diff --git a/02_activities/assignments/Cohort_8/assignment1.sql b/02_activities/assignments/Cohort_8/assignment1.sql index c992e3205..96a5a5d63 100644 --- a/02_activities/assignments/Cohort_8/assignment1.sql +++ b/02_activities/assignments/Cohort_8/assignment1.sql @@ -4,17 +4,23 @@ --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. */ - +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), @@ -23,30 +29,71 @@ filtered by customer IDs between 8 and 10 (inclusive) using either: 2. one condition using BETWEEN */ -- option 1 +SELECT *, +CASE + WHEN customer_id >= 8 AND customer_id <= 10 + THEN quantity*cost_to_customer_per_qty +END as price +FROM customer_purchases; - --- option 2 +-- I wasn't too sure what you meant by "filtered", +-- so below is another interpretation +SELECT *, +quantity*cost_to_customer_per_qty AS price +FROM customer_purchases +WHERE customer_id >= 8 AND customer_id <= 10; +-- option 2 +SELECT *, +CASE + WHEN customer_id BETWEEN 8 AND 10 + THEN quantity*cost_to_customer_per_qty +END as price +FROM customer_purchases; + +-- Dito; here is another interpretation +SELECT *, +quantity*cost_to_customer_per_qty 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; /* 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 * +FROM vendor +INNER JOIN vendor_booth_assignments + ON vendor.vendor_id = vendor_booth_assignments.vendor_id +ORDER BY vendor_name, market_date; @@ -55,7 +102,10 @@ 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 vendor_id, +COUNT(*) AS total_rentals_booth +FROM vendor_booth_assignments +GROUP BY vendor_id; /* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper @@ -64,7 +114,19 @@ 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 customer.customer_id, + customer.customer_first_name, + customer.customer_last_name, + SUM(quantity*cost_to_customer_per_qty) AS total_expenditure +FROM customer_purchases +INNER JOIN customer + ON customer_purchases.customer_id = customer.customer_id +GROUP BY customer.customer_id, + customer.customer_first_name, + customer.customer_last_name +HAVING total_expenditure > 2000 +ORDER BY customer.customer_last_name, + customer.customer_first_name; --Temp Table /* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor: @@ -78,7 +140,17 @@ When inserting the new vendor, you need to appropriately align the columns to be VALUES(col1,col2,col3,col4,col5) */ +DROP TABLE IF EXISTS temp.new_vendor; +CREATE TABLE temp.new_vendor AS +SELECT * +FROM vendor; + +INSERT INTO temp.new_vendor +VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal'); + +SELECT * +FROM temp.new_vendor; -- Date /*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table. @@ -86,7 +158,11 @@ 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; /* 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. @@ -94,3 +170,10 @@ 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, + 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; \ No newline at end of file diff --git a/02_activities/assignments/Cohort_8/erdiagram.png b/02_activities/assignments/Cohort_8/erdiagram.png new file mode 100644 index 000000000..c5dd1e820 Binary files /dev/null and b/02_activities/assignments/Cohort_8/erdiagram.png differ