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The final stage of translating a plot's grammar and data into a visual output in a target area.
Distinct from Custom Aggregation Figures: Candidates are too narrow, focusing on 3D toys or academic reproduction rather than general chart rendering.
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bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit
Renders the final visualization and optional interaction toolbar within the notebook output area.