Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion 02_activities/assignments/DC_Cohort/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -108,6 +108,8 @@ Please do not pick the exact same tables that I have already diagrammed. For exa

***



## Section 2:
You can start this section following *session 2*.

Expand Down Expand Up @@ -205,5 +207,5 @@ Consider, for example, concepts of fariness, inequality, social structures, marg


```
Your thoughts...
One random example that I can think about that might be embedded within something as small as sinks and paper towel machines is their ability to detect skin tones. This is something I notice almost every day in the office and why I am even very passionate about equity-oriented design because with a lot of tools in society they are designed based on white skin, so when people who have darker skin tones try to use these devices they end up not working for us. While this might seem like a small problem when it comes to sinks and paper towel machines but this problem cascades when we start to this about facial recognition devices, pulse oximeters, and other technologies and tools that have deep rooted algorithmic biases embedded within their databases.
```
78 changes: 73 additions & 5 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,23 @@

--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 = 4
OR product_id = 9;


/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
Expand All @@ -23,30 +29,66 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
2. one condition using BETWEEN
*/
-- option 1
SELECT *, (quantity*cost_to_customer_per_qty) as 'price'
FROM customer_purchases

WHERE customer_id = 8
AND 10;

-- option 2

-- 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 *
,CASE WHEN product_qty_type = 'unit'
THEN 'unit'
ELSE 'bulk'
END AS product_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 *
,CASE WHEN product_qty_type = 'unit'
THEN 'unit'
ELSE 'bulk'
END AS product_qty_type_condensed

,CASE WHEN 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 DISTINCT vendor_name,
market_date,
vb.vendor_id,
v.vendor_id

FROM vendor as v
INNER JOIN vendor_booth_assignments as vb
ON vb.vendor_id = v.vendor_id

ORDER BY vendor_name;




Expand All @@ -56,6 +98,9 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
/* 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(vendor_id) as num_of_rented_booths
FROM vendor_booth_assignments
GROUP BY vendor_id;


/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper
Expand All @@ -64,6 +109,19 @@ 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. */

SELECT
customer_first_name,
customer_last_name,
SUM(quantity*cost_to_customer_per_qty) AS total_spent

FROM customer_purchases AS cp
INNER JOIN customer AS c
ON cp.customer_id = c.customer_id

GROUP BY customer_first_name, customer_last_name

HAVING SUM(quantity*cost_to_customer_per_qty) > 2000
ORDER BY customer_last_name, customer_first_name;


--Temp Table
Expand All @@ -78,7 +136,17 @@ When inserting the new vendor, you need to appropriately align the columns to be
VALUES(col1,col2,col3,col4,col5)
*/

DROP TABLE IF EXISTS temp.new_vendor;

CREATE TABLE temp.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');

SELECT *
FROM temp.new_vendor

-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.
Expand Down
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Loading