可视化
计算机科学
数据可视化
信息可视化
数据科学
视觉分析
背景(考古学)
过程(计算)
软件可视化
人机交互
交互式视觉分析
软件
情报检索
数据挖掘
软件开发
古生物学
软件建设
生物
程序设计语言
操作系统
作者
Mohaiminul Islam,Shangzhu Jin
标识
DOI:10.1109/icisct47635.2019.9012031
摘要
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software. Data visualization is the presentation of quantitative information in a graphical form. In other words, data visualizations turn large and small data-sets into visuals that are easier for the human brain to understand and process. Data visualizations are surprisingly common in our everyday life, but they often appear in the form of well-known charts and graphs. It can be used to discover unknown facts and trends. Good data visualizations are created when communication, data science, and design collide. Data visualizations done right offer key insights into complicated data-sets in ways that are meaningful and intuitive. In this article, we would like to discuss about data visualization, importance of data visualization, data visualization tools etc.
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