MariaDSoto · MariaDSoto · Nov 6, 2025 · Nov 15, 2025 · Nov 16, 2025
diff --git a/02_activities/assignments/DC_Cohort/Assignment1.html b/02_activities/assignments/DC_Cohort/Assignment1.html
diff --git a/02_activities/assignments/DC_Cohort/Assignment2.html b/02_activities/assignments/DC_Cohort/Assignment2.html
diff --git a/02_activities/assignments/DC_Cohort/Assignment2.md b/02_activities/assignments/DC_Cohort/Assignment2.md
@@ -14,10 +14,10 @@
     * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.
 
 Checklist:
-- [ ] Create a branch called `assignment-two`.
-- [ ] Ensure that the repository is public.
-- [ ] Review [the PR description guidelines](https://github.com/UofT-DSI/onboarding/blob/main/onboarding_documents/submissions.md#guidelines-for-pull-request-descriptions) and adhere to them.
-- [ ] Verify that the link is accessible in a private browser window.
+- [X] Create a branch called `assignment-two`.
+- [X] Ensure that the repository is public.
+- [X] Review [the PR description guidelines](https://github.com/UofT-DSI/onboarding/blob/main/onboarding_documents/submissions.md#guidelines-for-pull-request-descriptions) and adhere to them.
+- [X] Verify that the link is accessible in a private browser window.
 
 If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges.
 
@@ -54,7 +54,9 @@ 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...
+My understanding is that Slowly Changing Dimensions is the use of two tables that track basically teh same information but one keeps the records (Type 2) while
+the other one receives the updated copy (Type 1). This way we are able to keep track of the customer's previous addreses in this case, rather than losing it that data
+every tiem there is a change. 
 ```
 
 ***
@@ -183,5 +185,15 @@ Consider, for example, concepts of labour, bias, LLM proliferation, moderating c
 
 
 ```
-Your thoughts...
+There were a lot of interesting concepts that came to mind as I read the article. There were severa ethical issues. Even though, it was helpful and efficient to use mechanical Amazon Turk
+to classify those images, it was a moment where the effect globalization on labour and renumeration was evident. The people working on Amazon Turk are likely from low income countries, and
+are being paid very little to complete the monotomous task. This serves as a clear example of the exploitation of labour. 
+As someone that is currently working on creating my own dataset to try for future machine learning, I have been recently been pondering a lot about the quality of data we use to build these models, it
+worries me that any error would be amplified in the final model. This brings to mind the current issues we face regarding AI art, or any creative work, it has been disheartening to see people's work be stolen,
+and the. disconnect from the public to realize that just because AI can do it, it doesn't make it easier or pointless to do it yourself, or acquire a piece of art from an actual artist. 
+One last thing that came to mind, relates back to moderating the content that goes into models, people can be ruthless and cruel when no one is watching. Toxicity towards humans in already a problem in the internet,
+I'd imagine some people might be much worse when they know they are talking to a bot. This may for one give them the false sense that it is okay to communicate themselves in such a way, and also could influence the sort of
+data available for models to train on.
+Overall, this was a thought-provoking article on the deeply intertwinned relationship between human nature and AI models. Since it is all human, and we are full of ethical concerns LOL, it should be expected that
+an model without morals would generate all these ethical concerns. 
 ```
diff --git a/02_activities/assignments/DC_Cohort/Bookstore_Logical Model-3.png b/02_activities/assignments/DC_Cohort/Bookstore_Logical Model-3.png
diff --git a/02_activities/assignments/DC_Cohort/FarmersMarket_LogicalModel.png b/02_activities/assignments/DC_Cohort/FarmersMarket_LogicalModel.png
diff --git a/02_activities/assignments/DC_Cohort/assignment1.sql b/02_activities/assignments/DC_Cohort/assignment1.sql
@@ -4,16 +4,24 @@
 
 --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 = 4
+OR product_id = 9;
 
 
 
@@ -24,46 +32,77 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 */
 -- 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 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
+INNER JOIN vendor_booth_assignments
+	ON vendor.vendor_id = vendor_booth_assignments.vendor_id
+ORDER BY vendor.vendor_name, vendor_booth_assignments.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(vendor_id) as num_of_rented_booth
+ 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_id,customer_first_name, customer_last_name,
+SUM(quantity*cost_to_customer_per_qty) as total_spend
 
+FROM customer_purchases as cp
+INNER JOIN customer as c
+	ON cp.customer_id = c.customer_id
+
+GROUP BY c.customer_id
+HAVING total_spend > 3000
+ORDER BY customer_last_name, customer_first_name;
 
 
 --Temp Table
@@ -78,6 +117,12 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 
+CREATE TABLE temp.new_vendor AS
+SELECT *
+FROM vendor;
+
+ INSERT INTO temp.new_vendor
+ VALUES ('10', 'Thomass Superfood Store', 'Fresh Focused store' , 'Thomas', 'Rosenthal');
 
 
 -- Date
@@ -86,11 +131,43 @@ VALUES(col1,col2,col3,col4,col5)
 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,
+market_date,
+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;
+
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