Database updates using interactive Pan and Zoom visualizations
Name
1251779803-MIT.pdf
Size
2.11 MB
Format
Adobe PDF
Checksum (MD5)
06f7d078ed6fad727d3dad8987848d4f
Author(s)
Griggs, Peter,M. Eng.(Peter A.)Massachusetts Institute of Technology.
Advisor(s)
Michael Stonebraker.
Date Issued
2021
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 49-51).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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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.
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