Tea: A High-level Language and Runtime System for Automating Statistical
Analysis

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

10 April 2019

Sarah E. Chasins

Katharina Reinecke

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Papers citing "Tea: A High-level Language and Runtime System for Automating Statistical Analysis"

15 / 15 papers shown

Title
Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science Ziwei Dong Ameya Patil Yuichi Shoda Leilani Battle Emily Wall AI4CE 54 1 0 07 Oct 2024
Guided Statistical Workflows with Interactive Explanations and Assumption Checking Yuqi Zhang Adam Perer Will Epperson CML 58 0 0 01 Oct 2024
Data Analysis in the Era of Generative AI J. Inala Chenglong Wang Steven Drucker Gonzalo Ramos Victor C. Dibia N. Riche Dave Brown Dan Marshall Jianfeng Gao 97 9 0 27 Sep 2024
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 144 0 0 25 Oct 2023
Can GPT-4 Replicate Empirical Software Engineering Research? Jenny T Liang Carmen Badea Christian Bird R. Deline Denae Ford Nicole Forsgren Thomas Zimmermann 91 10 0 03 Oct 2023
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study Ken Gu Madeleine Grunde-McLaughlin Andrew M. McNutt Jeffrey Heer Tim Althoff 93 32 0 18 Sep 2023
Approximation and Progressive Display of Multiverse Analyses Yang Liu Tim Althoff Jeffrey Heer 46 1 0 15 May 2023
Analysis Without Data: Teaching Students to Tackle the VAST Challenge Edward W He Daniel Tolessa Ashley Suh Remco Chang 43 1 0 01 Nov 2022
Understanding and Supporting Debugging Workflows in Multiverse Analysis Ken Gu Eunice Jun Tim Althoff 59 15 0 07 Oct 2022
No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization A. Mcnutt 58 25 0 16 Jul 2022
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships Eunice Jun Audrey Seo Jeffrey Heer René Just 135 19 0 07 Jan 2022
Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications Eunice Jun M. Birchfield Nicole de Moura Jeffrey Heer René Just 68 15 0 06 Apr 2021
An Aligned Rank Transform Procedure for Multifactor Contrast Tests Lisa Elkin Matthew Kay J. J. Higgins J. Wobbrock 56 472 0 23 Feb 2021
Boba: Authoring and Visualizing Multiverse Analyses Yang Liu Alex Kale Tim Althoff Jeffrey Heer 81 48 0 10 Jul 2020
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis Yang Liu Tim Althoff Jeffrey Heer 51 51 0 30 Oct 2019