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Paths Explored, Paths Omitted, Paths Obscured: Decision Points &
  Selective Reporting in End-to-End Data Analysis
v1v2v3 (latest)

Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis

International Conference on Human Factors in Computing Systems (CHI), 2019
30 October 2019
Yang Liu
Tim Althoff
Jeffrey Heer
ArXiv (abs)PDFHTML

Papers citing "Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis"

21 / 21 papers shown
Title
Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations
Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations
Linhan Fang
Fan Jiang
Ann Mary Toms
Xiaochen Li
123
2
0
10 Mar 2025
From Data Dump to Digestible Chunks: Automated Segmentation and
  Summarization of Provenance Logs for Communication
From Data Dump to Digestible Chunks: Automated Segmentation and Summarization of Provenance Logs for Communication
Jeremy E. Block
Donald R. Honeycutt
Brett Benda
Benjamin Rheault
Eric D. Ragan
117
1
0
06 Sep 2024
Improving Steering and Verification in AI-Assisted Data Analysis with
  Interactive Task Decomposition
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar
Jack Williams
Ian Drosos
Tovi Grossman
Austin Z. Henley
Carina Negreanu
Advait Sarkar
231
42
0
02 Jul 2024
A System for Quantifying Data Science Workflows with Fine-Grained
  Procedural Logging and a Pilot Study
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study
Jinjin Zhao
Avidgor Gal
Sanjay Krishnan
191
1
0
28 May 2024
LEVA: Using Large Language Models to Enhance Visual Analytics
LEVA: Using Large Language Models to Enhance Visual AnalyticsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Yuheng Zhao
Yixing Zhang
Yu Zhang
Xinyi Zhao
Junjie Wang
Zekai Shao
Cagatay Turkay
Siming Chen
VLM
162
48
0
09 Mar 2024
rTisane: Externalizing conceptual models for data analysis increases
  engagement with domain knowledge and improves statistical model quality
rTisane: Externalizing conceptual models for data analysis increases engagement with domain knowledge and improves statistical model quality
Eunice Jun
Edward Misback
Jeffrey Heer
René Just
186
0
0
25 Oct 2023
Sensitivity-Aware Amortized Bayesian Inference
Sensitivity-Aware Amortized Bayesian Inference
Lasse Elsemüller
Hans Olischläger
Marvin Schmitt
Paul-Christian Bürkner
Ullrich Kothe
Stefan T. Radev
530
17
0
17 Oct 2023
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative
  Natural Language Programming
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
Felicia Li Feng
Ryan Yen
Yuzhe You
Mingming Fan
Jian Zhao
Zhicong Lu
240
29
0
13 Oct 2023
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
How Do Analysts Understand and Verify AI-Assisted Data Analyses?International Conference on Human Factors in Computing Systems (CHI), 2023
Ken Gu
Ruoxi Shang
Tim Althoff
Chenglong Wang
Steven Drucker
AAML
248
38
0
19 Sep 2023
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz StudyInternational Conference on Human Factors in Computing Systems (CHI), 2023
Ken Gu
Madeleine Grunde-McLaughlin
Andrew M. McNutt
Jeffrey Heer
Tim Althoff
176
40
0
18 Sep 2023
Approximation and Progressive Display of Multiverse Analyses
Approximation and Progressive Display of Multiverse Analyses
Yang Liu
Tim Althoff
Jeffrey Heer
90
1
0
15 May 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through
  Artifacts of Data Work
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data WorkInternational Conference on Human Factors in Computing Systems (CHI), 2023
Jennifer Rogers
Anamaria Crisan
160
9
0
05 Apr 2023
MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in
  Meta-analysis
MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysisInternational Conference on Human Factors in Computing Systems (CHI), 2023
Alex Kale
Sarah Lee
Terrance Goan
Elizabeth Tipton
Jessica Hullman
120
4
0
09 Feb 2023
Understanding and Supporting Debugging Workflows in Multiverse Analysis
Understanding and Supporting Debugging Workflows in Multiverse AnalysisInternational Conference on Human Factors in Computing Systems (CHI), 2022
Ken Gu
Eunice Jun
Tim Althoff
140
15
0
07 Oct 2022
How Do Data Science Workers Communicate Intermediate Results?
How Do Data Science Workers Communicate Intermediate Results?
Rock Yuren Pang
Ruotong Wang
Joely Nelson
Leilani Battle
266
6
0
07 Oct 2022
Code Code Evolution: Understanding How People Change Data Science
  Notebooks Over Time
Code Code Evolution: Understanding How People Change Data Science Notebooks Over TimeInternational Conference on Human Factors in Computing Systems (CHI), 2022
Deepthi Raghunandan
Aayushi Roy
Shenzhi Shi
Niklas Elmqvist
Leilani Battle
SyDa
136
23
0
06 Sep 2022
Promoting Ethical Awareness in Communication Analysis: Investigating
  Potentials and Limits of Visual Analytics for Intelligence Applications
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence ApplicationsConference on Fairness, Accountability and Transparency (FAccT), 2022
M. T. Fischer
S. Hirsbrunner
Wolfgang Jentner
Matthias Miller
Daniel A. Keim
Paula Helm
177
11
0
18 Mar 2022
Tisane: Authoring Statistical Models via Formal Reasoning from
  Conceptual and Data Relationships
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data RelationshipsInternational Conference on Human Factors in Computing Systems (CHI), 2022
Eunice Jun
Audrey Seo
Jeffrey Heer
René Just
208
23
0
07 Jan 2022
Hypothesis Formalization: Empirical Findings, Software Limitations, and
  Design Implications
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications
Eunice Jun
M. Birchfield
Nicole de Moura
Jeffrey Heer
René Just
134
19
0
06 Apr 2021
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers
  for Analyzing Data Analysis
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data AnalysisEPJ Data Science (EPJ Data Sci.), 2020
Ashley Ge Zhang
Michael Merrill
Yang Liu
Jeffrey Heer
Tim Althoff
ViT
100
14
0
28 Aug 2020
Boba: Authoring and Visualizing Multiverse Analyses
Boba: Authoring and Visualizing Multiverse AnalysesIEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Yang Liu
Alex Kale
Tim Althoff
Jeffrey Heer
216
55
0
10 Jul 2020
1