空气质量数据校准的探索性数据分析.pdf

空气质量数据校准的探索性数据分析 数 161203105382 2020 的空气质量数据校准的探索性数 据分析的的 的的 数据 2020 空气质量数据校准的探索性数据分析 的的 的的 的气空气质量的分析2018 11 14 2019 6 11 数据空气质量 6 数据 性性的数据数据 分量量数据6 性 校准的气数据() 数 的 探索性分析 空气质量 性 性 2020 Exploratorydata analysis for air qualitydatacalibration Abstract Withtheaccelerationofurbanizationandindustrializationandthecontinuousimprovement of peoples living standards, the pace of life is getting faster and faster. The fast-paced lifestyle is bound to have some side effects on the environment, such as the exhaust gas generated by the cars driven by office workers. Make people more and more attention on theissueofairquality,thisarticlethroughtheanalysisonNovember14,2018toJune2019, 11 countries control point and self-built point data, found that the air quality index mainly includePM2.5andPM10,CO,SO2,NO2andO3this6items,andwhethertogoabroadto findcontrolpointsandself-builtdatahasrelevance,andthroughmultiplelinearregression method to establish model, the control point data as output, self-built point data as input, thedependentvariableandindependentvariable,respectively,Sixmultiplelinearregression modelswereestablishedtocalibratethetwodustandfourgasdataoftheself-builtpoints byusingthecountrycontroldata,andthedeviationbetweenthepredictedvalueandthereal value was detected by using the MSE(mean square error) function. The smaller the