事实上，它被认为是一种奖励当主成分变量实际上可以被破译。

In fact, it is considered to be a bonus when the principal component variables can actually be interpreted.

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横截面数据：成分数据只测量一次。这展示你的变量在一个时间点的快照（如：市场调查）。

Cross-Sectional: The sample of elements is measured only once. This shows you a snapshot of variables at a point in time (e. g. , market survey).

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并对影响城市空气质量的5个主要因素进行主成分分析，找出最能代表原来数据信息的2至3个因子代替原来的5个变量。

Then 5 main factors affecting urban air quality to principal component analysis identify the most representative of the original data instead of the 2 to 3 factors 5 variables.

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