---
name: standardize
kind: function
lang: py
domain: datascience
version: "1.0.0"
purity: pure
signature: "def standardize(data: list) -> list"
description: "Estandarizacion Z-score: transforma los datos a media=0 y desviacion=1."
tags: [statistics, normalization, python, pendiente-usar]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: ""
imports: [math]
params:
  - name: data
    desc: "lista de valores numericos a estandarizar"
output: "lista de misma longitud con datos transformados a media=0 y desviacion estandar=1 (z-scores)"
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/datascience/datascience.py"
---

## Ejemplo

```python
standardize([10, 20, 30])
# [-1.2247..., 0.0, 1.2247...]
```

## Notas

Si la desviacion estandar es cero, retorna lista de ceros. Usa desviacion poblacional (N, no N-1).
