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OnlineStats does statistics and data visualization for big/streaming data via online algorithms. High-performance single-pass algorithms for statistics and data viz. Updated one observation at a time. Algorithms use O(1) memory. Algorithms use O(1) memory.
Features
- Processes data one observation at a time
- Uses O(1) memory
- Stats are subtypes of OnlineStat{T} where T is the type of a single observation
- Stats can be updated with single or multiple observations
- Stats can be merged
- Algorithms use O(1) memory
- Perfect for streaming and big data
- Updated one observation at a timeHigh-performance single-pass algorithms for statistics and data viz
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow OnlineStats.jl
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