May 2020
Intermediate to advanced
362 pages
10h 19m
German
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KAPITEL 8
Visualisierung von Verteilungen: Empirisch kumulative Häufigkeitsverteilung und Q-Q-Plots
In Kapitel 7 habe ich beschrieben, wie wir Verteilungen mit Histogrammen oder Dichtediagrammen visualisieren können. Beide Ansätze sind intuitiv und optisch ansprechend. Jedoch haben beide, wie in jenem Kapitel erörtert, die Einschränkung, dass der resultierende Graph in hohem Maße von den Parametern abhängt, die der Benutzer auswählen muss, z.B. von der Breite der Kategorien (engl. bins) für Histogramme und von der Bandbreite für Dichtediagramme. Daher müssen beide als Interpretation der Daten betrachtet werden – und nicht als direkte Visualisierung der Daten selbst.
Als Alternative zu Histogrammen oder Dichtediagrammen könnten wir einfach alle ...
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