Data Science With Jdbc And Sqlite Using Object Oriented Approach And Apache Netbeans Ide
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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.
DATA VISUALIZATION AND DATA ANALYTICS USING JDBC AND SQLITE WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE
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.
DATA ANALYSIS USING JDBC AND SQLITE WITH OBJECT-ORIENTED APPROACH AND APACHE NETBEANS IDE
In this project, you will use SQLite version of Northwind database which is a sample database that was originally created by Microsoft and used as the basis for their tutorials in a variety of database products for decades. The Northwind database contains the sales data for a fictitious company called “Northwind Traders,” which imports and exports specialty foods from around the world. The Northwind database is an excellent tutorial schema for a small-business ERP, with customers, orders, inventory, purchasing, suppliers, shipping, employees, and single-entry accounting. You can download the sample database from https://viviansiahaan.blogspot.com/2023/04/data-analysis-using-jdbc-and-sqlite.html. In this project, you will design the form for every table and you will plot: the territory distribution by region; the employee distributions based on city, country, title, and region; the employee distributions based on birth date, hire date, and employee name; the employee distributions based on city, country, territory, and region; the three supplier distributions based on city, region, and country; the product distributions based on city, region, country, categorized unit price, categorized units in stock, and categorized units on order; the customer distributions based on city, region, and country; the order and freight distributions based on year, month, and week; the order and freight distributions based on day, quarter, and ship country; the order and freight distributions based on ship region, ship city, and ship name; the order and freight distributions based on shipper company, customer company, and customer city; the order and freight distributions based on customer country, employee name, and employee title; the sales distributions based on year, month, week, day, quarter, and ship country; the sales distributions based on ship region, ship city, ship name, shipper company, customer company, and customer city; the sales distributions based on customer region, customer country, employee name, employee title, employee city, and employee country; the sales distributions based on product name, category name, supplier company, supplier city, supplier region, and supplier country.