completed assignment one

02_activities/assignments/DC_Cohort/Assignment1.md

@@ -210,4 +210,14 @@ Consider, for example, concepts of fariness, inequality, social structures, marg
 
 ```
 Your thoughts...
+One of the value systems that I encounter in my daily life is related to my PhD research, which focuses on cancer treatment. 
+Patient databases typically include basic personal information such as name and date of birth, along with health-related info including diagnosis, symptoms, and treatment protocol. 
+Currently, the main hospitals in downtown Toronto do not have a central system where the patient data is shared, and requires manual updating at each hospital if the patient is transferred or receiving treatments at different locations. 
+While the standalone systems can help address security and privacy concerns, from a database perspective, this system can introduce a lot of inconsistencies. 
+For example, if pathology uses a drop-down list of different markers, this list may not be the same between the hospital databases along with different naming conventions (eg. CD4 vs. CD-4). 
+In certain instances, the patient info may be very different if they went to Hospital 1 for treatment of Disease A, and then separately to Hospital 2 for Disease 2, as there can be no communication between the two treatments and thus no manual updating of the database occurs. 
+It’s important to have the full picture for informing treatment protocols, and inconsistencies in information/databases may affect this decision, especially if the visits are not disclosed by the patient. 
+Additionally, from a data analysis or study perspective, it may be difficult to compare between patient cohorts if the data is not consistent. 
+At a broader scale, this means that hospitals may be excluded from the data analysis or studies if there is not a rigorous recordkeeping/database system, which is more common in less developed areas. 
+Ultimately, this can lead to underrepresentation of these populations when developing treatments. 
 ```

02_activities/assignments/DC_Cohort/assignment1.sql

@@ -7,7 +7,8 @@
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
 
-
+SELECT *
+FROM customer;
 
 
 --END QUERY
@@ -17,7 +18,10 @@
 sorted by customer_last_name, then customer_first_ name. */
 --QUERY 2
 
-
+SELECT *
+FROM customer
+ORDER BY customer_last_name, customer_first_name
+LIMIT 10;
 
 
 --END QUERY
@@ -28,7 +32,10 @@ sorted by customer_last_name, then customer_first_ name. */
 Limit to 25 rows of output. */
 --QUERY 3
 
-
+SELECT *
+FROM customer_purchases
+WHERE product_id in (4, 9)
+LIMIT 25;
 
 
 --END QUERY
@@ -43,7 +50,12 @@ Limit to 25 rows of output.
 */
 --QUERY 4
 
-
+SELECT 
+	*, 
+	quantity * cost_per_quantity AS price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10
+LIMIT 25;
 
 
 --END QUERY
@@ -56,7 +68,15 @@ columns and add a column called prod_qty_type_condensed that displays the word 
 if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */
 --QUERY 5
 
-
+SELECT 
+	product_id, 
+	product_name, 
+	CASE 
+		WHEN product_qty_type = 'unit'
+			THEN 'unit'
+		ELSE 'bulk'
+	END AS prod_qty_type_condensed
+FROM product;
 
 
 --END QUERY
@@ -67,7 +87,20 @@ add a column to the previous query called pepper_flag that outputs a 1 if the pr
 contains the word “pepper” (regardless of capitalization), and otherwise outputs 0. */
 --QUERY 6
 
-
+SELECT 
+	product_id, 
+	product_name, 
+	CASE 
+		WHEN product_qty_type = 'unit'
+			THEN 'unit'
+		ELSE 'bulk'
+	END AS prod_qty_type_condensed,
+	CASE 
+		WHEN product_name LIKE '%pepper%'
+			THEN 1
+		ELSE 0
+	END AS pepper_flag
+FROM product;
 
 
 --END QUERY
@@ -79,6 +112,15 @@ vendor_id field they both have in common, and sorts the result by market_date, t
 Limit to 24 rows of output. */
 --QUERY 7
 
+SELECT 
+	v.vendor_id, 
+	vba.market_date, 
+	v.vendor_name
+FROM vendor as v
+INNER JOIN vendor_booth_assignments as vba
+	ON v.vendor_id = vba.vendor_id
+ORDER BY market_date, vendor_name
+LIMIT 24;
 
 
 
@@ -93,7 +135,9 @@ Limit to 24 rows of output. */
 at the farmer’s market by counting the vendor booth assignments per vendor_id. */
 --QUERY 8
 
-
+SELECT vendor_id, COUNT(vendor_id) AS times_rented
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
 
 
 --END QUERY
@@ -106,7 +150,17 @@ 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. */
 --QUERY 9
 
-
+SELECT 
+	c.customer_id, 
+	c.customer_first_name,
+	c.customer_last_name,
+	SUM(cp.quantity * cp.cost_per_quantity) AS total_spent
+FROM customer AS c
+INNER JOIN customer_purchases AS cp
+	ON c.customer_id = cp.customer_id
+GROUP BY c.customer_id
+HAVING SUM(cp.quantity * cp.cost_per_quantity) > 2000
+ORDER BY c.customer_last_name, c.customer_first_name;
 
 
 --END QUERY
@@ -125,7 +179,12 @@ VALUES(col1,col2,col3,col4,col5)
 */
 --QUERY 10
 
+CREATE TEMP TABLE new_vendor AS 
+	SELECT *
+	FROM vendor AS v;
 
+INSERT INTO new_vendor
+	VALUES(10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
 
 
 --END QUERY
@@ -139,7 +198,12 @@ and year are!
 Limit to 25 rows of output. */
 --QUERY 11
 
-
+SELECT 
+	customer_id, 
+	STRFTIME('%m', market_date) AS month,
+	STRFTIME('%Y', market_date) AS year
+FROM customer_purchases
+LIMIT 25;
 
 
 --END QUERY
@@ -153,7 +217,14 @@ but remember, STRFTIME returns a STRING for your WHERE statement...
 AND be sure you remove the LIMIT from the previous query before aggregating!! */
 --QUERY 12
 
-
+SELECT 
+	customer_id, 
+	SUM(quantity * cost_per_quantity) AS total_spent
+FROM customer_purchases
+WHERE
+	STRFTIME('%m', market_date) = '04' AND 
+	STRFTIME('%Y', market_date) = '2022'
+GROUP BY customer_id;
 
 
 --END QUERY