Democratizing Details-on-demand Data Visualizations at Scale
Details-on-demand is a powerful interaction paradigm which features the use of simple mouse interactions such as pan and zoom to help the viewer navigate through a large data space. In the past years, we have witnessed an increasing amount of data visualization applications that embrace this paradig...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139012 |
| _version_ | 1826205338196508672 |
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| author | Tao, Wenbo |
| author2 | Stonebraker, Michael |
| author_facet | Stonebraker, Michael Tao, Wenbo |
| author_sort | Tao, Wenbo |
| collection | MIT |
| description | Details-on-demand is a powerful interaction paradigm which features the use of simple mouse interactions such as pan and zoom to help the viewer navigate through a large data space. In the past years, we have witnessed an increasing amount of data visualization applications that embrace this paradigm to facilitate data exploration and analysis. Web maps are a clear example. However, due to the highly specialized nature of these applications as well as the lack of general scalable toolkits, building new details-on-demand data visualizations remains hard especially for large datasets. This thesis proposes new tools and systems to “democratize” details-on-demand-based data visualizations, i.e., to make it much easier to build such applications at scale. The main approach is to offer declarative data visualization languages for developers to author applications in small amounts of code, and work with a database backend to transparently handle the rendering and performance optimizations needed to enable fluid interactions on large datasets. |
| first_indexed | 2024-09-23T13:11:25Z |
| format | Thesis |
| id | mit-1721.1/139012 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:11:25Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1390122022-01-15T03:28:31Z Democratizing Details-on-demand Data Visualizations at Scale Tao, Wenbo Stonebraker, Michael Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Details-on-demand is a powerful interaction paradigm which features the use of simple mouse interactions such as pan and zoom to help the viewer navigate through a large data space. In the past years, we have witnessed an increasing amount of data visualization applications that embrace this paradigm to facilitate data exploration and analysis. Web maps are a clear example. However, due to the highly specialized nature of these applications as well as the lack of general scalable toolkits, building new details-on-demand data visualizations remains hard especially for large datasets. This thesis proposes new tools and systems to “democratize” details-on-demand-based data visualizations, i.e., to make it much easier to build such applications at scale. The main approach is to offer declarative data visualization languages for developers to author applications in small amounts of code, and work with a database backend to transparently handle the rendering and performance optimizations needed to enable fluid interactions on large datasets. Ph.D. 2022-01-14T14:44:33Z 2022-01-14T14:44:33Z 2021-06 2021-06-23T19:40:46.193Z Thesis https://hdl.handle.net/1721.1/139012 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Tao, Wenbo Democratizing Details-on-demand Data Visualizations at Scale |
| title | Democratizing Details-on-demand Data Visualizations at Scale |
| title_full | Democratizing Details-on-demand Data Visualizations at Scale |
| title_fullStr | Democratizing Details-on-demand Data Visualizations at Scale |
| title_full_unstemmed | Democratizing Details-on-demand Data Visualizations at Scale |
| title_short | Democratizing Details-on-demand Data Visualizations at Scale |
| title_sort | democratizing details on demand data visualizations at scale |
| url | https://hdl.handle.net/1721.1/139012 |
| work_keys_str_mv | AT taowenbo democratizingdetailsondemanddatavisualizationsatscale |