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What are the top 5 destinations with the most positive impact on sustainable tourism? | CREATE TABLE sustainable_practices (practice_id INT,practice_name VARCHAR(50),destination_id INT,PRIMARY KEY (practice_id),FOREIGN KEY (destination_id) REFERENCES destinations(destination_id));CREATE TABLE destinations (destination_id INT,destination_name VARCHAR(50),region_id INT,PRIMARY KEY (destination_id));CREATE TABLE regions (region_id INT,region_name VARCHAR(50),PRIMARY KEY (region_id));CREATE TABLE ratings (rating_id INT,rating INT,tourist_id INT,destination_id INT,PRIMARY KEY (rating_id),FOREIGN KEY (tourist_id) REFERENCES tourists(tourist_id),FOREIGN KEY (destination_id) REFERENCES destinations(destination_id)); | SELECT d.destination_name, COUNT(r.rating_id) as total_ratings, AVG(r.rating) as avg_rating, RANK() OVER (ORDER BY AVG(r.rating) DESC) as rating_rank FROM destinations d JOIN ratings r ON d.destination_id = r.destination_id GROUP BY d.destination_name ORDER BY total_ratings DESC, avg_rating DESC LIMIT 5; |
List the top 3 organic items with the highest inventory value? | CREATE TABLE organic_inventory (item_id INT,item_name VARCHAR(255),category VARCHAR(255),quantity INT,unit_price DECIMAL(5,2)); INSERT INTO organic_inventory (item_id,item_name,category,quantity,unit_price) VALUES (1,'Quinoa','Grains',50,3.99),(2,'Tofu','Proteins',30,2.99),(3,'Almond Milk','Dairy Alternatives',40,2.59); | SELECT item_name, quantity * unit_price as total_value FROM organic_inventory ORDER BY total_value DESC LIMIT 3; |
What is the total quantity of menu items sold in the 'Appetizers' category from the 'Asian' cuisine type? | CREATE TABLE menu (menu_id INT,menu_name VARCHAR(50),category VARCHAR(50),cuisine VARCHAR(50),quantity_sold INT,price DECIMAL(5,2),month_sold INT); INSERT INTO menu (menu_id,menu_name,category,cuisine,quantity_sold,price,month_sold) VALUES (12,'Spring Rolls','Appetizers','Asian',30,4.99,1),(13,'Edamame','Appetizers','Asian',40,3.99,1); | SELECT SUM(quantity_sold) FROM menu WHERE category = 'Appetizers' AND cuisine = 'Asian'; |
List the number of employees by gender and department in the mining company | CREATE TABLE department (id INT,name VARCHAR(255)); CREATE TABLE employee (id INT,name VARCHAR(255),department VARCHAR(255),role VARCHAR(255),salary INT,gender VARCHAR(255)); INSERT INTO department (id,name) VALUES (1,'Mining'),(2,'Engineering'),(3,'Human Resources'); INSERT INTO employee (id,name,department,role,salary,gender) VALUES (1,'John Doe','Engineering','Manager',80000,'Male'),(2,'Jane Smith','Engineering','Engineer',70000,'Female'),(3,'Mike Johnson','Engineering','Technician',60000,'Male'),(4,'Sara Connor','Mining','Manager',85000,'Female'),(5,'Tom Williams','Mining','Laborer',55000,'Male'),(6,'Amy Davis','Human Resources','HR Specialist',75000,'Female'); | SELECT d.name as department, e.gender as gender, COUNT(e.id) as num_employees FROM department d JOIN employee e ON d.name = e.department GROUP BY d.name, e.gender; |
Calculate the percentage of mobile and broadband subscribers in each region. | CREATE TABLE mobile_subscribers (subscriber_id INT,region_id INT); INSERT INTO mobile_subscribers (subscriber_id,region_id) VALUES (1,1),(2,2),(3,3),(4,4),(5,1),(6,2),(7,3),(8,4); CREATE TABLE broadband_subscribers (subscriber_id INT,region_id INT); INSERT INTO broadband_subscribers (subscriber_id,region_id) VALUES (9,1),(10,2),(11,3),(12,4),(13,1),(14,2),(15,3),(16,4); CREATE TABLE regions (region_id INT,region_name VARCHAR(20)); INSERT INTO regions (region_id,region_name) VALUES (1,'North'),(2,'South'),(3,'East'),(4,'West'); | SELECT r.region_name, (COUNT(m.subscriber_id) * 100.0 / (COUNT(m.subscriber_id) + COUNT(b.subscriber_id))) AS mobile_percentage, (COUNT(b.subscriber_id) * 100.0 / (COUNT(m.subscriber_id) + COUNT(b.subscriber_id))) AS broadband_percentage FROM regions r LEFT JOIN mobile_subscribers m ON r.region_id = m.region_id LEFT JOIN broadband_subscribers b ON r.region_id = b.region_id GROUP BY r.region_id; |
Delete broadband subscribers who have not used their service in the last 6 months. | CREATE TABLE broadband_subscribers_usage (subscriber_id INT,usage_date DATE); INSERT INTO broadband_subscribers_usage (subscriber_id,usage_date) VALUES (17,'2022-01-02'); INSERT INTO broadband_subscribers_usage (subscriber_id,usage_date) VALUES (18,'2022-02-03'); | DELETE FROM broadband_subscribers WHERE subscriber_id NOT IN (SELECT subscriber_id FROM broadband_subscribers_usage WHERE usage_date >= DATE_SUB(CURRENT_DATE, INTERVAL 6 MONTH)); |
How many mobile customers have used more than 20 GB of data in the past week? | CREATE TABLE mobile_usage (customer_id INT,last_week_data_usage INT,international_call BOOLEAN); INSERT INTO mobile_usage (customer_id,last_week_data_usage,international_call) VALUES (6,25,FALSE),(7,18,FALSE),(8,22,FALSE),(9,15,FALSE),(10,28,FALSE); | SELECT COUNT(*) FROM mobile_usage WHERE last_week_data_usage > 20; |
What are the top 5 genres by the number of streams in the United States? | CREATE TABLE streams (stream_id int,user_id int,track_id int,genre varchar(255),timestamp datetime); INSERT INTO streams (stream_id,user_id,track_id,genre,timestamp) VALUES (1,123,345,'Rock','2022-01-01 10:00:00'),(2,124,346,'Pop','2022-01-01 11:00:00'); | SELECT genre, COUNT(*) as stream_count FROM streams WHERE timestamp BETWEEN '2022-01-01' AND '2022-12-31' AND genre IS NOT NULL GROUP BY genre ORDER BY stream_count DESC LIMIT 5; |
What is the maximum word count for articles published by 'Sophia Garcia' in the 'media' schema? | CREATE TABLE media.articles (article_id INT,title VARCHAR(100),author VARCHAR(100),publish_date DATE,word_count INT); INSERT INTO media.articles (article_id,title,author,publish_date,word_count) VALUES (1,'Artículo 1','Sophia Garcia','2021-01-01',500),(2,'Artículo 2','Sophia Garcia','2021-02-01',600),(3,'Artículo 3','Michael Lee','2021-03-01',700); | SELECT MAX(word_count) FROM media.articles WHERE author = 'Sophia Garcia'; |
What is the total number of volunteers for nonprofits in California? | CREATE TABLE Nonprofits (NonprofitID INT,Name VARCHAR(50),City VARCHAR(50),State VARCHAR(2),Zip VARCHAR(10),MissionStatement TEXT,TotalVolunteers INT); CREATE TABLE Volunteers (VolunteerID INT,VolunteerName VARCHAR(50),NonprofitID INT,Hours INT); | SELECT SUM(V.Hours) FROM Volunteers V INNER JOIN Nonprofits N ON V.NonprofitID = N.NonprofitID WHERE N.State = 'CA'; |
Delete the record with id 6 from the table "ocean_acidification" | CREATE TABLE ocean_acidification (id INT,location VARCHAR(50),pH FLOAT,date DATE); | DELETE FROM ocean_acidification WHERE id = 6; |
List all countries with deep-sea exploration programs and their budgets. | CREATE TABLE countries (country_name TEXT,exploration_program BOOLEAN); CREATE TABLE budgets (country_name TEXT,budget FLOAT); INSERT INTO countries (country_name,exploration_program) VALUES ('Canada',TRUE),('Mexico',FALSE); INSERT INTO budgets (country_name,budget) VALUES ('Canada',1000000.0),('Mexico',50000.0); | SELECT countries.country_name, budgets.budget FROM countries INNER JOIN budgets ON countries.country_name = budgets.country_name WHERE countries.exploration_program = TRUE; |
What is the maximum age of players who have not participated in esports events? | CREATE TABLE Players (PlayerID INT,Age INT,Gender VARCHAR(10),Country VARCHAR(50)); INSERT INTO Players (PlayerID,Age,Gender,Country) VALUES (1,25,'Male','USA'); INSERT INTO Players (PlayerID,Age,Gender,Country) VALUES (2,30,'Female','Canada'); CREATE TABLE EsportsEvents (EventID INT,PlayerID INT,EventName VARCHAR(50)); | SELECT MAX(Players.Age) FROM Players LEFT JOIN EsportsEvents ON Players.PlayerID = EsportsEvents.PlayerID WHERE EsportsEvents.PlayerID IS NULL; |
Delete the farm record with ID 203 | CREATE TABLE farms (farm_id INT,name VARCHAR(50),location VARCHAR(50)); | DELETE FROM farms WHERE farm_id = 203; |
What is the production trend of Neodymium and Dysprosium from 2018 to 2021? | CREATE TABLE production (year INT,element VARCHAR(10),quantity INT); INSERT INTO production (year,element,quantity) VALUES (2018,'Neodymium',5000),(2019,'Neodymium',5500),(2020,'Neodymium',6000),(2021,'Neodymium',6500),(2018,'Dysprosium',3000),(2019,'Dysprosium',3500),(2020,'Dysprosium',4000),(2021,'Dysprosium',4500); | SELECT year, element, SUM(quantity) FROM production GROUP BY year, element; |
List all co-owners and the properties they own in New York, NY. | CREATE TABLE properties (id INT,city VARCHAR(50),price INT); CREATE TABLE co_owners (property_id INT,owner_name VARCHAR(50)); INSERT INTO properties (id,city,price) VALUES (1,'New York',800000),(2,'Los Angeles',600000); INSERT INTO co_owners (property_id,owner_name) VALUES (1,'David'),(1,'Ella'),(2,'Frank'); | SELECT properties.city, co_owners.owner_name FROM properties INNER JOIN co_owners ON properties.id = co_owners.property_id WHERE properties.city = 'New York'; |
What is the average revenue per day for each restaurant location in the breakfast category? | CREATE TABLE daily_revenue(location VARCHAR(255),revenue DECIMAL(10,2),date DATE); CREATE TABLE menu_category(menu_item VARCHAR(255),category VARCHAR(255)); INSERT INTO daily_revenue VALUES ('Location A',500,'2023-01-01'); INSERT INTO daily_revenue VALUES ('Location A',600,'2023-01-02'); INSERT INTO menu_category VALUES ('Pancakes','Breakfast'); | SELECT location, AVG(revenue/COUNT(*)) as avg_revenue FROM daily_revenue dr INNER JOIN menu_category mc ON dr.date = mc.menu_item WHERE category = 'Breakfast' GROUP BY location; |
Which menu items have been sold for more than $10,000, and what is the total quantity sold? | CREATE TABLE menu_items (menu_item_id INT,menu_item_name VARCHAR(50),category VARCHAR(50),price FLOAT,quantity_sold INT); INSERT INTO menu_items (menu_item_id,menu_item_name,category,price,quantity_sold) VALUES (1,'Burger','Main Course',12.99,1500); | SELECT menu_item_name, SUM(quantity_sold) FROM menu_items WHERE price * quantity_sold > 10000 GROUP BY menu_item_name; |
What is the name of all Russian astronauts? | CREATE TABLE Astronauts (id INT,name VARCHAR(255),agency VARCHAR(255),missions INT); INSERT INTO Astronauts (id,name,agency,missions) VALUES (1,'Mae Jemison','NASA',2),(2,'Yuri Gagarin','Roscosmos',1); | SELECT name FROM Astronauts WHERE agency = 'Roscosmos'; |
Which company has manufactured the most satellites? | CREATE TABLE manufacturers (id INT,name TEXT); CREATE TABLE satellites (id INT,manufacturer_id INT,name TEXT,launch_date DATE); INSERT INTO manufacturers (id,name) VALUES (1,'SpaceX'),(2,'Blue Origin'),(3,'ISRO'),(4,'CAST'); INSERT INTO satellites (id,manufacturer_id,name,launch_date) VALUES (1,1,'StarDragon','2012-05-25'),(2,1,'Falcon','2015-12-21'),(3,2,'New Glenn','2022-01-11'),(4,3,'ChinaSat 1E','2000-12-05'),(5,3,'ChinaSat 2A','2003-08-13'),(6,4,'Shijian 9','2017-11-19'),(7,1,'StarLink','2020-05-24'),(8,1,'StarLink','2020-06-13'); | SELECT m.name, COUNT(s.id) FROM manufacturers m JOIN satellites s ON m.id = s.manufacturer_id GROUP BY m.name ORDER BY COUNT(s.id) DESC; |
Show the number of security incidents and their severity by quarter | CREATE TABLE incident_quarterly (id INT,incident_date DATE,severity VARCHAR(10)); INSERT INTO incident_quarterly (id,incident_date,severity) VALUES (1,'2022-01-01','Low'),(2,'2022-01-15','Medium'),(3,'2022-04-01','High'),(4,'2022-07-01','Critical'),(5,'2022-10-01','Low'),(6,'2022-10-15','Medium'); | SELECT EXTRACT(QUARTER FROM incident_date) as quarter, severity, COUNT(*) as incidents FROM incident_quarterly GROUP BY quarter, severity; |
Find the top 5 most profitable garments based on their sales in Q2 of 2022, and display the garment_name and total revenue. | CREATE TABLE Garments (garment_id INT,garment_name VARCHAR(50),category VARCHAR(50)); INSERT INTO Garments (garment_id,garment_name,category) VALUES (1,'Cotton T-Shirt','Tops'),(2,'Jeans','Bottoms'),(3,'Silk Blouse','Tops'),(4,'Wool Coat','Outerwear'); CREATE TABLE Sales_Details (sale_id INT,garment_id INT,sale_quantity INT,sale_price DECIMAL(10,2)); INSERT INTO Sales_Details (sale_id,garment_id,sale_quantity,sale_price) VALUES (1,1,10,20),(2,2,8,50),(3,3,5,80),(4,4,3,150); CREATE TABLE Sales (sale_id INT,sale_date DATE); INSERT INTO Sales (sale_id,sale_date) VALUES (1,'2022-04-01'),(2,'2022-04-02'),(3,'2022-04-03'),(4,'2022-04-04'); | SELECT g.garment_name, SUM(sd.sale_quantity * sd.sale_price) AS total_revenue FROM Sales s JOIN Sales_Details sd ON s.sale_id = sd.sale_id JOIN Garments g ON sd.garment_id = g.garment_id WHERE s.sale_date BETWEEN '2022-04-01' AND '2022-06-30' GROUP BY g.garment_name ORDER BY total_revenue DESC LIMIT 5; |
How many workplace safety inspections were conducted in each state? | CREATE TABLE safety_inspections (id INT,state VARCHAR(2),inspections INT); INSERT INTO safety_inspections (id,state,inspections) VALUES (1,'California',350),(2,'Texas',420),(3,'New York',500); | SELECT state, SUM(inspections) as total_inspections FROM safety_inspections GROUP BY state; |
What is the average safety rating of vehicles manufactured in Germany? | CREATE TABLE Vehicle (id INT,make VARCHAR(50),model VARCHAR(50),safety_rating FLOAT,country VARCHAR(50)); | SELECT AVG(safety_rating) FROM Vehicle WHERE country = 'Germany'; |
Insert a new record into the vessel_performance table with the following details: vessel_id = V003, max_speed = 20 knots, average_speed = 15 knots | vessel_performance(vessel_id,max_speed,average_speed) | INSERT INTO vessel_performance (vessel_id, max_speed, average_speed) VALUES ('V003', 20, 15); |
What is the total cargo weight for each vessel? | CREATE TABLE vessel_cargo (id INT,vessel_id INT,trip_id INT,cargo_weight INT); INSERT INTO vessel_cargo VALUES (1,1,1,500),(2,1,2,700),(3,2,1,600),(4,3,1,800); | SELECT vessel_id, SUM(cargo_weight) FROM vessel_cargo GROUP BY vessel_id; |
What is the waste generation per capita for each country in 'waste_generation'? | CREATE TABLE waste_generation (country VARCHAR(50),year INT,population INT,waste_amount INT); | SELECT country, AVG(waste_amount/population) as avg_waste_per_capita FROM waste_generation GROUP BY country; |
What is the average water consumption per household in Mumbai for the years 2018 and 2019? | CREATE TABLE Household_Water_Usage (Household_ID INT,City VARCHAR(20),Year INT,Water_Consumption FLOAT); INSERT INTO Household_Water_Usage (Household_ID,City,Year,Water_Consumption) VALUES (1,'Mumbai',2018,150.5),(2,'Mumbai',2019,130.2); | SELECT Year, AVG(Water_Consumption) FROM Household_Water_Usage WHERE City = 'Mumbai' AND Year IN (2018, 2019) GROUP BY Year; |
List the top 3 datasets with the longest average testing times for models using the 'random_forest' algorithm. | CREATE TABLE testing_times (id INT,dataset VARCHAR(255),algorithm VARCHAR(255),avg_time FLOAT); INSERT INTO testing_times (id,dataset,algorithm,avg_time) VALUES (1,'MNIST','random_forest',1.2),(2,'CIFAR-10','random_forest',1.5),(3,'ImageNet','svm',1.9),(4,'MNIST','svm',1.1); | SELECT dataset, avg_time FROM testing_times WHERE algorithm = 'random_forest' ORDER BY avg_time DESC LIMIT 3; |
Update the output_quality to 'good' for records in the creative_ai table where the id is between 1 and 10 and the application is 'image generation' | CREATE TABLE creative_ai (id INTEGER,application TEXT,output_quality TEXT,last_updated TIMESTAMP); | UPDATE creative_ai SET output_quality = 'good' WHERE id BETWEEN 1 AND 10 AND application = 'image generation'; |
How many rural infrastructure projects were completed in '2022' in the 'Asia-Pacific' region? | CREATE TABLE rural_infrastructure(id INT,project TEXT,location TEXT,completion_year INT); INSERT INTO rural_infrastructure (id,project,location,completion_year) VALUES (1,'Rural Road Project','Asia-Pacific',2022); | SELECT COUNT(*) FROM rural_infrastructure WHERE location = 'Asia-Pacific' AND completion_year = 2022; |
Insert a new animal 'Giant Panda' into the database with the habitat_id 1 (Forest) | CREATE TABLE habitats (id INT PRIMARY KEY,habitat_type VARCHAR(50)); INSERT INTO habitats (id,habitat_type) VALUES (1,'Forest'); INSERT INTO habitats (id,habitat_type) VALUES (2,'Grassland'); INSERT INTO habitats (id,habitat_type) VALUES (3,'Wetland'); CREATE TABLE animals (id INT PRIMARY KEY,animal_name VARCHAR(50),habitat_id INT,FOREIGN KEY (habitat_id) REFERENCES habitats(id)); INSERT INTO animals (id,animal_name,habitat_id) VALUES (1,'Tiger',1); INSERT INTO animals (id,animal_name,habitat_id) VALUES (2,'Elephant',2); INSERT INTO animals (id,animal_name,habitat_id) VALUES (3,'Crane',3); | INSERT INTO animals (id, animal_name, habitat_id) VALUES ((SELECT COALESCE(MAX(id), 0) + 1 FROM animals), 'Giant Panda', 1); |
What is the maximum viewership for TV shows in the Comedy genre? | CREATE TABLE TV_Shows (show_id INT,title VARCHAR(100),genre VARCHAR(50),viewership INT); INSERT INTO TV_Shows (show_id,title,genre,viewership) VALUES (1,'ShowA','Comedy',9000000); INSERT INTO TV_Shows (show_id,title,genre,viewership) VALUES (2,'ShowB','Drama',8000000); INSERT INTO TV_Shows (show_id,title,genre,viewership) VALUES (3,'ShowC','Comedy',10000000); | SELECT title, MAX(viewership) FROM TV_Shows WHERE genre = 'Comedy' GROUP BY title; |
Calculate the total billing for each case type | CREATE TABLE billing (id INT,case_id INT,attorney_id INT,hours_worked INT,billable_rate DECIMAL(10,2)); INSERT INTO billing (id,case_id,attorney_id,hours_worked,billable_rate) VALUES (1,1,1,15,200.00); INSERT INTO billing (id,case_id,attorney_id,hours_worked,billable_rate) VALUES (2,2,2,20,250.00); CREATE TABLE cases (id INT,client_id INT,case_type VARCHAR(50),opened_date DATE,closed_date DATE); INSERT INTO cases (id,client_id,case_type,opened_date,closed_date) VALUES (1,1,'Civil','2020-01-01','2020-03-01'); INSERT INTO cases (id,client_id,case_type,opened_date,closed_date) VALUES (2,2,'Criminal','2021-02-12','2021-04-15'); | SELECT case_type, SUM(hours_worked * billable_rate) as total_billing FROM billing JOIN cases ON billing.case_id = cases.id GROUP BY case_type; |
What are the total climate finance expenditures for Oceania in each sector? | CREATE TABLE climate_finance_oceania (id INT,country VARCHAR(50),sector VARCHAR(50),amount FLOAT); INSERT INTO climate_finance_oceania (id,country,sector,amount) VALUES (1,'Australia','Climate Mitigation',3500000); INSERT INTO climate_finance_oceania (id,country,sector,amount) VALUES (2,'Australia','Climate Adaptation',2000000); INSERT INTO climate_finance_oceania (id,country,sector,amount) VALUES (3,'New Zealand','Climate Mitigation',1800000); INSERT INTO climate_finance_oceania (id,country,sector,amount) VALUES (4,'New Zealand','Climate Adaptation',1500000); | SELECT sector, SUM(amount) as total_amount FROM climate_finance_oceania WHERE country IN ('Australia', 'New Zealand') GROUP BY sector; |
What are the combined sales figures for 'Lipitor' in the US and 'Crestor' in Canada? | CREATE TABLE drug_sales (drug_name TEXT,region TEXT,revenue FLOAT); INSERT INTO drug_sales (drug_name,region,revenue) VALUES ('Lipitor','US',3000000),('Crestor','Canada',2500000); | SELECT SUM(revenue) FROM drug_sales WHERE (drug_name = 'Lipitor' AND region = 'US') OR (drug_name = 'Crestor' AND region = 'Canada'); |
What is the percentage of patients diagnosed with Measles who have been vaccinated in each state? | CREATE TABLE Patients (ID INT,Disease VARCHAR(20),Vaccinated VARCHAR(5),State VARCHAR(20)); INSERT INTO Patients (ID,Disease,Vaccinated,State) VALUES (1,'Measles','Yes','California'),(2,'Measles','No','California'); | SELECT State, (COUNT(*) * 100.0 / (SELECT COUNT(*) FROM Patients WHERE Disease = 'Measles' AND State = Patients.State)) AS Percentage FROM Patients WHERE Vaccinated = 'Yes' GROUP BY State; |
Which female founders have received the most funding? | CREATE TABLE founders (founder_id INT,founder_name VARCHAR(50),gender CHAR(1),startup_id INT); CREATE TABLE startups (startup_id INT,funding_amount INT); INSERT INTO founders VALUES (1,'Alice','F',1),(2,'Bob','M',2),(3,'Charlie','M',3); INSERT INTO startups VALUES (1,500000),(2,750000),(3,300000); | SELECT f.founder_name, SUM(s.funding_amount) as total_funding FROM founders f JOIN startups s ON f.startup_id = s.startup_id WHERE f.gender = 'F' GROUP BY f.founder_name ORDER BY total_funding DESC; |
What is the total funding raised by startups from the US? | CREATE TABLE startups (id INT,name TEXT,founded_year INT,industry TEXT,country TEXT,funding FLOAT); | SELECT SUM(funding) FROM startups WHERE country = 'United States'; |
How many 'crop_yield' records are there for each 'farm' in the 'crop_yields' table? | CREATE TABLE crop_yields (id INT,farm_id INT,crop VARCHAR(50),yield FLOAT); | SELECT farm_id, COUNT(*) FROM crop_yields GROUP BY farm_id; |
Count the number of endangered species in the table "marine_mammals" | CREATE TABLE marine_mammals (id INT PRIMARY KEY,name VARCHAR(255),species VARCHAR(255),population INT,conservation_status VARCHAR(255)); INSERT INTO marine_mammals (id,name,species,population,conservation_status) VALUES (1,'Blue Whale','Balaenoptera musculus',10000,'Endangered'),(2,'Dolphin','Tursiops truncatus',60000,'Least Concern'); | SELECT COUNT(*) FROM marine_mammals WHERE conservation_status = 'Endangered'; |
What is the total number of digital assets issued by companies based in the US? | CREATE TABLE companies (id INT,name TEXT,country TEXT); INSERT INTO companies (id,name,country) VALUES (1,'Securitize','USA'),(2,'Polymath','Canada'); | SELECT SUM(CASE WHEN country = 'USA' THEN 1 ELSE 0 END) FROM companies; |
What is the total carbon sequestration for each type of forest? | CREATE TABLE forest_type (forest_type VARCHAR(255),avg_carbon_ton FLOAT,area_ha INT); INSERT INTO forest_type (forest_type,avg_carbon_ton,area_ha) VALUES ('Forest1',2.3,5000),('Forest2',2.5,7000),('Forest3',2.8,6000),('Forest4',3.0,8000),('Forest5',3.2,9000); | SELECT forest_type, AVG(avg_carbon_ton)*area_ha AS total_carbon_seq FROM forest_type GROUP BY forest_type; |
What is the average consumer rating for cruelty-free cosmetics products sourced from India? | CREATE TABLE product_info (product_name TEXT,is_cruelty_free BOOLEAN,consumer_rating REAL,source_country TEXT); INSERT INTO product_info (product_name,is_cruelty_free,consumer_rating,source_country) VALUES ('Product 16',true,4.6,'IN'),('Product 17',false,3.9,'CN'),('Product 18',true,4.2,'US'),('Product 19',false,1.7,'CN'),('Product 20',true,2.9,'IN'); | SELECT AVG(consumer_rating) FROM product_info WHERE is_cruelty_free = true AND source_country = 'IN'; |
Find the average price of cruelty-free foundation products in Canada. | CREATE TABLE cosmetics (product VARCHAR(255),price DECIMAL(10,2),cruelty_free BOOLEAN); CREATE VIEW canada_cosmetics AS SELECT * FROM cosmetics WHERE country = 'Canada'; | SELECT AVG(price) FROM canada_cosmetics WHERE product_category = 'Foundations' AND cruelty_free = true; |
Find the number of products with a price point below $10 and a rating above 4.5? | CREATE TABLE Product_Info(Product_Name VARCHAR(30),Price DECIMAL(5,2),Rating DECIMAL(3,2)); INSERT INTO Product_Info(Product_Name,Price,Rating) VALUES('Product A',8.50,4.7),('Product B',12.00,4.8),('Product C',7.99,4.6),('Product D',9.99,4.9),('Product E',6.50,4.4),('Product F',11.00,4.2),('Product G',5.99,4.8),('Product H',8.99,4.7),('Product I',10.00,4.3),('Product J',7.50,4.5); | SELECT COUNT(*) FROM Product_Info WHERE Price < 10 AND Rating > 4.5; |
List vegan skincare products with a price below 15 EUR, available in Spain | CREATE TABLE products (product_id INT,product_name TEXT,price DECIMAL(5,2),is_vegan BOOLEAN,country TEXT); | SELECT * FROM products WHERE is_vegan = TRUE AND price < 15 AND country = 'Spain'; |
What is the average rating of cosmetics products manufactured in the USA? | CREATE TABLE Product (product_id INT,product_name VARCHAR(50),category VARCHAR(50),manufacturer_country VARCHAR(50)); INSERT INTO Product (product_id,product_name,category,manufacturer_country) VALUES (1,'Lipstick','Cosmetics','USA'); | SELECT AVG(Review.rating) FROM Review INNER JOIN Product ON Review.product_id = Product.product_id WHERE Product.manufacturer_country = 'USA' AND Product.category = 'Cosmetics'; |
Delete all veteran unemployment claims filed more than 1 year ago in all states? | CREATE TABLE veteran_unemployment (id INT,claim_date DATE,state VARCHAR(50),claim_status VARCHAR(50)); INSERT INTO veteran_unemployment (id,claim_date,state,claim_status) VALUES (1,'2021-01-05','California','Filed'),(2,'2022-02-10','Texas','Rejected'); | DELETE FROM veteran_unemployment WHERE claim_date < DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR); |
What are the threat intelligence metrics for a specific country over the past year? | CREATE TABLE threat_intelligence (date DATE,threat_level INT,incident_count INT,country VARCHAR(255)); INSERT INTO threat_intelligence (date,threat_level,incident_count,country) VALUES ('2021-01-01',5,200,'USA'),('2021-02-01',4,150,'USA'),('2021-03-01',6,220,'USA'),('2021-04-01',3,100,'USA'),('2021-05-01',7,250,'USA'),('2021-06-01',4,180,'USA'),('2021-07-01',5,200,'USA'),('2021-08-01',6,220,'USA'),('2021-09-01',3,100,'USA'),('2021-10-01',7,250,'USA'),('2021-11-01',4,180,'USA'),('2021-12-01',5,200,'USA'); | SELECT country, EXTRACT(YEAR FROM date) AS year, AVG(threat_level), AVG(incident_count) FROM threat_intelligence WHERE country = 'USA' GROUP BY country, year; |
Display all peacekeeping operations from the 'peacekeeping_operations' table | CREATE TABLE peacekeeping_operations (operation_id INT,operation_name VARCHAR(255),start_date DATE,end_date DATE,operation_region VARCHAR(255)); | SELECT * FROM peacekeeping_operations WHERE end_date IS NULL; |
What is the average unloading time in minutes for ports in Asia? | CREATE TABLE Port (id INT PRIMARY KEY,name VARCHAR(255),country VARCHAR(255),continent VARCHAR(255)); INSERT INTO Port (id,name,country,continent) VALUES (1,'Port of Shanghai','Shanghai','Asia'); | SELECT Port_id, AVG(unloading_time) FROM Port_Performance WHERE continent = 'Asia' GROUP BY Port_id; |
What is the maximum cargo weight handled by each crane in the last month? | CREATE TABLE cranes (id INT,name VARCHAR(50),type VARCHAR(50),max_weight INT); CREATE TABLE cargo_handling (id INT,crane_id INT,cargo_weight INT,handling_date DATE); INSERT INTO cranes VALUES (1,'Crane 1','Gantry',50); INSERT INTO cranes VALUES (2,'Crane 2','Gantry',60); INSERT INTO cargo_handling VALUES (1,1,40,'2022-01-01'); INSERT INTO cargo_handling VALUES (2,2,55,'2022-01-15'); INSERT INTO cargo_handling VALUES (3,1,45,'2022-02-01'); | SELECT cranes.name, MAX(cargo_handling.cargo_weight) FROM cranes INNER JOIN cargo_handling ON cranes.id = cargo_handling.crane_id WHERE cargo_handling.handling_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 MONTH) GROUP BY cranes.name; |
List all 'recycling' initiatives in the 'sustainability_programs' table. | CREATE TABLE sustainability_programs (id INT,name TEXT,type TEXT); INSERT INTO sustainability_programs (id,name,type) VALUES (1,'plastic_recycling','recycling'),(2,'paper_recycling','recycling'),(3,'electronic_waste','disposal'); | SELECT name FROM sustainability_programs WHERE type = 'recycling'; |
What is the average salary of workers in the 'manufacturing' industry across different regions? | CREATE TABLE Workers (id INT,name VARCHAR(50),salary FLOAT,industry VARCHAR(50)); INSERT INTO Workers (id,name,salary,industry) VALUES (1,'John Doe',50000,'manufacturing'); INSERT INTO Workers (id,name,salary,industry) VALUES (2,'Jane Smith',55000,'manufacturing'); CREATE TABLE Regions (id INT,region_name VARCHAR(50)); INSERT INTO Regions (id,region_name) VALUES (1,'Northeast'); INSERT INTO Regions (id,region_name) VALUES (2,'Southeast'); | SELECT AVG(Workers.salary) FROM Workers INNER JOIN Regions ON Workers.id = Regions.id WHERE Workers.industry = 'manufacturing'; |
Find the total number of investments in each sector, ordered from highest to lowest. | CREATE TABLE investments(id INT,sector VARCHAR(20),esg_score INT); INSERT INTO investments VALUES(1,'Tech',85),(2,'Healthcare',75),(3,'Tech',82); | SELECT sector, COUNT(*) as total_investments FROM investments GROUP BY sector ORDER BY total_investments DESC; |
How many military satellites of space_power type are present in the SATELLITE_DATA table? | CREATE TABLE SATELLITE_DATA (id INT PRIMARY KEY,name VARCHAR(255),type VARCHAR(255),country VARCHAR(255)); | SELECT COUNT(*) FROM SATELLITE_DATA WHERE type = 'space_power'; |
What is the total number of cybersecurity incidents in the Asia-Pacific region by year? | CREATE TABLE cybersecurity_incidents (id INT,incident_date DATE,region VARCHAR(255)); INSERT INTO cybersecurity_incidents (id,incident_date,region) VALUES (1,'2020-01-01','Asia-Pacific'); INSERT INTO cybersecurity_incidents (id,incident_date,region) VALUES (2,'2021-03-15','Europe'); | SELECT YEAR(incident_date) AS year, COUNT(*) AS total_incidents FROM cybersecurity_incidents WHERE region = 'Asia-Pacific' GROUP BY year; |
What is the total revenue, by platform, for the last quarter? | CREATE TABLE revenue_platform (revenue_id INT,platform VARCHAR(255),revenue DECIMAL); CREATE VIEW quarterly_revenue AS SELECT platform,SUM(revenue) as total_revenue FROM revenue_platform WHERE revenue_date >= DATEADD(quarter,-1,CURRENT_DATE) GROUP BY platform; | SELECT * FROM quarterly_revenue; |
Show the total budget allocated for each program category in 2023. | CREATE TABLE Budget (id INT,category TEXT,year INT,allocated_amount INT); INSERT INTO Budget (id,category,year,allocated_amount) VALUES (1,'Education',2023,30000); INSERT INTO Budget (id,category,year,allocated_amount) VALUES (2,'Healthcare',2023,50000); | SELECT category, SUM(allocated_amount) FROM Budget WHERE year = 2023 GROUP BY category; |
Update the budget for program_id 104 to 8500 starting from 2022-07-01. | CREATE TABLE Programs (program_id INT,budget DECIMAL(10,2),start_date DATE); INSERT INTO Programs (program_id,budget,start_date) VALUES (101,10000,'2021-01-01'),(104,7000,'2021-04-01'); | UPDATE Programs SET budget = 8500, start_date = '2022-07-01' WHERE program_id = 104; |
What was the average donation amount per donor by country for 2022? | CREATE TABLE Donors (donor_id INT,donation_amount DECIMAL(10,2),donor_country VARCHAR(255),donation_date DATE); INSERT INTO Donors (donor_id,donation_amount,donor_country,donation_date) VALUES (6,500,'Canada','2022-01-01'),(7,350,'Mexico','2022-02-01'),(8,700,'Brazil','2022-03-01'),(9,280,'South Africa','2022-04-01'),(10,600,'India','2022-05-01'); | SELECT donor_country, AVG(donation_amount) as avg_donation FROM Donors WHERE donation_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY donor_country; |
What's the average amount donated and number of donors per day for the past week? | CREATE TABLE Donations (Id INT,DonationDate DATE,Amount DECIMAL(10,2),DonorId INT); INSERT INTO Donations VALUES (1,'2022-01-01',100.00,1),(2,'2022-01-01',200.00,2); | SELECT DATE_TRUNC('day', DonationDate) as Day, AVG(Amount) as AvgAmount, COUNT(DISTINCT DonorId) as DistinctDonors FROM Donations WHERE DonationDate >= DATEADD(day, -7, CURRENT_DATE) GROUP BY Day; |
List all the community centers in Colombia, including their capacities and locations. | CREATE TABLE community_centers (id INT,name TEXT,capacity INT,location TEXT,country TEXT); INSERT INTO community_centers (id,name,capacity,location,country) VALUES (1,'Centro Comunitario 1',100,'Bogotá','Colombia'); INSERT INTO community_centers (id,name,capacity,location,country) VALUES (2,'Centro Comunitario 2',150,'Medellín','Colombia'); | SELECT * FROM community_centers WHERE country = 'Colombia'; |
What is the total funding received by organizations that have implemented digital divide initiatives? | CREATE TABLE funding (funding_id INT,org_id INT,amount INT); INSERT INTO funding (funding_id,org_id,amount) VALUES (1,1,100000),(2,1,200000),(3,2,150000); CREATE TABLE organizations (org_id INT,name VARCHAR(50),implemented_digital_divide_initiatives BOOLEAN); INSERT INTO organizations (org_id,name,implemented_digital_divide_initiatives) VALUES (1,'Tech for Good Inc.',TRUE),(2,'Social Impact Corp.',FALSE); | SELECT SUM(amount) FROM funding INNER JOIN organizations ON funding.org_id = organizations.org_id WHERE implemented_digital_divide_initiatives = TRUE; |
Which vehicle type in the 'Bus' service had the most maintenance incidents in the last month? | CREATE TABLE MaintenanceIncidents (IncidentID INT,VehicleID INT,VehicleType VARCHAR(50),IncidentDate DATE); INSERT INTO MaintenanceIncidents (IncidentID,VehicleID,VehicleType,IncidentDate) VALUES (1,1,'MiniBus','2022-02-01'),(2,1,'MiniBus','2022-02-03'),(3,2,'Coach','2022-02-02'),(4,3,'MidiBus','2022-02-04'),(5,4,'MiniBus','2022-02-05'),(6,4,'MiniBus','2022-02-06'),(7,5,'MidiBus','2022-02-07'),(8,5,'MidiBus','2022-02-08'),(9,1,'MiniBus','2022-02-09'); | SELECT v.VehicleType, COUNT(*) as MaintenanceIncidents FROM Vehicles v JOIN MaintenanceIncidents mi ON v.VehicleID = mi.VehicleID WHERE v.Service = 'Bus' AND mi.IncidentDate >= DATEADD(month, -1, GETDATE()) GROUP BY v.VehicleType ORDER BY MaintenanceIncidents DESC; |
Update the minimum living wage for 'Bangladesh' in the 'apparel_manufacturing' sector | CREATE TABLE living_wage (country VARCHAR(50),apparel_manufacturing_sector VARCHAR(50),living_wage_minimum FLOAT,living_wage_maximum FLOAT); INSERT INTO living_wage (country,apparel_manufacturing_sector,living_wage_minimum,living_wage_maximum) VALUES ('Bangladesh','apparel_manufacturing',80,120); | UPDATE living_wage SET living_wage_minimum = 90 WHERE country = 'Bangladesh' AND apparel_manufacturing_sector = 'apparel_manufacturing'; |
What is the percentage of factories in each country that have implemented circular economy practices? | CREATE TABLE factory_circle (factory VARCHAR(255),country VARCHAR(255),practice VARCHAR(255)); INSERT INTO factory_circle (factory,country,practice) VALUES ('Factory1','Bangladesh','yes'),('Factory2','Bangladesh','no'),('Factory3','Bangladesh','yes'),('Factory4','China','yes'),('Factory5','China','no'),('Factory6','India','no'),('Factory7','India','yes'),('Factory8','India','yes'); | SELECT country, 100.0 * COUNT(*) FILTER (WHERE practice = 'yes') / COUNT(*) AS percentage FROM factory_circle GROUP BY country; |
What is the total quantity of sustainable material 'organic cotton' used by manufacturers in the 'Europe' region? | CREATE TABLE Manufacturers (ManufacturerID INT,ManufacturerName VARCHAR(50),Region VARCHAR(50)); INSERT INTO Manufacturers (ManufacturerID,ManufacturerName,Region) VALUES (1,'EcoFriendlyFabrics','Europe'),(2,'GreenYarns','Asia'); CREATE TABLE Materials (MaterialID INT,MaterialName VARCHAR(50),QuantityUsed INT); INSERT INTO Materials (MaterialID,MaterialName,QuantityUsed) VALUES (1,'organic cotton',2000,(2,'recycled polyester',1500)); | SELECT SUM(QuantityUsed) FROM Materials WHERE MaterialName = 'organic cotton' AND Region = 'Europe'; |
Show the number of financial wellbeing programs offered in each country. | CREATE TABLE financial_wellbeing_programs (program_id INT,program_name TEXT,country TEXT); INSERT INTO financial_wellbeing_programs (program_id,program_name,country) VALUES (1,'Wellness Workshops','Canada'),(2,'Financial Fitness','Mexico'),(3,'Empowerment Seminars','Brazil'),(4,'Mindful Money','USA'); | SELECT financial_wellbeing_programs.country, COUNT(financial_wellbeing_programs.program_id) FROM financial_wellbeing_programs GROUP BY financial_wellbeing_programs.country; |
What is the average amount of Shariah-compliant financing for clients in the top 3 countries with the most Shariah-compliant financing, excluding clients from Saudi Arabia and the UAE? | CREATE TABLE shariah_financing(client_id INT,client_country VARCHAR(25),amount FLOAT);INSERT INTO shariah_financing(client_id,client_country,amount) VALUES (1,'Bahrain',5000),(2,'UAE',7000),(3,'Indonesia',6000),(4,'Saudi Arabia',8000),(5,'Bahrain',9000),(6,'UAE',10000),(7,'Indonesia',11000),(8,'Saudi Arabia',12000),(9,'Bahrain',13000),(10,'UAE',14000),(11,'Indonesia',15000),(12,'Bahrain',16000); | SELECT client_country, AVG(amount) as avg_financing FROM shariah_financing WHERE client_country NOT IN ('Saudi Arabia', 'UAE') GROUP BY client_country ORDER BY AVG(amount) DESC LIMIT 3; |
List the programs that have not received any donations in the last year, excluding those related to Disaster Relief? | CREATE TABLE Programs (ProgramID INT,ProgramName TEXT,Category TEXT); CREATE TABLE Donations (DonationID INT,ProgramID INT,DonationDate DATE); INSERT INTO Programs (ProgramID,ProgramName,Category) VALUES (1,'Education','General'),(2,'Health','General'),(3,'Disaster Relief','Special'); INSERT INTO Donations (DonationID,ProgramID,DonationDate) VALUES (1,1,'2021-01-01'),(2,2,'2022-02-15'),(3,3,'2021-09-01'); | SELECT ProgramName FROM Programs p WHERE ProgramID NOT IN (SELECT Donations.ProgramID FROM Donations WHERE Donations.DonationDate >= DATE_SUB(CURDATE(), INTERVAL 1 YEAR)) AND Category != 'Special'; |
What is the total budget and number of programs for each program category? | CREATE TABLE Programs (ProgramID INT,ProgramName TEXT,ProgramCategory TEXT,Budget DECIMAL); INSERT INTO Programs (ProgramID,ProgramName,ProgramCategory,Budget) VALUES (1,'Education','Social',15000.00),(2,'Healthcare','Health',20000.00),(3,'Environment','Environment',10000.00),(4,'Awareness','Social',5000.00); | SELECT ProgramCategory, SUM(Budget) as TotalBudget, COUNT(ProgramID) as TotalPrograms FROM Programs GROUP BY ProgramCategory; |
What is the total number of packages shipped from each warehouse in the province of Ontario, Canada in the month of June? | CREATE TABLE warehouses (id INT,city VARCHAR(255),state VARCHAR(255),country VARCHAR(255)); CREATE TABLE packages (id INT,warehouse_id INT,weight INT,shipped_date DATE); INSERT INTO packages (id,warehouse_id,weight,shipped_date) VALUES (1,1,50,'2022-06-01'),(2,2,30,'2022-06-02'),(3,3,40,'2022-06-03'); INSERT INTO warehouses (id,city,state,country) VALUES (1,'Toronto','Ontario','Canada'),(2,'Montreal','Quebec','Canada'),(3,'Vancouver','British Columbia','Canada'); | SELECT warehouses.city, COUNT(*) FROM packages JOIN warehouses ON packages.warehouse_id = warehouses.id WHERE warehouses.state = 'Ontario' AND warehouses.country = 'Canada' AND MONTH(packages.shipped_date) = 6 GROUP BY warehouses.city; |
How many bioprocess engineering projects have been conducted in Africa using CRISPR technology? | CREATE TABLE bioprocess_engineering (project_name VARCHAR(255),location VARCHAR(255),technology VARCHAR(255)); INSERT INTO bioprocess_engineering (project_name,location,technology) VALUES ('ProjAfrica','Africa','CRISPR-Cas9'); | SELECT COUNT(*) FROM bioprocess_engineering WHERE location = 'Africa' AND technology = 'CRISPR-Cas9'; |
What is the average funding received by biotech startups in the US, grouped by state? | CREATE SCHEMA if not exists biotech; USE biotech; CREATE TABLE if not exists startups (id INT PRIMARY KEY,name VARCHAR(255),location VARCHAR(255),industry VARCHAR(255),funding DECIMAL(10,2)); INSERT INTO startups (id,name,location,industry,funding) VALUES (1,'StartupA','California','Biotech',5000000.00),(2,'StartupB','NewYork','Biotech',7000000.00),(3,'StartupC','California','Healthcare',3000000.00); | SELECT location, AVG(funding) FROM startups WHERE industry = 'Biotech' GROUP BY location; |
What is the name of the biotech startup that received the most funding in the United States? | CREATE SCHEMA if not exists biotech; CREATE TABLE if not exists biotech.startups (id INT PRIMARY KEY,name VARCHAR(255),location VARCHAR(255),funding FLOAT); INSERT INTO biotech.startups (id,name,location,funding) VALUES (1,'StartupA','USA',9000000),(2,'StartupB','USA',6000000),(3,'StartupC','Canada',3000000),(4,'StartupD','USA',8000000); | SELECT name FROM biotech.startups WHERE location = 'USA' AND funding = (SELECT MAX(funding) FROM biotech.startups WHERE location = 'USA'); |
What is the total budget allocated for healthcare projects in each city in the state of Florida? | CREATE TABLE Cities (CityID INTEGER,CityName TEXT,State TEXT); CREATE TABLE HealthcareProjects (ProjectID INTEGER,ProjectCityID INTEGER,ProjectBudget INTEGER); | SELECT C.CityName, SUM(HP.ProjectBudget) FROM Cities C INNER JOIN HealthcareProjects HP ON C.CityID = HP.ProjectCityID WHERE C.State = 'Florida' GROUP BY C.CityName; |
How many students are enrolled in the Data Science program in the Fall semester? | CREATE TABLE student_enrollment(id INT,program TEXT,semester TEXT); INSERT INTO student_enrollment(id,program,semester) VALUES (1,'Data Science','Fall'),(2,'Mathematics','Spring'); | SELECT COUNT(*) FROM student_enrollment WHERE program = 'Data Science' AND semester = 'Fall'; |
How many indigenous communities are in the Arctic Research Station 13 and 14? | CREATE TABLE Arctic_Research_Station_13 (id INT,community TEXT); CREATE TABLE Arctic_Research_Station_14 (id INT,community TEXT); | SELECT COUNT(DISTINCT community) FROM Arctic_Research_Station_13; SELECT COUNT(DISTINCT community) FROM Arctic_Research_Station_14; SELECT COUNT(DISTINCT community) FROM (SELECT * FROM Arctic_Research_Station_13 UNION ALL SELECT * FROM Arctic_Research_Station_14) AS Arctic_Communities; |
What is the maximum number of years a heritage site has been closed for restoration? | CREATE TABLE restoration (id INT,site_name VARCHAR(255),start_year INT,end_year INT); INSERT INTO restoration (id,site_name,start_year,end_year) VALUES (1,'Angkor Wat',1965,1972),(2,'Petra',1993,1998); | SELECT MAX(end_year - start_year) FROM restoration; |
Get the names of all solar farms in Arizona | CREATE TABLE Infrastructure (id INT,name VARCHAR(100),type VARCHAR(50),location VARCHAR(100),state VARCHAR(50)); INSERT INTO Infrastructure (id,name,type,location,state) VALUES (10,'Arizona Solar One','Solar Farm','Buckeye','Arizona'); | SELECT name FROM Infrastructure WHERE type = 'Solar Farm' AND state = 'Arizona'; |
Update the name of the record with id 2 in the 'contractors' table to 'GreenTech' | CREATE TABLE contractors (id INT,name VARCHAR(50),country VARCHAR(50),registration_date DATE); | UPDATE contractors SET name = 'GreenTech' WHERE id = 2; |
What is the total length of all the rail tracks in 'Asia'? | CREATE TABLE RailTracks (TrackID int,Location varchar(100),Length decimal(10,2)); INSERT INTO RailTracks VALUES (1,'Asia',500); INSERT INTO RailTracks VALUES (2,'Asia',700); | SELECT SUM(Length) FROM RailTracks WHERE Location = 'Asia'; |
Which projects in 'bridge_data' have a 'construction_year' between 2010 and 2020? | CREATE TABLE bridge_data (id INT,bridge_name VARCHAR(50),construction_year INT); INSERT INTO bridge_data (id,bridge_name,construction_year) VALUES (1,'Golden Gate Bridge',1937),(2,'Sydney Harbour Bridge',1932); INSERT INTO bridge_data (id,bridge_name,construction_year) VALUES (3,'New Bridge',2015); | SELECT * FROM bridge_data WHERE construction_year BETWEEN 2010 AND 2020; |
What is the average travel advisory level for each country in Europe? | CREATE TABLE if not exists countries (id INT,name VARCHAR(20)); CREATE TABLE if not exists advisories (id INT,country_id INT,level INT); | SELECT c.name, AVG(a.level) FROM advisories a JOIN countries c ON a.country_id = c.id WHERE c.name IN ('Austria', 'Belgium', 'Czech Republic', 'Denmark', 'Estonia', 'Finland', 'France', 'Germany', 'Greece', 'Hungary', 'Ireland', 'Italy', 'Latvia', 'Lithuania', 'Luxembourg', 'Malta', 'Netherlands', 'Norway', 'Poland', 'Portugal', 'Slovakia', 'Slovenia', 'Spain', 'Sweden', 'Switzerland', 'United Kingdom') GROUP BY c.name; |
What is the maximum carbon emissions reduction achieved by hotels in each continent, and the number of hotels that achieved this reduction? | CREATE TABLE Hotels (HotelID INT,HotelName VARCHAR(50),Continent VARCHAR(20),CO2EmissionsReduction INT); INSERT INTO Hotels (HotelID,HotelName,Continent,CO2EmissionsReduction) VALUES (1,'GreenPalace','Asia',30),(2,'EcoLodge','Africa',25); | SELECT Continent, MAX(CO2EmissionsReduction) as MaxReduction, COUNT(*) as HotelCount FROM Hotels GROUP BY Continent; |
Which countries have had a travel advisory of "Reconsider travel" or higher since 2010? | CREATE TABLE TravelAdvisories (id INT PRIMARY KEY,country_id INT,year INT,advisory VARCHAR(255)); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (1,1,2010,'Exercise normal precautions'); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (2,1,2011,'Exercise normal precautions'); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (3,2,2010,'Reconsider travel'); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (4,2,2011,'Exercise normal precautions'); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (5,3,2010,'Do not travel'); INSERT INTO TravelAdvisories (id,country_id,year,advisory) VALUES (6,3,2011,'Reconsider travel'); | SELECT country_id FROM TravelAdvisories WHERE advisory IN ('Reconsider travel', 'Do not travel') AND year >= 2010 GROUP BY country_id; |
List all the marine research stations and their respective regions | CREATE TABLE research_stations (station_id INT,station_name VARCHAR(30),region_id INT); INSERT INTO research_stations (station_id,station_name,region_id) VALUES (1,'Station A',1),(2,'Station B',2),(3,'Station C',3); | SELECT station_name, region_id FROM research_stations; |
Determine the most popular dish in each category | CREATE TABLE menu (dish_id INT,dish_name VARCHAR(255),dish_type VARCHAR(255),sales INT); INSERT INTO menu (dish_id,dish_name,dish_type,sales) VALUES (1,'Quinoa Salad','Vegetarian',150),(2,'Chicken Sandwich','Non-Vegetarian',200),(3,'Pumpkin Soup','Vegetarian',120); | SELECT dish_type, dish_name, sales FROM menu m1 WHERE sales = (SELECT MAX(sales) FROM menu m2 WHERE m1.dish_type = m2.dish_type) GROUP BY dish_type; |
How many menu items have a price below $5? | CREATE TABLE menus (menu_id INT,menu_name VARCHAR(50),type VARCHAR(20),price DECIMAL(5,2)); INSERT INTO menus (menu_id,menu_name,type,price) VALUES (1,'Quinoa Salad','vegetarian',9.99),(2,'Margherita Pizza','non-vegetarian',12.99),(3,'Chickpea Curry','vegetarian',10.99),(5,'Vegan Burger','vegan',11.99),(6,'Vegan Ice Cream','vegan',5.99),(7,'French Fries','vegetarian',3.99),(8,'Soda','non-vegetarian',2.49); | SELECT COUNT(*) FROM menus WHERE price < 5.00; |
What is the total number of ground vehicles sold by Lockheed Martin in 2020? | CREATE TABLE military_sales (equipment_type VARCHAR(20),manufacturer VARCHAR(20),year INT,quantity INT); INSERT INTO military_sales (equipment_type,manufacturer,year,quantity) VALUES ('Ground Vehicles','Lockheed Martin',2020,1200); | SELECT SUM(quantity) FROM military_sales WHERE equipment_type = 'Ground Vehicles' AND manufacturer = 'Lockheed Martin' AND year = 2020; |
What is the average productivity score for workers in the 'extraction' site?' | CREATE TABLE productivity (id INT,site TEXT,worker INT,score INT); INSERT INTO productivity (id,site,worker,score) VALUES (1,'extraction',1,90),(2,'extraction',2,95),(3,'drilling',1,85); | SELECT AVG(score) FROM productivity WHERE site = 'extraction'; |
What is the percentage of workers who identify as female or male in each department, including the total number of workers in each department? | CREATE TABLE department (dept_id INT,dept_name VARCHAR(50),worker_id INT); INSERT INTO department (dept_id,dept_name,worker_id) VALUES (1,'Mining',1),(1,'Mining',5),(2,'Engineering',2); CREATE TABLE worker_demographics (worker_id INT,worker_gender VARCHAR(10)); INSERT INTO worker_demographics (worker_id,worker_gender) VALUES (1,'Female'),(2,'Male'),(3,'Female'),(4,'Non-binary'),(5,'Other'); | SELECT dept_name, worker_gender, COUNT(*) as count, COUNT(*) * 100.0 / (SELECT COUNT(*) FROM department d JOIN worker_demographics w ON d.worker_id = w.worker_id) as percentage, (SELECT COUNT(*) FROM department d JOIN worker_demographics w ON d.worker_id = w.worker_id) as total FROM department d JOIN worker_demographics w ON d.worker_id = w.worker_id GROUP BY dept_name, worker_gender; |
What is the average number of words in news articles in the "news_articles" table written by female authors? | CREATE TABLE news_articles (id INT,title VARCHAR(100),author_id INT,word_count INT,author_gender VARCHAR(10)); INSERT INTO news_articles (id,title,author_id,word_count,author_gender) VALUES (1,'News Article 1',1,500,'Female'),(2,'News Article 2',2,700,'Male'); | SELECT AVG(word_count) FROM news_articles WHERE author_gender = 'Female'; |
What is the average word count for articles published in the 'news' schema, grouped by author? | CREATE TABLE news.articles (article_id INT,title VARCHAR(100),author VARCHAR(100),word_count INT); INSERT INTO news.articles (article_id,title,author,word_count) VALUES (1,'Article 1','John Doe',500),(2,'Article 2','Jane Doe',600),(3,'Article 3','John Doe',700); | SELECT author, AVG(word_count) FROM news.articles GROUP BY author; |
What is the total number of news articles published per month in 2021, grouped by their respective categories? | CREATE TABLE news_articles (article_id INT,pub_date DATE,category VARCHAR(255)); INSERT INTO news_articles (article_id,pub_date,category) VALUES (1,'2021-01-01','Politics'),(2,'2021-01-10','Sports'),(3,'2021-03-15','Entertainment'); | SELECT MONTH(pub_date) AS month, category, COUNT(*) AS total FROM news_articles WHERE YEAR(pub_date) = 2021 GROUP BY month, category; |
What is the sum of donations and the number of volunteers for organizations that have more than 2 volunteers? | CREATE TABLE Organization (OrgID INT,Name VARCHAR(255)); CREATE TABLE Volunteer (VolID INT,OrgID INT,Name VARCHAR(255)); CREATE TABLE Donation (DonID INT,OrgID INT,Amount DECIMAL(10,2)); INSERT INTO Organization VALUES (1,'Greenpeace'),(2,'Red Cross'),(3,'Wildlife Fund'); INSERT INTO Volunteer VALUES (1,1,'John'),(2,1,'Jane'),(3,2,'Bob'),(4,2,'Alice'),(5,3,'Ella'),(6,3,'Don'); INSERT INTO Donation VALUES (1,1,50.00),(2,1,100.00),(3,2,75.00),(4,2,200.00),(5,3,120.00); | SELECT o.OrgID, SUM(d.Amount) as TotalDonations, COUNT(v.VolID) as TotalVolunteers FROM Organization o LEFT JOIN Volunteer v ON o.OrgID = v.OrgID LEFT JOIN Donation d ON o.OrgID = d.OrgID WHERE (SELECT COUNT(*) FROM Volunteer WHERE Volunteer.OrgID = o.OrgID) > 2 GROUP BY o.OrgID; |
What is the maximum donation amount for each organization in the 'Donations' and 'Organizations' tables? | CREATE TABLE Donations (donation_id INT,org_id INT,donation_amount DECIMAL(10,2)); | SELECT O.name, MAX(D.donation_amount) FROM Donations D INNER JOIN Organizations O ON D.org_id = O.org_id GROUP BY O.name; |
What is the total donation amount in 2022 by donors located in the Middle East or North Africa? | CREATE TABLE Donors (DonorID int,DonorType varchar(50),Country varchar(50),AmountDonated numeric(18,2),DonationDate date); INSERT INTO Donors (DonorID,DonorType,Country,AmountDonated,DonationDate) VALUES (1,'Organization','Egypt',10000,'2022-01-01'),(2,'Individual','Saudi Arabia',5000,'2022-02-01'),(3,'Organization','Iran',15000,'2022-03-01'),(4,'Individual','Algeria',8000,'2022-04-01'); | SELECT SUM(AmountDonated) FROM Donors WHERE DonorType = 'Organization' AND (Country LIKE 'Middle East%' OR Country LIKE 'North Africa%') AND YEAR(DonationDate) = 2022; |
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