LDR | | 00000nam u2200205 4500 |
001 | | 000000432266 |
005 | | 20200224115913 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781088312476 |
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▼a (MiAaPQ)AAI13897855 |
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▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Ren, Donghao. |
245 | 10 |
▼a Visualization Authoring for Data-Driven Storytelling. |
260 | |
▼a [S.l.]:
▼b University of California, Santa Barbara.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 255 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
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▼a Advisor: Hollerer, Tobias. |
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▼a Thesis (Ph.D.)--University of California, Santa Barbara, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a This item must not be added to any third party search indexes. |
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▼a Data-driven storytelling is the process of communicating insights and findings that are supported by data, forming a visualization-based narrative. However, most current visualization creation tools either only support fixed sets of designs or require an in-depth understanding of programming concepts. To enable non-programmers to create custom visualizations for data-driven storytelling, we design interactions and implement user interfaces for visualization authoring. In the first part of this dissertation, we introduce and evaluate a series of three visualization authoring tools using traditional user interfaces: (1) iVisDesigner, which uses a data-flow model and enables users to author visualizations by specifying mappings from data to graphics interactively |
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▼a School code: 0035. |
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▼a Computer science. |
690 | |
▼a 0984 |
710 | 20 |
▼a University of California, Santa Barbara.
▼b Computer Science. |
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▼t Dissertations Abstracts International
▼g 81-04B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0035 |
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▼a Ph.D. |
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▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491889
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
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▼a 202002
▼f 2020 |
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▼a ***1008102 |
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▼a E-BOOK |