collaborators

6 papers

cs.DC2020

Aggregate-Driven Trace Visualizations for Performance Debugging

Vaastav Anand, Matheus Stolet, Thomas Davidson +3

Performance issues in cloud systems are hard to debug. Distributed tracing is a widely adopted approach that gives engineers visibility into cloud systems. Existing trace analysis…

cs.HC2020

GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space

Anamaria Crisan, Shannah Fisher, Jennifer L. Gardy +1

Genomic Epidemiology (genEpi) is a branch of public health that uses many different data types including tabular, network, genomic, and geographic, to identify and contain outbreak…

cs.HC2020

Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism

Stephen Kasica, Charles Berret, Tamara Munzner

For the many journalists who use data and computation to report the news, data wrangling is an integral part of their work.Despite an abundance of literature on data wrangling in t…

cs.HC2020

Data-First Visualization Design Studies

Michael Oppermann, Tamara Munzner

We introduce the notion of a data-first design study which is triggered by the acquisition of real-world data instead of specific stakeholder analysis questions. We propose an adap…

cs.HC2020

VizCommender: Computing Text-Based Similarity in Visualization Repositories for Content-Based Recommendations

Michael Oppermann, Robert Kincaid, Tamara Munzner

Cloud-based visualization services have made visual analytics accessible to a much wider audience than ever before. Systems such as Tableau have started to amass increasingly large…

cs.HC2020

LSQT: Low-Stretch Quasi-Trees for Bundling and Layout

Rebecca Vandenberg, Madison Elliott, Nicholas Harvey +1

We introduce low-stretch trees to the visualization community with LSQT, our novel technique that uses quasi-trees for both layout and edge bundling. Our method offers strong compu…