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7 changes: 6 additions & 1 deletion 02_activities/assignments/DC_Cohort/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -205,5 +205,10 @@ Consider, for example, concepts of fariness, inequality, social structures, marg


```
Your thoughts...
My thoughts on social identity: I suppose databases serve the purpose of binning real-life complexities into distinct categories and binaries, and by virtue of that may not reflect reality.
Something I notice often in different forms (for the eventual purpose of data collection) is racial identity, which can become complicated for
diaspora communities and due to the nature of changing man-made geographical/geopolitical borders.
My thoughts on data use: Often to get different tasks done (medical, government services)
we have to consent to the collection of our data, with general descriptions of their future use, but we do not know for certain what will be enquired from our data/
demographics in the future.
```
8 changes: 8 additions & 0 deletions 02_activities/assignments/DC_Cohort/Assignment2.md
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Expand Up @@ -55,6 +55,9 @@ The store wants to keep customer addresses. Propose two architectures for the CU

```
Your answer...
To overwrite change: slowly changing dimensions type 1 - old address is overwritten
To retain change: slowly changing dimensions type 2 - old address kept as history, so dates as well as a column indicating if adress is current is important

```

***
Expand Down Expand Up @@ -184,4 +187,9 @@ Consider, for example, concepts of labour, bias, LLM proliferation, moderating c

```
Your thoughts...

Artificial intelligence programs are intelligent; in the way they are trained and the way calculations and collections of strings can be put together with speed and with logical sense.
Humans, like all biological entities, have are disordered. We are functional systems, but we have biological limitations. We have rapid recall of our brain “databases” based on our senses. Touch, sound, taste brings back memory and result in reaction with often very desirable outcomes for other humans.
Limitation of computational structures include lack of empathy. This is why the efficacy of AI mental health resources should be approached with caution. Emotional judgment calls are a skill acquired by humans through life experience. This can be incredibly difficult to train into a system, if possible, at all.

```
91 changes: 63 additions & 28 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
@@ -1,52 +1,81 @@
/* ASSIGNMENT 1 */
/* SECTION 2 */


--SELECT
/* 1. Write a query that returns everything in the customer table. */


SELECT *
FROM customer;

/* 2. Write a query that displays all of the columns and 10 rows from the cus- tomer table,
sorted by customer_last_name, then customer_first_ name. */


SELECT *
FROM customer
ORDER BY customer_last_name, customer_first_name
LIMIT 10;

--WHERE
/* 1. Write a query that returns all customer purchases of product IDs 4 and 9. */


SELECT *
FROM customer_purchases
WHERE product_id IN (4, 9);

/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
filtered by customer IDs between 8 and 10 (inclusive) using either:
1. two conditions using AND
2. one condition using BETWEEN
*/
-- option 1

SELECT *
, (quantity * cost_to_customer_per_qty) AS price
FROM customer_purchases
WHERE customer_id >=8 AND customer_id <=10;

-- option 2


SELECT *
, (quantity * cost_to_customer_per_qty) AS price
FROM customer_purchases
WHERE customer_id BETWEEN 8 AND 10;

--CASE
/* 1. Products can be sold by the individual unit or by bulk measures like lbs. or oz.
Using the product table, write a query that outputs the product_id and product_name
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.” */

SELECT
product_id,
product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed
FROM product;


/* 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. */

SELECT
product_id,
product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS product_qty_condensed,
CASE
WHEN LOWER(product_name) LIKE '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product;


--JOIN
/* 1. Write a query that INNER JOINs the vendor table to the vendor_booth_assignments table on the
vendor_id field they both have in common, and sorts the result by vendor_name, then market_date. */

SELECT *
FROM vendor
INNER JOIN vendor_booth_assignments
ON vendor.vendor_id = vendor_booth_assignments.vendor_id
ORDER BY vendor_name, market_date;



Expand All @@ -55,15 +84,29 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
-- AGGREGATE
/* 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. */

SELECT
vendor_id
, COUNT(*) AS booth_rentals
FROM vendor_booth_assignments
GROUP BY vendor_id;


/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper
sticker to everyone who has ever spent more than $2000 at the market. Write a query that generates a list
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. */

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
JOIN customer_purchases AS cp
ON c.customer_id = cp.customer_id
GROUP BY c.customer_id
HAVING total_spent > 2000
ORDER BY c.customer_last_name, c.customer_first_name;


--Temp Table
Expand All @@ -78,19 +121,11 @@ When inserting the new vendor, you need to appropriately align the columns to be
VALUES(col1,col2,col3,col4,col5)
*/

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 store', 'Thomas', 'Rosenthal');


-- 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
and year are! */



/* 2. Using the previous query as a base, determine how much money each customer spent in April 2022.
Remember that money spent is quantity*cost_to_customer_per_qty.

HINTS: you will need to AGGREGATE, GROUP BY, and filter...
but remember, STRFTIME returns a STRING for your WHERE statement!! */

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