Abstract
Focusing on the chicken market, this paper makes a big data analysis on the chicken sales parameters of ZhengDa Group. First of all, python software is used for data preprocessing, and the sales situation of ZhengDa chicken food is analyzed by descriptive statistics. In terms of sales, the commodity price and distribution of ZhengDa chicken products are analyzed in turn. Then use the comments of ZhengDa fried chicken chops to analyze the emotion, and establish a theme model to understand the overall feeling of users on food, so as to solve the problem of product shortage and improve customer satisfaction. Finally, time series analysis is used to predict the final data.
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