儋州一中学生一周食堂用餐预测消费水平数据

本数据有助于儋州市第一中学及时了解学生的每周就餐消费水平，为学校食堂管理部门根据预测的消费水平来调整食材的采购量、调整食堂菜单以及了解学生经济情况提供辅助决策依据。若学生每周就餐消费水平为“低”，则学校应当合理调整食堂菜单或是对该学生予以关注；若学生每周就餐消费水平为“中”或“高”，则学校无需采取任何行动。1.本数据通过以下方式获得： （1）数据采集：在经原始数据授权的前提下，从本单位运营的“5G智慧食安工业物联网数字化管理平台（SAAS）”上采集儋州市第一中学学生每日就餐数据，包括日期、学生编号、就餐类别、消费金额。 （2）算法加工步骤： 第一步，对采集到的原始数据进行去重、脱敏； 第二步，计算近一周每餐平均消费金额Ca：近一周每餐平均消费金额Ca=近一周每餐累计就餐消费金额Ci÷7； 第三步，对近一周就餐消费水平CL进行判定：①若近一周每餐平均消费金额Ca为6.00-8.00元，则判定为“低”；②若近一周每餐平均消费金额Ca为8.01-12.00元，则判定为“中”；③若近一周每餐平均消费金额Ca为12.01-16.00元，则判定为“高”。 2.预估每年存证30000条，数量质量情况良好。

This dataset assists Danzhou No.1 Middle School in timely grasping students' weekly meal consumption levels, providing auxiliary decision-making support for the school canteen management team to adjust ingredient procurement volumes, optimize canteen menus, and gain insights into students' financial circumstances based on predicted consumption levels. If a student's weekly meal consumption level is classified as "low", the school should appropriately adjust the canteen menu or provide targeted attention to the student; if the level is "medium" or "high", the school does not need to take any action.

1. Data Acquisition and Processing:
(1) Data Collection: With the authorization of the original data, daily meal consumption data of students from Danzhou No.1 Middle School is collected from the "5G Smart Food Safety Industrial IoT Digital Management Platform (SAAS)" operated by the institution, including date, student ID, meal category, and consumption amount.
(2) Algorithm Processing Steps:
Step 1: Perform deduplication and desensitization on the collected raw data;
Step 2: Calculate the average daily meal consumption amount Ca over the past week: Ca = total accumulated meal consumption amount Ci in the past week ÷ 7;
Step 3: Determine the weekly meal consumption level CL:
① If Ca ranges from 6.00 to 8.00 yuan, the level is judged as "low";
② If Ca ranges from 8.01 to 12.00 yuan, the level is judged as "medium";
③ If Ca ranges from 12.01 to 16.00 yuan, the level is judged as "high".

2. Archive Scale: It is estimated that 30,000 records will be archived annually, with satisfactory quantity and quality.

搜集汇总

数据集介绍

特点

该数据集记录了儋州一中学生一周食堂用餐的消费数据，包括日期、学生编号、就餐类别和消费金额等信息，通过算法计算平均消费金额并判定消费水平（低、中、高），用于辅助学校食堂管理和学生经济状况关注。数据规模547条，每日更新。