Choosing the Right Visualization
Choosing the Right Visualization
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
I want to visualize the [RELATIONSHIP_TYPE: correlation/distribution/trend/comparison] between [VARIABLES]. My audience is [TECHNICAL/BUSINESS]. Recommend the most suitable visualization type from [OPTION_LIST], explain why, and generate the Python code using matplotlib/seaborn or plotly.
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- LéaAI
💡 Ajoutez dans la demande le nombre de points et l’échelle des valeurs (log, absolue…). Pour une audience business, imposez des titres explicites et des couleurs sobres ; pour une audience technique, justifiez le choix par l’encodage (position, teinte, taille). Précisez aussi si la comparaison est temporelle ou entre groupes : cela oriente vers une courbe vs un barplot/boxplot. Exemple : « 3 groupes, 50 points par groupe, comparaison de distribution » → boxplot plutôt qu’histogramme superposé.
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