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113 changes: 113 additions & 0 deletions 02_activities/assignments/Cohort_8/Assignment1.md
Original file line number Diff line number Diff line change
Expand Up @@ -120,28 +120,93 @@ Steps to complete this part of the assignment:

#### 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 customer table, sorted by customer_last_name, then customer_first_ name.

<div align="center">-</div>

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.

SELECT *

FROM customer_purchases
WHERE 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), filtered by customer IDs between 8 and 10 (inclusive) using either:
1. two conditions using AND
SELECT *,
(quantity*cost_to_customer_per_qty) as price
FROM customer_purchases
WHERE customer_id >= 8
AND customer_id <= 10;

2. one condition using BETWEEN

<div align="center">-</div>
SELECT *,
(quantity*cost_to_customer_per_qty) as price
FROM customer_purchases

WHERE customer_id BETWEEN '8' AND '10';
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8 and 10 are numeric. Do not need a quote here



#### 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'
WHEN product_qty_type IS NULL THEN 'NULL'
ELSE 'bulk'
END as product_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.

<div align="center">-</div>

SELECT product_id, product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
WHEN product_qty_type IS NULL THEN 'NULL'
ELSE 'bulk'
END AS product_qty_type_condensed,
CASE
WHEN product_name LIKE '%pepper%' THEN 1
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LIKE '%pepper%' -- this will not match "Pepper" or "PEPPER". Consider using LOWER(...) LIKE '...'

ELSE 0
END AS pepper_flag
FROM product;

#### JOIN
1. Write a query that `INNER JOIN`s 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 *

FROM vendor
INNER JOIN vendor_booth_assignments
ON vendor.vendor_id=vendor_booth_assignments.vendor_id
ORDER BY vendor_name, market_date;

--or if we want only one vendor_id column:
SELECT
vendor.vendor_id,
vendor.vendor_name,
vendor_booth_assignments.market_date,
vendor_booth_assignments.booth_number
FROM vendor
INNER JOIN vendor_booth_assignments
ON vendor.vendor_id = vendor_booth_assignments.vendor_id
ORDER BY vendor.vendor_name, vendor_booth_assignments.market_date;

***

## Section 3:
Expand All @@ -157,12 +222,40 @@ Steps to complete this part of the assignment:

#### 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 vendor_id,
COUNT(booth_number) as num_booths
FROM vendor_booth_assignments
GROUP BY vendor_id;


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.

<div align="center">-</div>


SELECT
c.customer_first_name,
c.customer_last_name,
ROUND(SUM (cp.quantity*cp.cost_to_customer_per_qty),0) as total_spend

FROM customer_purchases AS cp
INNER JOIN customer AS 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;

#### 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

Expand All @@ -173,6 +266,26 @@ To insert the new row use VALUES, specifying the value you want for each column:

<div align="center">-</div>

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'
);


#### Date
1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.

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