车厘茄批发价格预测分析数据

蔬菜价格对经济的健康平稳运行具有重要作用。基于市场上前 7日车厘茄批发价格数据来分析当日批发价，通过建立价格模型，使批发价能够迅速反映市场价格的变化趋势。帮助农业主体规避风险、优化决策。通过价格模型，可清晰呈现价格的趋势、波动特征，并为供应链上下游企业进销存管理等提供数据支持。为政府相关部门提供价格异常预警，辅助平稳市场，保障菜篮子供应。1. 数据采集：数据来源于企业批发数据。收集分析日前7日的批发价格数据，形成时间序列数据集。 2. 数据预处理：对数据进行清洗，去掉缺失值和异常值，平滑数据，减少随机波动。 3. 数据分析：
T= （T-1*7+T-2*6+T-3*5+T-4*4+T-5*3+T-6*2+T-7*1）/7+6+5+4+3+2+1
T:T日建议批发价格（kg/元）； T-1:T-1日批发价格（kg/元）； T-2: T-2日批发价格（kg/元）…… T-7：T-7日批发价格（kg/元）4、通过价格模型及时输出当日建议批发价格，可清晰呈现批发价格的趋势、波动特征，并为供应链上下游企业进销存管理提供数据支持。

Vegetable prices play a critical role in the healthy and stable operation of the national economy. This work develops a price prediction model using the 7-day prior wholesale price data of cherry tomatoes to forecast the same-day wholesale price, enabling the wholesale price to quickly reflect market price trends. The model helps agricultural market entities avoid operational risks and optimize decision-making. It can clearly present price trends and volatility characteristics, provide data support for procurement, sales and inventory management of enterprises in the upstream and downstream of the supply chain, and issue price anomaly warnings for relevant government departments to assist in stabilizing the market and guaranteeing vegetable basket supply.

1. Data Collection: The data is sourced from enterprise wholesale transaction records. We collect the wholesale price data of the 7 days preceding the analysis date to construct a time-series dataset.
2. Data Preprocessing: Clean the dataset by removing missing values and outliers, and conduct data smoothing to reduce random price fluctuations.
3. Data Analysis: The proposed price calculation formula is as follows:
$T = frac{7 imes T_{-1} + 6 imes T_{-2} + 5 imes T_{-3} + 4 imes T_{-4} + 3 imes T_{-5} + 2 imes T_{-6} + 1 imes T_{-7}}{7+6+5+4+3+2+1}$
Where:
$T$: Recommended same-day wholesale price (unit: yuan/kg);
$T_{-1}$: Wholesale price on day T-1 (unit: yuan/kg);
$T_{-2}$: Wholesale price on day T-2 (unit: yuan/kg);
$dots$
$T_{-7}$: Wholesale price on day T-7 (unit: yuan/kg)
4. Model Output and Application: The price model can timely output the recommended same-day wholesale price, clearly demonstrate the trends and volatility characteristics of wholesale prices, and provide data support for procurement, sales and inventory management of enterprises in the upstream and downstream of the supply chain.

搜集汇总

背景与挑战

背景概述

该数据集包含561条车厘茄每日批发价格记录，通过前7日价格数据采用加权平均算法预测当日采购价格，主要用于农产品供应链企业的进销存管理和市场价格波动预警。