a webmulti-variatema pp in gmethodbasedonmashu p

forthep ur p oseofsolvin gthearran g ementandre p resentationp roblemsinmultivariatewebma pp in g,firstl y,theresearchstatusofthevisualizationandma pp in gmethodsformultivariatewebdataareanal y zed,afterthat,thedemandandcharacteristicsofmulti-variatema pp in gdataforthewebenvironmentareinvesti g ated,andthenthearran g ementofthemulti-variatewebma pp in gdataandthevisualizationstrate gyisdiscussedindetail.basedonthep reviousresearch，amulti-variatewebma p-p in gmethodusin gmashu p sisintroducedfromas p ectsoftheor y,strate gyandtechnolo gy.ap roto-t yp es y stemdesi g nedformulti-variatewebma pp in gwasdevelo p ed,andthep rotot yp es y stemwasa p-p liedtorelatedresource-3satelliteima g ema pp in gp ro g rams，thesuccessfulimp lementationofthemethodshowsthat itcanimp rovema pp in gefficienc yandthere p resentationeffect inmulti-variatewebma pp in g.