21 citations · 51 across the 9 of their papers we have counts for
10 papers
Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science
Stephen Kasica, Charles Berret, Tamara Munzner
The work involved in gathering, wrangling, cleaning, and otherwise preparing data for analysis is often the most time consuming and tedious aspect of data work. Although many studi…
Iceberg Sensemaking: A Process Model for Critical Data Analysis and Visualization
Charles Berret, Tamara Munzner
We offer a new model of the sensemaking process for data analysis and visualization. Whereas past sensemaking models have been grounded in positivist assumptions about the nature o…
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Zipeng Liu, Yang Wang, Jürgen Bernard +1
Graph neural networks (GNNs) are a class of powerful machine learning tools that model node relations for making predictions of nodes or links. GNN developers rely on quantitative…
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…
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…
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…