assignment-one sql

02_activities/assignments/DC_Cohort/Assignment1.md

@@ -209,5 +209,11 @@ Consider, for example, concepts of fariness, inequality, social structures, marg
 
 
 ```
-Your thoughts...
+Databases are part of many areas of our everyday lives in today’s digital world, including university portals, banking apps, navigation systems, search engines, and streaming platforms. The way these systems are designed - their underlying structure or “schema” - shapes how people are categorized and understood within them. For example, many databases require users to select from fixed options such as marital status or gender, reflecting assumptions about what categories are allowed and used to link datapoints within the data base. 
+
+Another important value reflected in many modern data systems is a users consumption behavior. In particular, databases are often built to track, predict, and encourage user spending and engagement. For instance, online shopping platforms frequently require users to create an account rather than allowing guest checkout, enabling the system to store personal data and generate “recommended for you” suggestions. 
+
+A further value embedded in many databases is locality or residency. Many systems, such as those used for credit cards or Social Insurance Numbers, require a fixed address or proof of residence. This reflects an assumption that individuals are tied to a specific place. However, in an increasingly global and mobile world, where remote work and travel are more common, this emphasis on having a permanent address may not reflect everyone’s reality.
+
+The underlying trend/challenge in values that are embedded in databases are the increasingly importance of personalization. Adds, medicine, consumer goods are being tailored more and more effectively to every individual. This, on the one hand necessitates databases to build a personalized user profile, however, in the future this will also raise the need for personalized answer options, making databases (which ultimately categorize and structure social networks/data) more fluid and dynamic. 
 ```

02_activities/assignments/DC_Cohort/assignment1.sql

@@ -6,7 +6,7 @@
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
-
+SELECT * FROM customer;
 
 
 
@@ -16,9 +16,9 @@
 /* 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. */
 --QUERY 2
-
-
-
+SELECT * FROM customer
+ORDER BY customer_first_name
+LIMIT 10;
 
 --END QUERY
 
@@ -27,7 +27,9 @@ sorted by customer_last_name, then customer_first_ name. */
 /* 1. Write a query that returns all customer purchases of product IDs 4 and 9. 
 Limit to 25 rows of output. */
 --QUERY 3
-
+SELECT * FROM customer_purchases
+WHERE product_id IN (4, 9)
+LIMIT 25
 
 
 
@@ -42,7 +44,10 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 Limit to 25 rows of output.
 */
 --QUERY 4
-
+ SELECT *, quantity * cost_to_customer_per_qty AS Price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10
+LIMIT 25;
 
 
 
@@ -55,6 +60,13 @@ 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.” */
 --QUERY 5
+ SELECT  product_id, product_name,  
+	CASE 
+		WHEN product_qty_type = 'unit' THEN 'unit'
+		ELSE 'bulk'
+
+	END AS prod_qty_type_condensed
+FROM product
 
 
 
@@ -66,7 +78,18 @@ if the product_qty_type is “unit,” and otherwise displays the word “bulk.
 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. */
 --QUERY 6
-
+ 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
 
 
 
@@ -79,7 +102,10 @@ vendor_id field they both have in common, and sorts the result by market_date, t
 Limit to 24 rows of output. */
 --QUERY 7
 
-
+SELECT * FROM vendor_booth_assignments
+INNER JOIN vendor ON vendor_booth_assignments.vendor_id = vendor.vendor_id
+ORDER BY market_date, vendor_name
+LIMIT 24
 
 
 --END QUERY
@@ -92,8 +118,10 @@ Limit to 24 rows of output. */
 /* 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. */
 --QUERY 8
-
-
+SELECT vendor_id,
+ COUNT(vendor_id) AS booth_count
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
 
 
 --END QUERY
@@ -106,6 +134,12 @@ 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. */
 --QUERY 9
 
+SELECT customer.customer_last_name, customer.customer_first_name, customer.customer_id, SUM(customer_purchases.cost_to_customer_per_qty) AS total_spent
+FROM customer_purchases
+JOIN customer ON customer_purchases.customer_id = customer.customer_id
+GROUP BY customer.customer_id
+HAVING SUM(cost_to_customer_per_qty) > 2000
+ORDER BY customer_last_name, customer_first_name;
 
 
 
@@ -124,7 +158,10 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 --QUERY 10
-
+CREATE TEMPORARY TABLE new_vendor AS
+SELECT * FROM vendor
+UNION ALL
+SELECT '10', 'Thomas Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal';
 
 
 
@@ -138,7 +175,9 @@ HINT: you might need to search for strfrtime modifers sqlite on the web to know
 and year are! 
 Limit to 25 rows of output. */
 --QUERY 11
-
+SELECT customer_id,  strftime('%m', market_date) AS month, strftime('%Y', market_date) AS year
+FROM customer_purchases
+LIMIT 25
 
 
 
@@ -152,6 +191,10 @@ HINTS: you will need to AGGREGATE, GROUP BY, and filter...
 but remember, STRFTIME returns a STRING for your WHERE statement...
 AND be sure you remove the LIMIT from the previous query before aggregating!! */
 --QUERY 12
+SELECT customer_id, SUM(quantity * cost_to_customer_per_qty) AS total_spend 
+FROM customer_purchases
+WHERE market_date LIKE '2022-04%'
+GROUP BY customer_id;