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102 changes: 98 additions & 4 deletions 02_activities/assignments/Microcredential_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,8 @@
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1


SELECT *
FROM customer;


--END QUERY
Expand All @@ -17,7 +18,10 @@
sorted by customer_last_name, then customer_first_ name. */
--QUERY 2


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


--END QUERY
Expand All @@ -28,7 +32,10 @@ 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 +50,11 @@ Limit to 25 rows of output.
*/
--QUERY 4


SELECT *,
quantity*cost_to_customer_per_qty AS price
FROM customer_purchases
WHERE customer_id between 8 and 10
LIMIT 25;


--END QUERY
Expand All @@ -56,7 +67,15 @@ 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_condensed

FROM product;


--END QUERY
Expand All @@ -67,6 +86,22 @@ 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 LOWER(product_name) LIKE '%pepper%'
THEN 1
ELSE 0
END as pepper_flag

FROM product;



Expand All @@ -79,6 +114,13 @@ 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 as v
INNER JOIN vendor_booth_assignments as vba
on v.vendor_id = vba.vendor_id
ORDER BY vba.market_date ASC, v.vendor_name ASC
LIMIT 24;



Expand All @@ -93,6 +135,14 @@ 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,
booth_number,
COUNT (* ) as booth_rental_count

FROM vendor_booth_assignments

GROUP BY vendor_id, booth_number
ORDER BY vendor_id, booth_number;



Expand All @@ -105,6 +155,25 @@ 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,
customer_first_name,
customer_last_name,
SUM(quantity* cost_to_customer_per_qty) AS total_spend

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

GROUP BY
c.customer_id,
c.customer_last_name, -- weirdly the query fails when not grouped by names depite having the id
c.customer_first_name

HAVING SUM(quantity* cost_to_customer_per_qty) > 2000

ORDER BY
c.customer_last_name,
c.customer_first_name;



Expand All @@ -124,9 +193,17 @@ When inserting the new vendor, you need to appropriately align the columns to be
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');

SELECT *
FROM temp.new_vendor;

--END QUERY

Expand All @@ -139,6 +216,12 @@ and year are!
Limit to 25 rows of output. */
--QUERY 11

SELECT customer_id,
strftime('%m', market_date) as purchase_month,
strftime('%Y', market_date) as purchase_year

FROM customer_purchases
LIMIT 25;



Expand All @@ -153,6 +236,17 @@ 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,
SUM(quantity* cost_to_customer_per_qty) AS money_spent

FROM customer_purchases

WHERE strftime('%Y', market_date) = '2022'
AND strftime('%m', market_date) = '04'


GROUP BY customer_id;




Expand Down
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