通过表3，我们可以计算各县市(区)在三大主成分F1。一F3。中的得分。

通过表3，我们可以计算各县市(区)在三大主成分F1。一F3。中的得分。如果该县市(区)在某一主成分的得分为正数，表示其在平均水平之上；反之，表示其在平均水平之下。为综合评价各主成分对就业流动人口空间分布的影响，定义主成分综合得分为F=O．226*F1+O．223*F2+0．215*F3，得到各县市(区)的综合主成分F 的得分及排序，其值越大，表示其对就业流动人口的吸引力越为强烈，反之则越弱。

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结果 (英语) 1: [复制]

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Through Table 3, we can calculate the three principal components F1 in each county (district). One F3. In the score. If the score of a principal component of the county (city) is positive, it means that it is above the average level; otherwise, it means that it is below the average level. In order to comprehensively evaluate the influence of each principal component on the spatial distribution of employment floating population, the comprehensive score of principal component is defined as F = O. 226 * F1 + O. 223 * F2 + 0.215 * F3, get the score and ranking of the comprehensive principal component F of each county (district). The larger the value, the stronger the attractiveness to the floating migrants, and the weaker the converse.

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结果 (英语) 2:[复制]

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Through Table 3, we can calculate each county (district) in the three main components F1. One F3. the score in . If the county (district) scored a positive number on a primary component, it would mean it was above the average; In order to evaluate the influence of each main component on the spatial distribution of employment floating population, the comprehensive score of the main component is defined as F. 226 sF1-O. 223 x F2 s 0. 215-F3, get the county and city (district) of the comprehensive main component F score and ranking, the greater its value, indicating that its attractiveness to the employment of the floating population is stronger, and the weaker the opposite.

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结果 (英语) 3:[复制]

复制成功！

Through table 3, we can calculate the three main components F1 of each county (District). 1. F3. Score in. If the score of the county (District) in a principal component is positive, it means that it is above the average level; otherwise, it means that it is below the average level. In order to comprehensively evaluate the influence of each principal component on the spatial distribution of the employment floating population, the comprehensive score of the principal component is defined as F = o.226 * F1 + o.223 * F2 + 0.215 * F3, and the score and ranking of the comprehensive principal component F of each county (District) are obtained. The larger the value is, the stronger the attraction to the employment floating population is, and vice versa.<br>

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