在這個數據眾多且繁雜的時代，我們經常透過圖像來表示資訊不同的意義。資訊圖像化是指運用視覺的方式呈現數據，有效的圖表可以將繁雜的數據簡化成易於吸收的內容。最早的資訊圖像化溯及17世紀時，William Playfair發明了圓餅圖及長條圖，他在現代被稱為統計圖之父。一直到20世紀，由於科技的快速發展，為了符合資料分析者的需求，資訊圖像的表現形式更多元化，除了在企業內經常使用資訊圖像，我們也可以在各式各樣的平台媒介觀察到資訊圖像的存在。由此可知，資訊圖像逐漸成為人類生活當中不可或缺的一部分。
資訊圖像是近代常見的訊息傳遞方式，過去相關文獻中專注於資訊圖像之應用及使用者交互，或探討資料型態的分類，本國對於資訊圖像化架構、資訊圖像分析之研究皆尚未充足。因此，本研究將從商業智慧資訊圖像化軟體Tableau中蒐集18張具代表性的資訊圖像，創建出可以結構化分析資訊圖像的三大構面。接著根據對資訊圖像的分析，統整出一個資訊圖像選擇決策流程，供資料分析者在面對不同資訊需求時有一個明確指引。最後，本研究將研究成果進行業界專家審查會議，根據業界專家之建議進行資訊圖像結構化分析表及資訊圖像選擇決策流程之修正。

With the generation changing, the data be more and more diversified. There are differences in data meaning through images. Data visualization refers to the use of visual presentation of data. Effective infographics can make complex data become easily understood. The earliest data visualization dates back to the 17th century. William Playfair invented the pie chart and bar chart, and he is known as the inventor of statistical charts in modern times. Until the 20th century, with the rapid development of science and technology, to meet the needs of data analysts, the representation of infographics has become diversified. We can find them not only in business reports but also on platforms and media, and they have gradually become an important part of our lives.

Infographics are common ways of communicating now. A review of prior, relevant literature focused on the application and user interaction of infographics or discussing the classification of data types. The research of analyzing infographics is not sufficient. Therefore, our research collects 18 representative infographics from Tableau, a business intelligence information visualization software. We create three dimensions that can structurally analyze infographics. According to the analysis of infographics, a decision-making process for infographics is integrated, so that the analysts can know how to choose the appropriate infographic when facing different information needs. Finally, an expert review meeting was held for this study, and the structured analysis of infographics and the decision-making process of infographics were revised according to the recommendations of industry experts.

Behrisch, M., Blumenschein, M., Kim, N. W., Shao, L., El-Assady, M., Fuchs, J., . . . Keim, D. A. (2018). Quality Metrics for Information Visualization. Computer graphics forum, 37(3), 625-662.
Bell, D. (n.d.). UML入門：統一建模語言入門.
Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Information visualization. In Human-Computer Interaction, 199-234.
Foley, É., & Guillemette, M. G. (2010). What is Business Intelligence? International Journal of Business Intelligence Research, 1(4), 28. doi:10.4018/jbir.2010100101
Friendly, M. (2008). Milestones in the history of thematic cartography, statistical graphics, and data visualization.
Grammel, L., Tory, M., & Storey, M.-A. (2010). How Information Visualization Novices Construct Visualizations. [資訊圖像化新手如何構建圖像化]. IEEE Transactions on Visualization and Computer Graphics, 16(6), 943-952.
Jordan, J., & Ellen, C. (2009). Business need, data and business intelligence. Journal of Digital Asset Management, 5, 10. doi:https://doi.org/10.1057/dam.2008.53
Kopf, D. (2016). When Did Charts Become Popular? Retrieved from https://a0976737702.pixnet.net/blog/post/189281567-%E8%AA%B0%E7%99%BC%E6%98%8E%E4%BA%86%E5%9C%96%E8%A1%A8%EF%BC%9F
Lee, B., Plaisant, C., Parr, C. S., Fekete, J.-D., & Henry, N. (2006). Task Taxonomy for Graph Visualization
Luftmann, & Kempaiah. (2007). An Update on Business-IT Alignment: "A Line" Has Been Drawn. MIS Quarterly, 6(3).
Rodrigues, A. M. B., Barbosa, G. D. J., Lima, R. d. A., Braga, D. J. F., Lopes, H. C. V., & Barbosa, S. D. J. (2020). Revisiting Visualization Task Taxonomies: Specifying Functions for the Data Transformations Stage.
Sadiku, M. N. O., Shadare, A. E., Musa, S. M., Perry, R. G., & Akujuobi, C. (2016). Data visualization. International Journal of Engineering Research and Advanced Technology, 12, 1.
SAP. (n. d.). 什麼是商業智慧（BI）？. Retrieved from https://www.sap.com/taiwan/insights/what-is-business-intelligence-bi.html
Shneiderman, B. (1996). The eyes have it: a task by data type taxonomy for information visualizations. Paper presented at the Proceedings 1996 IEEE Symposium on Visual Languages, Boulder, CO, USA.
Spence, I. (2000). The invention and use of statistical charts. Journal de la société française de statistique, 77-81.
Spence, I., & Wainer, H. (1997). William Playfair: A Daring Worthless Fellow. CHANCE, 10(1), 31-34.
Tableau. (n. d.). 什麼是商業智慧？您的 BI 指南，以及 BI 為何這麼重要？. Retrieved from https://www.tableau.com/zh-tw/learn/articles/business-intelligence
UX四神湯粉絲專頁. (n.d.). 網路趨勢與社群應用分享. Retrieved from https://www.webguide.nat.gov.tw/News_Content.aspx?n=531&s=2913
Zelazny, G. (2014). 用圖表說話：麥肯錫商務溝通全新解讀: 電子工業出版社.
木村博之. (2012). 設計的邏輯: Infographics深入人心的視覺法則: 旗標科技股份有限公司.
許子凡. (2020). 資訊圖像─資訊與圖解的設計表現. 科學發展, 570期.
陳君厚. (2005). 矩陣資料視覺化與資訊探索.
陳為, & 沈則潛. (2013). 數據可視化: 電子工業出版社.
陳致祥, 黃楚安, & 張菡家. (2022). 視覺化資訊圖表設計對於資訊傳播偏好的影響－以Covid-19疫情為例. 圖文傳播藝術學報, 200-211.
楊文金. (2007). 學生對「類屬-組成」論述的語意理解— 以「血液」文本為例. 科學教育學刊, 15(2), 195-214.
維基百科. (2022a). 資料；數據－維基百科, 自由的百科全書. Retrieved from https://zh.wikipedia.org/zh-tw/%E6%95%B0%E6%8D%AE
維基百科. (2022b). 資訊圖像--- 維基百科，自由的百科全書. Retrieved from https://zh.wikipedia.org/w/index.php?title=%E4%BF%A1%E6%81%AF%E5%9B%BE%E5%BD%A2&oldid=71182328
數據分析那些事. (2020). 掌握這5大類23個圖表，讓你的資料視覺化遠離枯燥！. Retrieved from https://allaboutdataanalysis.medium.com/%E6%8E%8C%E6%8F%A1%E9%80%995%E5%A4%A7%E9%A1%9E23%E5%80%8B%E5%9C%96%E8%A1%A8-%E8%AE%93%E4%BD%A0%E7%9A%84%E8%B3%87%E6%96%99%E8%A6%96%E8%A6%BA%E5%8C%96%E9%81%A0%E9%9B%A2%E6%9E%AF%E7%87%A5-f68b79b31267
學習充電站. (2021). 【資源分享】資料視覺化／資訊圖表參考與製作網站. Retrieved from https://junlearning.com/data-visualization-and-infographic/#%E5%BB%B6%E4%BC%B8%E9%96%B1%E8%AE%80
櫻田潤. (2014). 不懂設計, 也能做出令人驚豔的資訊圖表 (陳嫻若, Trans.): 聯經出版事業股份有限公司.