通过使用主成分因素分析、相关分析等统计技术，笔者对问卷数据进行了逐一解读。

Survey data were analyzed by using a variety of descriptive and inferential statistics, including principal component analysis and correlation analysis.

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对其中的几个主要因素进行主成分分析，剔除权重最小的因素；

Then analysis several main factors use of principal component analysis algorithm, rejecting the factor with minimum weight.

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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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