My assignments (1 and 2) including both SQL files, both MD files, and…

02_activities/assignments/DC_Cohort/Assignment1.md

@@ -204,6 +204,18 @@ Link if you encounter a paywall: https://archive.is/srKHV or https://web.archive
 Consider, for example, concepts of fariness, inequality, social structures, marginalization, intersection of technology and society, etc.
 
 
+
 ```
 Your thoughts...
+
+The importance of data systems encountered in daily life is often overlooked, yet they inherently embed value systems reflecting social, economic, and political climates. As a researcher in drug design and pharmaceuticals, clinical trial databases show how this embedding of values influences how drugs are designed, tested, and approved.
+
+Clinical trial databases focus on standardization, which shapes the concept of the 'ideal' patient. The 'ideal' patient is often thought of as young, male, and from majority ethnic groups, while excluding those with complex health conditions. This reflects a value system favoring simplicity and control over the outliers of real-world biological diversity. Fixed categories, such as binary sex or broad racial classifications, simplify complex identities but complicate individual variations essential to personalized medicine.
+
+Economic advantages govern which diseases and populations receive focus, often privileging those with financial viability while underrepresenting rare diseases and marginalized communities. Additionally, risk management values lead to excluding participants who could complicate data clarity, potentially reducing the applicability of trial outcomes to broader patient groups.
+
+Moreover, clinical trial data systems define 'meaningful' evidence primarily through quantifiable endpoints like biomarker levels, while not valuing subjective patient experiences. These design choices reflect broader data systems that prioritize efficiency, standardization, and legibility, potentially marginalizing those who don't fit dominant norms.
+
+Overall, clinical trial databases do not simply record data; they also construct realities, shaping patient inclusion, scientific discoveries, and ultimately, who benefits from medical innovation. Recognizing these embedded value systems is vital for designing more inclusive and ethically responsible data infrastructures that serve all patients equitably. This aligns with the insights from Qadri’s article on the social shaping of databases, emphasizing the importance of acknowledging and addressing the values embedded in our data systems.
+
 ```

02_activities/assignments/DC_Cohort/Assignment2.md

@@ -54,8 +54,33 @@ The store wants to keep customer addresses. Propose two architectures for the CU
 **HINT:** search type 1 vs type 2 slowly changing dimensions. 
 
 ```
-Your answer...
-```
+Type 1 SCD: overwrites existing address data when a customer's address changes and does not store historical records. When a customer relocates, the new address is updated and the old address is permanently lost. 
+
+CUSTOMER_ADDRESS (Type 1):
+- address_id
+- customer_id
+- street_address
+- city
+- province
+- postal_code
+- country
+- last_updated
+
+Type 2 SCD: retains a complete history of address changes by creating new records. 
+
+CUSTOMER_ADDRESS (Type 2):
+- address_id (PK)
+- customer_id (FK)
+- street_address
+- city
+- province
+- postal_code
+- country
+- effective_date
+- end_date
+- current (boolean flag)
+
+When a customer's address changes, the existing record's end_date is filled in and current is set to FALSE. The new address is inputted by having current = TRUE, and end_date = NULL.
 
 ***
 
@@ -183,5 +208,8 @@ Consider, for example, concepts of labour, bias, LLM proliferation, moderating c
 
 
 ```
-Your thoughts...
-```
+An ethical issue is the inherent bias embedded within machine learning systems. Since machine learning models learn from humans, their infratructure is influenced by the assumptions and values of the people who built and labeled that data. These biases can subconsciously guide how we perceive events, identities, and social issues. This can stereotypes, distort reality, and propogate throughout society without the public being cognizant of this affect.
+
+In order to ethically integrate machine learning into society, public education and transparency are critical. People need to learn that the information machine learning models output are not unbiased facts, but instead are perceptions shaped by human interpretations of data and personal opinions. As a society, we cannot become fully dependent on these systems or assume they are always correct. Instead, we must actively verify, question, and synthesize the information they output.
+
+As a result, we need to work in partnership with machine learning tools versus surrendering our judgment to them. Retaining our autonomy to research, explain, and strategize independently of machine learning models ensures that we are working in harmony with these tools versus being replaced by them.```

02_activities/assignments/DC_Cohort/assignment1.sql

@@ -1,20 +1,23 @@
 /* ASSIGNMENT 1 */
 /* SECTION 2 */
 
-
 --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. */
-
+SELECT *
+FROM customer_purchases
+WHERE product_id IN (4, 9);
 
 
 /*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), 
@@ -23,48 +26,78 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 	2.  one condition using BETWEEN
 */
 -- option 1
-
+SELECT *,
+       quantity * cost_to_customer_per_qty AS price
+FROM customer_purchases
+WHERE customer_id >= 8 AND customer_id <= 10;
 
 -- option 2
-
-
+SELECT *,
+       quantity * cost_to_customer_per_qty AS price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10;
 
 --CASE
 /* 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. */
-
-
+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 AS v
+INNER JOIN vendor_booth_assignments AS vba
+    ON v.vendor_id = vba.vendor_id
+ORDER BY v.vendor_name, vba.market_date;
 
 /* SECTION 3 */
 
 -- 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_rental_count
+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. */
-
-
+SELECT c.customer_first_name,
+       c.customer_last_name
+FROM customer AS c
+INNER JOIN customer_purchases AS cp
+    ON c.customer_id = cp.customer_id
+GROUP BY c.customer_id, c.customer_first_name, c.customer_last_name
+HAVING SUM(cp.quantity * cp.cost_to_customer_per_qty) > 2000
+ORDER BY c.customer_last_name, c.customer_first_name;
 
 --Temp Table
 /* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor: 
@@ -77,20 +110,31 @@ 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) 
 */
+CREATE TEMP TABLE new_vendor AS
+SELECT * FROM vendor;
 
-
+-- Then, insert the new 10th vendor
+INSERT INTO temp.new_vendor 
+VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
 
 -- 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! */
-
-
+SELECT customer_id,
+       STRFTIME('%m', market_date) AS month,
+       STRFTIME('%Y', market_date) AS year
+FROM customer_purchases;
 
 /* 2. Using the previous query as a base, determine how much money each customer spent in April 2022. 
 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!! */
-
+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) = '2022'
+GROUP BY customer_id;