A Study on Visualizing and Estimating Demands in a Floral Market

Abstract

This paper organizes transaction data from the floral market and discusses estimation methods for visualizing the demand for chrysanthemums. Due to the extended time from cultivation to harvest for flowers, managing supply appropriately becomes challenging, leading to price instability. Therefore, forecasting demand is essential to regulate supply and stabilize prices effectively. The paper addresses the organization of transaction data in the floral market and utilizes multiple regression analysis to reveal the relationship between price and transaction data.