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79 changes: 68 additions & 11 deletions 02_activities/assignments/Cohort_8/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,27 @@

--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
GROUP 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
cp.product_id,
vendor_id,
product_name
FROM customer_purchases as cp
INNER JOIN product as p
ON cp.product_id = p.product_id
WHERE cp.product_id IN (4, 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 +33,56 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
2. one condition using BETWEEN
*/
-- option 1

# logic of price is added line 41
SELECT *, ROUND((quantity * cost_to_customer_per_qty), 2) AS price
FROM customer_purchases
WHERE customer_id >= 8 AND customer_id <= 10;

-- option 2

SELECT *, ROUND((quantity * cost_to_customer_per_qty), 2) 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
product_id,
product_name,
CASE
WHEN product_qty_type = 'unit' then 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed
FROM product
GROUP BY product_id


/* 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
product_name,
CASE
WHEN LOWER (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
v.vendor_name,
vb.market_date,
v.vendor_id
FROM vendor as v
INNER JOIN vendor_booth_assignments as vb
ON v.vendor_id = vb.vendor_id
GROUP BY v.vendor_name, vb.market_date



Expand All @@ -55,15 +91,32 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
-- 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. */

SELECT
v.vendor_id,
v.vendor_name,
booth_number,
COUNT (booth_number) as booth_count
FROM vendor AS v
INNER JOIN vendor_booth_assignments as vb
ON v.vendor_id = vb.vendor_id
GROUP BY v.vendor_name, booth_number


/* 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. */

SELECT
c.customer_last_name,
c.customer_first_name,
SUM (cp.quantity*cp.cost_to_customer_per_qty) as total_spent
FROM customer as c
INNER JOIN customer_purchases as cp
ON c.customer_id = cp.customer_id
GROUP BY c.customer_last_name, c.customer_first_name
HAVING SUM( cp.quantity*cp.cost_to_customer_per_qty) >2000
ORDER BY c.customer_last_name, c.customer_first_name


--Temp Table
Expand All @@ -77,7 +130,11 @@ When inserting the new vendor, you need to appropriately align the columns to be
-> To insert the new row use VALUES, specifying the value you want for each column:
VALUES(col1,col2,col3,col4,col5)
*/

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, "Thomas Superfood Store", 'Fresh Focused', 'Rosenthal', 'Thomas');


-- Date
Expand Down
Binary file added 02_activities/assignments/Cohort_8/images/a-1.jpg
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