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Ezra2323/Data-mining---Desemepenho-de-jogadores-da-NBA

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Neste notebook, são aplicadas técnicas de clusterização sobre uma base de dados de desempenho individual de jogadores da NBA. Utilizando técnicas de clusterização, é analisado o desempenho completo dos atletas para agrupá-los em perfis de performance distintos. Esta análise revela a estrutura real de papéis na liga.

active 2025-08-242025-08-24 (UTC)

Complete coverage27,074 / 27,076 hourly files (100%) · 2 absent upstream2023-08-152026-09-16 (UTC)
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4
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Line chart, 1 days from 2025-08-24 to 2025-08-24. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

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Ezra23232200

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