Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Binary file added 02_activities/assignment-one-diagram.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
95 changes: 87 additions & 8 deletions 02_activities/assignments/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -4,21 +4,28 @@

--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
order 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. */
-- option 1

select * from customer_purchases
where product_id = 7 or product_id = 9;

-- option 2
select * from customer_purchases
where product_id = 7;

select * from customer_purchases
where product_id = 9;


/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
Expand All @@ -27,30 +34,57 @@ filtered by vendor IDs between 8 and 10 (inclusive) using either:
2. one condition using BETWEEN
*/
-- option 1

select *,
(quantity * cost_to_customer_per_qty) as price
from customer_purchases
where vendor_id >= 8 AND vendor_id <= 10;

-- option 2

select *,
(quantity * cost_to_customer_per_qty) as price
from customer_purchases
where vendor_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;


/* 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_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


--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, vba.market_date from vendor_booth_assignments vba
join vendor v on v.vendor_id = vba.vendor_id
order by v.vendor_name, vba.market_date



Expand All @@ -59,6 +93,11 @@ 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
*,
count(*) as booth_rental_count
from vendor_booth_assignments
group by vendor_id



Expand All @@ -67,6 +106,16 @@ sticker to everyone who has ever spent more than $2000 at the market. Write a qu
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_id,
c.customer_first_name,
c.customer_last_name,
SUM(cp.quantity * cp.cost_to_customer_per_qty) as total
from customer_purchases cp
join customer c on c.customer_id = cp.customer_id
group by c.customer_id, 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



Expand All @@ -81,6 +130,23 @@ 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 copy_vendor as
select * from vendor;

insert into copy_vendor (
vendor_id,
vendor_name,
vendor_type,
vendor_owner_first_name,
vendor_owner_last_name
)
values (
10,
'Thomass Superfood Store',
'Fresh Focused store',
'Thomas',
'Rosenthal'
);



Expand All @@ -89,6 +155,11 @@ VALUES(col1,col2,col3,col4,col5)

HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month
and year are! */
select
customer_id,
strftime('%m', market_date) as month,
strftime('%Y', market_date) as year
from customer_purchases;



Expand All @@ -98,3 +169,11 @@ 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!! */

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