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


```
Your thoughts...
One of the systems I interacted with most was OSAP and university applications. These databases often assume two parents, a stable home address, and a traditional family structure. As someone who grew up in a single-parent household where my parent was unable to provide financial support for university, I never quite fit into the categories these forms were built around. When filling out OSAP, I was repeatedly asked whether I was a dependent of my parent. Technically, by the system's definition, I was, but that classification didn't reflect my actual situation. The form had no good way to capture the nuance of being legally dependent on a parent who couldn't contribute financially. It felt like the system was designed with a middle-class nuclear family in mind, and anyone outside that structure was left to navigate confusing workarounds. In my mind this connects to what Qadri describes in the Pakistan database case. When a system forces people into rigid categories, those who don't fit are either erased or burdened with proving their circumstances. OSAP isn't as extreme as that, but the underlying issue feels the same: the values embedded in the database reflect one version of "normal" family life, and that version doesn't represent everyone. For me, the practical consequence was constant uncertainty about whether I was filling out the form correctly, and anxiety that I might be penalized for a situation the system simply wasn't built to handle.
```
103 changes: 75 additions & 28 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -6,19 +6,19 @@
--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

Expand All @@ -27,9 +27,10 @@ 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;

--END QUERY

Expand All @@ -42,9 +43,11 @@ 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

Expand All @@ -55,7 +58,14 @@ 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 @@ -66,10 +76,18 @@ 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 @@ -78,8 +96,12 @@ 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
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 @@ -92,9 +114,11 @@ 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_count
FROM vendor_booth_assignments
GROUP BY vendor_id;

--END QUERY

Expand All @@ -105,9 +129,16 @@ 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 c
INNER JOIN customer_purchases 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

Expand All @@ -124,8 +155,13 @@ 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
(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 @@ -138,7 +174,12 @@ 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;



Expand All @@ -152,7 +193,13 @@ 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;



Expand Down
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