Fetching the paper…
Reading the bibliography…
Data analysts often need to iterate between data transformations and chart designs to create rich visualizations for exploratory data analysis.
Why and where: A characterization of data provenance. In Database Theory—ICDT 2001: 8th International Conference London, UK, January 4–6, 2001 Proceedings 8 . Springer, 316–330
Peter Buneman, Sanjeev Khanna, and Tan Wang-Chiew. 2001 · 2001
Earlier work this paper cites.
Potter’s Wheel: An Interactive Data Cleaning System. In VLDB 2001, Proceedings of 27th International Conference on Very Large Data Bases, September 11-14, 2001, Roma, Italy , Peter M. G. Apers, Paolo Atzeni, Stefano Ceri, Stefano Paraboschi, Kotagiri Ramamohanarao, and Richard T. Snodgrass (Eds.). Morgan Kaufmann, 381–390
Vijayshankar Raman and Joseph M. Hellerstein. 2001 · 2001
Earlier work this paper cites.
Query, analysis, and visualization of hierarchically structured data using Polaris. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada . ACM, 112–122
Chris Stolte, Diane Tang, and Pat Hanrahan. 2002 · 2002
Earlier work this paper cites.
The Grammar of Graphics, Second Edition
Leland Wilkinson. 2005 · 2005
Earlier work this paper cites.
Investigating behavioral variability in web search. In Proceedings of the 16th international conference on World Wide Web . 21–30
Ryen W White and Steven M Drucker. 2007 · 2007
Earlier work this paper cites.
Graphical histories for visualization: Supporting analysis, communication, and evaluation
Jeffrey Heer, Jock Mackinlay, Chris Stolte, and Maneesh Agrawala. 2008 · 2008
Earlier work this paper cites.
ggplot2 - Elegant Graphics for Data Analysis
Hadley Wickham. 2009 · 2009
Earlier work this paper cites.
D 3 Data-Driven Documents
Michael Bostock, Vadim Ogievetsky, and Jeffrey Heer. 2011 · 2011
Earlier work this paper cites.
Wrangler: Interactive visual specification of data transformation scripts. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) . 3363–3372
Sean Kandel, Andreas Paepcke, Joseph Hellerstein, and Jeffrey Heer. 2011 · 2011
Earlier work this paper cites.
Lyra: An interactive visualization design environment
A. Satyanarayan and J. Heer. 2014 · 2014
Earlier work this paper cites.
Tidy data
Hadley Wickham. 2014 · 2014
Earlier work this paper cites.
DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, UIST 2015, Charlotte, NC, USA, November 8-11, 2015 , Celine Latulipe, Bjoern Hartmann, and Tovi Grossman (Eds.). ACM, 489–500
Tong Gao, Mira Dontcheva, Eytan Adar, Zhicheng Liu, and Karrie G. Karahalios. 2015 · 2015
Earlier work this paper cites.
FlashMeta: a framework for inductive program synthesis. In Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA 2015, Pittsburgh, PA, USA, October 25-30, 2015 , Jonathan Aldrich and Patrick Eugster (Eds.). ACM, 107–126
Oleksandr Polozov and Sumit Gulwani. 2015 · 2015
Earlier work this paper cites.
Vega-Lite: A grammar of interactive graphics
Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, and Jeffrey Heer. 2017 · 2016
Earlier work this paper cites.
Foofah: Transforming Data By Example. In SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 , Semih Salihoglu, Wenchao Zhou, Rada Chirkova, Jun Yang, and Dan Suciu (Eds.). ACM, 683–698
Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, and H. V. Jagadish. 2017 · 2017
Earlier work this paper cites.
Variolite: Supporting Exploratory Programming by Data Scientists.. In CHI , Vol. 10. 3025453–3025626
Mary Beth Kery, Amber Horvath, and Brad A Myers. 2017 · 2017
Earlier work this paper cites.
Graphscape: A model for automated reasoning about visualization similarity and sequencing. In Proceedings of the 2017 CHI conference on human factors in computing systems . 2628–2638
Younghoon Kim, Kanit Wongsuphasawat, Jessica Hullman, and Jeffrey Heer. 2017 · 2017
Earlier work this paper cites.
Chartaccent: Annotation for data-driven storytelling. In 2017 IEEE Pacific Visualization Symposium (PacificVis) . Ieee, 230–239
Donghao Ren, Matthew Brehmer, Bongshin Lee, Tobias Höllerer, and Eun Kyoung Choe. 2017 · 2017
Earlier work this paper cites.
Voyager 2: Augmenting Visual Analysis with Partial View Specifications. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17) . Association for Computing Machinery, New York, NY, USA, 2648–2659
Kanit Wongsuphasawat, Zening Qu, Dominik Moritz, Riley Chang, Felix Ouk, Anushka Anand, Jock Mackinlay, Bill Howe, and Jeffrey Heer. 2017 · 2017
Earlier work this paper cites.
Data Illustrator: Augmenting Vector Design Tools with Lazy Data Binding for Expressive Visualization Authoring. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) . 123:1–13
Zhicheng Liu, John Thompson, Alan Wilson, Mira Dontcheva, James Delorey, Sam Grigg, Bernard Kerr, and John Stasko. 2018 · 2018
Earlier work this paper cites.
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco
Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, and Jeffrey Heer. 2019 · 2018
Earlier work this paper cites.
Charticulator: Interactive Construction of Bespoke Chart Layouts
Donghao Ren, Bongshin Lee, and Matthew Brehmer. 2019 · 2018
Earlier work this paper cites.
Reflecting on the Evaluation of Visualization Authoring Systems : Position Paper. In 2018 IEEE Evaluation and Beyond - Methodological Approaches for Visualization, BELIV 2018, Berlin, Germany, October 21, 2018 , Michael Sedlmair, Petra Isenberg, Miriah Meyer, and Tobias Isenberg (Eds.). IEEE Computer Society, 86–92
Donghao Ren, Bongshin Lee, Matthew Brehmer, and Nathalie Henry Riche. 2018 · 2018
Earlier work this paper cites.
Exploration and explanation in computational notebooks. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems . 1–12
Adam Rule, Aurélien Tabard, and James D Hollan. 2018 · 2018
Earlier work this paper cites.
Altair: Interactive Statistical Visualizations for Python
Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, and Scott Sievert. 2018 · 2018
Cited alongside, same era.
Data2vis: Automatic generation of data visualizations using sequence-to-sequence recurrent neural networks
Victor Dibia and Çağatay Demiralp. 2019 · 2019
Cited alongside, same era.
Managing messes in computational notebooks. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–12
Andrew Head, Fred Hohman, Titus Barik, Steven M Drucker, and Robert DeLine. 2019 · 2019
Cited alongside, same era.
Task-oriented optimal sequencing of visualization charts. In 2019 IEEE Visualization in Data Science (VDS) . IEEE, 58–66
Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, and Nan Cao. 2019 · 2019
Cited alongside, same era.
Welcome to the tidyverse
Hadley Wickham, Mara Averick, Jennifer Bryan, Winston Chang, Lucy McGowan, Romain François, Garrett Grolemund, Alex Hayes, Lionel Henry, Jim Hester, Max Kuhn, Thomas Pedersen, Evan Miller, Stephan Bache, Kirill Müller, Jeroen Ooms, David Robinson, Dana Seidel, Vitalie Spinu, Kohske Takahashi, Davis Vaughan, Claus Wilke, Kara Woo, and Hiroaki Yutani. 2019 · 2019
Interactive table synthesis with natural language
Yanwei Huang, Yunfan Zhou, Ran Chen, Changhao Pan, Xinhuan Shu, Di Weng, and Yingcai Wu. 2023 · 2023
Later among the works it cites.
DS-1000: A natural and reliable benchmark for data science code generation. In International Conference on Machine Learning . PMLR, 18319–18345
Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida Wang, and Tao Yu. 2023 · 2023
Later among the works it cites.
Chat2vis: Generating data visualisations via natural language using chatgpt, codex and gpt-3 large language models
Paula Maddigan and Teo Susnjak. 2023 · 2023
Later among the works it cites.
On the design of ai-powered code assistants for notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–16
Andrew M McNutt, Chenglong Wang, Robert A Deline, and Steven M Drucker. 2023 · 2023
Later among the works it cites.
Is Self-Repair a Silver Bullet for Code Generation?. In The Twelfth International Conference on Learning Representations
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Multi-modal synthesis of regular expressions. In Proceedings of the 41st ACM SIGPLAN conference on programming language design and implementation . 487–502
Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, and Isil Dillig. 2020 · 2020
Cited alongside, same era.
Mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’20) . Association for Computing Machinery, New York, NY, USA, 140–151
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, and Kayur Patel. 2020 · 2020
Cited alongside, same era.
NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries
Arpit Narechania, Arjun Srinivasan, and John T. Stasko. 2021 · 2020
Cited alongside, same era.
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows
Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, and Aditya G. Parameswaran. 2021 · 2021
Cited alongside, same era.
Atlas: Grammar-based Procedural Generation of Data Visualizations. In 2021 IEEE Visualization Conference, 2021 - Short Papers, New Orleans, LA, USA, October 24-29, 2021 . IEEE, 171–175
Zhicheng Liu, Chen Chen, Francisco Morales, and Yishan Zhao. 2021 · 2021
Cited alongside, same era.
Natural Language to Visualization by Neural Machine Translation
Yuyu Luo, Nan Tang, Guoliang Li, Jiawei Tang, Chengliang Chai, and Xuedi Qin. 2022 · 2021
Cited alongside, same era.
Theo X Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama. 2023 · 2023
Later among the works it cites.
pandas-dev/pandas: Pandas
The pandas development team. 2023 · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Later among the works it cites.
Data Formulator: Ai-powered concept-driven visualization authoring
Chenglong Wang, John Thompson, and Bongshin Lee. 2023 · 2023
Later among the works it cites.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
Later among the works it cites.
Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–21
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
Later among the works it cites.
Tell your model where to attend: Post-hoc attention steering for llms
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, and Tuo Zhao. 2023 · 2023
Later among the works it cites.
Viseval: A benchmark for data visualization in the era of large language models
Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, and Yuqing Yang. 2024 · 2024
Closest in time.
RULER: What’s the Real Context Size of Your Long-Context Language Models?
Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, and Boris Ginsburg. 2024 · 2024
Closest in time.
Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2024 · 2024
Closest in time.
Starcoder 2 and the stack v2: The next generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, et al · 2024
Closest in time.
Directgpt: A direct manipulation interface to interact with large language models. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–16
Damien Masson, Sylvain Malacria, Géry Casiez, and Daniel Vogel. 2024 · 2024
Closest in time.
OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, and Sam Altman et al. 2024 · 2024
Closest in time.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy Lillicrap, Jean-baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, et al · 2024
Closest in time.
The Metacognitive Demands and Opportunities of Generative AI. In Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024 , Florian ’Floyd’ Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe O. Toups Dugas, and Irina Shklovski (Eds.). ACM, 680:1–680:24
Lev Tankelevitch, Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar, Abigail Sellen, and Sean Rintel. 2024 · 2024
Closest in time.
Chartgpt: Leveraging llms to generate charts from abstract natural language
Yuan Tian, Weiwei Cui, Dazhen Deng, Xinjing Yi, Yurun Yang, Haidong Zhang, and Yingcai Wu. 2024 · 2024
Closest in time.
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–17
Priyan Vaithilingam, Elena L Glassman, Jeevana Priya Inala, and Chenglong Wang. 2024 · 2024
Closest in time.
Training Language Model Agents without Modifying Language Models
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, and Qingyun Wu. 2024 · 2024
Closest in time.
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, and Xiang Yue. 2024 · 2024
Closest in time.