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Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook

Published: 11 June 2022 Publication History

Abstract

We demonstrate PI2, the first notebook extension that can automatically generate interactive visualization interfaces during SQL-based analyses.

References

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2021. Hex Technologies. https://hex.tech/.
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2021. A Jupyter kernel for SQLite. https://github.com/jupyter-xeus/xeus-sql.
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2021. SQL Notebook. https://sqlnotebook.com/.
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Yiru Chen and Eugene Wu. 2020. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces. In AAAI Intelligent Process Automation Workshop.
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Yiru Chen and Eugene Wu. 2021. PI2: End-to-end Interactive Visualization Interface Generation from Queries. CoRR abs/2107.08203 (2021). arXiv:2107.08203
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B Granger and J Grout. 2016. JupyterLab: Building blocks for interactive computing. Slides of presentation made at SciPy (2016).
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Donald Ervin Knuth. 1984. Literate programming. The computer journal 27, 2 (1984), 97--111.
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Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal, et al. 20. Lux: Always-on Visualization Recommendations for Exploratory Data Science. VLDB (20).
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SDSS. 2021. Sloan Digital Sky Survey, 2017. http://www.sdss.org/.
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Edward Segel and Jeffrey Heer. 2010. Narrative visualization: Telling stories with data. IEEE transactions on visualization and computer graphics 16, 6 (2010).

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  • (2022)PI2: End-to-end Interactive Visualization Interface Generation from QueriesProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526166(1711-1725)Online publication date: 10-Jun-2022

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Published In

cover image ACM Conferences
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data
June 2022
2597 pages
ISBN:9781450392495
DOI:10.1145/3514221
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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 June 2022

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Author Tags

  1. data visualization
  2. database usability
  3. interface generation
  4. notebook analysis

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  • Short-paper

Funding Sources

  • NSF

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SIGMOD/PODS '22
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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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  • (2022)PI2: End-to-end Interactive Visualization Interface Generation from QueriesProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526166(1711-1725)Online publication date: 10-Jun-2022

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