基于D3.js和Echarts的可视化工具DVL.js的实现
首发时间:2016-11-10
摘要:随着计算机技术的快速发展,数据存储和处理能力的不断提高,数据的规模和复杂性也明显增强,急需强大而有效的数据可视化工具来帮助人们从中发现有价值的信息和规律。本文通过分析现有的可视化工具,集成Echarts工具和D3函数库设计开发了具有层次化、模块化的数据可视化工具DVL.js (Data Visualization Layout)。该工具对外提供了通用的数据接口,数据转换模型通过对数据类型与可视化布局参数进行匹配可以生成包含柱状图、折线图、时序图、层次图、网络图、标签云等丰富的可视化图形,图形化的结果可以便捷的应用于Web可视化分析平台。
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Implementation of Visual Tools DVL.js Based on D3.js and Echarts
Abstract:With the rapid development of computer technology, data storage and processing capacity of the continuous improvement of the scale and complexity of the data is also significantly enhanced the urgent need for a powerful and effective data visualization tools to help people find valuable information and laws. This paper develops DVL.js (Data Visualization Layout), which is a hierarchical and modular data visualization tool, by analyzing the existing visualization tools, integrating Echarts tools and D3 function library. The tool provides a common data interface to external data transformation model. By matching the data type and visual layout parameters, it can generate rich visual graphs and graphs including histogram, line graph, timing chart, hierarchical graph, network diagram and tag cloud. The results can be easily applied to Web visualization analysis platform.
Keywords: Visualization tool Echarts D3.js
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