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8 changes: 7 additions & 1 deletion 02_activities/assignments/DC_Cohort/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -209,5 +209,11 @@ Consider, for example, concepts of fariness, inequality, social structures, marg


```
Your thoughts...
Beyond serving as tools for data storage and analysis, Qadri’s article illustrates how databases and data systems can implicitly reinforce social norms, power hierarchies, and institutional definitions of identity, family, and belonging. As a nurse clinician studying how healthcare quality is improved through the establishment of learning health systems, where organizations create structures that facilitate learning from quality improvement efforts, I encounter these issues in countless ways.

I interact with databases through healthcare and patient portals, quality reporting systems (including patient experience and outcomes), and educational/learning platforms. These systems often emphasize standardization, consistency, and efficiency. Too often these databases are designed to prioritize intuitiveness and simplicity in order to expedite the implementation and evaluation of change interventions. As a result, people are forced into fixed categories such as male or female, single or married, parent or guardian. While these categories make systems easier to manage, they also reveal assumptions about identity, family, and social life. When people’s lived experience does not fit these options, important parts of their reality can be ignored or erased.

This raises important concerns about fairness and inequality. A database may appear objective, but its structure can reinforce existing social norms and power imbalances. People whose lives fit dominant expectations move through systems more easily, while others may be treated as exceptions or problems. Those already marginalized by gender, race, disability, poverty, language, or immigration status are especially vulnerable when data systems fail to represent them accurately. In this way, technology can perpetuate health inequities.

I see this as especially important in learning health systems and quality improvement in healthcare. Both rely on data to inform decisions, identify patterns, and improve patient outcomes. However, when the underlying systems capture only narrow definitions of identity, family, or social and care support, the knowledge they generate becomes limited. In this way, quality improvement can become efficient without becoming equitable. For me, the ethical lesson is that databases should support not only quality improvement, but also human dignity. In this sense, learning health systems must be designed to advance care that is not only efficient and evidence-informed, but also equitable, inclusive, and attentive to the complexity of patients’ lives.
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97 changes: 87 additions & 10 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,8 @@
--SELECT
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1

SELECT *
FROM customer;



Expand All @@ -16,7 +17,10 @@
/* 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;



Expand All @@ -27,7 +31,10 @@ sorted by customer_last_name, then customer_first_ name. */
/* 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;



Expand All @@ -42,7 +49,11 @@ 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;



Expand All @@ -55,7 +66,12 @@ 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;



Expand All @@ -66,8 +82,18 @@ if the product_qty_type is “unit,” and otherwise displays the word “bulk.
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
Expand All @@ -78,7 +104,14 @@ 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
v.*,
vba.*
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;



Expand All @@ -92,7 +125,11 @@ 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_rental_count
FROM vendor_booth_assignments
GROUP BY vendor_id;



Expand All @@ -105,7 +142,20 @@ 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_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 SUM(cp.quantity * cp.cost_to_customer_per_qty) > 2000
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Instead of recalculating, you can directly use total_spent > 2000

ORDER BY c.customer_last_name, c.customer_first_name;



Expand All @@ -125,10 +175,37 @@ VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10

CREATE TEMP TABLE new_vendor AS
SELECT *
FROM vendor;

INSERT INTO temp.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'
);



--END QUERY
-- checking to see if temp table worked

SELECT *
FROM temp.new_vendor;

--worked the first time, but the second time around I get an error "Execution finished with errors. Result: table new_vendor already exists"



-- Date
Expand Down