CREATE TABLE Customers (customer_id NUMBER, payment_method_code VARCHAR2, customer_number VARCHAR2, customer_name VARCHAR2, customer_address VARCHAR2, customer_phone VARCHAR2, customer_email VARCHAR2)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, order_quantity VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_type_code VARCHAR2, product_name VARCHAR2, product_price DOUBLE PRECISION)
CREATE TABLE Addresses (address_id NUMBER, line_1_number_building VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2)
CREATE TABLE Contacts (contact_id NUMBER, customer_id NUMBER, gender VARCHAR2, first_name VARCHAR2, last_name VARCHAR2, contact_phone VARCHAR2)
CREATE TABLE Customer_Address_History (customer_id NUMBER, address_id NUMBER, date_from DATETIME, date_to DATETIME)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_date DATETIME, order_status_code VARCHAR2)

Compare the frequency of product names using a bar chart, and list from low to high by the y axis please.
SELECT product_name, COUNT(product_name) FROM Products GROUP BY product_name ORDER BY COUNT(product_name)
SELECT "product_name", COUNT("product_name") FROM "Products" GROUP BY "product_name" ORDER BY COUNT("product_name")