Anbieter: medimops, Berlin, Deutschland
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 38,04
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In den WarenkorbZustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 37,51
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 384 pages. 9.25x7.25x1.00 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 40,36
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In den WarenkorbPaperback. Zustand: Brand New. 2nd pap/psc edition. 384 pages. 9.50x7.50x0.75 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 48,72
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 2nd pap/psc edition. 384 pages. 9.50x7.50x0.75 inches. In Stock.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | LEARN HOW TO CREATE GRAPHICS THAT TELL MEANINGFUL STORIES WITH DATA Designing charts and graphics is, first and foremost, about understanding data- sometimes monumental amounts of data. In Visualize This, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to gather, parse, and format data, so you can design high quality graphics that maximize the data's storytelling potential. Inside, you'll learn how to use technologies like R, Python, Excel, and JavaScript to create eye-catching visualizations that communicate their message clearly and accurately. Discover how to showcase outliers, find patterns in datasets, create informational maps, and more. With real-world examples and hands-on activities, you'll hone your skills as an information designer. In this updated edition of his classic book, Nathan Yau encourages you to think creatively as you: Present data with visual representations that allow your audience to see the unexpected Find the stories your data can tell Explore different data sources and determine effective formats for presentation Experiment with and compare different visualization tools Look for trends and patterns in your data and select appropriate ways to chart them Establish clear goals to guide your visualizations Visit the companion web site at [LINK ENTFERNT] for code samples, downloadable data files, and interactive examples.