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368 changes: 209 additions & 159 deletions 02_activities/assignments/Microcredential_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
@@ -1,159 +1,209 @@
/* ASSIGNMENT 1 */
--Please write responses between the QUERY # and END QUERY blocks
/* SECTION 2 */


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




--END QUERY


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




--END QUERY


--WHERE
/* 1. Write a query that returns all customer purchases of product IDs 4 and 9.
Limit to 25 rows of output. */
--QUERY 3




--END QUERY



/*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
Limit to 25 rows of output.
*/
--QUERY 4




--END QUERY


--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.” */
--QUERY 5




--END QUERY


/* 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. */
--QUERY 6




--END QUERY


--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 market_date, then vendor_name.
Limit to 24 rows of output. */
--QUERY 7




--END QUERY



/* SECTION 3 */

-- 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. */
--QUERY 8




--END QUERY


/* 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. */
--QUERY 9




--END QUERY


--Temp Table
/* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor:
Thomass Superfood Store, a Fresh Focused store, owned by Thomas Rosenthal

HINT: This is two total queries -- first create the table from the original, then insert the new 10th vendor.
When inserting the new vendor, you need to appropriately align the columns to be inserted
(there are five columns to be inserted, I've given you the details, but not the syntax)

-> To insert the new row use VALUES, specifying the value you want for each column:
VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10




--END QUERY


-- 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!
Limit to 25 rows of output. */
--QUERY 11




--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_to_customer_per_qty.

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




--END QUERY
/* ASSIGNMENT 1 */
--Please write responses between the QUERY # and END QUERY blocks
/* SECTION 2 */


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


/* 2. Write a query that displays all of the columns and 10 rows from the customer table,
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


--WHERE
/* 1. Write a query that returns all customer purchases of product IDs 4 and 9.
Limit to 25 rows of output. */
--QUERY 3
SELECT *
FROM customer_purchases
WHERE product_id IN (4,9)
LIMIT 25;
--END QUERY



/*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
Limit to 25 rows of output.
*/
--QUERY 4
SELECT
product_id,
vendor_id,
market_date,
customer_id,
quantity,
cost_to_customer_per_qty,
transaction_time,
quantity * cost_to_customer_per_qty AS price
FROM customer_purchases
WHERE customer_id BETWEEN 8 AND 10
LIMIT 25;
--END QUERY


--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.” */
--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


/* 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. */
--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 product_name LIKE '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product;
--END QUERY


--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 market_date, then vendor_name.
Limit to 24 rows of output. */
--QUERY 7
SELECT
vd.vendor_id,
vendor_name,
vendor_type,
vendor_owner_first_name,
vendor_owner_last_name,
booth_number,
market_date

FROM vendor AS vd
INNER JOIN vendor_booth_assignments AS vb
ON vd.vendor_id = vb.vendor_id
ORDER BY market_date, vendor_name
LIMIT 24;
--END QUERY



/* SECTION 3 */

-- 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. */
--QUERY 8
SELECT
vendor_id,
COUNT(booth_number) AS rent_booth

FROM vendor_booth_assignments
GROUP BY vendor_id;
--END QUERY


/* 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. */
--QUERY 9
SELECT
c.customer_last_name,
c.customer_first_name,
c.customer_id,
c.customer_postal_code,
ROUND(SUM(quantity * cost_to_customer_per_qty),2) AS total_spent

FROM customer AS c
INNER JOIN customer_purchases AS cp
ON c.customer_id = cp.customer_id
GROUP BY c.customer_id
HAVING total_spent > 2000
ORDER BY customer_last_name, customer_first_name;
--END QUERY


--Temp Table
/* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor:
Thomass Superfood Store, a Fresh Focused store, owned by Thomas Rosenthal

HINT: This is two total queries -- first create the table from the original, then insert the new 10th vendor.
When inserting the new vendor, you need to appropriately align the columns to be inserted
(there are five columns to be inserted, I've given you the details, but not the syntax)

-> To insert the new row use VALUES, specifying the value you want for each column:
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


-- 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!
Limit to 25 rows of output. */
--QUERY 11
SELECT
customer_id,
strftime('%m', market_date) AS month,
strftime('%Y', market_date) AS year

FROM customer_purchases
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_to_customer_per_qty.

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
customer_id,
strftime('%m', market_date) AS month,
strftime('%Y', market_date) AS year,
SUM(quantity * cost_to_customer_per_qty) AS total_spent

FROM customer_purchases
WHERE strftime('%m', market_date) = '04'
AND strftime('%Y', market_date) = '2022'
GROUP BY customer_id;
--END QUERY