俄罗斯地区冻半壳贻贝销量分析数据

通过公司内部外贸销售记录，将不同的出口销售订单以各出口国来划分，从而计算各个出口国每个月的销量，再计算出12个月的销量的方差大小，方差大小用来评价各出口国的销量情况，从而用于评估所有企业的生产和销售策略，所有企业可以通过该数据了解冻半壳贻贝在不同出口国的销售行情，以平衡生产和销售量。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：记录公司冻半壳贻贝外贸销售情况，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销量，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销售量x，数据计算：计算各出口国的月平均销售量x̅=各出口国当年的总销售量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销售量的方差s2大小。数据应用：当方差s2小于500评价该出口国为销量超平稳型。当方差s2大于等于500并且小于等于1000评价该出口国为销量一般平稳型。当方差s2大于1000评价该出口国为销量波动型。对于销量超平稳型，所有企业无需时时关注该国的行情，可每月保持好冻半壳贻贝的生产和销售数量；对于销量一般平稳型，所有企业需每季度关注该国的行情，适当调整冻半壳贻贝的生产和销售数量；而对于销量波动型，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，以适应大幅度调整冻半壳贻贝的生产和销售数量变化。

Based on the company's internal foreign trade sales records, export sales orders are categorized by their destination countries. First, calculate the monthly sales volume for each export destination country, then compute the variance of the 12-month sales series. The variance metric is used to evaluate the sales performance of each destination country, which supports the assessment of production and sales strategies across all enterprises. Enterprises can leverage this dataset to understand the sales trends of frozen half-shell mussels in different export markets, thereby balancing their production and sales volumes. Additionally, other industries can reasonably adjust their production and sales operations based on the sales evaluation results of target countries.

Data Collection: Record the foreign trade sales data of the company's frozen half-shell mussels and summarize the sales status. Classify the sales volume by export destination country, such that the monthly sales volume shipped to each country from January to December are denoted as x₁, x₂, …, x₁₂ in chronological order. Aggregate these monthly values to obtain the total annual sales volume x for each export destination country.

Data Calculation: Calculate the monthly average sales volume x̅ for each export destination country as x̅ = x / 12, where x is the total annual sales volume of the country. Compute the variance s² using the standard population variance formula: s² = [(x₁ - x̅)² + (x₂ - x̅)² + (x₃ - x̅)² + … + (x₁₂ - x̅)²] / 12, which yields the variance of the monthly sales volume for each export destination country.

Data Application: Export countries are classified into three categories based on their variance value:
1. Ultra-stable Sales Type: When s² < 500;
2. Generally Stable Sales Type: When 500 ≤ s² ≤ 1000;
3. Volatile Sales Type: When s² > 1000.

For Ultra-stable Sales Type countries, enterprises do not need to closely monitor local market conditions, and can maintain stable production and sales volumes of frozen half-shell mussels on a monthly basis. For Generally Stable Sales Type countries, enterprises should monitor local market conditions every quarter and make appropriate adjustments to the production and sales volumes of frozen half-shell mussels. For Volatile Sales Type countries, enterprises need to closely monitor local market conditions every month to track changes in sales trends, so as to make substantial adjustments to the production and sales volumes of frozen half-shell mussels.

搜集汇总

数据集介绍

特点

该数据集包含俄罗斯地区冻半壳贻贝的销量分析数据，涵盖各月份销量、总销量、平均销量和方差等关键指标，用于评估生产和销售策略。数据规模为790条，每年更新一次。