The dataset, created using Microsoft Excel, contains a curated list of individuals based in various cities across the Philippines, with details including customer ID, gender, location, position, education, salary, mortgage outstanding, and total mortgage amount. It captures a realistic snapshot of entry- to mid-level professionals—such as office clerks, receptionists, sales associates, and call center agents—along with their corresponding education levels and income.
 

All information related to financial data—such as customer IDs, salaries, mortgage amounts, and total mortgage—is treated as confidential, emphasizing the sensitivity of personal and financial details. This ensures that the dataset demonstrates responsible handling of sensitive information while remaining structured and analyzable.