#MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time
Andy Kriebel, Eva Murray
- 出版商: Wiley
- 出版日期: 2018-10-09
- 售價: $1,500
- 貴賓價: 9.5 折 $1,425
- 語言: 英文
- 頁數: 496
- 裝訂: Paperback
- ISBN: 1119510775
- ISBN-13: 9781119510772
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相關分類:
大數據 Big-data、Data Science、Data-visualization
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相關主題
商品描述
Explore different perspectives and approaches to create more effective visualizations
#MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief.
This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact.
- Explore the many approaches to visual data communication
- Think beyond the data and consider audience, stakeholders, and message
- Design your graphs to be intuitive and more communicative
- Assess the impact of layout, color, font, chart type, and other design choices
Creating visual representation of complex datasets is tricky. There’s the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying—but there is also the designer’s impetus to showcase a command of the complexity and create multidimensional visualizations that “look cool.” #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires.
商品描述(中文翻譯)
探索不同的觀點和方法,創造更有效的視覺化
#MakeoverMonday為那些傳達數據的人提供靈感和大量的觀點。最初是數據視覺化社區的一個小項目,#MakeoverMonday每週呈現一個圖表或圖形以及一個數據集,社區成員重新想像這些數據以使其更有效。結果令人驚訝,數百人貢獻了成千上萬個改造,完美地展示了數據視覺化的高度可變性。對相同數據的不同解讀展示了主題、焦點、內容和設計的廣泛變化,並通過並排比較將更有效和不那麼有效的技巧清晰地展示出來。
這本書是該項目的延伸,展示了各種改造,展示了數據傳達的不同方法,並聚焦於通過#MakeoverMonday所發展的分析、設計和故事講述技巧。翻閱這些改造立即激發您自己工作的靈感,提供不同觀點的洞察,並突出真正產生影響的技巧。
- 探索視覺數據傳達的多種方法
- 超越數據,考慮受眾、利益相關者和信息
- 設計圖表使其直觀且更具傳達力
- 評估版面、顏色、字體、圖表類型和其他設計選擇的影響
創建複雜數據集的視覺表示是棘手的。有一個要求以清晰易讀的格式包含所有相關數據,以最佳方式展示數據的含義,但設計師也有動機展示對複雜性的掌握,創造多維度的視覺化效果,使其“看起來很酷”。#MakeoverMonday向您展示了在簡單報告和設計藝術之間取得平衡的多種方式,以創建符合情況要求的視覺化效果。