Research on the Sales Distribution Law of Vegetable Products Based on Linear Fitting

Abstract

Firstly, the hourly sales volume changes of vegetable categories and individual products are analyzed from the time dimension, and frequency distribution histograms are used to describe the distribution patterns of vegetable categories and individual product sales volume. Then, Spearman correlation analysis is used to obtain the distribution patterns of individual product sales volume, and linear fitting is used to compare and analyze the continuous sales volume of the six major categories for three years using a bar chart, From the demand side perspective, there is often a certain correlation between the sales volume of vegetable products and time. This article analyzes the relationship between vegetable categories and individual product sales volume from the time dimension. At the same time, based on the distribution patterns of the six major categories, Spearman correlation analysis was used to obtain the distribution patterns of individual product sales volume. Linear fitting was performed, and the continuous sales volume of the six categories for three years was compared and analyzed using a bar chart to obtain the general monthly and seasonal patterns of vegetable sales. Then, descriptive statistical analysis is used to analyze the distribution patterns of vegetable categories and single item sales volume, and the correlation relationships between different categories or single items of vegetable products are obtained. Finally, a grey correlation analysis model is established to predict the distribution patterns and interrelationships of vegetable categories and single item sales volume based on this model.