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16 changes: 14 additions & 2 deletions 02_activities/assignments/DC_Cohort/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -206,8 +206,20 @@ Link if you encounter a paywall: https://archive.is/srKHV or https://web.archive
**What values systems are embedded in databases and data systems you encounter in your day-to-day life?**

Consider, for example, concepts of fariness, inequality, social structures, marginalization, intersection of technology and society, etc.


```
Your thoughts...
```
China's national ID (身份证 shenfenzheng) and household registration (户口 hukou). Similar to what I have read about the database of Pakistan, I think these systems reflect certain heteronormative assumptions about gender and family structures.

First, the official gender classification recorded on Chinese national IDs is binary — either male or female. This excludes people who identify as non-binary, as there is no option that accurately represents their gender identity.
Consequently, non-binary individuals may feel marginalized or invisible within the legal system, since their identities cannot be adequately represented in official records.
What I find particularly interesting is that this binary classification is treated as a seemingly natural and objective way of categorizing people, even though it reflects particular social understandings of gender.

Meanwhile, because same-sex marriage is not legally recognized in mainland China, same-sex couples cannot register as married partners. This can create significant difficulties when dealing with legal and administrative matters.
For instance, if one partner experiences a medical emergency and cannot make decisions independently, the other partner is not automatically recognized as their legal spouse or next of kin.
Same-sex couples do not automatically receive the same legal recognition as married heterosexual couples.

Furthermore, even if same-sex partners raise children together, both partners may not be legally recognized as the children's parents in the household registration system.
In particular, a non-biological parent may face difficulties establishing a legally recognized parental relationship, despite having actively participated in raising the child.
This can create complications in matters involving guardianship, inheritance, and other parental responsibilities involved in schooling and children's education.

102 changes: 66 additions & 36 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
--SELECT
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1

SELECT * FROM customer ;



Expand All @@ -17,19 +17,21 @@
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 = 4 OR product_id = 9
LIMIT 25;

--END QUERY

Expand All @@ -42,10 +44,10 @@ 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 @@ -55,9 +57,12 @@ 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;

--END QUERY

Expand All @@ -67,8 +72,16 @@ add a column to the previous query called pepper_flag that outputs a 1 if the pr
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 product_name LIKE '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product;

--END QUERY

Expand All @@ -78,9 +91,12 @@ 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 market_date, vendor_name
LIMIT 24;

--END QUERY

Expand All @@ -92,9 +108,10 @@ 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,
SUM (booth_number) AS vendor_renting_times
FROM vendor_booth_assignments
GROUP BY vendor_id;

--END QUERY

Expand All @@ -106,8 +123,13 @@ 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 cp.customer_id, cp.quantity, cp.cost_per_quantity, c.customer_id, c.customer_first_name, c.customer_last_name,
SUM(cp.quantity * cp.cost_per_quantity) AS total_purchase
FROM customer_purchases AS cp
INNER JOIN customer AS c
ON cp.customer_id = c.customer_id
GROUP BY c.customer_id
HAVING total_purchase > 2000;

--END QUERY

Expand All @@ -124,24 +146,27 @@ 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


-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.

HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month
HINT: you might need to search for strfrtime modifiers sqlite on the web to know what the modifiers for month
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;
--END QUERY


Expand All @@ -152,8 +177,13 @@ 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




--END QUERY
SELECT customer_id,
quantity,
cost_per_quantity,
STRFTIME('%m', market_date) AS month,
STRFTIME('%Y', market_date) AS year,
SUM(quantity * cost_per_quantity) AS total_purchase
FROM customer_purchases
WHERE month = '04' AND year = '2022'
GROUP BY customer_id, year, month;
--END QUERY
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