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Oscar lopez #18

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c20b447
finished the PostgreSQL, now working on normalizing data
Oscar-Lopez-Projects Aug 6, 2020
3554d27
mvp
Oscar-Lopez-Projects Aug 6, 2020
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115 changes: 70 additions & 45 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -29,51 +29,60 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same

### Answer the following data queries. Keep track of the SQL you write by pasting it into this document under its appropriate header below in the provided SQL code block. You will be submitting that through the regular fork, change, pull process

* [ ] ***find all customers that live in London. Returns 6 records***
* [x] ***find all customers that live in London. Returns 6 records***

<details><summary>hint</summary>

* This can be done with SELECT and WHERE clauses
</details>

```SQL

SELECT city, contact_name, address, contact_title
FROM customers
WHERE city = 'London'
```

* [ ] ***find all customers with postal code 1010. Returns 3 customers***
* [x] ***find all customers with postal code 1010. Returns 3 customers***

<details><summary>hint</summary>

* This can be done with SELECT and WHERE clauses
</details>

```SQL
SELECT city, contact_name, address, contact_title, postal_code
FROM customers
WHERE postal_code = '1010'

```

* [ ] ***find the phone number for the supplier with the id 11. Should be (010) 9984510***
* [x] ***find the phone number for the supplier with the id 11. Should be (010) 9984510***

<details><summary>hint</summary>

* This can be done with SELECT and WHERE clauses
</details>

```SQL

SELECT supplier_id, company_name, contact_name, phone, country
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***
* [x] ***list orders descending by the order date. The order with date 1998-05-06 should be at the top***

<details><summary>hint</summary>

* This can be done with SELECT, WHERE, and ORDER BY clauses
</details>

```SQL

SELECT order_id, customer_id, order_date
FROM orders
ORDER BY order_id DESC
```

* [ ] ***find all suppliers who have names longer than 20 characters. Returns 11 records***
* [ x ***find all suppliers who have names longer than 20 characters. Returns 11 records***

<details><summary>hint</summary>

Expand All @@ -82,10 +91,12 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

SELECT supplier_id, company_name, contact_name
FROM suppliers
WHERE length(company_name)> 20
```

* [ ] ***find all customers that include the word 'MARKET' in the contact title. Should return 19 records***
* [x] ***find all customers that include the word 'MARKET' in the contact title. Should return 19 records***

<details><summary>hint</summary>

Expand All @@ -95,10 +106,13 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL
SELECT contact_title
FROM customers
WHERE upper(contact_title) LIKE '%MARKET%'

```

* [ ] ***add a customer record for***
* [x] ***add a customer record for***
* customer id is 'SHIRE'
* company name is 'The Shire'
* contact name is 'Bilbo Baggins'
Expand All @@ -112,21 +126,24 @@ 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"_***
* [x] ***update _Bilbo Baggins_ record so that the postal code changes to _"11122"_***

<details><summary>hint</summary>

* This can be done with UPDATE and WHERE clauses
</details>

```SQL

UPDATE CUSTOMERS
SET POSTAL_CODE = '11122'
WHERE POSTAL_CODE = '111'
```

* [ ] ***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***
* [x] ***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***

<details><summary>hint</summary>

Expand All @@ -135,29 +152,37 @@ Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same
</details>

```SQL

Select count(o.customer_id), c.company_name
From orders o JOIN customers c on o.customer_id = c.customer_id
Group 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***
* [x] ***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***

<details><summary>hint</summary>

* This can be done by adding an ORDER BY clause to the previous answer and changing the group by field
</details>

```SQL

Select count (o.customer_id), c.contact_name
From orders o JOIN customers c on o.customer_id = c.customer_id
Group by c.contact_name
Order by count (o.customer_id) 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***
* [x] ***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***

<details><summary>hint</summary>

* This is very similar to the previous two queries, however, it focuses on the City rather than the Customer Names
</details>

```SQL

Select count(o.customer_id), c.city
From orders o JOIN customers c on o.customer_id = c.customer_id
Group By c.city
Order By count (o.customer_id)
```

## Data Normalization
Expand All @@ -177,41 +202,41 @@ 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 data

| | | | | | | | | |
| person_id | person_name|city_dweller|fenced_yard | | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| 1 |jane | yes | no | | | | |
| 2 |bob | no | no | | | | |
| 3 |sam | no | yes | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |

Table Name:
Table Name: Pets data

| | | | | | | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| pet_id | pet_name | type | person_id | | | | | |
|------------ |----------------|------------ |------------ |------------|------------|------------|------------|------------|
| 1 | ellie | DOG | 1 | | | | | |
| 2 | joe | HORSE | 2 | | | | | |
| 3 | ginger | DOG | 3 | | | | | |
| 4 | tiger | CAT | 1 | | | | | |
| 5 | miss kitty | CAT | 3 | | | | | |
| 6 | toby | TURTLE | 1 | | | | | |
| 7 | bubble | FISH | 3 | | | | | |

Table Name:
Table Name: type of pet data

| | | | | | | | | |
|------------|------------|------------|------------|------------|------------|------------|------------|------------|
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| pet_id | species | | | | | | | |
|-------------|------------|------------|------------|------------|------------|------------|------------|------------|
| 1 | | | | | | | | |
| 2 | | | | | | | | |
| 3 | | | | | | | | |
| 4 | | | | | | | | |
| 5 | | | | | | | | |
| 6 | | | | | | | | |
| | | | | | | | | |

Table Name:

Expand Down