资金支付多维度可视化算法模型

1.数据采集：从电子卖场平台采集各期的资金支付信息，具体包含期数、资金性质、资金来源、本期支付额、支付方式、是否支付字段信息； 2.数据处理：1）依据资金性质和资金来源，通过字段组合计算各期的综合支付类型；2）为每种综合支付类型设计专属可视化图标，按本期支付额数值区间和支付次数频次区间，对应分配图标颜色饱和度参数；3）调用WebGIS开发接口，将各期支付数据与地理坐标关联，在电子地图上标注支付发生点，关联综合支付类型及对应图标；4）最终形成“综合支付类型+可视化图标+WebGIS地图”一体化展示模型； 3.数据应用：通过综合支付类型与可视化图标、地图分布的结合，直观呈现资金支付在类别、地域、时间维度的分布特征及变化趋势，辅助快速掌握支付全貌。1. Data Collection: Collect periodic fund payment information from electronic marketplace platforms, which specifically includes field information such as period number, fund nature, fund source, current-period payment amount, payment method, and payment status. 2. Data Processing: 1) Calculate the comprehensive payment type for each period through field combination based on fund nature and fund source; 2) Design exclusive visualization icons for each comprehensive payment type, and allocate color saturation parameters for the icons corresponding to the numerical interval of current-period payment amount and the frequency interval of payment occurrences; 3) Call the WebGIS development interface to associate each period's payment data with geographic coordinates, mark the payment occurrence points on the electronic map, and link them with the comprehensive payment types and their corresponding icons; 4) Finally form an integrated display model of "comprehensive payment type + visualization icon + WebGIS map". 3. Data Application: Through the combination of comprehensive payment types, visualization icons and map distribution, intuitively present the distribution characteristics and changing trends of fund payments in terms of category, region and time dimensions, so as to assist in quickly grasping the overall picture of payments.

搜集汇总

背景与挑战

背景概述

该数据集名为'资金支付多维度可视化算法模型'，由贵州梵云大数据集团有限公司基于公共数据授权开发，规模为4800条并每日更新。其核心特点是通过算法模型实现资金支付的多维度可视化，包括类别、地域和时间分布，利用WebGIS技术直观展示支付数据，旨在辅助企业进行资金管理和决策分析。