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Author: SouravUpadhyay7

Window Function/windowfunction.sql

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+USE roc;
+
+CREATE TABLE IF NOT EXISTS restaurants (
+    id INT PRIMARY KEY AUTO_INCREMENT,
+    name VARCHAR(100),
+    city VARCHAR(50),
+    cuisine VARCHAR(50),
+    rating FLOAT,
+    rating_count INT,
+    cost INT
+);
+
+INSERT INTO restaurants (name, city, cuisine, rating, rating_count, cost) VALUES
+('Spicy Delight', 'Mumbai', 'Indian', 4.5, 120, 500),
+('Tandoori Treats', 'Delhi', 'Indian', 4.2, 95, 450),
+('Sushi World', 'Bangalore', 'Japanese', 4.7, 150, 800),
+('Pizza Hub', 'Mumbai', 'Italian', 4.0, 110, 600),
+('Pasta Paradise', 'Delhi', 'Italian', 3.8, 85, 550),
+('Burger Junction', 'Chennai', 'Fast Food', 4.1, 130, 400),
+('BBQ Nation', 'Bangalore', 'BBQ', 4.6, 200, 900),
+('Chaat Corner', 'Delhi', 'Street Food', 4.3, 180, 300),
+('Dimsum Den', 'Mumbai', 'Chinese', 4.4, 140, 700),
+('Biryani Bliss', 'Hyderabad', 'Indian', 4.8, 250, 650),
+('Taco House', 'Bangalore', 'Mexican', 4.2, 160, 750),
+('Steakhouse', 'Chennai', 'American', 4.5, 140, 1000);
+
+-- Verify inserted data
+SELECT * FROM restaurants;
+
+-- 1. Create new column containing average rating of restaurants throught the dataset
+select *,  round(avg(rating) over(),2) as 'avg_rating' from restaurants;
+
+-- 2. Create new column containing average rating_count of restaurants throught the dataset
+select *,  round(avg(rating_count) over(),0) as 'avg_rating_count' from restaurants;
+
+-- 3. Create new column containing average cost of restaurants throught the dataset
+select *,  round(avg(cost) over(),0) as 'avg_cost' from restaurants;
+
+-- 4. Create column containing average, min, max of cost,rating,rating_count of restaurants throught the dataset
+select id, name, city, cuisine, rating,
+	round(max(rating) over(), 2) as 'max_rating',
+    round(avg(rating) over(), 2) as 'avg_rating',
+    round(min(rating) over(), 2) as 'min_rating',
+    
+    round(max(cost) over(), 2) as 'max_cost',
+    round(avg(cost) over(), 2) as 'avg_cost',
+    round(min(cost) over(), 2) as 'min_cost'
+    
+from restaurants;
+
+-- 5. Create column containing average cost of the city where that specific restaurant is from
+select *, round(avg(cost) over( partition by city) ) as 'avg_cost' from restaurants;
+
+-- 6. Create column containing average cost of the cuisine which that specific restaurant is serving
+select *, round(avg(cost) over( partition by cuisine) ) as 'avg_cost' from restaurants;
+
+-- 7. Create both column together
+select *, 
+	round(avg(cost) over( partition by city) ) as 'avg_cost_city',
+    round(avg(cost) over( partition by cuisine) ) as 'avg_cost_cuisine'
+from restaurants;
+
+-- 8. List the restaurants whose cost is more than the average cost of the restaurants?
+select * from restaurants where cost > (select avg(cost) from restaurants);
+select * from (select *, avg(cost) over() as 'avg_cost' from restaurants) t where t.cost > t.avg_cost; 
+
+
+-- 10. List the restaurants whose cuisine cost is more than the average cost?
+select * from (select *, avg(cost) over(partition by cuisine) as 'avg_cost' from restaurants) t where t.cost > t.avg_cost;