TY - GEN
T1 - Mobile-friendly and streaming web-based data visualization
AU - Chi, Li Jung
AU - Huang, Chi Hsuan
AU - Chuang, Kun Ta
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/16
Y1 - 2017/3/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85017654108&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017654108&partnerID=8YFLogxK
U2 - 10.1109/TAAI.2016.7880163
DO - 10.1109/TAAI.2016.7880163
M3 - Conference contribution
AN - SCOPUS:85017654108
T3 - TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
SP - 124
EP - 129
BT - TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
Y2 - 25 November 2016 through 27 November 2016
ER -