Data Visualization System to Examine the Market Price Trend of Agricultural Products

This study aimed to evaluate user satisfaction with a data visualization system designed to analyze agricultural product price trends for China trade. The system was developed using public data and Microsoft Power BI, employing the Extract, Transform, Load (ETL) process. By incorporating China's economic data and agricultural product prices, the system supports entrepreneurs in making informed trading decisions. The research assessed the system's effectiveness and usability, gauging its potential impact on China's agricultural trading market. This comprehensive approach to developing and evaluating a data visualization system for agricultural product price trends ultimately seeks to enhance trading efficiency with China. The study's findings provide valuable insights into the system's potential to improve decision-making processes in the context of China-focused agricultural trade.