Table of Contents
The outline of your notebook will show up here. You can include headings in any text cell by starting a line with # , ## , ### , etc., depending on the desired title hierarchy.
You're working for a company that sells motorcycle parts, and they've asked with some help in analyzing their sales data!
They operate three warehouses in the area, selling both retail and wholesale. They offer a variety of parts and accept credit card, cash, and bank transfer as payment methods. However, each payment type incurs a different fee.
The board of directors want to gain a better understanding of wholesale revenue by product line, and how this varies month-to-month and across warehouses. You have been tasked with calculating net revenue for each product line, grouping results by month and warehouse. The results should be filtered so that only "Wholesale" orders are included.
They have provided you with access to their database, which contains the following table called sales:
| Column | Data type | Description |
|---|---|---|
order_number | VARCHAR | Unique order number. |
date | DATE | Date of the order, from June to August 2021. |
warehouse | VARCHAR | The warehouse that the order was made from— North, Central, or West. |
client_type | VARCHAR | Whether the order was Retail or Wholesale. |
product_line | VARCHAR | Type of product ordered. |
quantity | INT | Number of products ordered. |
unit_price | FLOAT | Price per product (dollars). |
total | FLOAT | Total price of the order (dollars). |
payment | VARCHAR | Payment method—Credit card, Transfer, or Cash. |
payment_fee | FLOAT | Percentage of total charged as a result of the payment method. |
Your query output should be presented in the following format:
product_line | month | warehouse | net_revenue |
|---|---|---|---|
| product_one | --- | --- | --- |
| product_one | --- | --- | --- |
| product_one | --- | --- | --- |
| product_one | --- | --- | --- |
| product_one | --- | --- | --- |
| product_one | --- | --- | --- |
| product_two | --- | --- | --- |
| ... | ... | ... | ... |
SELECT *
FROM sales
LIMIT 5;SELECT product_line,
EXTRACT(month FROM date) AS month,
warehouse,
(SUM(total) * (1-SUM(payment_fee))) AS sum_total
FROM sales
WHERE client_type = 'Wholesale'
GROUP BY 1, 2, 3
ORDER BY 1 ASC, 2 ASC, 3 DESC
SELECT
product_line,
RTRIM(TO_CHAR(date, 'Month')) AS month,
warehouse,
ROUND(SUM(total * (1 - payment_fee))::numeric, 2) AS net_revenue
FROM sales
WHERE client_type = 'Wholesale'
GROUP BY product_line, warehouse, month
ORDER BY product_line, month, net_revenue DESC