1 रिपॉजिटरी
Support for various in-memory data structures such as object arrays and parallel arrays for visualization efficiency.
Distinct from Multi-Format Data Loading: Focuses on memory-resident structures for rendering rather than disk-based multi-format loading
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This is a grammar of graphics visualization library used to build charts by mapping tabular data to visual marks. It functions as an SVG data visualization tool and an exploratory data analysis API, allowing users to render complex visualizations and geographic maps. The library features a GeoJSON map renderer that projects spherical coordinates into two-dimensional pixel space and an Apache Arrow visualization interface for high-efficiency data processing. Its capability surface covers data transformation through binning and grouping, visual encoding via automatic scale inference and color
Handles diverse data structures, including arrays of objects and Apache Arrow tables, to improve processing efficiency.