Database updates using interactive Pan and Zoom visualizations

As datasets continue to get larger, there is a great need for visualization systems that scale well while maintaining interactivity. Kyrix [1] is a system that helps developers create scalable pan and zoom visualizations. It combines visualization paradigms for good performance like data tiling and prefetching with a database backend that creates spatial indexes for faster querying. This thesis modifies Kyrix to support direct manipulation of datasets through a data visualization. We add bindings to the Kyrix specification that allow the developer to enable updates in a visualization. The user can then interact with the visualization and update the data in order to test a hypotheses, add new data, or fix a data error. We showcase this functionality by implementing three different types of Kyrix visualizations: an NBA timeline visualization, an election forecasting visualization, and a scatter plot visualization of NBA game scores. We report the update performance statistics for each of the demo visualizations and provide an evaluation of changes to the Kyrix specification language.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Griggs, Peter,M. Eng.(Peter A.)Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Michael Stonebraker.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/130689

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/130689