piling

piling implements an interactive visual piling framework for organizing, sorting, and comparing collections of small multiples to support exploratory analysis of large datasets.

Key Features:

• Interactive visual piling interface: Enables interactive aggregation of visual objects into piles for collective inspection and manipulation.
• Flexible organization and comparison: Provides mechanisms to organize, sort, and compare extensive collections of small multiples.
• Declarative API: Exposes a declarative interface for constructing custom piling interfaces.
• Structured design space: Encodes a structured design space that guides piling interface design for different analytic tasks.
• Design-space implementation: Implements common aspects of the design space to ensure consistency across piling interfaces.
• Visual sorting and grouping: Supports visual sorting and grouping operations to manage and reduce complexity in large datasets.

Scientific Applications:

• Machine learning: Applied to exploratory visualization tasks in machine learning.
• Immunofluorescence microscopy: Applied to analysis and comparison of small-multiple image collections in immunofluorescence microscopy.
• Genomics: Applied to visualization and comparison of genomic small multiples.
• Public health: Applied to comparative visualization tasks in public health datasets.

Methodology:

Implemented as a JavaScript library following a systematic analysis of existing visual piling interfaces, with a declarative API and implementation of the defined design space.