阿联酋地区手电钻出口金额分析数据
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通过采集本公司每年每个月生产的手电钻出口各个国家的出口金额,通过计算各个国家每个月出口金额的方差大小,以用来评价各个国家的出口情况,从而用于评估各区域所有企业的生产和出口策略,对于出口超平稳型国家,所有企业无需时时关注该国的行情,可每月保持好手电钻的生产和销售数量;对于出口一般平稳型国家,所有企业需每季度关注该国的行情,适当调整手电钻的生产和销售数量;而对于出口波动型国家,所有企业需每月时时关注该国行情,了解该国的销售行情变化,以适应大幅度调整手电钻的生产和销售数量变化。本行业所有企业可以通过往年数据了解本行业同产品在该国的销售行情,以平衡生产和出口数量。其他行业也可以通过对该国销售评价情况,合理调整生产和销售。 数据采集:记录公司手电钻外贸销售情况,并统计销售情况,根据出口国对销售量进行划分归类,从而将各年度每个月销售至不同出口国的出口金额,从一月至十二月依次用x1,x2...x12表示,并汇总计算得到各出口国当年的总出口金额x;数据计算:计算各出口国的月平均出口金额x̅=各出口国当年的总出口金额x/12。根据方差公式计算方差s2={(x1-x̅)^2+(x2-x̅)^2+(x3-x̅)^2+…+(x12-x̅)^2}/12,从而得到各出口国的月出口金额的方差s2大小。数据应用:当方差s2小于10评价该出口国为出口超平稳型国家。当方差s2大于等于10并且小于等于20评价该出口国为出口一般平稳型国家。当方差s2大于20评价该出口国为出口波动型国家。
This dataset is constructed by collecting the monthly export values of the company’s electric drills to various countries each year. The variance of the monthly export values for each country is calculated to evaluate the export performance of different destinations, which is further utilized to assess the production and export strategies of enterprises across regions. For export destinations with ultra-stable export performance, enterprises do not need to monitor their market conditions on a monthly basis, and can maintain consistent production and sales volumes of electric drills each month. For export destinations with generally stable export performance, enterprises need to monitor their market conditions quarterly and make appropriate adjustments to the production and sales volumes of electric drills. For export destinations with volatile export performance, enterprises must closely monitor their market conditions monthly to grasp changes in local sales trends, so as to make substantial adjustments to the production and sales volumes of electric drills. Enterprises across the entire industry can use historical data to understand the sales performance of the same product in these countries, thereby balancing their production and export quantities. Enterprises from other industries can also reasonably adjust their production and sales operations based on the sales evaluation results of these countries. Data Collection: Record the foreign trade sales status of the company’s electric drills, conduct statistical analysis, and classify the sales data according to the export destinations. The monthly export values to different countries from January to December of each year are denoted as x1, x2, ..., x12 respectively, and the total annual export value to each export destination in the current year is aggregated as x. Data Calculation: Calculate the monthly average export value for each export destination as x̄ = x / 12. The variance s² of the monthly export values is calculated using the standard variance formula: s² = [(x1 - x̄)² + (x2 - x̄)² + (x3 - x̄)² + … + (x12 - x̄)²] / 12, thus obtaining the variance s² of the monthly export values for each export destination. Data Application: Export destinations are categorized into three types based on the calculated variance s²: 1) Ultra-stable export type, when s² < 10; 2) Generally stable export type, when 10 ≤ s² ≤ 20; 3) Volatile export type, when s² > 20.




