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FIFA 世界杯 2022：完整数据集

发布时间：2026-03-17 14:30:34资源ID：2032011567586250754资源类型：免费

该数据集《Fifa World Cup 2022: Complete Dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Statistics of all the matches in the Fifa World Cup 2022 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Fifa_world_cup_matches.csv。 The dataset contains all the matches, updated daily, of the Qatar Fifa World Cup 2022. Along with the scores and the football teams several statistics for each match were reported; for instance, assists, possession, crosses, number of red and yellow cards, passes, fouls, attempts, switches of play, offsides, and the number of times a certain are of the pitch has been crossed. Inspiration This dataset is ideal for performing data analysis of the matches of the 2022 Fifa World Cup. Since a vast array of features are present, not only can a wide range of exploratory data analysis techniques be deployed, but also different plots and visualization techniques can be used. Python libraries, for example, can be used to perform these tasks. Remember to upvote if you found the dataset useful :).

FIFA 世界杯 2022：完整数据集

摘要概览

该数据集《Fifa World Cup 2022: Complete Dataset》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Statistics of all the matches in the Fifa World Cup 2022

任务类型：表格监督学习。

建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：Fifa_world_cup_matches.csv。

The dataset contains all the matches, updated daily, of the Qatar Fifa World Cup 2022.

Along with the scores and the football teams several statistics for each match were reported; for instance, assists, possession, crosses, number of red and yellow cards, passes, fouls, attempts, switches of play, offsides, and the number of times a certain are of the pitch has been crossed.

Inspiration

This dataset is ideal for performing data analysis of the matches of the 2022 Fifa World Cup. Since a vast array of features are present, not only can a wide range of exploratory data analysis techniques be deployed, but also different plots and visualization techniques can be used. Python libraries, for example, can be used to perform these tasks.

Remember to upvote if you found the dataset useful :).