Assignment one

02_activities/assignments/DC_Cohort/Assignment1.md

@@ -209,5 +209,9 @@ Consider, for example, concepts of fariness, inequality, social structures, marg
 
 
 ```
-Your thoughts...
+Databases are designed by people regarding real-world objects. Therefore, within their design, they may reflect the values and assumptions that their designers have with respect to the world. When it becomes necessary for people to interact with these databases to carry out essential activities, then these values and assumptions can have consequences for people whose lives do not align with them.
+
+Fortunately, most of the data systems in Canada that regular people interact with, at least in my experience, are designed very inclusively and fairly. The Canadian government goes to great lengths to do so, and most of the problems around databases are centred more so around efficiently updating them than problems around exclusionary social values. This reflects the high level of social development that Canada has achieved, and I believe that we are very lucky to live in such a unique country.
+
+Rather than existing databases, it may be rather the lack of certain data that displays the value system embedded in the Canadian data ecosystem. Canada currently lacks a large-scale comprehensive micro-level panel survey of residents, which many other advanced economies have (such as the Panel Study of Income Dynamics run by the University of Michigan). This is likely due to the fact that organizing a large-scale repeating survey like this requires significant institutional coordination and investment. Canadian institutions, being relatively more risk-averse compared to those in peer countries, have so far avoided taking the steps necessary to establish such a project. Therefore, it is my belief that the Canadian data ecosystem would benefit greatly from a greater degree of entrepreneurial thinking and bold action.
 ```

02_activities/assignments/DC_Cohort/assignment1.sql

@@ -6,27 +6,30 @@
 --SELECT
 /* 1. Write a query that returns everything in the customer table. */
 --QUERY 1
-
-
-
-
+SELECT *
+FROM customer;
 --END QUERY
 
 
 /* 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_last_name, customer_first_name
+LIMIT 10;
 --END QUERY
 
 
 --WHERE
 /* 1. Write a query that returns all customer purchases of product IDs 4 and 9. 
 Limit to 25 rows of output. */
-
+--QUERY
+SELECT *
+FROM customer_purchases
+WHERE product_id == 4 OR product_id == 9
+LIMIT 25;
+--END QUERY
 
 
 /*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), 
@@ -36,10 +39,10 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
 Limit to 25 rows of output.
 */
 --QUERY 3
-
-
-
-
+SELECT *, (quantity * cost_to_customer_per_qty) AS price
+FROM customer_purchases
+WHERE customer_id BETWEEN 8 AND 10
+LIMIT 25;
 --END QUERY
 
 
@@ -49,21 +52,33 @@ 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 4
-
-
-
-
+SELECT 
+			product_id, 
+			product_name, 
+			CASE
+						WHEN (product_qty_type == 'unit') THEN 'unit'
+						ELSE 'bulk'
+			END AS prod_qty_type_condensed
+FROM product;
 --END QUERY
 
 
 /* 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. */
 --QUERY 5
-
-
-
-
+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;
 --END QUERY
 
 
@@ -72,10 +87,12 @@ contains the word “pepper” (regardless of capitalization), and otherwise out
 vendor_id field they both have in common, and sorts the result by market_date, then vendor_name.
 Limit to 24 rows of output. */
 --QUERY 6
-
-
-
-
+SELECT *
+FROM vendor
+INNER JOIN vendor_booth_assignments 
+	ON vendor.vendor_id = vendor_booth_assignments.vendor_id
+ORDER BY market_date, vendor_name
+LIMIT 24;
 --END QUERY
 
 
@@ -86,10 +103,9 @@ 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 7
-
-
-
-
+SELECT vendor_id, COUNT(*)
+FROM vendor_booth_assignments
+GROUP BY vendor_id;
 --END QUERY
 
 
@@ -99,10 +115,13 @@ 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 8
-
-
-
-
+SELECT *, SUM(quantity * cost_to_customer_per_qty) AS total_expenditure
+FROM customer
+INNER JOIN customer_purchases
+	ON customer.customer_id = customer_purchases.customer_id
+	GROUP BY customer.customer_id
+	HAVING SUM(quantity * cost_to_customer_per_qty) > 2000
+ORDER BY customer_last_name, customer_first_name;
 --END QUERY
 
 
@@ -118,10 +137,12 @@ When inserting the new vendor, you need to appropriately align the columns to be
 VALUES(col1,col2,col3,col4,col5) 
 */
 --QUERY 9
+CREATE TEMPORARY TABLE new_vendor AS
+SELECT *
+FROM vendor
 
-
-
-
+INSERT INTO new_vendor
+VALUES(10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal');
 --END QUERY
 
 
@@ -132,10 +153,12 @@ 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 10
-
-
-
-
+SELECT
+			customer_id,
+			strftime('%m', market_date) AS month,
+			strftime('%Y', market_date) AS year
+FROM customer_purchases
+LIMIT 25;
 --END QUERY
 
 
@@ -146,8 +169,12 @@ 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 11
-
-
-
-
+SELECT
+			customer_id,
+			strftime('%m', market_date) AS month,
+			strftime('%Y', market_date) AS year,
+			SUM(quantity * cost_to_customer_per_qty) AS total_expenditure
+FROM customer_purchases
+WHERE strftime('%m', market_date) = '04' AND strftime('%Y', market_date) = '2022'
+GROUP BY customer_id, year, month;
 --END QUERY