feat: 15 funciones datascience — estadística, DSP e IO de datos
12 funciones puras con implementación real: Standardize, MinMaxScale, Clip, RollingWindow, ZipSlices, GroupBy, Histogram, Pearson, Autocorrelation, FFT (Cooley-Tukey), DetectOutliers, Impute 3 funciones impuras (stubs): LoadCSV, LoadParquet, FetchDataFrame Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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---
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name: impute
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kind: function
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lang: go
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domain: datascience
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version: "1.0.0"
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purity: pure
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signature: "func Impute(data []float64) []float64"
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description: "Rellena valores NaN en un slice de float64 usando forward-fill, reemplazando cada NaN con el último valor válido anterior."
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tags: [datascience, impute, missing, fill]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: ["math"]
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tested: false
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tests: []
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test_file_path: ""
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file_path: "functions/datascience/impute.go"
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---
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