Mobile-friendly and streaming web-based data visualization

Li Jung Chi, Chi Hsuan Huang, Kun Ta Chuang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

We in this paper introduce a novel data visualization package, called the ADD framework, to support responsive and adaptive data-driven visualization. Currently, interactive data visualization, which is generally achieved by Javascript-based libraries such as D3.js, cannot be easily manipulated as the responsive way like the RWD principle in the CSS design. Visualization of abundant information becomes challenging while switching between the desktop view or the mobile view. To ease of code maintenance and to get rid of coding complication for diversified screen resolution, we incorporate advantages from React and D3.js. The main contribution of the ADD framework, released as an open-source library, is to facilitate the development of data manipulation and visualization in the responsive way, pursuing better user mobile experience. In addition, we also present the future direction of developing websocket-based streaming data loader for Javascript, to enable the seamless update of JSON data in the web page without user re-click. Currently, the ADD framework is open source and the streaming data loader will be released soon as the same way.

原文English
主出版物標題TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面124-129
頁數6
ISBN(電子)9781509057320
DOIs
出版狀態Published - 2017 三月 16
事件2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan
持續時間: 2016 十一月 252016 十一月 27

出版系列

名字TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

Other

Other2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
國家/地區Taiwan
城市Hsinchu
期間16-11-2516-11-27

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 控制和優化
  • 資訊系統

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