Visualize This!

Visualize This!

3.88 (1,008 ratings by Goodreads)
By (author)  , Translated by 

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Practical data design tips from a data visualization expert of the modern ageData 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, Nathan YauOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbersDetails 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 IllustratorContains numerous examples and descriptions of patterns and outliers and explains how to show themVisualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
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Product details

  • Paperback | 422 pages
  • 175 x 238 x 21mm | 892g
  • Weinheim, Germany
  • German
  • 1. Aufl.
  • 560 farbige Abbildungen
  • 3527760229
  • 9783527760220
  • 854,420

Table of contents

Uber den Autor 5 Danksagung 7 Einleitung 13 Kapitel 1 Mit Daten Geschichten erzahlen 27 Mehr als nur Zahlen 28 Wonach Sie suchen sollten 35 Design 41 Zusammenfassung 49 Kapitel 2 Umgang mit Daten 51 Daten zusammentragen 52 Daten formatieren 71 Zusammenfassung 87 Kapitel 3 Werkzeuge zum Visualisieren von Daten auswahlen 89 Datenvisualisierung out of the box 90 Programmierung 100 Illustration 115 Mapping 120 Erkunden Sie Ihre Optionen 129 Zusammenfassung 131 Kapitel 4 Muster im zeitlichen Verlauf visualisieren 133 Worauf Sie bei Zeitreihen achten sollten 134 Diskrete Punkte im Zeitverlauf 135 Stetige Daten 166 Zusammenfassung 183 Kapitel 5 Proportionen visualisieren 185 Was es mit Proportionen auf sich hat 186 Teile eines Ganzen 186 Grossenverhaltnisse im zeitlichen Verlauf 214 Zusammenfassung 232 Kapitel 6 Beziehungen visualisieren 235 Nach welchen Beziehungen man suchen kann 236 Korrelationen 236 Verteilung 258 Vergleich 271 Zusammenfassung 285 Kapitel 7 Abweichungen erkennen 287 Worauf Sie achten sollten 288 Vergleiche uber mehrere Variablen 288 Dimensionen reduzieren 321 Nach Ausreissern suchen 328 Zusammenfassung 333 Kapitel 8 Raumliche Beziehungen visualisieren 335 Worauf Sie achten sollten 336 Bestimmte Orte 337 Regionen 351 Raum-Zeit-Muster 368 Zusammenfassung 393 Kapitel 9 Zielorientiertes Design 395 Bereiten Sie sich vor 396 Bereiten Sie Ihre Leser vor 398 Visuelle Hinweise 403 Gute Visualisierung 408 Zusammenfassung 410 Index 413
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About Nathan Yau

Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection. You can follow his visualization experiments at http: //
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Rating details

1,008 ratings
3.88 out of 5 stars
5 27% (277)
4 40% (407)
3 27% (271)
2 4% (41)
1 1% (12)
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