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Integrated systems for calculating descriptive statistics and performing hypothesis tests across data structures.
Distinct from Statistical Inference Frameworks: Broader than inference frameworks, covering descriptive statistics and general probability distributions.
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DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f
Provides a collection of algorithms for computing descriptive statistics, hypothesis tests, and probability distributions.