11 citations · 72 across the 21 of their papers we have counts for
9 papers · 1 filter
How Do Data Science Workers Communicate Intermediate Results?
Rock Yuren Pang, Ruotong Wang, Joely Nelson +1
Data science workers increasingly collaborate on large-scale projects before communicating insights to a broader audience in the form of visualization. While prior work has modeled…
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time
Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi +2
Sensemaking is the iterative process of identifying, extracting, and explaining insights from data, where each iteration is referred to as the "sensemaking loop." Although recent w…
Streamlining Visualization Authoring in D3 Through User-Driven Templates
Hannah Bako, Alisha Varma, Anuoluwapo Faboro +4
D3 is arguably the most popular tool for implementing web based visualizations. Yet D3 has a steep learning curve that may hinder its adoption and continued use. To simplify the pr…
What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory
Leilani Battle, Alvitta Ottley
Researchers have derived many theoretical models for specifying users' insights as they interact with a visualization system. These representations are essential for understanding…
Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations
Deepthi Raghunandan, Zhe Cui, Kartik Krishnan +5
Keeping abreast of current trends, technologies, and best practices in visualization and data analysis is becoming increasingly difficult, especially for fledgling data scientists.…
An Adaptive Benchmark for Modeling User Exploration of Large Datasets
Joanna Purich, Anthony Wise, Leilani Battle
In this paper, we present a new DBMS performance benchmark that can simulate user exploration with any specified dashboard design made of standard visualization and interaction com…
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health
Calvin Bao, Siyao Li, Sarah Flores +2
The promise of visualization recommendation systems is that analysts will be automatically provided with relevant and high-quality visualizations that will reduce the work of manua…
Demonstration of VegaPlus: Optimizing Declarative Visualization Languages
Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy +3
While many visualization specification languages are user-friendly, they tend to have one critical drawback: they are designed for small data on the client-side and, as a result, p…
A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs
Sneha Gathani, Shayan Monadjemi, Alvitta Ottley +1
Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their higher-level motivations, intuitions, and goals. Althoug…