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68 changes: 59 additions & 9 deletions 02_activities/assignments/DC_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,8 @@
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1

SELECT * FROM customer




Expand All @@ -17,7 +19,9 @@
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 @@ -28,6 +32,9 @@ sorted by customer_last_name, then customer_first_ name. */
Limit to 25 rows of output. */
--QUERY 3

SELECT * FROM customer_purchases
WHERE product_id = 4 OR 9
LIMIT 25



Expand All @@ -43,7 +50,10 @@ Limit to 25 rows of output.
*/
--QUERY 4


SELECT * FROM customer_purchases
WHERE customer_id = 8 BETWEEN 10
SELECT quantity * cost_per_quantity AS price
LIMIT 25


--END QUERY
Expand All @@ -56,7 +66,12 @@ columns and add a column called prod_qty_type_condensed that displays the word
if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */
--QUERY 5


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


--END QUERY
Expand All @@ -67,7 +82,17 @@ 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, product_qty_type FROM product
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'


--END QUERY
Expand All @@ -79,6 +104,11 @@ vendor_id field they both have in common, and sorts the result by market_date, t
Limit to 24 rows of output. */
--QUERY 7

SELECT * FROM vendor
INNER JOIN vendor_booth_assignment
ON vendor.vendor_id = vendor_booth_assignment.vendor_id
ORDER BY market_date, vendor_name
LIMIT 24



Expand All @@ -93,6 +123,10 @@ Limit to 24 rows of output. */
at the farmer’s market by counting the vendor booth assignments per vendor_id. */
--QUERY 8

SELECT * FROM vendor
INNER JOIN vendor_booth_assignment
ON vendor.vendor_id = vendor_booth_assignment.vendor_id
COUNT(GROUP BY vendor_id)



Expand All @@ -107,7 +141,13 @@ HINT: This query requires you to join two tables, use an aggregate function, and
--QUERY 9



SELECT * FROM customer
INNER JOIN customer_purchases
ON customer.customer_id = customer_purchases.customer_id
GROUP BY customer_id
SUM(quantity*cost_per_quantity) AS total_spent
HAVING total_spent > 2000
ORDER BY last_name, first_name

--END QUERY

Expand All @@ -124,9 +164,8 @@ When inserting the new vendor, you need to appropriately align the columns to be
VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10



SELECT * FROM vendor INTO temp.new_vendor
VALUES(10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal')

--END QUERY

Expand All @@ -140,20 +179,31 @@ Limit to 25 rows of output. */
--QUERY 11



SELECT customer_id, market_date FROM customer_purchases
SELECT STRFTIME('%M', market_date) AS month
SELECT STRFTIME('%Y', market_date) AS year
LIMIT 25

--END QUERY


/* 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_per_quantity.


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 * FROM customer_purchases
SELECT STRFTIME('%M', market_date) AS month
SELECT STRFTIME('%Y', market_date) AS year
GROUP BY customer_id
HAVING month = '04' AND year = '2022'
SUM(quantity*cost_per_quantity) AS price



--END QUERY
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