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Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document.
Sketchpad: A man-machine graphical communication system
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Sketching a graph to query a time-series database
M. Wattenberg · 2001
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QueryLines: Approximate query for visual browsing
K. Ryall, N. Lesh, T. Lanning, D. Leigh, H. Miyashita, and S. Makino · 2005
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CINCH: A cooperatively designed marking interface for 3d pathway selection
D. Akers · 2006
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Getting the design right and the right design
M. Tohidi, W. Buxton, R. Baecker, and A. Sellen · 2006
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Relaxed selection techniques for querying time-series graphs
C. Holz and S. Feiner · 2009
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NapkinVis: Rapid pen-centric authoring of improvisational visualizations
W. O. Chao, T. Munzner, and M. Panne · 2010
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J. Browne, B. Lee, S. Carpendale, N. Riche, and T. Sherwood · 2011
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How do humans sketch objects?
M. Eitz, J. Hays, and M. Alexa · 2012
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Understanding pen and touch interaction for data exploration on interactive whiteboards
J. Walny, B. Lee, P. Johns, N. H. Riche, and S. Carpendale · 2012
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SketchStory: Telling more engaging stories with data through freeform sketching
B. Lee, R. H. Kazi, and G. Smith · 2013
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Extracting references between text and charts via crowdsourcing
N. Kong, M. A. Hearst, and M. Agrawala · 2014
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Voyager 2: Augmenting visual analysis with partial view specifications
K. Wongsuphasawat, Z. Qu, D. Moritz, R. Chang, F. Ouk, A. Anand, J. Mackinlay, B. Howe, and J. Heer · 2017
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Forte: User-driven generative design
X. A. Chen, Y. Tao, G. Wang, R. Kang, T. Grossman, S. Coros, and S. E. Hudson · 2018
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Exploration and explanation in computational notebooks
A. Rule, A. Tabard, and J. D. Hollan · 2018
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Augmenting visualizations with interactive data facts to facilitate interpretation and communication
A. Srinivasan, S. M. Drucker, A. Endert, and J. Stasko · 2018
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Guidelines for Human-AI interaction
S. Amershi, D. S. Weld, M. Vorvoreanu, A. Fourney, B. Nushi, P. Collisson, J. Suh, S. T. Iqbal, P. N. Bennett, K. Inkpen, J. Teevan, R. Kikin-Gil, and E. Horvitz · 2019
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Text-to-Viz: Automatic generation of infographics from proportion-related natural language statements
W. Cui, X. Zhang, Y. Wang, H. Huang, B. Chen, L. Fang, H. Zhang, J.-G. Lou, and D. Zhang · 2019
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QuickInsights: Quick and automatic discovery of insights from multi-dimensional data
R. Ding, S. Han, Y. Xu, H. Zhang, and D. Zhang · 2019
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Inking your insights: Investigating digital externalization behaviors during data analysis
Y.-S. Kim, N. Henry Riche, B. Lee, M. Brehmer, M. Pahud, K. Hinckley, and J. Hullman · 2019
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Avoiding drill-down fallacies with VisPilot: Assisted exploration of data subsets
D. J.-L. Lee, H. Dev, H. Hu, H. Elmeleegy, and A. Parameswaran · 2019
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Datashot: Automatic generation of fact sheets from tabular data
Y. Wang, Z. Sun, H. Zhang, W. Cui, K. Xu, X. Ma, and D. Zhang · 2019
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FlowSense: A natural language interface for visual data exploration within a dataflow system
B. Yu and C. T. Silva · 2019
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What’s wrong with computational notebooks? Pain points, needs, and design opportunities
S. Chattopadhyay, I. Prasad, A. Z. Henley, A. Sarma, and T. Barik · 2020
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AutoCaption: An approach to generate natural language description from visualization automatically
C. Liu, L. Xie, Y. Han, D. Wei, and X. Yuan · 2020
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Intentable: A mixed-initiative system for intent-based chart captioning
J. Choi and J. Jo · 2022
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TaleBrush: sketching stories with generative pretrained language models
J. J. Y. Chung, W. Kim, K. M. Yoo, H. Lee, E. Adar, and M. Chang · 2022
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Leveraging analysis history for improved in-situ visualization recommendation
W. Epperson, D. J.-L. Lee, L. Wang, K. Agarwal, A. G. Parameswaran, D. Moritz, and A. Perer · 2022
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Chart-to-Text: A large-scale benchmark for chart summarization
S. Kantharaj, R. T. Leong, X. Lin, A. Masry, M. Thakkar, E. Hoque, and S. Joty · 2022
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ChartVi: Charts summarizer for visually impaired
P. Mishra, S. Kumar, M. K. Chaube, and U. Shrawankar · 2022
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MEDLEY: Intent-based recommendations to support dashboard composition
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A. Narechania, A. Srinivasan, and J. Stasko · 2020
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Chart-to-Text: Generating natural language descriptions for charts by adapting the transformer model
J. Obeid and E. Hoque · 2020
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Calliope: Automatic visual data story generation from a spreadsheet
D. Shi, X. Xu, F. Sun, Y. Shi, and N. Cao · 2020
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ShapeSearch: A flexible and efficient system for shape-based exploration of trendlines
T. Siddiqui, P. Luh, Z. Wang, K. Karahalios, and A. Parameswaran · 2020
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B2: Bridging code and interactive visualization in computational notebooks
Y. Wu, J. M. Hellerstein, and A. Satyanarayan · 2020
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Kori: Interactive synthesis of text and charts in data documents
S. Latif, Z. Zhou, Y. Kim, F. Beck, and N. W. Kim · 2021
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Lux: Always-on visualization recommendations for exploratory dataframe workflows
D. J.-L. Lee, D. Tang, K. Agarwal, T. Boonmark, C. Chen, J. Kang, U. Mukhopadhyay, J. Song, M. Yong, M. A. Hearst, and A. G. Parameswaran · 2021
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A. Pandey, A. Srinivasan, and V. Setlur · 2022
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Documentation Matters: Human-centered AI system to assist data science code documentation in computational notebooks
A. Y. Wang, D. Wang, J. Drozdal, M. Muller, S. Park, J. D. Weisz, X. Liu, L. Wu, and C. Dugan · 2022
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Towards natural language-based visualization authoring
Y. Wang, Z. Hou, L. Shen, T. Wu, J. Wang, H. Huang, H. Zhang, and D. Zhang · 2022
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Telling stories from computational notebooks: Ai-assisted presentation slides creation for presenting data science work
C. Zheng, D. Wang, A. Y. Wang, and X. Ma · 2022
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https://platform.openai.com/docs/models/gpt-3-5
GPT-3.5 · 2023
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https://online.stat.psu.edu/stat200/lesson/3/3.2
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Posit · 2023
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H. Li, Y. Wang, Q. V. Liao, and H. Qu · 2023
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Notable: On-the-fly assistant for data storytelling in computational notebooks
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Dashboard design mining and recommendation
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GVQA: Learning to answer questions about graphs with visualizations via knowledge base
S. Song, J. Chen, C. Li, and C. Wang · 2023
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Slide4N: Creating presentation slides from computational notebooks with Human-AI collaboration
F. Wang, X. Liu, O. Liu, A. Neshati, T. Ma, M. Zhu, and J. Zhao · 2023
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