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Design And Implement Of Data Visualization System Based On Declarative Interaction

Posted on:2018-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2348330512999430Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the advent of the information age,more and more information resources are in your reach.People produce a mass of data in production and life,resulting in an explosion of data growth.Data visualization is an essential method in data analysis.By data visualization,we can see data and its structure in a more intuitive way.And data visualization can assist our decision-making.Based on the above observations,this paper makes a deep research on the data visualization technology,proposes and realizes the data visualization system to rapidly generate the interactive graph which user expect.This paper presents and solves two technical problems in data visualization:one is how to convert the data into an interactive graph,and enables user to achieve a highly personalized customization of the graph in a simple way.The other is how to describe the desired interaction in the system,and how to implement feedback of user interaction.In order to solve the first problem,this paper describes the structure of graph based on the grammar of graph,and generates graph view.In addition,this paper proposes a theme model to meet the user highly customized requirements.To the problem of user interaction,this paper proposes a declarative interactive strategy to declare user interaction using a description that is similar to natural language.To realize interaction,this paper proposes an event flow model to model the various events that occur in the graph,and implements the event processing model to analyze user interaction.Ultimately,the interactive results will be fed back to the user.As a subsystem of NetEase Agile Business Intelligence Platform,the data visualization system has been fully tested for its interoperability and personalization,and lays a good foundation in exploring the rule and meaning of data.
Keywords/Search Tags:Data Visualization, Declarative Interaction, Event Flow Model, Event Handling
PDF Full Text Request
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