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finished postgressql queries part #29

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finished postgressql queries part
Shawn2776 Mar 11, 2021
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Update README.md
Shawn2776 Mar 11, 2021
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91 changes: 59 additions & 32 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM customers
WHERE LOWER(city) = 'london'
```

* [ ] ***find all customers with postal code 1010. Returns 3 customers***
Expand All @@ -48,7 +50,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM customers
WHERE postal_code = '1010'
```

* [ ] ***find the phone number for the supplier with the id 11. Should be (010) 9984510***
Expand All @@ -59,7 +63,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM suppliers
WHERE supplier_id = '11'
```

* [ ] ***list orders descending by the order date. The order with date 1998-05-06 should be at the top***
Expand All @@ -70,7 +76,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM orders
ORDER BY order_date DESC
```

* [ ] ***find all suppliers who have names longer than 20 characters. Returns 11 records***
Expand All @@ -82,7 +90,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM suppliers
WHERE LENGTH(company_name) > 20
```

* [ ] ***find all customers that include the word 'MARKET' in the contact title. Should return 19 records***
Expand All @@ -95,7 +105,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT *
FROM customers
WHERE LOWER(contact_title) LIKE ('%market%')
```

* [ ] ***add a customer record for***
Expand All @@ -112,7 +124,8 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

INSERT INTO customers(customer_id, company_name, contact_name, address, city, postal_code, country)
VALUES('SHIRE', 'The Shire', 'Bilbo Baggins', '1 Hobbit-Hole', 'Bag End', '111', 'Middle Earth')
```

* [ ] ***update _Bilbo Baggins_ record so that the postal code changes to _"11122"_***
Expand All @@ -123,7 +136,9 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

UPDATE customers
SET postal_code = '11122'
WHERE company_name = 'The Shire'
```

* [ ] ***list orders grouped and ordered by customer company name showing the number of orders per customer company name. _Rattlesnake Canyon Grocery_ should have 18 orders***
Expand All @@ -135,7 +150,11 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT COUNT(*) number_of_orders, c.company_name
FROM orders o JOIN customers c
ON c.customer_id = o.customer_id
GROUP BY c.company_name
ORDER BY c.company_name
```

* [ ] ***list customers by contact name and the number of orders per contact name. Sort the list by the number of orders in descending order. _Jose Pavarotti_ should be at the top with 31 orders followed by _Roland Mendal_ with 30 orders. Last should be _Francisco Chang_ with 1 order***
Expand All @@ -146,7 +165,11 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT c.contact_name, COUNT(*) number_of_orders
FROM orders o JOIN customers c
ON c.customer_id = o.customer_id
GROUP BY c.contact_name
ORDER BY number_of_orders DESC
```

* [ ] ***list orders grouped by customer's city showing the number of orders per city. Returns 69 Records with _Aachen_ showing 6 orders and _Albuquerque_ showing 18 orders***
Expand All @@ -157,7 +180,11 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT c.city, COUNT(*) number_of_orders
FROM orders o JOIN customers c
ON c.customer_id = o.customer_id
GROUP BY c.city
ORDER BY c.city
```

## Data Normalization
Expand All @@ -177,39 +204,39 @@ Below are some empty tables to be used to normalize the database
* Not all of the cells will contain data in the final solution
* Feel free to edit these tables as necessary

Table Name:
Table Name: Person_Table

| | | | | | | | | |
| Person_ID | Person_Name| Total_Pets | Fenced_Yard|City_Dweller| | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| 1 | Jane | 3 | No | Ye | | | | |
| 2 | Bob | 1 | No | No | | | | |
| 3 | Sam | 3 | Yes | No | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |

Table Name:
Table Name: Pet_Table

| | | | | | | | | |
| Pet_ID | Pet_Name | Pet_Type | | | | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| 1 | Ellie | 1 | | | | | | |
| 2 | Joe | 2 | | | | | | |
| 3 | Ginger | 1 | | | | | | |
| 4 | Tiger | 3 | | | | | | |
| 5 | Miss Kitty | 3 | | | | | | |
| 6 | Toby | 4 | | | | | | |
| | Bubble | 5 | | | | | | |

Table Name:
Table Name:

| | | | | | | | | |
| Species_ID |Species_Name| | | | | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| 1 | Dog | | | | | | | |
| 2 | Horse | | | | | | | |
| 3 | Cat | | | | | | | |
| 4 | Turtle | | | | | | | |
| 5 | Fish | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |

Expand Down