Digital game addiction data version 2

We have revised the dataset, ensuring that it is thoroughly processed and ready for analysis. The attached second dataset has undergone comprehensive preprocessing algorithms. This preprocessing includes steps such as data cleaning, normalization, and feature extraction to enhance the quality and usability of the data. These steps are crucial to ensure that the dataset is free from inconsistencies, missing values, and irrelevant information, thereby improving the accuracy and reliability of the subsequent machine learning models.

我们已对该数据集进行修订，确保其经过全面处理，可直接用于分析工作。附件中的第二份数据集已通过全面的预处理算法流程完成处理，该预处理涵盖数据清洗、标准化与特征提取等步骤，以提升数据的质量与可用性。上述步骤至关重要，可确保数据集不存在数据不一致、缺失值及无关信息，进而提高后续机器学习模型的精度与可靠性。