activity
20192023
most citedBoba: Authoring and Visualizing Multiverse Analyses

80 citations · 170 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 1 cited

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…

cs.LG2020★ 4 cited

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…

cs.HC2020★ 80 cited

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…

cs.HC2019★ 46 cited

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…

cs.HC2019★ 39 cited

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…