99 citations · 387 across the 20 of their papers we have counts for
20 papers
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt +2
Data analysis is challenging as analysts must navigate nuanced decisions that may yield divergent conclusions. AI assistants have the potential to support analysts in planning thei…
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco
Zehua Zeng, Junran Yang, Dominik Moritz +2
Findings from graphical perception can guide visualization recommendation algorithms in identifying effective visualization designs. However, existing algorithms use knowledge from…
EVM: Incorporating Model Checking into Exploratory Visual Analysis
Alex Kale, Ziyang Guo, Xiao Li Qiao +2
Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns. However, these tools seld…
Approximation and Progressive Display of Multiverse Analyses
Yang Liu, Tim Althoff, Jeffrey Heer
A multiverse analysis evaluates all combinations of "reasonable" analytic decisions to promote robustness and transparency, but can lead to a combinatorial explosion of analyses to…
Live, Rich, and Composable: Qualities for Programming Beyond Static Text
Joshua Horowitz, Jeffrey Heer
Efforts to push programming beyond static textual code have sought to imbue programming with multiple distinct qualities. One long-acknowledged quality is liveness: providing progr…
ScatterShot: Interactive In-context Example Curation for Text Transformation
Tongshuang Wu, Hua Shen, Daniel S. Weld +2
The in-context learning capabilities of LLMs like GPT-3 allow annotators to customize an LLM to their specific tasks with a small number of examples. However, users tend to include…
Cinematic Techniques in Narrative Visualization
Matthew Conlen, Jeffrey Heer, Hillary Mushkin +1
The many genres of narrative visualization (e.g. data comics, data videos) each offer a unique set of affordances and constraints. To better understand a genre that we call cinemat…
Fidyll: A Compiler for Cross-Format Data Stories & Explorable Explanations
Matthew Conlen, Jeffrey Heer
Narrative visualization is a powerful communicative tool that can take on various formats such as interactive articles, slideshows, and data videos. These formats each have their s…
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships
Eunice Jun, Audrey Seo, Jeffrey Heer +1
Proper statistical modeling incorporates domain theory about how concepts relate and details of how data were measured. However, data analysts currently lack tool support for recor…
Gemini2: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics
Younghoon Kim, Jeffrey Heer
Complex animated transitions may be easier to understand when divided into separate, consecutive stages. However, effective staging requires careful attention to both animation sem…
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications
Eunice Jun, Melissa Birchfield, Nicole de Moura +2
Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, consid…
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer +1
While counterfactual examples are useful for analysis and training of NLP models, current generation methods either rely on manual labor to create very few counterfactuals, or only…
Gemini: A Grammar and Recommender System for AnimatedTransitions in Statistical Graphics
Younghoon Kim, Jeffrey Heer
Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and pr…
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ge Zhang, Mike A. Merrill, Yang Liu +2
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best pract…
Boba: Authoring and Visualizing Multiverse Analyses
Yang Liu, Alex Kale, Tim Althoff +1
Multiverse analysis is an approach to data analysis in which all "reasonable" analytic decisions are evaluated in parallel and interpreted collectively, in order to foster robustne…
Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study
Kanit Wongsuphasawat, Yang Liu, Jeffrey Heer
How do analysis goals and context affect exploratory data analysis (EDA)? To investigate this question, we conducted semi-structured interviews with 18 data analysts. We characteri…
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis
Yang Liu, Tim Althoff, Jeffrey Heer
Drawing reliable inferences from data involves many, sometimes arbitrary, decisions across phases of data collection, wrangling, and modeling. As different choices can lead to dive…
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization"
Shibamouli Lahiri
"Keyword Extraction" refers to the task of automatically identifying the most relevant and informative phrases in natural language text. As we are deluged with large amounts of tex…
Critical Reflections on Visualization Authoring Systems
Arvind Satyanarayan, Bongshin Lee, Donghao Ren +5
An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, syst…
Beyond Heuristics: Learning Visualization Design
Bahador Saket, Dominik Moritz, Halden Lin +3
In this paper, we describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization des…