Data Points: Visualization That Means Something (Paperback)
暫譯: 有意義的數據點可視化 (平裝本)
Nathan Yau
- 出版商: Wiley
- 出版日期: 2013-04-15
- 售價: $1,300
- 貴賓價: 9.5 折 $1,235
- 語言: 英文
- 頁數: 320
- 裝訂: Paperback
- ISBN: 111846219X
- ISBN-13: 9781118462195
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相關分類:
Data-visualization
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相關翻譯:
數據之美:一本書學會可視化設計 (Data Points: Visualization That Means Something) (簡中版)
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相關主題
商品描述
A fresh look at visualization from the author of Visualize This
Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data.
- Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers
- Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table
- Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more
- Examines standard rules across all visualization applications, then explores when and where you can break those rules
Create visualizations that register at all levels, with Data Points: Visualization That Means Something.
商品描述(中文翻譯)
從《Visualize This》的作者對視覺化的新視角
無論是統計圖表、地理地圖,還是您在最喜愛的新聞網站上看到的生動圖形統計,數據圖形或視覺化的藝術正迅速成為一個獨立的運動。在《Data Points: Visualization That Means Something》中,作者 Nathan Yau 提出了對其暢銷書《Visualize This》的引人入勝的補充,這次專注於數據分析的圖形方面。通過藝術、設計、商業、統計、製圖和在線媒體的例子,他探討了標準和非標準的數據呈現概念和想法。
- 分享了來自 Nathan Yau 的引人入勝的想法,他是《Visualize This》的作者和 flowingdata.com 的創建者,擁有超過 66,000 名訂閱者
- 專注於視覺化,數據圖形幫助觀眾看到他們在表格中可能看不到的趨勢和模式
- 包括作者自己插圖的例子,以及來自統計、藝術、設計、商業、計算機科學、製圖等專業人士的例子
- 檢視所有視覺化應用中的標準規則,然後探討何時何地可以打破這些規則
使用《Data Points: Visualization That Means Something》創建在各個層面上都能引起共鳴的視覺化。
