Teil V. Visualisierung deiner Daten mit D3 und Plotly
In diesem Teil des Buches nehmen wir unseren hart erarbeiteten Nobelpreis-Datensatz, den wir in Kapitel 6 aus dem Internet geholt und in Kapitel 9 bereinigt haben, und verwandeln ihn mit der Python- und JS-basierten Plotly-Bibliothek und D3, der schwergewichtigen JS-Dataviz-Bibliothek, in eine moderne, ansprechende, interaktive Webvisualisierung (siehe Abbildung V-1).
Wir werden uns die Umsetzung des D3-Nobelpreis-Datavis im Detail ansehen und uns dabei D3- und JavaScript-Kenntnisse aneignen. Stellen wir uns zunächst vor, wie unsere Visualisierung aussehen soll, indem wir die in Kapitel 11 gewonnenen Erkenntnisse nutzen.
Den Python- und JavaScript-Quellcode für diese Visualisierung findest du im nobel_viz-Verzeichnis des GitHub-Repos des Buches (siehe "Der begleitende Code" für Details).
Abbildung V-1. Unsere Dataviz-Toolchain: Beschaffung der Daten
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