5 papers
How Wrangling Tools Shape Wrangling: A Technical Dimensions Analysis
Shiyi He, El Kindi Rezig, Paul Rosen +1
Wrangling consumes a disproportionate share of the effort associated with any data project. While a variety of tools support it, relatively little is known about how their differin…
AnnoBench: A Benchmark for Visualization Annotation Generation
Md Rahat-uz-Zaman, Md Dilshadur Rahman, Andrew McNutt +1
Annotation is among the most demanding visualization tasks to automate, as it simultaneously requires correctly navigating visual, semantic, and stylistic constraints. Failure to m…
Towards Scalable Visual Data Wrangling via Direct Manipulation
El Kindi Rezig, Mir Mahathir Mohammad, Nicolas Baret +3
Data wrangling, the process of cleaning, transforming, and preparing data for analysis, is a well-known bottleneck in data science workflows. A wide range of data wrangling techniq…
Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
Connor Scully-Allison, Kevin Menear, Kristin Potter +3
Domain-specific visualizations sometimes focus on narrow, albeit important, tasks for one group of users. This focus limits the utility of a visualization to other groups working w…
Buckaroo: A Direct Manipulation Visual Data Wrangler
Annabelle Warner, Andrew McNutt, Paul Rosen +1
Preparing datasets -- a critical phase known as data wrangling -- constitutes the dominant phase of data science development, consuming upwards of 80% of the total project time. Th…