Everyday Data Visualization
暫譯: 日常數據視覺化
Abbott, Desiree
- 出版商: Manning
- 出版日期: 2024-05-28
- 售價: $1,840
- 貴賓價: 9.5 折 $1,748
- 語言: 英文
- 頁數: 278
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1633438406
- ISBN-13: 9781633438408
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相關分類:
Data-visualization
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商品描述
Radically improve the quality of the data visualizations you do every day by mastering core principles of color, typography, chart types, data storytelling, and more! In Everyday Data Visualization you'll learn important design principles for the most common data visualizations:
Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. The foundation of data visualization is storytelling, and this book gives you the tools you need to start telling those stories with clarity, precision, and flair! You'll learn how human brains perceive and process information, master modern accessibility standards, get the basics of color theory and typography, and more! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Effective data visualization is about clear and thoughtful communication. A data visualizer goes beyond flat numbers to illuminate critical insights. Great data storytelling includes skills like attracting the reader's attention to the important points, accurately compensating for missing information, and adapting presentations to a live data flow. About the book Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention. Discover the finesse and design rigor that goes into building delightful dashboards, and best practices for live visualizations that flex and grow as underlying data changes. Design fundamentals are broken down into their component parts so they're easy to understand--even if you're the analytical type! Best of all, everything you learn is tool-agnostic, with universal principles you can apply to any data stack. About the reader For readers experienced with data analysis tools. About the author Desireé Abbott is a Senior Consultant at Slalom. Her decade of experience in analytics has covered roles in product analytics, business intelligence, science, design, and software engineering. She is the instructor for a successful data visualization course on Coursera, produced by University of California Davis.
- Harness the power of perception to guide a user's attention
- Effectively use color and other design fundamentals to bring data to life
- Choose the best chart type for the data and the story you want to tell
- Design for interactive visualizations
- Keep the user's needs first throughout your projects
Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. The foundation of data visualization is storytelling, and this book gives you the tools you need to start telling those stories with clarity, precision, and flair! You'll learn how human brains perceive and process information, master modern accessibility standards, get the basics of color theory and typography, and more! Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Effective data visualization is about clear and thoughtful communication. A data visualizer goes beyond flat numbers to illuminate critical insights. Great data storytelling includes skills like attracting the reader's attention to the important points, accurately compensating for missing information, and adapting presentations to a live data flow. About the book Everyday Data Visualization gives you skills you'll use to enhance the most common data visualizations, including charts and tables, data dashboards, and infographics. You'll learn how to use color, typography, positioning, and choice of charts to catch and keep a viewer's attention. Discover the finesse and design rigor that goes into building delightful dashboards, and best practices for live visualizations that flex and grow as underlying data changes. Design fundamentals are broken down into their component parts so they're easy to understand--even if you're the analytical type! Best of all, everything you learn is tool-agnostic, with universal principles you can apply to any data stack. About the reader For readers experienced with data analysis tools. About the author Desireé Abbott is a Senior Consultant at Slalom. Her decade of experience in analytics has covered roles in product analytics, business intelligence, science, design, and software engineering. She is the instructor for a successful data visualization course on Coursera, produced by University of California Davis.
商品描述(中文翻譯)
透過掌握顏色、排版、圖表類型、數據故事講述等核心原則，徹底提升您每天進行的數據視覺化質量！
在日常數據視覺化中，您將學習到最常見數據視覺化的重要設計原則：- 利用感知的力量引導用戶的注意力
- 有效使用顏色和其他設計基本原則使數據生動起來
- 為您想要講述的數據和故事選擇最佳的圖表類型
- 設計互動式視覺化
- 在整個項目中始終將用戶的需求放在首位
日常數據視覺化是一本設計技術的實用指南，將改善您每天構建的圖表、報告和數據儀表板。數據視覺化的基礎是故事講述，而這本書為您提供了開始以清晰、精確和風格講述這些故事所需的工具！您將學習人類大腦如何感知和處理信息，掌握現代無障礙標準，了解顏色理論和排版的基本知識，等等！購買印刷版書籍可獲得Manning Publications提供的免費PDF和ePub格式電子書。 關於技術 有效的數據視覺化是關於清晰和深思熟慮的溝通。數據視覺化者超越平面的數字，揭示關鍵的見解。出色的數據故事講述包括吸引讀者注意重要點、準確補償缺失信息以及根據實時數據流調整演示的技能。 關於本書 日常數據視覺化提供了您將用來增強最常見數據視覺化的技能，包括圖表和表格、數據儀表板和信息圖。您將學習如何使用顏色、排版、定位和圖表選擇來吸引並保持觀眾的注意力。發現構建令人愉悅的儀表板所需的精緻和設計嚴謹性，以及隨著基礎數據變化而靈活增長的實時視覺化最佳實踐。設計基本原則被分解為其組成部分，以便易於理解——即使您是分析型人才！最重要的是，您所學的一切都是工具無關的，具有普遍原則，您可以將其應用於任何數據堆棧。 關於讀者 適合有數據分析工具經驗的讀者。 關於作者 Desireé Abbott是Slalom的高級顧問。她在分析領域擁有十年的經驗，涵蓋了產品分析、商業智能、科學、設計和軟體工程等角色。她是加州大學戴維斯分校製作的成功數據視覺化課程的講師。
作者簡介
Desireé Abbott is a Senior Consultant at Slalom. Her decade of experience in analytics has covered roles in product analytics, business intelligence, science, design, and software engineering. She is the instructor for a successful data visualization course on Coursera, produced by University of California Davis.
作者簡介(中文翻譯)
Desireé Abbott 是 Slalom 的資深顧問。她在分析領域擁有十年的經驗，涵蓋了產品分析、商業智慧、科學、設計和軟體工程等角色。她是加州大學戴維斯分校製作的一門成功的數據視覺化課程的講師，該課程在 Coursera 上提供。
