“三国”安卓端游戏热度分析数据集合
收藏贵州省数据知识产权登记平台2025-09-22 更新2025-09-23 收录
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本数据集合核心算法聚焦游戏运营指标的标准化计算,具体规则如下:1、转化类算法:创角率以“注册设备数”为基数,激活注册率以“激活数”为基数,确保转化链路指标的逻辑一致性;有效注册率采用“有效注册数÷注册数”计算,有效注册数由运营端根据“完成新手教程”等标准界定。2、付费类算法:首日付费率=首日付费人数÷DAU×100%,核心付费成本=投入成本÷核心付费人数,ROI=付费额÷对应成本×100%,明确成本与收入的匹配维度,保障商业化指标可追溯。3、汇总类算法:合计数据采用“每日数据累加+比率均值”计算,如合计创角率为每日创角率的加权均值(以注册设备数为权重),确保汇总结果贴合实际运营规模。4、校验算法:使用Excel的SUMIF、COUNTIF函数校验每日数据与合计数据的一致性,对7月7日“创角率800%”等异常值进行标注说明,保障数据准确性。
The core algorithms of this dataset focus on standardized calculation of game operation indicators, with specific rules as follows: 1. Conversion-related algorithms: The Character Creation Rate takes "Registered Device Count" as the base, while the Activated Registration Rate takes "Activated Count" as the base, to ensure the logical consistency of conversion funnel indicators; the Valid Registration Rate is calculated as "Valid Registered Count ÷ Registered Count", where Valid Registered Count is defined by the operation team based on standards such as "completing the beginner tutorial". 2. Payment-related algorithms: 1-day Payment Rate = (1-day Payment Users ÷ DAU) × 100%; Core Payment Cost = Input Cost ÷ Core Payment Users; ROI = Payment Amount ÷ Corresponding Cost × 100%. The matching dimensions between costs and revenues are clarified to ensure that commercial indicators are traceable. 3. Summary-related algorithms: Aggregated data is calculated using "daily data summation + average of ratios". For example, the total Character Creation Rate is the weighted average of daily Character Creation Rates (taking Registered Device Count as the weight), ensuring that the aggregated results align with actual operation scales. 4. Validation algorithms: The Excel SUMIF and COUNTIF functions are used to verify the consistency between daily data and aggregated data. Abnormal values such as "800% Character Creation Rate" on July 7th are annotated and explained to ensure data accuracy.
提供机构:
贵阳一轶科技有限公司创建时间:
2025-09-18
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集由贵阳一轶科技有限公司自行产生,规模为1G,每日更新,专注于三国题材安卓游戏的热度分析。它包含激活数、DAU、留存率、付费率等关键运营指标,支持运营监控、转化优化和商业化评估等场景,并通过标准化算法确保数据准确性和可追溯性。
以上内容由遇见数据集搜集并总结生成



