Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (Paperback)
Nathan Yau
- 出版商: Wiley
- 出版日期: 2011-07-20
- 定價: $1,498
- 售價: 5.0 折 $749
- 語言: 英文
- 頁數: 358
- 裝訂: Paperback
- ISBN: 0470944889
- ISBN-13: 9780470944882
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相關分類:
機率統計學 Probability-and-statistics
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相關翻譯:
鮮活的數據 : 數據可視化指南 (Visualize This: The FlowingData Guide to Design, Visualization, and Statistics) (簡中版)
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其他版本:
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, 2/e (Paperback)
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商品描述
Practical data design tips from a data visualization expert of the modern age
Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.
- Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau
- Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers
- Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator
- Contains numerous examples and descriptions of patterns and outliers and explains how to show them
Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
From the Author: Telling Stories with Data
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A common mistake in data design is to approach a project with a visual layout before looking at your data. This leads to graphics that lack context and provide little value. Visualize This teaches you a data-first approach. Explore what your data has to say first, and you can design graphics that mean something.
Visualization and data design all come easier with practice, and you can advance your skills with every new dataset and project. To begin though, you need a proper foundation and know what tools are available to you (but not let them bog you down). I wrote Visualize This with that in mind.
You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing, and most importantly be able to apply what you learn to your own data.
Three Data Visualization Steps:
1) Ask a Question
(Click Graphic to See Larger Version)
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When you get a dataset, it sometimes is a challenge figuring out where to start, especially when it's a large dataset. Approach your data with a simple curiosity or a question that you want answered, and go from there.
2) Explore Your Data
(Click Graphic to See Larger Version)
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A simple curiosity often leads to more questions, which are a good guide for what stories to dig into. What variables are related to each other? Can you see changes over time? Are there any features in the data that stand out? Find out all you can about your data, because the more you know what's behind the numbers, the better story you can tell.
3) Visualize Your Data
(Click Graphic to See Larger Version)
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Once you know the important parts of your data, you can design graphics the best way you see fit. Use shapes, colors, and sizes that make sense and help tell your story clearly to readers. While the base of your charts and graphs will share many of the same properties – bars, slices, dots, and lines – the final design elements will and should vary by your unique dataset.
商品描述(中文翻譯)
現代數據可視化專家的實用數據設計技巧
數據不斷增加,對於組織數據以使其對目標受眾有意義而言,這可能變得令人不知所措。如果我們能以一種能夠最大限度發揮其潛力並以清晰、簡潔的方式講述故事的方式來視覺化數據,那該有多好呢?多虧了數據可視化大師兼作者Nathan Yau的創造力,我們現在可以做到。在這本全彩色書中,數據可視化專家Nathan Yau使用逐步教程向您展示如何使用數據進行視覺化和講述故事。他解釋了如何收集、解析和格式化數據,然後設計高質量的圖形,幫助您探索和呈現模式、異常值和關係。
- 提供了一種獨特的方法來視覺化和講述數據故事,來自數據可視化專家和flowingdata.com的創始人Nathan Yau
- 提供逐步教程和實用設計技巧,用於創建統計圖形、地理地圖和信息設計,以從數字中尋找含義
- 詳細介紹了可用於視覺化數據的工具,如ActionScript、Flash庫、PHP和JavaScript等用於Web的本地圖形工具,以及用於印刷品的圖形設計工具,如R和Illustrator
- 包含了許多示例和模式和異常值的描述,並解釋如何展示它們
《Visualize This》展示了如何以視覺方式解釋數據,以便以易於理解和吸引人的方式呈現您的信息。
作者的話:用數據講述故事
作者Nathan Yau 在數據設計中的一個常見錯誤是在查看數據之前以視覺佈局的方式進行項目處理。這導致圖形缺乏上下文並提供很少的價值。《Visualize This》教導您採用數據優先的方法。首先探索數據的內容,然後設計有意義的圖形。
通過實踐,視覺化和數據設計變得更容易,您可以通過每個新數據集和項目來提高自己的技能。然而,首先您需要建立一個良好的基礎,並了解可用的工具(但不要讓它們拖慢您的步伐)。我寫《Visualize This》時就是考慮到這一點。
您將接觸到各種軟件和代碼,並立即使用真實世界的數據集,以便通過實踐學習視覺化,最重要的是能夠將所學應用於自己的數據。
三個數據可視化步驟:
1)提出問題
當您獲得一個數據集時,有時很難找到起點,尤其是當數據集很大時。以一種簡單的好奇心或您想要回答的問題來處理數據,然後從那裡開始。
2)探索您的數據
一個簡單的好奇心通常會引發更多問題,這些問題是一個