摘要
資料視覺化是以圖片或圖表格式呈現資料，讓人更容易、快速且有效率地理解資料。研究顯示，人腦處理圖像的速度比處理文字快6萬倍，因此，隨著蒐集的資料日增，企業決策者需要有系統地將大量資料轉化成有用資訊，而資料視覺化將有助於此以一目瞭然的方式呈現資料分析結果，甚至預測未來趨勢，這樣的做法將比查閱大量試算表或書面報告更有效率。然而，D3.js就是一個最適合將網路資料視覺化的程式引擎，它是一個JavaScript函式庫，可以通過使用HTML、SVG和CSS把資料亮麗地展現出來。本研究選用D3.js來說明網路資料視覺化的設計，主要是因為D3.js嚴格遵循Web標準，因而可以讓程式輕鬆地相容於現代主流瀏覽器，另外，它提供了強大的視覺化元件，可以讓使用者以資料驅動的方式去操作DOM，再把資料和HTML結構或者SVG文檔對映起來，其中D3.js有豐富的數學函數來處理資料轉換和物理計算，也擅長於操作SVG中的路徑和幾何圖形。經本文研究顯示，若企業運用大數據資料視覺化分析來進行內容行銷，將產生以下5大優點：1.提高企業網站流量。2.提供有價值的數據。3.建立企業權威。4.促進學習。5.增加透明度，建立消費者對企業的信任感。
並列摘要
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.