Visual framework for big data in d3.js

Fan Bao, Jia Chen
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引用次数: 21

Abstract

The concepts of Data Warehouse, Cloud Computing and Big Data have been proposed during the era of data flood. By reviewing current progresses in data warehouse studies, this paper introduces a framework to achieve better visualization for Big Data. This framework can reduce the cost of building Big Data warehouses by divide data into sub dataset and visualize them respectively. Meanwhile, basing on the powerful visualization tool of D3.js and directed by the principle of Whole-Parts, current data can be presented to users from different dimensions by different rich statistics graphics.
d3.js中的大数据可视化框架
数据仓库、云计算、大数据等概念在数据洪水时代应运而生。通过回顾当前数据仓库研究的进展,本文介绍了一个实现大数据更好可视化的框架。该框架通过将数据划分为子数据集并分别可视化,降低了构建大数据仓库的成本。同时,基于D3.js强大的可视化工具,以Whole-Parts的原理为指导,通过不同的丰富的统计图形,将当前数据从不同的维度呈现给用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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