竞速类（RCG）网络游戏热度分析数据

对同一日内竞速类（RCG）网络游戏的在线总人数比例和在线总时长进行统计并进行同比分析，可以得到竞速类（RCG）网络游戏的热度变化分析。热度在攀升游戏的游戏类型会成为接下来网络游戏行业的重点开发项目，对其投入更多的资金和人力资源；对于热度在降低的游戏类型，则会适当减少资金和人力资源分配。该项数据分析为网络游戏行业的发展方向提供了重要参考。热度变化指数M=(当日在线总人数比例D1/前一日在线总人数比例D2)×(当日在线总时长比例T1/前一日在线总时长比例T2),其中D1为该类型网络游戏当日在线总人数的比例，D2为该类型网络游戏前一日在线总人数的比例，T1为该类型网络游戏当日在线总时长的比例，T2为该类型网络游戏前一日在线总时长的比例。对计算所得的热度变化指数M进行数据分析：当0＜M＜0.9时，热度变化状态为“DEC”，表明该类型网络游戏的热度在降低；当0.9≤M≤1.1时，热度变化状态为“NC”，表明该类型网络游戏的热度没有明显变化；当M＞1.1时，热度变化状态为“RISE”，表明该类型网络游戏的热度在攀升。By counting and conducting day-on-day comparative analysis of the proportion of total concurrent online players and total online playtime for racing genre (RCG) online games within a single day, an analysis of popularity changes for RCG online games can be derived. Game genres with rising popularity will become key development priorities in the online game industry, receiving increased capital and human resource investment; for genres with declining popularity, capital and human resource allocation will be appropriately reduced. This data analysis provides critical references for the development direction of the online game industry. The Popularity Change Index M is calculated as: M = (D1 / D2) × (T1 / T2), where D1 refers to the proportion of total concurrent online players of this game genre on the current day, D2 refers to the proportion of total concurrent online players of this game genre on the previous day, T1 refers to the proportion of total daily online playtime of this game genre on the current day, and T2 refers to the proportion of total daily online playtime of this game genre on the previous day. Data analysis of the calculated Popularity Change Index M is conducted as follows: when 0 < M < 0.9, the popularity change status is "DEC", indicating that the popularity of this game genre is declining; when 0.9 ≤ M ≤ 1.1, the popularity change status is "NC", indicating that the popularity of this game genre has no significant change; when M > 1.1, the popularity change status is "RISE", indicating that the popularity of this game genre is rising.

搜集汇总

数据集介绍

特点

该数据集名为竞速类（RCG）网络游戏热度分析数据，属于文化、体育和娱乐业，数据来源为自行产生，包含944条记录，每月更新。数据集通过分析竞速类网络游戏的在线人数和时长比例，计算热度变化指数M，用于判断游戏热度的变化状态（攀升、降低或无变化），为网络游戏行业的资源分配和发展方向提供重要参考。