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

Book excerpt: In this project, we developed data visualization and data analytics with step by step implementation of JDBC/SQLITE using object-oriented approach. We uses the SQLite version of BikeStores database as a sample database to help you work with SQLite quickly and effectively. You can download the sample database from https://viviansiahaan.blogspot.com/2023/03/my-book-data-visualization-and-data.html. In this project, we plotted: the bar chart that displays the distribution of products by category; the pie chart that displays the distribution of products by brand; the distribution of stores by city; the distribution of stores by state; the top 10 stock distributions by category name; the top 10 stock distributions by brand name; the top 10 stock distributions by store name; the top 10 stock distributions by city; the customer distribution by state; the customer distribution by city; the bar chart distribution of staff by state; the bar chart distribution of staff by city; the bar chart that shows the distribution of orders based on the store name; the pie chart that shows the distribution of orders based on the customer name; the pie chart showing the order distribution by store city; the pie chart showing the order distribution by store state; the pie chart showing the order distribution by customer city; the pie chart showing the order distribution by customer state; the pie chart sales distribution by staff name; the pie chart sales distribution by brand name; the pie chart sales distribution by customer city; the pie chart sales distribution by customer state; the pie chart sales distribution by store city; the pie chart sales distribution by store state; the pie chart sales distribution by product name; the pie chart sales distribution by category name; pie chart sales distribution by customer name; and the pie chart sales distribution by store name. The stores table includes the store’s information. Each store has a store name, contact information such as phone and email, and an address including street, city, state, and zip code. The staffs table stores the essential information of staffs including first name, last name. It also contains the communication information such as email and phone. A staff works at a store specified by the value in the store_id column. A store can have one or more staffs. A staff reports to a store manager specified by the value in the manager_id column. If the value in the manager_id is null, then the staff is the top manager. If a staff no longer works for any stores, the value in the active column is set to zero. The categories table stores the bike’s categories such as children bicycles, comfort bicycles, and electric bikes. The products table stores the product’s information such as name, brand, category, model year, and list price. Each product belongs to a brand specified by the brand_id column. Hence, a brand may have zero or many products. Each product also belongs a category specified by the category_id column. Also, each category may have zero or many products. The customers table stores customer’s information including first name, last name, phone, email, street, city, state, zip code, and photo path. The orders table stores the sales order’s header information including customer, order status, order date, required date, shipped date. It also stores the information on where the sales transaction was created (store) and who created it (staff). Each sales order has a row in the sales_orders table. A sales order has one or many line items stored in the order_items table. The order_items table stores the line items of a sales order. Each line item belongs to a sales order specified by the order_id column. A sales order line item includes product, order quantity, list price, and discount. The stocks table stores the inventory information i.e. the quantity of a particular product in a specific store.