1、!#$%&(!#$%&()*+,(-./)*+,(-./0123456701234567!Email:#$%&()*+,-./01234567258395:https:/ VIS Design Process0202/0123456/0123456Multi-dimensional Ranking and Projection0303789:%;789:%;Warehouse Selection in Logistics Scenarios0404789:%?A*789:%?A*Route Optimization in Logistics Scenarios!CONTENTCONTENT|#
2、$%&(#$%&()*+,-.*+,-./0/0User-Centric VIS Design Process01|#$Visualization|n!#$%&()*+,-./n012345%&6789:;?AnBCDEFGHIEJ5KLnAIM&NO%&PQRS7T/6UVEWX%&7!#YZ5_n!abcdeUP+fg#hijEklm4nopq%&onTableau$+rabs%&!#tu,v7+wxyzGH|5n%&!#52022/6/11490%$()PIPELINE OF VISUALIZATION IN THE 1990SEngineering PartArt Part2022
3、/6/115*$()PIPELINE OF VISUALIZATION IN THE 2000SHow to involve human in theanalysis loop?What are efficient userinteractions and interfaces?What knowledge can be attainedand conveyed from thevisualizations?2022/6/116+,-./0#$User-Centric Visualization2022/6/1172022/6/118Crisan,A.,Fiore-Gartland,B.a
4、nd Tory,M.,2020.Passing the Data Baton:A Retrospective Analysis on Data Science Work and Workers.IEEE Transactions on Visualization and Computer Graphics,27(2),pp.1860-1870.1234,-53467Understanding Users&Usage Scenarios2022/6/11989:;?ABCExplore Data,Task,and Design SpaceData SourcesTabular,corpora,n
5、otebookData CharacteristicsNumber,text,image,audio,videoTemporal,spatial,categorical,numericalStructured,unstructuredArchived,real-timeData FactsValue,distribution,difference,extremeLow-level Analytic TasksRetrieve ValueFilterCompute Derived ValueFind ExtremeSortDetermine RangeCharacterize Distribut
6、ionFind AnomaliesClusterCorrelateChen,Y.,Yang,J.and Ribarsky,W.,2009,April.Toward effective insight management in visual analytics systems.In 2009 IEEE Pacific Visualization Symposium(pp.49-56).IEEE.Amar,R.,Eagan,J.and Stasko,J.,2005,October.Low-levelcomponents of analytic activity in information vi