Complete Assignment 1: Model, SQL queries, ethics response

02_activities/assignments/DC_Cohort/Assignment1.md

@@ -106,6 +106,8 @@ Please do not pick the exact same tables that I have already diagrammed. For exa
 	- <img src="./images/01_farmers_market_conceptual_model.png" width="600">
 - 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)
 
+![Farmers Market Logical Model](./images/Farmers Market Logical Model.PNG)
+
 ***
 
 ## Section 2:
@@ -209,5 +211,68 @@ Consider, for example, concepts of fariness, inequality, social structures, marg
 
 
 ```
-Your thoughts...
+Databases reflect the values and assumptions of the people who build them, 
+
+and those choices have consequences for the people they describe.
+
+The article about Pakistan's national database illustrates this notion by defining 
+
+"family" through a patrilineal structure, as the database excluded women and children 
+
+who did not fit that mold. The database did not allow for an alternative or alternate 
+
+version of family structure. This kind of design is not unique to Pakistan and 
+
+appears in databases I encounter as well.
+
+
+In healthcare, databases that store patient information often reflect narrow assumptions 
+
+about family structure too. Fields for "mother" and "father" leave no room for same-sex 
+
+parents, single parents, or non-traditional caregivers. In paediatric settings, 
+
+the question of who counts as a caregiver has direct implications for who gets included in 
+
+treatment decisions. When a  database cannot represent a child's actual family structure, 
+
+it creates gaps in care.
+
+
+In academic systems, similar issues arise. University databases categorize students by 
+
+enrollment status, citizenship, and program type, but not registered accomodation. 
+
+These categories determine access to funding, housing, and support services. 
+
+Students who fall outside standard categories, such as those requiring addition time to 
+
+compelte course work, face additional barriers if they may not have the opportunity to live
+
+closer to campus given their enrollment status (ie., part-time). Anyone who deviates 
+
+from or needs additional support beyond a typial student template is harder to support.
+
+
+In research, databases embed assumptions about who counts as a healthy control versus 
+
+a patient, what symptoms are worth measuring to find desired insights, and which populations 
+
+are worth or valuable to be studying given desired outcomes.These choices shape what gets discovered. 
+
+If a database is built around a narrow demographic, the findings derived from it will only reflect 
+
+that small sub popualtion, and be less generalizable to other populations. Databases therefore 
+
+guide what is normal to be studied given access of information, and this might not impact other 
+
+people who have more complex data collection features, impacting, in the end, what is studied.
+
+
+Overall, when designing or working with data systems, I think it is worth asking who is already 
+
+in the database and who it was built to represent and who the database is leaving out to assess
+
+how inclusive and generalizable the database itself is.
+
 ```

02_activities/assignments/DC_Cohort/assignment1.sql

@@ -6,31 +6,29 @@
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
-
-
-
-
+SELECT *
+FROM customer;
 --END QUERY
 
 
 /* 2. Write a query that displays all of the columns and 10 rows from the customer table, 
 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
 
 
 --WHERE
 /* 1. Write a query that returns all customer purchases of product IDs 4 and 9. 
 Limit to 25 rows of output. */
 --QUERY 3
-
-
-
-
+SELECT *
+FROM customer_purchases
+WHERE product_id IN (4, 9)
+LIMIT 25;
 --END QUERY
 
 
@@ -42,10 +40,11 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 Limit to 25 rows of output.
 */
 --QUERY 4
-
-
-
-
+SELECT *,
+    quantity * cost_to_customer_per_qty AS price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10
+LIMIT 25;
 --END QUERY
 
 
@@ -55,21 +54,33 @@ Using the product table, write a query that outputs the product_id and product_n
 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.” */
 --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
 
 
 /* 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. */
 --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 LOWER(product_name) LIKE '%pepper%' THEN 1
+        ELSE 0
+    END AS pepper_flag
+FROM product;
 --END QUERY
 
 
@@ -78,10 +89,12 @@ contains the word “pepper” (regardless of capitalization), and otherwise out
 vendor_id field they both have in common, and sorts the result by market_date, then vendor_name.
 Limit to 24 rows of output. */
 --QUERY 7
-
-
-
-
+SELECT *
+FROM vendor AS v
+INNER JOIN vendor_booth_assignments AS vba
+    ON v.vendor_id = vba.vendor_id
+ORDER BY vba.market_date, v.vendor_name
+LIMIT 24;
 --END QUERY
 
 
@@ -92,10 +105,10 @@ Limit to 24 rows of output. */
 /* 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. */
 --QUERY 8
-
-
-
-
+SELECT vendor_id,
+    COUNT(*) AS booth_rentals
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
 --END QUERY
 
 
@@ -105,10 +118,16 @@ 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_first_name,
+    c.customer_last_name,
+    SUM(cp.quantity * cp.cost_to_customer_per_qty) 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, c.customer_last_name, c.customer_first_name
+HAVING total_spent > 2000
+ORDER BY c.customer_last_name, c.customer_first_name;
 --END QUERY
 
 
@@ -124,10 +143,11 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 --QUERY 10
+CREATE TEMPORARY TABLE temp.new_vendor AS
+SELECT * FROM vendor;
 
-
-
-
+INSERT INTO temp.new_vendor
+VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
 --END QUERY
 
 
@@ -138,10 +158,12 @@ HINT: you might need to search for strfrtime modifers sqlite on the web to know
 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
 
 
@@ -152,8 +174,11 @@ HINTS: you will need to AGGREGATE, GROUP BY, and filter...
 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_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;
 --END QUERY