| Summary: | 碩士 === 元智大學 === 資訊工程學系 === 106 === Data visualization is the presentation of data in a graphical or graphical format that makes it easier, faster, and more efficient to understand the data. Studies have shown that human brains process images 60,000 times faster than text processing. Therefore, as the data collected increases, corporate decision makers need to systematically convert large amounts of data into useful information, and data visualization will help. Presenting data analysis results at a glance, and even predicting future trends, would be more efficient than consulting a large number of spreadsheets or written reports.
However, D3.js is a program engine that is most suitable for visualizing web data. It is a JavaScript library that can display data brilliantly by using HTML, SVG and CSS. This study uses D3.js to illustrate the design of network data visualization, mainly because D3.js strictly follows the Web standard, which makes the program easy to be compatible with modern mainstream browsers. In addition, it provides powerful visualization. The component allows the user to manipulate the DOM in a data-driven manner, and then maps the data to the HTML structure or SVG document. D3.js has rich mathematical functions for data conversion and physical calculation, and is also good at operating SVG Paths and geometry.
According to the research in this paper, if enterprises use visual data analysis of big data to conduct content marketing, the following five advantages will be produced:1. Improve corporate website traffic. 2. Provide valuable data. 3. Establish corporate authority. 4. Promote learning. 5. Increase transparency and build consumer trust in the business.
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