贵州全省线下体验与互动类活动特征数据集

数据处理遵循 “合规采集 - 标准化加工 - 智能化管理” 全流程规则：
数据清洗：采用 “区间核验 + 逻辑筛查” 双重规则，依据不同活动类型的参与人数区间（50-200 人）、地区消费水平对应的单价范围（20-70 元），剔除极端异常数据，对缺失的关键信息进行合规补全，确保数据有效性；
加工处理：通过活动类型与地区分类编码算法，将定性数据转化为标准化标签，运用统计聚合算法计算区域、类型、年度等多维度的活动特征汇总指标，形成结构化与汇总化双重数据体系；
数据安全处理：对涉及的线下活动数据进行去标识化处理，剥离可关联至具体参与人员、组织方的敏感信息，仅保留公共维度的活动特征数据，符合个人信息保护相关法律法规要求；
算法适配：构建动态趋势更新算法，可根据年度线下活动消费趋势、地区经济发展变化，定期优化数据校验参数与区间标准，确保数据集的时效性与应用适配性。

The data processing follows the end-to-end workflow rule of "compliant collection - standardized processing - intelligent management":
Data Cleaning: Adopt the dual rules of "interval verification + logical screening". Based on the participant count interval (50-200 people) for various activity types and the unit price range (20-70 yuan) matching regional consumption levels, extreme abnormal data is eliminated, and missing key information is supplemented in compliance to ensure data validity;
Processing: Through the classification and encoding algorithms for activity types and regions, qualitative data is converted into standardized labels. Statistical aggregation algorithms are applied to calculate summary indicators of activity characteristics across multiple dimensions such as regions, activity types and years, thus forming a dual data system featuring both structured and aggregated data;
Data Security Processing: De-identification processing is performed on the collected offline activity data, where sensitive information that can be linked to specific participants and organizers is removed, and only activity characteristic data at the public dimension level is retained, which complies with relevant laws and regulations on personal information protection;
Algorithm Adaptation: A dynamic trend update algorithm is developed, which can regularly optimize data verification parameters and interval standards based on annual offline activity consumption trends and changes in regional economic development, so as to ensure the timeliness and application adaptability of the dataset.

搜集汇总

背景与挑战

背景概述

该数据集记录了贵州省全省范围内线下体验与互动类活动的特征信息，包含320场活动数据，按月更新。它适用于线下活动策划、文旅消费分析等领域，覆盖亲子互动、户外拓展等多种活动类型，并采用标准化处理流程确保数据质量和合规性，支持2023-2025年的活动规划与运营需求。