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10 changes: 9 additions & 1 deletion 02_activities/assignments/DC_Cohort/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -209,5 +209,13 @@ Consider, for example, concepts of fariness, inequality, social structures, marg


```
Your thoughts...
Databases are often considered objective sources of information, but their design can influence how individuals are categorized and represented. Qadri's article illustrates this through Pakistan's national identification database, where assumptions about family structures and marriage can prevent individuals from accessing essential services. This shows how decisions about data collection and organization can reinforce existing inequalities.

In my work in health services research, I use administrative healthcare databases to study healthcare utilization, costs and outcomes. These databases were primarily developed for administrative purposes rather than research. As a result, they capture hospitalizations, physician visits and healthcare costs, but often lack information about patients' experiences and unmet healthcare needs.

For example, patients with fewer healthcare encounters may appear to have lower healthcare needs. However, lower utilization may actually result from financial, geographical or social barriers to accessing care. If we interpret utilization as a measure of need, we risk underestimating the needs of disadvantaged populations.

Similarly, demographic characteristics such as sex, gender and socioeconomic status are often recorded using predefined categories that may not adequately capture differences within populations. This can affect how we identify and measure health inequities.

I think these limitations are particularly important because research findings can inform healthcare policy and resource allocation. Qadri's article highlights that databases are not neutral. As researchers, we need to consider what information is captured, what is missing and how these decisions may influence our findings and potentially reinforce existing inequities.
```
129 changes: 81 additions & 48 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -6,31 +6,30 @@
--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


Expand All @@ -42,10 +41,10 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
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


Expand All @@ -55,21 +54,31 @@ 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


Expand All @@ -78,10 +87,13 @@ 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
INNER JOIN vendor_booth_assignments
ON vendor.vendor_id = vendor_booth_assignments.vendor_id
ORDER BY market_date,
vendor_name
LIMIT 24;
--END QUERY


Expand All @@ -92,10 +104,10 @@ 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


Expand All @@ -105,10 +117,19 @@ 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 customer.customer_id,
customer_first_name,
customer_last_name,
SUM(quantity * cost_per_quantity) AS total_spent
FROM customer
INNER JOIN customer_purchases
ON customer.customer_id = customer_purchases.customer_id
GROUP BY customer.customer_id,
customer_first_name,
customer_last_name
HAVING SUM(quantity * cost_per_quantity) > 2000
ORDER BY customer_last_name,
customer_first_name;
--END QUERY


Expand All @@ -124,10 +145,19 @@ When inserting the new vendor, you need to appropriately align the columns to be
VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10




CREATE TEMP TABLE new_vendor AS
SELECT *
FROM vendor;
INSERT INTO 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


Expand All @@ -138,10 +168,11 @@ 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


Expand All @@ -152,8 +183,10 @@ 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_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
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