游戏已经成为当代大学生日常生活的重要组成部分，但游戏行为对学业表现的影响一直是教育研究领域的重要议题。本文基于 Kaggle 上的开源数据集 "Gaming vs Academic Performance"，使用 Python 数据科学工具链进行完整的探索性分析和预测建模，最终生成了一份可交互的 HTML 分析报告。
active 2026-05-02 → 2026-05-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2026-05-02 to 2026-05-02. Pushes: 0 total, peak 0 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
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.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.