The repo provides a notebook that loads telecom datasets, cleans them, aggregates usage metrics, visualizes distributions, detects outliers, and segments customers. It runs end‑to‑end with standard Python data‑science libraries, making it useful for analysts needing a quick insight pipeline. It targets data scientists or business analysts working with similar telecom data, offering a concrete, reproducible example rather than a generic template. While not novel, it delivers a clear, functional analysis that can be adapted to other datasets.
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