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DeepEye: Creating Good Data Visualizations by Keyword Search

Published: 27 May 2018 Publication History

Abstract

Creating good visualizations for ordinary users is hard, even with the help of the state-of-the-art interactive data visualization tools, such as Tableau, Qlik, because they require the users to understand the data and visualizations very well. DeepEye is an innovative visualization system that aims at helping everyone create good visualizations simply like a Google search. Given a dataset and a keyword query, DeepEye understands the query intent, generates and ranks good visualizations. The user can pick the one she likes and do a further faceted navigation to easily navigate the candidate visualizations. In this demonstration, the attendees will have the opportunity to experience the following features: (1) visualization recommendation -- Our system can automatically recommends meaningful visualizations by learning from existing known datasets and good visualizations; (2) keyword search -- The attendee can pose text queries for specifying what visualizations she wants (e.g., trends) without specifying how to generate them; (3) faceted navigation -- One can further refine the results by a click-based faceted navigation to find other relevant and interesting visualizations.

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Published In

cover image ACM Conferences
SIGMOD '18: Proceedings of the 2018 International Conference on Management of Data
May 2018
1874 pages
ISBN:9781450347037
DOI:10.1145/3183713
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 27 May 2018

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Author Tags

  1. data visualization
  2. faceted navigation
  3. keyword-based visualization search
  4. visualization recommendation

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SIGMOD/PODS '18
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SIGMOD '18 Paper Acceptance Rate 90 of 461 submissions, 20%;
Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

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  • (2024)Fundamentals of Data Visualization and Its Applications in BusinessData Visualization Tools for Business Applications10.4018/979-8-3693-6537-3.ch001(1-28)Online publication date: 13-Sep-2024
  • (2024)Generative AI for VisualizationGenerative AI for Web Engineering Models10.4018/979-8-3693-3703-5.ch003(63-82)Online publication date: 27-Sep-2024
  • (2024)TaskFinder: A Semantics-Based Methodology for Visualization Task RecommendationAnalytics10.3390/analytics30300153:3(255-275)Online publication date: 4-Jul-2024
  • (2024)The Dawn of Natural Language to SQL: Are We Fully Ready?Proceedings of the VLDB Endowment10.14778/3681954.368200317:11(3318-3331)Online publication date: 30-Aug-2024
  • (2024)HAIChart: Human and AI Paired Visualization SystemProceedings of the VLDB Endowment10.14778/3681954.368199217:11(3178-3191)Online publication date: 1-Jul-2024
  • (2024)Automated Data Visualization from Natural Language via Large Language Models: An Exploratory StudyProceedings of the ACM on Management of Data10.1145/36549922:3(1-28)Online publication date: 30-May-2024
  • (2024)Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language ConversationsProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671935(2733-2744)Online publication date: 25-Aug-2024
  • (2024)DynaVis: Dynamically Synthesized UI Widgets for Visualization EditingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642639(1-17)Online publication date: 11-May-2024
  • (2024)CoInsight: Visual Storytelling for Hierarchical Tables With Connected InsightsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.338855330:6(3049-3061)Online publication date: Jun-2024
  • (2024)Natural Language Interfaces for Tabular Data Querying and Visualization: A SurveyIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.340082436:11(6699-6718)Online publication date: Nov-2024
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