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Calculating frequency distributions on the backend to reduce data transmission to the client.
Distinct from Histograms: Distinct from Histograms: focuses on the computational location (backend) and data reduction rather than the visual plot type.
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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
Bins sample data on the server side to minimize network overhead for large datasets.