DATA SCIENCE WITH JDBC AND SQLITE USING OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE

In this project, you will develop step by step implementation of JDBC/SQLITE with object-oriented approach using SQLite version of an Oracle sample database named electronics. You will be taught how to plot country distribution in each region; location distribution in each country and region; warehouse distribution in each country, region, and city; product distribution by category name; categorized standard cost and categorized list price values distribution in products table; categorized values in inventories table; employee distribution by job title; customer distribution by categorized credit limit; order distribution by customer employee, status, and by categorized credit limit; the top 10 sales distribution by product name; the top 10 sales distribution by category name; the order distribution by category; and order distribution by status.

The electronics database itself is based on a global fictitious company that sells computer hardware including storage, motherboard, RAM, video card, and CPU. You can download the sample database from https://viviansiahaan.blogspot.com/2023/03/book-jdbc-and-sqlite-with-object.html. In the database, the company maintains the product information such as name, description standard cost, list price, and product line. It also tracks the inventory information for all products including warehouses where products are available. Because the company operates globally, it has warehouses in various locations around the world.

The company records all customer information including name, address, and website. Each customer has at least one contact person with detailed information including name, email, and phone. The company also places a credit limit on each customer to limit the amount that customer can owe. Whenever a customer issues a purchase order, a sales order is created in the database with the pending status. When the company ships the order, the order status becomes shipped. In case the customer cancels an order, the order status becomes canceled. In addition to the sales information, the employee data is recorded with some basic information such as name, email, phone, job title, manager, and hire date.