临平区公共文化场所热门度指数数据

本数据有助于临平区的公共文化管理部门利用热门度指数和场馆类型数据，识别出哪些或哪类公共文化场所更受公众欢迎，从而针对性地增加这些场所的资源投入和维护。有助于文化活动策划者利用热门度指数数据选择合适的临平区域内的公共文化场所，确保活动吸引更多的参与者或观众。临平区的城市管理部门可以根据热门度指数和场馆位置数据，优化区域交通规划和公共服务，如增加热门场馆周边的公共交通频次等。步骤1，数据收集和预处理：从公司文化保障卡服务系统中自动抽取临平区域公共文化场所相关数据，包括场馆ID、场馆类型、场馆位置、打卡次数、平均用户评分。通过数据清洗去除无效或错误记录，确保数据质量。
步骤2，归一化处理：将每个场馆的打卡次数除以所有场馆中的最大打卡次数，得到归一化打卡次数；将每个场馆的平均用户评分除以所有场馆中的最高可能评分，得到归一化用户评分。
步骤3，热门度指数计算，使用加权求和的方法计算每个场馆的热门度指数。权重因子α和β分别分配给归一化的打卡次数和用户评分，以反映它们在总指数中的相对重要性，具体公式为：热门度指数=α×归一化打卡次数+β×归一化用户评分。

This dataset assists the public cultural management departments of Linping District in identifying which public cultural venues or their categories are more popular among the public by leveraging popularity index and venue type data, so as to make targeted resource investments and maintenance for these venues. It also helps cultural event organizers select suitable public cultural venues within Linping District using popularity index data, ensuring that their events attract more participants or audiences. Moreover, urban management authorities in Linping District can optimize regional transportation planning and public services—such as increasing public transit frequency around high-popularity venues—by utilizing popularity index and venue location data.

Step 1: Data Collection and Preprocessing
Automatically extract data related to public cultural venues in Linping District from the corporate cultural security card service system, including venue ID, venue type, venue location, check-in times, and average user rating. Perform data cleaning to eliminate invalid or erroneous records to ensure data quality.

Step 2: Normalization Processing
Divide the check-in times of each venue by the maximum check-in count across all venues to obtain normalized check-in times; divide the average user rating of each venue by the highest possible rating across all venues to get normalized user ratings.

Step 3: Popularity Index Calculation
Calculate the popularity index of each venue via the weighted summation method. Weight factors α and β are assigned to the normalized check-in times and user ratings respectively to reflect their relative importance in the overall index. The specific formula is:
Popularity Index = α × Normalized Check-in Times + β × Normalized User Rating

搜集汇总

数据集介绍

特点

临平区公共文化场所热门度指数数据集由杭州码全信息科技有限公司自行产生，包含526条记录，按需更新。数据集通过归一化处理和加权求和的方法计算热门度指数，应用场景包括公共文化管理、文化活动策划和城市管理，帮助识别受欢迎的文化场所并优化资源配置。