Homeworks

03_homework/homework_1.md

@@ -76,3 +76,4 @@ Please do not pick the exact same tables that I have already diagramed. For exam
 	-  ![01_farmers_market_conceptual_model.png](./images/01_farmers_market_conceptual_model.png)
 - The column names can be found in a few spots (DB Schema window in the bottom right, the Database Structure tab in the main window by expanding each table entry, at the top of the Browse Data tab in the main window)
 
+![Fredy Rincon's Logical Data Model](image.png)

03_homework/homework_2.md

@@ -21,3 +21,6 @@
 
 # JOIN
 1. Write a query that `INNER JOIN`s 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`.
+
+[Link to Fredy's homework_2.sql](homework_2.sql)
+[Link to Fredy's homework_2.txt](homework_2.txt)

03_homework/homework_2.sql

@@ -0,0 +1,65 @@
+-- SELECT 1: Query to return everything in the customer table:
+
+SELECT * FROM customer;
+
+-- SELECT 2: Query to display all ten columns and ten rows from the customer table, sorted by customer_last_name and then customer_first_name:
+
+SELECT * 
+FROM customer 
+ORDER BY customer_last_name, customer_first_name 
+LIMIT 10;
+
+
+-- WHERE 1: Query to return all customer purchases of product IDs 4 and 9:
+
+SELECT * 
+FROM customer_purchases 
+WHERE product_id IN (4, 9);
+
+
+-- WHERE 2a: Query to return all customer purchases and a new calculated column 'price', filtered by vendor IDs between 8 and 10 using AND:
+
+SELECT *, (quantity * cost_to_customer_per_qty) AS price 
+FROM customer_purchases 
+WHERE vendor_id >= 8 AND vendor_id <= 10;
+
+
+-- WHERE 2b: Query to return all customer purchases and a new calculated column 'price', filtered by vendor IDs between 8 and 10 using BETWEEN:
+
+SELECT *, (quantity * cost_to_customer_per_qty) AS price 
+FROM customer_purchases 
+WHERE vendor_id BETWEEN 8 AND 10;
+
+
+-- CASE 1: Query to output product_id, product_name, and add a column called prod_qty_type_condensed:
+
+SELECT product_id, product_name, 
+CASE 
+    WHEN product_qty_type = 'unit' THEN 'unit' 
+    ELSE 'bulk' 
+END AS prod_qty_type_condensed 
+FROM product;
+
+
+-- CASE 2: Query to add a column called 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: Query to INNER JOIN the vendor table to the vendor_booth_assignments table on the vendor_id field and sort by vendor_name, then market_date:
+
+SELECT *
+FROM vendor
+INNER JOIN vendor_booth_assignments
+ON vendor.vendor_id = vendor_booth_assignments.vendor_id
+ORDER BY vendor.vendor_name, vendor_booth_assignments.market_date;
+

03_homework/homework_2.txt

@@ -0,0 +1,65 @@
+-- SELECT 1: Query to return everything in the customer table:
+
+SELECT * FROM customer;
+
+-- SELECT 2: Query to display all ten columns and ten rows from the customer table, sorted by customer_last_name and then customer_first_name:
+
+SELECT * 
+FROM customer 
+ORDER BY customer_last_name, customer_first_name 
+LIMIT 10;
+
+
+-- WHERE 1: Query to return all customer purchases of product IDs 4 and 9:
+
+SELECT * 
+FROM customer_purchases 
+WHERE product_id IN (4, 9);
+
+
+-- WHERE 2a: Query to return all customer purchases and a new calculated column 'price', filtered by vendor IDs between 8 and 10 using AND:
+
+SELECT *, (quantity * cost_to_customer_per_qty) AS price 
+FROM customer_purchases 
+WHERE vendor_id >= 8 AND vendor_id <= 10;
+
+
+-- WHERE 2b: Query to return all customer purchases and a new calculated column 'price', filtered by vendor IDs between 8 and 10 using BETWEEN:
+
+SELECT *, (quantity * cost_to_customer_per_qty) AS price 
+FROM customer_purchases 
+WHERE vendor_id BETWEEN 8 AND 10;
+
+
+-- CASE 1: Query to output product_id, product_name, and add a column called prod_qty_type_condensed:
+
+SELECT product_id, product_name, 
+CASE 
+    WHEN product_qty_type = 'unit' THEN 'unit' 
+    ELSE 'bulk' 
+END AS prod_qty_type_condensed 
+FROM product;
+
+
+-- CASE 2: Query to add a column called 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: Query to INNER JOIN the vendor table to the vendor_booth_assignments table on the vendor_id field and sort by vendor_name, then market_date:
+
+SELECT *
+FROM vendor
+INNER JOIN vendor_booth_assignments
+ON vendor.vendor_id = vendor_booth_assignments.vendor_id
+ORDER BY vendor.vendor_name, vendor_booth_assignments.market_date;
+

03_homework/homework_3.md

@@ -22,3 +22,5 @@ To insert the new row use VALUES, specifying the value you want for each column:
 2. Using the previous query as a base, determine how much money each customer spent in April 2019. 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!!
 
+[Fredy's SQL Homework_3](homework_3.sql)
+

03_homework/homework_3.sql

@@ -0,0 +1,33 @@
+--Aggregate Query: Counting Vendor Booth Assignments
+SELECT vendor_id, COUNT(*) AS booth_assignment_count
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
+
+--Aggregate Query: Customers Spending More Than $2000
+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, c.customer_first_name, c.customer_last_name
+HAVING total_spent > 2000
+ORDER BY c.customer_last_name, c.customer_first_name;
+
+--Temp Table: Insert New Vendor
+CREATE TEMPORARY TABLE new_vendor AS
+SELECT *
+FROM vendor;
+
+INSERT INTO new_vendor (vendor_id, vendor_name, vendor_type, vendor_owner_first_name, vendor_owner_last_name)
+VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
+
+--Date Query: Extract Month and Year
+SELECT customer_id, strftime('%m', market_date) AS month, strftime('%Y', market_date) AS year
+FROM customer_purchases;
+
+--Date Query: Customer Spending in April 2019
+SELECT customer_id, SUM(quantity * cost_to_customer_per_qty) AS total_spent
+FROM customer_purchases
+WHERE strftime('%m', market_date) = '04' AND strftime('%Y', market_date) = '2019'
+GROUP BY customer_id;
+--FREDY RINCON
+--uoft-dsi-c3-homework_3-20240517
+--uoft-dsi-c3-sql_homework_3-20240517