Visualization of Online Datasets

DOI

10.2991/ijndc.2018.6.1.2How to use a DOI?

Keywords

Online datasets; Visualization; Browser Extensions; Data transformation; HTML

Abstract

As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even more significant as we immerse ourselves into the era of big data, leading to an economy heavily reliant on data mining and precise, meaningful visualizations. However, accuracy of information visualization techniques is heavily dependent on the knowledge and capabilities of users, leaving novices in many fields at a disadvantage. This is a challenging problem that has been inadequately addressed regardless of the influx in visualization tools. Therefore, this paper proposes a novel approach with a focus on online datasets, allowing users to automatically and accurately visualize datasets. Experiment results show that using a browser extension and specially created HTML tables containing custom attributes - stating the data attribute type - the approach is able to detect and present the most suitable visualizations at the click of a mouse. This proposed approach provides a means for novices to quickly and accurately visualize online datasets.

Copyright

Copyright © 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Christopher Johnston Downie
AU  - Taoxin Peng
PY  - 2018
DA  - 2018/01/02
TI  - Visualization of Online Datasets
JO  - International Journal of Networked and Distributed Computing
SP  - 11
EP  - 23
VL  - 6
IS  - 1
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2018.6.1.2
DO  - 10.2991/ijndc.2018.6.1.2
ID  - Downie2018
ER  -