diff --git a/02_activities/assignments/Diagram.png b/02_activities/assignments/Diagram.png
new file mode 100644
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diff --git a/02_activities/assignments/assignment1.sql b/02_activities/assignments/assignment1.sql
index 2e89fa7af..b29964d00 100644
--- a/02_activities/assignments/assignment1.sql
+++ b/02_activities/assignments/assignment1.sql
@@ -4,22 +4,24 @@
 
 --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 in (4,9);
 
 -- option 2
-
-
+SELECT * FROM customer_purchases
+WHERE product_id = 4
+or product_id = 9;
 
 /*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), 
 filtered by vendor IDs between 8 and 10 (inclusive) using either:
@@ -27,11 +29,15 @@ 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. 
@@ -39,19 +45,37 @@ Using the product table, write a query that outputs the product_id and product_n
 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 *
+FROM vendor v
+INNER JOIN vendor_booth_assignments vba
+on v.vendor_id = vba.vendor_id
+ORDER by v.vendor_name, vba.market_date;
 
 
 /* SECTION 3 */
@@ -60,7 +84,10 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
 /* 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;
 
 /* 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 
@@ -68,7 +95,14 @@ 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(p.quantity * p.cost_to_customer_per_qty) as total_spent
+FROM customer c
+JOIN customer_purchases p
+on c.customer_id = p.customer_id
+GROUP by c.customer_id,c.customer_first_name,c.customer_last_name
+HAVING total_spent >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: 
@@ -83,6 +117,12 @@ VALUES(col1,col2,col3,col4,col5)
 */
 
 
+CREATE TEMP TABLE new_vendor AS
+SELECT *
+FROM vendor;
+INSERT INTO new_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');
+
 
 -- Date
 /*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.
@@ -90,7 +130,10 @@ 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. 
@@ -98,3 +141,9 @@ 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('%Y', market_date) = '2022'
+and strftime('%m', market_date) = '04'
+group by customer_id;