PROBLEM 3 Moretown 3757 Wines Lane 700 Not rented 4 Owatonna 314 Pritchard Court 500 Rented 5 Grayslake 3234 Cunningham Court 600 Rented 6 Great Neck 1927 Romines Mill Road 900 Not rented Write a query to output the apartments whose prices are greater than the average and are also not rented, sorted by the "Price' column. Recall the AVG keyword. CODE RESULT
PROBLEM 3 Moretown 3757 Wines Lane 700 Not rented 4 Owatonna 314 Pritchard Court 500 Rented 5 Grayslake 3234 Cunningham Court 600 Rented 6 Great Neck 1927 Romines Mill Road 900 Not rented Write a query to output the apartments whose prices are greater than the average and are also not rented, sorted by the "Price' column. Recall the AVG keyword. CODE RESULT
Computer Networking: A Top-Down Approach (7th Edition)
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Chapter1: Computer Networks And The Internet
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Transcribed Image Text:# Apartments
## Problem
You want to rent an apartment and have the following table named **Apartments**:
| id | city | address | price | status |
|----|------------|---------------------|-------|------------|
| 1 | Las Vegas | 732 Hall Street | 1000 | Not rented |
| 2 | Marlboro | 985 Huntz Lane | 800 | Not rented |
| 3 | Moretown | 3757 Wines Lane | 700 | Not rented |
| 4 | Owatonna | 314 Pritchard Court | 500 | Rented |
At the bottom of the table, there is a green button labeled "START SOLVING."
This table lists various apartments including their city, address, price, and rental status. Each apartment is uniquely identified by an ID number.
The current status of rental is indicated in the "status" column, where "Not rented" means the apartment is currently available for rent, and "Rented" means the apartment is already rented out. This table helps potential renters quickly compare different apartments based on their location, price, and availability.

Transcribed Image Text:### Apartments Data Analysis
**Objective:**
Write a SQL query to output the apartments whose prices are greater than the average and are also not rented, sorted by the 'Price' column. Recall the **AVG** keyword to perform the necessary calculation.
**Data Table:**
The table below lists various apartments, including their location details, prices, and rental status.
| ID | City | Address | Price (USD) | Status |
|-----|------------|--------------------------|-------------|------------|
| 3 | Moretown | 3757 Wines Lane | 700 | Not rented |
| 4 | Owatonna | 314 Pritchard Court | 500 | Rented |
| 5 | Grayslake | 3234 Cunningham Court | 600 | Rented |
| 6 | Great Neck | 1927 Romines Mill Road | 900 | Not rented |
**Instructions:**
1. Calculate the average price of all listed apartments.
2. Identify apartments with a price greater than this average.
3. Filter the results to show only apartments that are not rented.
4. Sort the final output by the 'Price' column in ascending order.
**Note:**
- Use the SQL **AVG** aggregate function to calculate the average price.
- Ensure your query accurately filters and sorts according to the given criteria.
**Example Query:**
```sql
SELECT *
FROM Apartments
WHERE Price > (SELECT AVG(Price) FROM Apartments)
AND Status = 'Not rented'
ORDER BY Price ASC;
```
**Learning Goals:**
- Understand the use of aggregate functions in SQL.
- Practice filtering datasets based on specific conditions.
- Gain experience with sorting query results.
Feel free to start your query and solve the problem by using the interface provided. Click the "START SOLVING" button to begin.
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