May 2020
Intermediate to advanced
362 pages
10h 19m
German
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KAPITEL 2
Datenvisualisierung: die Darstellung von Daten gestalten (Aesthetics)
Wenn wir Daten visualisieren, nehmen wir Datenwerte und wandeln sie systematisch und logisch in visuelle Elemente um, aus denen die endgültige Abbildung besteht. Obwohl es viele verschiedene Arten von Datenvisualisierungen gibt und auf den ersten Blick ein Streudiagramm, ein Kreisdiagramm und eine Heatmap nicht viel gemeinsam zu haben scheinen, können all diese Visualisierungen mit einer gemeinsamen Sprache beschrieben werden, indem Datenwerte in Tintenkleckse auf Papier oder farbige Pixel auf einem Bildschirm umgewandelt werden. Die wichtigste Erkenntnis ist die folgende: Alle Datenvisualisierungen ordnen Datenwerte quantifizierbaren Merkmalen zu, die in der resultierenden ...
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