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Assignment 1 submission #1

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129 changes: 114 additions & 15 deletions 02_activities/assignments/Microcredential_Cohort/assignment1.sql
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@

/* ASSIGNMENT 1 */
--Please write responses between the QUERY # and END QUERY blocks
/* SECTION 2 */
Expand All @@ -7,7 +8,7 @@
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1


SELECT * FROM customer;


--END QUERY
Expand All @@ -17,7 +18,11 @@
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 @@ -28,7 +33,12 @@ sorted by customer_last_name, then customer_first_ name. */
Limit to 25 rows of output. */
--QUERY 3


SELECT *
FROM customer_purchases
WHERE
product_id IN (4,9)
LIMIT 25
;


--END QUERY
Expand All @@ -43,7 +53,13 @@ Limit to 25 rows of output.
*/
--QUERY 4


SELECT *,
ROUND(quantity * cost_to_customer_per_qty, 2) as 'price'
FROM customer_purchases
WHERE
customer_id BETWEEN 8 AND 10
LIMIT 25
;


--END QUERY
Expand All @@ -56,7 +72,16 @@ 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,
CASE
WHEN product_qty_type = "unit" THEN "unit"
ELSE "bulk"
END
AS prod_qty_type
FROM product
;


--END QUERY
Expand All @@ -67,7 +92,21 @@ 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,
CASE
WHEN product_name LIKE "%pepper%" THEN 1
ELSE 0
END
AS pepper_flag
FROM product
;


--END QUERY
Expand All @@ -79,9 +118,19 @@ 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
v.vendor_id,
v.vendor_name,
vb.vendor_id,
vb.market_date
FROM vendor as v
INNER JOIN vendor_booth_assignments as vb
ON v.vendor_id = vb.vendor_id
ORDER BY market_date, vendor_name
LIMIT 24
;


--END QUERY


Expand All @@ -93,8 +142,11 @@ Limit to 24 rows of output. */
at the farmer’s market by counting the vendor booth assignments per vendor_id. */
--QUERY 8



SELECT
vendor_id,
count(market_date)
FROM vendor_booth_assignments
GROUP BY vendor_id

--END QUERY

Expand All @@ -106,7 +158,19 @@ 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. */
--QUERY 9


SELECT
cp.customer_id,
ROUND(sum(cp.quantity * cp.cost_to_customer_per_qty), 2) as 'total_spend',
c.customer_id,
c.customer_first_name,
c.customer_last_name
FROM customer_purchases AS cp
INNER JOIN customer as c
ON cp.customer_id = c.customer_id
GROUP BY cp.customer_id
HAVING total_spend > 2000
ORDER BY customer_last_name, customer_first_name
;


--END QUERY
Expand All @@ -125,8 +189,27 @@ VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10

DROP TABLE IF EXISTS temp.new_vendor;

CREATE 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 @@ -139,7 +222,13 @@ and year are!
Limit to 25 rows of output. */
--QUERY 11


SELECT
customer_id,
strftime('%m', market_date) as market_month,
strftime('%Y', market_date) as market_year
FROM customer_purchases
LIMIT 25
;


--END QUERY
Expand All @@ -153,7 +242,17 @@ 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,
strftime('%m', market_date) as market_month,
strftime('%Y', market_date) as market_year,
ROUND(sum(quantity * cost_to_customer_per_qty), 2) as 'total_spend'
FROM customer_purchases
WHERE
market_month = "04" AND
market_year = "2022"
GROUP BY customer_id
;



--END QUERY
--END QUERY