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49 changes: 48 additions & 1 deletion 02_activities/assignments/Assignment2.md
Original file line number Diff line number Diff line change
Expand Up @@ -45,16 +45,63 @@ There are several tools online you can use, I'd recommend [Draw.io](https://www.

**HINT:** You do not need to create any data for this prompt. This is a conceptual model only.

ANSWER:
For this prompt, I designed an Entity-Relationship Diagram (ERD) that includes the following entities:
• Employee
• Customer
• Orders
• Sales
• Books
• OrderDetails
• Date

Each table includes essential attributes and primary/foreign keys to establish relationships:
• Books to Orders: Many-to-Many
• Customer to Orders: One-to-Many
• Employees to Orders: One-to-Many
• Sales to Orders: One-to-Many
• Date to Orders: One-to-Many

📎 See ERD: Prompt#1.png


#### Prompt 2
We want to create employee shifts, splitting up the day into morning and evening. Add this to the ERD.

ANSWER:
To model employee shifts, I added a new table called Shifts, which includes:
• ShiftID (Primary Key)
• EmployeeID (Foreign Key)
• DateID (Foreign Key)
• ShiftType (Morning or Evening)
• StartTime, EndTime

This links to both the Employee and Date tables, showing when and which shift was assigned.

📎 See updated ERD with Shifts: Prompt#2.png


#### Prompt 3
The store wants to keep customer addresses. Propose two architectures for the CUSTOMER_ADDRESS table, one that will retain changes, and another that will overwrite. Which is type 1, which is type 2?

**HINT:** search type 1 vs type 2 slowly changing dimensions.

```
Your answer...
Type 1 – Overwrites Old Address
• This model keeps only the most recent address by updating the same row.
• Pros: Simple, minimal storage
• Cons: Historical address info is lost

📎 See ERD: Prompt#3.Type1.png

Type 2 – Retains Address History
• This model retains old addresses and uses an EffectiveDate (and optionally EndDate or IsActive) to track changes over time.
• Pros: Keeps history, useful for analytics
• Cons: Slightly more complex to manage

📎 See ERD: Prompt3-Type2.png


```

***
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94 changes: 78 additions & 16 deletions 02_activities/assignments/assignment1.sql
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Expand Up @@ -4,53 +4,87 @@

--SELECT
/* 1. Write a query that returns everything in the customer table. */
SELECT * FROM customer;



/* 2. Write a query that displays all of the columns and 10 rows from the cus- tomer table,
sorted by customer_last_name, then customer_first_ name. */

SELECT *
FROM customer
ORDER BY customer_last_name, customer_first_name
LIMIT 10;


--WHERE
/* 1. Write a query that returns all customer purchases of product IDs 4 and 9. */
-- option 1


-- option 2
-- option 1: Using IN
SELECT *
FROM customer_purchases
WHERE product_id IN (4, 9);

-- option 2: Using OR
SELECT *
FROM customer_purchases
WHERE product_id = 4 OR product_id = 9;


/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
filtered by vendor IDs between 8 and 10 (inclusive) using either:
1. two conditions using AND
2. one condition using BETWEEN
*/
-- option 1
-- option : using AND
SELECT *,
quantity * cost_to_customer_per_qty AS price
FROM customer_purchases
WHERE vendor_id >= 8 AND vendor_id <= 10;


-- option 2
-- option 2: using BETWEEN
SELECT *,
quantity * cost_to_customer_per_qty AS price
FROM customer_purchases
WHERE vendor_id BETWEEN 8 AND 10;



--CASE
--CASE: Condense quantity type
/* 1. Products can be sold by the individual unit or by bulk measures like lbs. or oz.
Using the product table, write a query that outputs the product_id and product_name
columns and add a column called prod_qty_type_condensed that displays the word “unit”
if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */
SELECT product_id, product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed
FROM product;



/* 2. We want to flag all of the different types of pepper products that are sold at the market.
add a column to the previous query called pepper_flag that outputs a 1 if the product_name
contains the word “pepper” (regardless of capitalization), and otherwise outputs 0. */

contains the word “pepper” (regardless of capitalization), and otherwise outputs 0. :Add pepper flag */
SELECT product_id, product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed,
CASE
WHEN LOWER(product_name) LIKE '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product;


--JOIN
/* 1. Write a query that INNER JOINs the vendor table to the vendor_booth_assignments table on the
vendor_id field they both have in common, and sorts the result by vendor_name, then market_date. */

SELECT *
FROM vendor v
INNER JOIN vendor_booth_assignments vba
ON v.vendor_id = vba.vendor_id
ORDER BY v.vendor_name, vba.market_date;



Expand All @@ -59,15 +93,26 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
-- AGGREGATE
/* 1. Write a query that determines how many times each vendor has rented a booth
at the farmer’s market by counting the vendor booth assignments per vendor_id. */

SELECT vendor_id, COUNT(*) AS booth_rentals
FROM vendor_booth_assignments
GROUP BY vendor_id;


/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper
sticker to everyone who has ever spent more than $2000 at the market. Write a query that generates a list
of customers for them to give stickers to, sorted by last name, then first name.

HINT: This query requires you to join two tables, use an aggregate function, and use the HAVING keyword. */

HINT: This query requires you to join two tables, use an aggregate function, and use the HAVING keyword. : Customers who spent more than $2000
SELECT c.customer_id,*/
SELECT c.customer_id,
c.customer_first_name,
c.customer_last_name,
SUM(cp.quantity * cp.cost_to_customer_per_qty) AS total_spent
FROM customer c
JOIN customer_purchases cp ON c.customer_id = cp.customer_id
GROUP BY c.customer_id
HAVING total_spent > 2000
ORDER BY c.customer_last_name, c.customer_first_name;


--Temp Table
Expand All @@ -81,14 +126,25 @@ When inserting the new vendor, you need to appropriately align the columns to be
-> To insert the new row use VALUES, specifying the value you want for each column:
VALUES(col1,col2,col3,col4,col5)
*/
-- 1. Create temp table from vendor
CREATE TEMP TABLE new_vendor AS
SELECT * FROM vendor;

-- 2. Add 10th vendor
INSERT INTO new_vendor
VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas Rosenthal', NULL);


-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.

HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month
and year are! */
-- 1. Get customer_id, month, and year of each purchase
SELECT customer_id,
STRFTIME('%m', market_date) AS month,
STRFTIME('%Y', market_date) AS year
FROM customer_purchases;



Expand All @@ -97,4 +153,10 @@ Remember that money spent is quantity*cost_to_customer_per_qty.

HINTS: you will need to AGGREGATE, GROUP BY, and filter...
but remember, STRFTIME returns a STRING for your WHERE statement!! */

-- 2. Total money spent in April 2022
SELECT customer_id,
SUM(quantity * cost_to_customer_per_qty) AS april_2022_spent
FROM customer_purchases
WHERE STRFTIME('%m', market_date) = '04'
AND STRFTIME('%Y', market_date) = '2022'
GROUP BY customer_id;
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