diff --git a/02_activities/assignments/Cohort_8/Baruni Prabaharan - Assignment 1 Logical Diagram.xlsx b/02_activities/assignments/Cohort_8/Baruni Prabaharan - Assignment 1 Logical Diagram.xlsx new file mode 100644 index 000000000..c19ec190c Binary files /dev/null and b/02_activities/assignments/Cohort_8/Baruni Prabaharan - Assignment 1 Logical Diagram.xlsx differ diff --git a/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.db b/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.db new file mode 100644 index 000000000..bb787a662 Binary files /dev/null and b/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.db differ diff --git a/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.sqbpro b/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.sqbpro new file mode 100644 index 000000000..976ebc152 --- /dev/null +++ b/02_activities/assignments/Cohort_8/Baruni Prabaharan Assignment 1.sqbpro @@ -0,0 +1,4 @@ +
SELECT * +FROM customer_purchases +WHERE product_id IN (4, 9); + diff --git a/02_activities/assignments/Cohort_8/assignment1.sql b/02_activities/assignments/Cohort_8/assignment1.sql index c992e3205..7c65a7792 100644 --- a/02_activities/assignments/Cohort_8/assignment1.sql +++ b/02_activities/assignments/Cohort_8/assignment1.sql @@ -4,17 +4,22 @@ --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), @@ -23,29 +28,65 @@ filtered by customer 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 customer_id >= 8 AND customer_id <= 10; --- option 2 +-- option 2 +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 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_id, +v.vendor_name, +vba.market_date, +vba.booth_number +FROM vendor AS v +INNER JOIN vendor_booth_assignments AS vba +ON v.vendor_id = vba.vendor_id +ORDER BY v.vendor_name, vba.market_date; + @@ -55,6 +96,13 @@ 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 booth_rental_count +FROM vendor_booth_assignments +GROUP BY vendor_id +ORDER BY booth_rental_count DESC; + @@ -63,7 +111,17 @@ 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_spent +FROM customer_purchases AS cp +INNER JOIN customer AS c +ON cp.customer_id = c.customer_id +GROUP BY c.customer_id, c.customer_first_name, c.customer_last_name +HAVING SUM(cp.quantity * cp.cost_to_customer_per_qty) > 2000 +ORDER BY c.customer_last_name, c.customer_first_name; --Temp Table @@ -77,6 +135,13 @@ 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, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal'); + + @@ -85,7 +150,11 @@ 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. @@ -94,3 +163,11 @@ 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, +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; +