founding_year) VALUES ('Acme Inc',2010),('Beta Corp',2005),('Echo Startups',2012); | SELECT founding_year, COUNT(*) FROM founding_year GROUP BY founding_year; |
What is the total number of marine protected areas in the Pacific Ocean region? | CREATE TABLE pacific_ocean (id INT,name VARCHAR(100),region VARCHAR(50)); INSERT INTO pacific_ocean (id,name,region) VALUES (1,'Pacific Ocean','Pacific'); CREATE TABLE marine_protected_areas (id INT,name VARCHAR(100),size FLOAT,ocean_id INT); INSERT INTO marine_protected_areas (id,name,size,ocean_id) VALUES (1,'Great Barrier Reef',344400,1); | SELECT COUNT(*) FROM marine_protected_areas mpa INNER JOIN pacific_ocean p ON mpa.ocean_id = p.id; |
Calculate the percentage of employees who are male and female in each department in the "employee", "department", and "gender" tables | CREATE TABLE employee (id INT,department_id INT,gender_id INT); CREATE TABLE department (id INT,name TEXT); CREATE TABLE gender (id INT,name TEXT); | SELECT d.name, (COUNT(CASE WHEN g.name = 'male' THEN 1 END) / COUNT(*)) * 100 AS pct_male, (COUNT(CASE WHEN g.name = 'female' THEN 1 END) / COUNT(*)) * 100 AS pct_female FROM department d JOIN employee e ON d.id = e.department_id JOIN gender g ON e.gender_id = g.id GROUP BY d.name; |
What is the average age of male patients diagnosed with heart disease in rural Alaska? | CREATE TABLE patients (id INT,name VARCHAR(50),age INT,gender VARCHAR(10),state VARCHAR(50)); CREATE TABLE diagnoses (id INT,patient_id INT,diagnosis VARCHAR(50),diagnosis_date DATE); INSERT INTO patients (id,name,age,gender,state) VALUES (1,'John Doe',45,'Male','Alaska'); INSERT INTO diagnoses (id,patient_id,diagnosis) VALUES (1,1,'Heart Disease'); | SELECT AVG(age) FROM patients JOIN diagnoses ON patients.id = diagnoses.patient_id WHERE diagnoses.diagnosis = 'Heart Disease' AND patients.gender = 'Male' AND patients.state = 'Alaska'; |
Insert new records into the museum_operations table for a new exhibit. | CREATE TABLE museum_operations (exhibit_id INT,exhibit_name TEXT,start_date DATE,end_date DATE,daily_visitors INT); | INSERT INTO museum_operations (exhibit_id, exhibit_name, start_date, end_date, daily_visitors) VALUES (1001, 'Contemporary Art from Japan', '2023-03-01', '2023-05-31', 500); |
What is the average rating of VR games released in 2021? | CREATE TABLE Games (GameID INT,GameName VARCHAR(100),Genre VARCHAR(50),ReleaseYear INT,Rating DECIMAL(3,1)); INSERT INTO Games (GameID,GameName,Genre,ReleaseYear,Rating) VALUES (1,'Beat Saber','VR',2018,9.0),(2,'Job Simulator','VR',2016,8.3),(3,'Echo VR','VR',2021,8.7); | SELECT AVG(Rating) FROM Games WHERE Genre = 'VR' AND ReleaseYear = 2021; |
Update the 'mascot' for the 'team' with ID '101' in the 'teams' table | CREATE TABLE teams (id INT PRIMARY KEY,name VARCHAR(50),city VARCHAR(50),mascot VARCHAR(50)); | UPDATE teams SET mascot = 'Green Griffins' WHERE id = 101; |
Which fields had precipitation over 7mm in the last week? | CREATE TABLE field_precipitation (field_id INT,date DATE,precipitation FLOAT); INSERT INTO field_precipitation (field_id,date,precipitation) VALUES (7,'2021-07-01',12.5),(7,'2021-07-02',8.3),(8,'2021-07-03',15.2); | SELECT field_id, COUNT(*) as precipitation_days FROM field_precipitation WHERE field_id IN (7, 8) AND precipitation > 7 GROUP BY field_id HAVING precipitation_days > 0; |
What is the minimum donation amount per state? | CREATE TABLE Donations (id INT,donor_name TEXT,donation_amount DECIMAL(10,2),state TEXT); INSERT INTO Donations (id,donor_name,donation_amount,state) VALUES (1,'John Doe',50.00,'NY'),(2,'Jane Smith',100.00,'CA'); | SELECT state, MIN(donation_amount) FROM Donations GROUP BY state; |
Find the indigenous food systems with the highest and lowest water efficiency scores. | CREATE TABLE indigenous_food_systems_we (system_name VARCHAR(255),we_score FLOAT); | SELECT system_name, MAX(we_score) as highest_we_score, MIN(we_score) as lowest_we_score FROM indigenous_food_systems_we GROUP BY system_name; |
Insert a new record into the 'public_services' table for 'Waste Collection' | CREATE TABLE public_services (service_id INT,service_name VARCHAR(50),service_frequency VARCHAR(20)); | INSERT INTO public_services (service_name) VALUES ('Waste Collection'); |
Select all records from 'veteran_employment' table | CREATE TABLE veteran_employment (id INT PRIMARY KEY,company VARCHAR(255),location VARCHAR(255),job_title VARCHAR(255),num_veterans INT); INSERT INTO veteran_employment (id,company,location,job_title,num_veterans) VALUES (1,'Lockheed Martin','Arlington,VA','Software Engineer',50),(2,'Raytheon Technologies','Cambridge,MA','Hardware Engineer',35); | SELECT * FROM veteran_employment; |
List regions with the lowest energy efficiency and their carbon pricing | CREATE TABLE energy_efficiency (region VARCHAR(20),efficiency INT);CREATE TABLE carbon_pricing (region VARCHAR(20),price DECIMAL(5,2)); | SELECT e.region, e.efficiency, c.price FROM energy_efficiency e JOIN carbon_pricing c ON e.region = c.region WHERE e.efficiency = (SELECT MIN(efficiency) FROM energy_efficiency) LIMIT 1; |
What is the average weight of adult gorillas in the 'Mountain Gorilla' sanctuary that weigh over 150 kg? | CREATE TABLE gorillas (gorilla_id INT,gorilla_name VARCHAR(50),age INT,weight FLOAT,sanctuary VARCHAR(50)); INSERT INTO gorillas (gorilla_id,gorilla_name,age,weight,sanctuary) VALUES (1,'Gorilla_1',12,130,'Mountain Gorilla'); INSERT INTO gorillas (gorilla_id,gorilla_name,age,weight,sanctuary) VALUES (2,'Gorilla_2',8,180,'Mountain Gorilla'); | SELECT AVG(weight) FROM gorillas WHERE sanctuary = 'Mountain Gorilla' AND age >= 18 AND weight > 150; |
How many units of ethically produced clothing items were sold in the last month? | CREATE TABLE sales (sale_id INT,product_category VARCHAR(50),units_sold INT,sale_date DATE); INSERT INTO sales (sale_id,product_category,units_sold,sale_date) VALUES (1,'Ethical Clothing',25,'2022-01-01'),(2,'Regular Clothing',30,'2022-01-02'),(3,'Ethical Clothing',20,'2022-01-03'); | SELECT SUM(units_sold) FROM sales WHERE product_category = 'Ethical Clothing' AND sale_date >= DATEADD(month, -1, CURRENT_DATE); |
Count the number of unique dish categories. | CREATE TABLE dishes (id INT,name TEXT,category TEXT); INSERT INTO dishes (id,name,category) VALUES (1,'Spicy Veggie Burger','Vegan'),(2,'Quinoa Salad','Vegan'),(3,'Beef Tacos','Mexican'),(4,'Chicken Burrito','Mexican'),(5,'Fish and Chips','Seafood'); | SELECT COUNT(DISTINCT category) FROM dishes; |
What is the average age of community health workers who identify as Indigenous? | CREATE TABLE CommunityHealthWorkers (WorkerID INT,Age INT,Identity VARCHAR(255)); INSERT INTO CommunityHealthWorkers VALUES (1,35,'Indigenous'); INSERT INTO CommunityHealthWorkers VALUES (2,40,'Non-Indigenous'); | SELECT Identity, AVG(Age) FROM CommunityHealthWorkers WHERE Identity = 'Indigenous' GROUP BY Identity; |
How many users from the 'users' table, who have their location set to 'Canada', have not posted in the 'food' category from the 'posts' table, in the past 30 days? | CREATE TABLE users (user_id INT,user_category VARCHAR(20),user_location VARCHAR(20)); CREATE TABLE posts (post_id INT,user_id INT,post_category VARCHAR(20),post_date DATE); | SELECT COUNT(DISTINCT user_id) FROM users WHERE user_location = 'Canada' AND user_id NOT IN (SELECT user_id FROM posts WHERE post_category = 'food' AND post_date >= CURDATE() - INTERVAL 30 DAY); |
Delete all AI safety research papers published before 2015. | CREATE TABLE ai_safety_papers (year INT,paper_title VARCHAR(255),author_name VARCHAR(255)); INSERT INTO ai_safety_papers (year,paper_title,author_name) VALUES ('2014','SafeAI: A Framework for Safe Artificial Intelligence','John Doe'); | DELETE FROM ai_safety_papers WHERE year < 2015; |
List all restaurants in California that source ingredients from sustainable suppliers. | CREATE TABLE Restaurant (id INT,name VARCHAR(50),type VARCHAR(50),location VARCHAR(50)); INSERT INTO Restaurant (id,name,type,location) VALUES (1,'Plant-Based Bistro','Vegan','California'); INSERT INTO Restaurant (id,name,type,location) VALUES (2,'Seafood Shack','Seafood','Florida'); CREATE TABLE Supplier (id INT,name VARCHAR(50),location VARCHAR(50),sustainable BOOLEAN); INSERT INTO Supplier (id,name,location,sustainable) VALUES (1,'Green Growers','California',true); INSERT INTO Supplier (id,name,location,sustainable) VALUES (2,'Fresh Catch','Florida',false); CREATE TABLE RestaurantSupplier (restaurant_id INT,supplier_id INT); INSERT INTO RestaurantSupplier (restaurant_id,supplier_id) VALUES (1,1); | SELECT Restaurant.name FROM Restaurant INNER JOIN RestaurantSupplier ON Restaurant.id = RestaurantSupplier.restaurant_id INNER JOIN Supplier ON RestaurantSupplier.supplier_id = Supplier.id WHERE Restaurant.location = 'California' AND Supplier.sustainable = true; |
What is the maximum weekly wage for union workers in the 'healthcare' sector? | CREATE TABLE union_wages (id INT,sector VARCHAR(20),wage FLOAT); INSERT INTO union_wages (id,sector,wage) VALUES (1,'healthcare',1000),(2,'technology',1500),(3,'healthcare',1200); | SELECT sector, MAX(wage) as max_wage FROM union_wages WHERE sector = 'healthcare' GROUP BY sector; |
What is the minimum capacity of any carbon pricing policy in the 'carbon_pricing' schema? | CREATE SCHEMA carbon_pricing; CREATE TABLE carbon_pricing_policies (name TEXT,capacity INTEGER); INSERT INTO carbon_pricing_policies (name,capacity) VALUES ('Policy A',400),('Policy B',800); | SELECT MIN(capacity) FROM carbon_pricing.carbon_pricing_policies; |
What is the total revenue generated from garment manufacturing in 'Oceania' in Q1 2022? | CREATE TABLE oceania_manufacturing(region VARCHAR(20),revenue INT,manufacturing_date DATE); INSERT INTO oceania_manufacturing (region,revenue,manufacturing_date) VALUES ('Oceania',4000,'2022-01-01'); INSERT INTO oceania_manufacturing (region,revenue,manufacturing_date) VALUES ('Oceania',5000,'2022-01-02'); | SELECT SUM(revenue) FROM oceania_manufacturing WHERE region = 'Oceania' AND manufacturing_date BETWEEN '2022-01-01' AND '2022-03-31'; |
List all marine protected areas in the Caribbean and the number of species they protect. | CREATE TABLE marine_protected_areas (id INT,name VARCHAR(255),region VARCHAR(255)); CREATE TABLE protected_species (id INT,area_id INT,species_name VARCHAR(255)); INSERT INTO marine_protected_areas (id,name,region) VALUES (1,'Bahamas National Trust','Caribbean'),(2,'Marine Protected Areas in Belize','Caribbean'); INSERT INTO protected_species (id,area_id,species_name) VALUES (1,1,'Queen Conch'),(2,1,'Nassau Grouper'),(3,2,'Queen Conch'),(4,2,'Hawksbill Turtle'); | SELECT marine_protected_areas.name, COUNT(DISTINCT protected_species.species_name) FROM marine_protected_areas INNER JOIN protected_species ON marine_protected_areas.id = protected_species.area_id WHERE marine_protected_areas.region = 'Caribbean' GROUP BY marine_protected_areas.name; |
What is the total budget for programs in the Middle East and Europe? | CREATE TABLE Programs (id INT,name TEXT,region TEXT,budget FLOAT); INSERT INTO Programs (id,name,region,budget) VALUES (1,'Refugee Support','Middle East',1500.0),(2,'Cultural Exchange','Europe',2500.0); | SELECT SUM(budget) FROM Programs WHERE region IN ('Middle East', 'Europe'); |
Calculate the average safety rating of cosmetic products in the European market. | CREATE TABLE products (product_id INT,market TEXT,safety_rating FLOAT); | SELECT market, AVG(safety_rating) as avg_safety_rating FROM products WHERE market = 'Europe' GROUP BY market; |
How many garments of each type were sold in the last 30 days, ordered by the number of garments sold? | CREATE TABLE garment (garment_id INT,type VARCHAR(50)); CREATE TABLE sales (sales_id INT,sale_date DATE,garment_id INT); | SELECT type, COUNT(*) AS quantity_sold FROM garment INNER JOIN sales ON garment.garment_id = sales.garment_id WHERE sale_date >= CURRENT_DATE - INTERVAL '30 days' GROUP BY type ORDER BY quantity_sold DESC; |
How many timber harvests occurred in each year in the 'harvest_year' table? | CREATE TABLE harvest_year (id INT,year INT,quantity INT); INSERT INTO harvest_year (id,year,quantity) VALUES (1,2010,1200),(2,2011,1500),(3,2012,1300),(4,2013,1800); | SELECT year, COUNT(*) FROM harvest_year GROUP BY year; |
What is the difference in speed between the fastest and slowest electric vehicles in the 'fleet' table? | CREATE TABLE fleet (id INT,vehicle_type VARCHAR(20),speed FLOAT,date DATE); INSERT INTO fleet (id,vehicle_type,speed,date) VALUES (1,'ElectricCar',80.5,'2022-03-01'); INSERT INTO fleet (id,vehicle_type,speed,date) VALUES (2,'ElectricBike',30.2,'2022-03-01'); INSERT INTO fleet (id,vehicle_type,speed,date) VALUES (3,'ElectricScooter',45.9,'2022-03-01'); | SELECT FLOAT(MAX(speed) - MIN(speed)) as speed_difference FROM fleet WHERE vehicle_type LIKE 'Electric%'; |
How many vessels arrived at a US port with cargo in the last month? | CREATE TABLE Vessels (VesselID INT,VesselName TEXT); CREATE TABLE Ports (PortID INT,PortName TEXT,Country TEXT); CREATE TABLE Cargo (VesselID INT,PortID INT,ArrivalDate DATE); INSERT INTO Ports (PortID,PortName,Country) VALUES (1,'New York','USA'),(2,'Los Angeles','USA'); INSERT INTO Vessels (VesselID,VesselName) VALUES (1,'Sea Tiger'),(2,'Ocean Wave'),(3,'River Queen'); INSERT INTO Cargo (VesselID,PortID,ArrivalDate) VALUES (1,1,'2021-07-01'),(1,2,'2021-07-15'),(2,1,'2021-07-20'),(3,2,'2021-07-25'); | SELECT COUNT(*) FROM Cargo INNER JOIN Vessels ON Cargo.VesselID = Vessels.VesselID INNER JOIN Ports ON Cargo.PortID = Ports.PortID WHERE ArrivalDate >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) AND Country = 'USA'; |
Identify the number of startups founded by immigrants in the artificial intelligence industry that have received funding. | CREATE TABLE company (id INT,name TEXT,industry TEXT,founding_date DATE,founder_immigrant TEXT); INSERT INTO company (id,name,industry,founding_date,founder_immigrant) VALUES (1,'AIco','Artificial Intelligence','2020-01-01','Yes'); | SELECT COUNT(DISTINCT company.id) FROM company JOIN funding_records ON company.id = funding_records.company_id WHERE company.industry = 'Artificial Intelligence' AND company.founder_immigrant = 'Yes'; |
Display the total number of trips taken by each mode of transportation (car, bus, train, bike) in 'multimodal_mobility' table. | CREATE TABLE multimodal_mobility (id INT,user_id INT,trip_date DATE,mode VARCHAR(10),num_trips INT); | SELECT mode, SUM(num_trips) AS total_trips FROM multimodal_mobility GROUP BY mode; |
Insert a new record into the 'oil_refineries' table with the following data: 'Puerto La Cruz', 'Venezuela', 1950, 180000 | CREATE TABLE oil_refineries (refinery_name VARCHAR(50),country VARCHAR(50),establishment_year INT,refinery_capacity INT); | INSERT INTO oil_refineries (refinery_name, country, establishment_year, refinery_capacity) VALUES ('Puerto La Cruz', 'Venezuela', 1950, 180000); |
What is the average weight of shipments from Canada? | CREATE TABLE Shipments (id INT,weight FLOAT,origin VARCHAR(20)); INSERT INTO Shipments (id,weight,origin) VALUES (1,50.3,'Canada'),(2,70.5,'USA'),(3,30.1,'Canada'); | SELECT AVG(weight) FROM Shipments WHERE origin = 'Canada' |
What is the total cost for each satellite model? | CREATE TABLE satellites (satellite_id INT,model VARCHAR(100),manufacturer VARCHAR(100),cost DECIMAL(10,2)); INSERT INTO satellites (satellite_id,model,manufacturer,cost) VALUES (1,'SatModel A','Galactic Inc.',200000.00); INSERT INTO satellites (satellite_id,model,manufacturer,cost) VALUES (2,'SatModel B','Cosmic Corp.',350000.00); | SELECT model, SUM(cost) FROM satellites GROUP BY model; |
Delete all records from the 'circular_economy' table where the 'reuse_percentage' is less than 50 | CREATE TABLE circular_economy (id INT PRIMARY KEY,product_name VARCHAR(100),reuse_percentage INT); | DELETE FROM circular_economy WHERE reuse_percentage < 50; |
List the top 5 busiest subway stations in New York by entrances and exits, for the month of January 2022. | CREATE TABLE subway_stations (station_id INT,station_name TEXT,lines TEXT); CREATE TABLE entrances_exits (station_id INT,time TIMESTAMP,entries INT,exits INT); | SELECT station_name, SUM(entries + exits) as total FROM subway_stations JOIN entrances_exits ON subway_stations.station_id = entrances_exits.station_id WHERE time BETWEEN '2022-01-01 00:00:00' AND '2022-01-31 23:59:59' GROUP BY station_name ORDER BY total DESC LIMIT 5; |
What is the total number of workplace safety incidents in the "safety_database" for each quarter in 2022? | CREATE TABLE incidents (id INT,quarter INT,num_incidents INT); INSERT INTO incidents (id,quarter,num_incidents) VALUES (1,1,100),(2,1,120),(3,2,150),(4,2,170),(5,3,200),(6,3,220),(7,4,250),(8,4,270); | SELECT quarter, SUM(num_incidents) FROM incidents WHERE quarter BETWEEN 1 AND 4 GROUP BY quarter; |
How many clinical trials were conducted by 'CompanyZ' in 2018? | CREATE TABLE sponsor_trials(sponsor_name TEXT,trial_id INT,trial_year INT); INSERT INTO sponsor_trials(sponsor_name,trial_id,trial_year) VALUES('CompanyZ',2,2018); | SELECT COUNT(*) FROM sponsor_trials WHERE sponsor_name = 'CompanyZ' AND trial_year = 2018; |
Show the number of startups founded by women in the last 10 years | CREATE TABLE startup (id INT,name TEXT,founding_year INT,founder_gender TEXT); INSERT INTO startup (id,name,founding_year,founder_gender) VALUES (1,'Acme Inc',2012,'Female'); INSERT INTO startup (id,name,founding_year,founder_gender) VALUES (2,'Beta Corp',2018,'Male'); | SELECT COUNT(*) FROM startup WHERE founder_gender = 'Female' AND founding_year >= YEAR(CURRENT_DATE) - 10; |
What is the total revenue generated from each game genre, and how many games belong to each genre? | CREATE TABLE GameDesign (GameID INT,GameTitle VARCHAR(20),Genre VARCHAR(10),Price DECIMAL(5,2)); INSERT INTO GameDesign (GameID,GameTitle,Genre,Price) VALUES (1,'RacingGame','Racing',29.99),(2,'RPG','RPG',49.99),(3,'Shooter','FPS',39.99),(4,'Puzzle','Puzzle',19.99),(5,'Strategy','Strategy',34.99); | SELECT Genre, SUM(Price) AS TotalRevenue, COUNT(GameID) AS GameCount FROM GameDesign GROUP BY Genre; |
What is the average military spending for countries in a specific region? | CREATE TABLE Country (Name VARCHAR(50),Region VARCHAR(50),MilitarySpending NUMERIC(18,2)); INSERT INTO Country (Name,Region,MilitarySpending) VALUES ('United States','North America',770000),('Canada','North America',25000),('Mexico','North America',5000),('Brazil','South America',30000),('Argentina','South America',7000); | SELECT Region, AVG(MilitarySpending) AS AverageMilitarySpending FROM Country GROUP BY Region; |
Find the top 3 cities with the most diverse art program attendance (visual arts, performing arts, literature) | CREATE TABLE cities (id INT,name VARCHAR(255)); CREATE TABLE programs (id INT,name VARCHAR(255)); CREATE TABLE attendances (city_id INT,program_id INT); INSERT INTO cities (id,name) VALUES (1,'CityA'),(2,'CityB'),(3,'CityC'); INSERT INTO programs (id,name) VALUES (1,'Visual Arts'),(2,'Performing Arts'),(3,'Literature'); INSERT INTO attendances (city_id,program_id) VALUES (1,1),(1,2),(1,3),(2,1),(2,3),(3,1); | SELECT c.name, COUNT(a.program_id) AS attendance FROM cities c JOIN attendances a ON c.id = a.city_id JOIN programs p ON a.program_id = p.id WHERE p.name IN ('Visual Arts', 'Performing Arts', 'Literature') GROUP BY c.name ORDER BY attendance DESC LIMIT 3 |
Show the number of safety incidents, the total cost of those incidents, and the incident type for each chemical plant located in a specific region, grouped by incident type. | CREATE TABLE chemical_plants (plant_id INT,plant_name TEXT,location TEXT); CREATE TABLE safety_incidents (incident_id INT,plant_id INT,incident_date DATE,cost INT,incident_type TEXT); INSERT INTO chemical_plants (plant_id,plant_name,location) VALUES (1,'ABC Plant','East'),(2,'XYZ Plant','West'); INSERT INTO safety_incidents (incident_id,plant_id,incident_date,cost,incident_type) VALUES (1,1,'2022-01-01',1000,'Fire'),(2,2,'2021-12-15',2000,'Chemical Spill'); | SELECT chemical_plants.location, incident_type, COUNT(safety_incidents.incident_id) AS number_of_incidents, SUM(safety_incidents.cost) AS total_cost FROM chemical_plants INNER JOIN safety_incidents ON chemical_plants.plant_id = safety_incidents.plant_id WHERE chemical_plants.location = 'East' GROUP BY chemical_plants.location, incident_type; |
Delete all records of clients who have not invested in Shariah-compliant funds. | CREATE TABLE clients (id INT,name VARCHAR(255)); INSERT INTO clients (id,name) VALUES (1,'John Doe'),(2,'Jane Smith'),(3,'Alice Johnson'),(4,'Bob Brown'); CREATE TABLE investments (id INT,client_id INT,fund_type VARCHAR(255),amount DECIMAL(10,2)); INSERT INTO investments (id,client_id,fund_type,amount) VALUES (1,1,'Shariah-compliant',5000),(2,2,'Standard',3000),(3,4,'Standard',7000); | DELETE FROM clients WHERE id NOT IN (SELECT client_id FROM investments WHERE fund_type = 'Shariah-compliant'); |
Calculate the average revenue generated per eco-friendly hotel in Portugal. | CREATE TABLE eco_hotels (hotel_id INT,name TEXT,country TEXT,revenue FLOAT); INSERT INTO eco_hotels VALUES (1,'Green Hotel','Portugal',50000),(2,'Eco Resort','Portugal',75000),(3,'Sustainable Hotel','Portugal',60000); | SELECT AVG(revenue) FROM eco_hotels WHERE country = 'Portugal'; |
Calculate the average temperature and humidity for the greenhouses with the highest energy consumption in the last month. | CREATE TABLE greenhouse (id INT,name VARCHAR(255)); CREATE TABLE sensor (id INT,greenhouse_id INT,temperature INT,humidity INT,energy_consumption INT,timestamp TIMESTAMP); INSERT INTO greenhouse VALUES (1,'Greenhouse A'),(2,'Greenhouse B'); INSERT INTO sensor VALUES (1,1,25,60,1000,'2022-04-01 10:00:00'),(2,2,22,70,1200,'2022-04-01 10:00:00'); | SELECT g.name, AVG(s.temperature) as avg_temperature, AVG(s.humidity) as avg_humidity FROM greenhouse g INNER JOIN sensor s ON g.id = s.greenhouse_id WHERE s.energy_consumption = (SELECT MAX(energy_consumption) FROM sensor WHERE timestamp BETWEEN DATE_SUB(NOW(), INTERVAL 1 MONTH) AND NOW()) AND s.timestamp BETWEEN DATE_SUB(NOW(), INTERVAL 1 MONTH) AND NOW() GROUP BY g.name; |
What is the maximum number of patients served by a rural clinic in Canada? | CREATE TABLE clinics (id INT,name VARCHAR(50),location VARCHAR(50),patients_served INT); | SELECT MAX(patients_served) FROM clinics WHERE location LIKE '%Canada%' AND location LIKE '%rural%'; |
Who are the top 10 community health workers with the most clients served? | CREATE TABLE clients_served (worker_id INT,clients_served INT); | SELECT worker_id, clients_served FROM (SELECT worker_id, clients_served, ROW_NUMBER() OVER (ORDER BY clients_served DESC) as rn FROM clients_served) x WHERE rn <= 10; |
Find the total installed capacity (in MW) of all Renewable Energy Projects in Germany | CREATE TABLE renewable_projects_germany (id INT,name VARCHAR(100),country VARCHAR(50),type VARCHAR(50),capacity_mw FLOAT); INSERT INTO renewable_projects_germany (id,name,country,type,capacity_mw) VALUES (1,'Project 1','Germany','Wind Farm',50.0),(2,'Project 2','Germany','Solar Plant',75.0),(3,'Project 3','Germany','Hydro Plant',100.0); | SELECT SUM(capacity_mw) FROM renewable_projects_germany WHERE country = 'Germany'; |
Find the total installed capacity of renewable energy projects in each country, with a minimum threshold of 100 MW. | CREATE TABLE renewable_projects (project_id INT,project_name VARCHAR(100),country VARCHAR(50),installed_capacity FLOAT); CREATE TABLE countries (country VARCHAR(50),continent VARCHAR(50)); | SELECT r.country, SUM(r.installed_capacity) FROM renewable_projects r INNER JOIN countries c ON r.country = c.country GROUP BY r.country HAVING SUM(r.installed_capacity) >= 100; |
What is the maximum number of articles published by a single author in a day? | CREATE TABLE authors (id INT,name VARCHAR(20)); CREATE TABLE articles (id INT,author_id INT,publication_date DATE); INSERT INTO authors (id,name) VALUES (1,'John Doe'),(2,'Jane Smith'); INSERT INTO articles (id,author_id,publication_date) VALUES (1,1,'2022-01-01'),(2,1,'2022-01-01'),(3,2,'2022-01-02'); | SELECT MAX(cnt) FROM (SELECT author_id, COUNT(*) as cnt FROM articles GROUP BY author_id, publication_date) as temp WHERE temp.cnt > 1; |
Which retailers in Africa do not carry any fair trade products? | CREATE TABLE retailers (id INT,name TEXT,country TEXT); INSERT INTO retailers (id,name,country) VALUES (1,'Retailer A','South Africa'),(2,'Retailer B','Egypt'),(3,'Retailer C','Nigeria'); CREATE TABLE products (id INT,name TEXT,is_fair_trade BOOLEAN); INSERT INTO products (id,name,is_fair_trade) VALUES (1,'Product X',true),(2,'Product Y',false),(3,'Product Z',true),(4,'Product W',false); CREATE TABLE retailer_products (retailer_id INT,product TEXT,quantity INT); INSERT INTO retailer_products (retailer_id,product,quantity) VALUES (1,'Product X',100),(1,'Product Z',50),(2,'Product Y',150),(3,'Product W',80); | SELECT retailers.name FROM retailers LEFT JOIN retailer_products ON retailers.id = retailer_products.retailer_id LEFT JOIN products ON retailer_products.product = products.name WHERE products.is_fair_trade IS NULL AND retailers.country = 'Africa'; |
What is the total amount of grants received by 'organization Z' in the year 2023? | CREATE TABLE organization (organization_id INT,name VARCHAR(50)); INSERT INTO organization (organization_id,name) VALUES (1,'Organization X'),(2,'Organization Y'),(3,'Organization Z'); CREATE TABLE year (year_id INT,year INT); INSERT INTO year (year_id,year) VALUES (1,2023),(2,2022); CREATE TABLE grants (grant_id INT,amount INT,organization_id INT,year_id INT); INSERT INTO grants (grant_id,amount,organization_id,year_id) VALUES (1,500,3,1),(2,700,3,1),(3,300,1,1); | SELECT SUM(amount) FROM grants WHERE organization_id = 3 AND year_id = 1; |
List the publications with at least two authors from underrepresented communities. | CREATE TABLE publication (id INT,title VARCHAR(100),num_authors INT); CREATE TABLE author (id INT,publication_id INT,community VARCHAR(50)); | SELECT p.title FROM publication p JOIN (SELECT publication_id FROM author WHERE community IN ('Community A', 'Community B') GROUP BY publication_id HAVING COUNT(*) >= 2) a ON p.id = a.publication_id; |
What is the difference in donation amounts between the top 3 and bottom 3 donor countries? | CREATE TABLE donor_countries (country VARCHAR(50),donation DECIMAL(10,2)); INSERT INTO donor_countries (country,donation) VALUES ('United States',50000.00),('Germany',40000.00),('United Kingdom',30000.00),('France',20000.00),('Canada',10000.00); | SELECT SUM(a.donation) - SUM(b.donation) FROM (SELECT donation FROM donor_countries ORDER BY donation DESC LIMIT 3) a, (SELECT donation FROM donor_countries ORDER BY donation ASC LIMIT 3) b; |
What is the total production of Europium, Gadolinium, and Terbium in 2020? | CREATE TABLE production (year INT,element VARCHAR(10),quantity INT); INSERT INTO production (year,element,quantity) VALUES (2018,'Europium',1000),(2019,'Europium',1100),(2020,'Europium',1200),(2021,'Europium',1300),(2018,'Gadolinium',1500),(2019,'Gadolinium',1600),(2020,'Gadolinium',1700),(2021,'Gadolinium',1800),(2018,'Terbium',2000),(2019,'Terbium',2200),(2020,'Terbium',2400),(2021,'Terbium',2600); | SELECT SUM(quantity) FROM production WHERE element IN ('Europium', 'Gadolinium', 'Terbium') AND year = 2020; |
What are the names of all bioprocess engineering projects in Europe that have used machine learning techniques? | CREATE TABLE bioprocess_engineering (project_name VARCHAR(255),location VARCHAR(255),method VARCHAR(255)); INSERT INTO bioprocess_engineering (project_name,location,method) VALUES ('ProjEurope','Europe','Machine Learning'); | SELECT project_name FROM bioprocess_engineering WHERE location = 'Europe' AND method = 'Machine Learning'; |
Add a new station to 'stations' table | CREATE TABLE stations (id INT PRIMARY KEY,name VARCHAR(50),location VARCHAR(100)); | INSERT INTO stations (id, name, location) VALUES (1, 'Central', 'Downtown'); |
Delete all records of food safety inspection for 'Italian' cuisine | CREATE TABLE food_safety_inspections (record_id INT,inspection_date DATE,cuisine VARCHAR(255),violation_count INT); INSERT INTO food_safety_inspections (record_id,inspection_date,cuisine,violation_count) VALUES (1,'2022-01-01','Italian',3),(2,'2022-01-15','Mexican',0),(3,'2022-03-01','French',1),(4,'2022-04-01','Thai',2),(5,'2022-04-15','Italian',1); | DELETE FROM food_safety_inspections WHERE cuisine = 'Italian'; |
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