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Related Work
- Nov 3, 2017 Rapid Sampling for Visualizations with Ordering Guarantees, VLDB 2015, http://www.vldb.org/pvldb/vol8/p521-kim.pdf
- Nov 3, 2017 A Fast Graphical Javascript Library: Desk.gl https://uber.github.io/deck.gl/#/ by Qiushi
- Oct 18, 2017 Introduce Incrementally visualization algorithms (I’ve Seen “Enough”: Incrementally Improving Visualizations to Support Rapid Decision Making) by Hao
- Oct 11, 2017 Introduce Hashedcubes paper (Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data) by Te-Yu
- Oct 6, 2017 Introduce Tableau paper (On Improving User Response Times in Tableau, SIGMOD 2015) by Taewoo
- Sep 29, 2017 Introduce Kylin by Jianfeng
Massive data visualization analysis - analysis of current visualization techniques and main challenges for the future
Download link: https://ieeexplore.ieee.org/abstract/document/7975704
This paper lists a few big data viz tools including D3, Tableau and so on. Those tools introduced in the paper that we are not that familiar with are:
- Google Fusion Tables. This is a good introduction video about it: https://www.youtube.com/watch?v=5l7IyS3u4w8 . It will be discontinued soon (https://support.google.com/fusiontables/answer/9185417?hl=en).
- Quadrigam. A data viz company somehow similar to Tableau but it is based on Spain. It’s interactive. Demos are at http://www.quadrigram.com/gallery/
- Datawrapper. Similar to Tableau and Quadrigam. Demos are at https://www.datawrapper.de/
Though the above tools are claimed to be for big data, in fact, it is still static and small compared to what we want to do.
For example, the above tools focus on the rendering part. The input could be the number of people in each country which is stored in an Excel file, and then a heat map or count map is generated accordingly. And our target is to analyze dynamic data based on the fact that people are born and die every day, and we want to know the number of people born in each town each week.
Ma, Kwan-Liu, and Chris W. Muelder. "Large-scale graph visualization and analytics." Computer 46.7 (2013): 39-46. Linke: https://ieeexplore.ieee.org/abstract/document/6576786
This paper introduces a few key topics in the area of big graph visualization. People are working on new algorithms and developing new tools, however, we didn't find an integrated tool (ideally with a webpage UI) to render real-time and dynamic big graph.