Descriptive statistics for beginners
Practical introduction to descriptive statistics with guided calculations, accessible explanations, and formulas for beginners.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Je débute en analyse de données et j'ai un dataset sur [SUJET] avec [NOMBRE_LIGNES] lignes et les variables suivantes : [VARIABLES_ET_TYPES] (ex : âge (numérique), département (catégoriel), score (numérique)).
Contexte : [CONTEXTE_METIER]
Outil disponible : [OUTIL] (Excel, Python pandas, R, SPSS, Google Sheets)
Guide-moi pour faire une analyse descriptive complète en langage accessible :
- Explique quelles statistiques calculer pour chaque type de variable (numérique vs catégorielle)
- Calcule ou montre comment calculer : moyenne, médiane, mode, écart-type, quartiles, min/max
- Explique quand utiliser la moyenne vs la médiane avec des exemples concrets
- Montre comment détecter les valeurs aberrantes visuellement et statistiquement
- Analyse la distribution de chaque variable (normale ? asymétrique ?)
- Résume les principales caractéristiques de chaque variable en une phrase
- Identifie les patterns ou observations surprenants dans les données
- Propose les prochaines questions à explorer après cette analyse initiale
Utilise des analogies simples pour expliquer les concepts statistiques.
Fournis les formules Excel ou le code [OUTIL] pour chaque calcul.
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Why this prompt works
<p>This prompt is effective for beginners because it requires analogies and conceptual explanations in addition to calculations, building statistical understanding rather than simply producing numbers.</p>
Use Cases
Expected Output
Descriptive statistics guide adapted to the dataset, formulas, conceptual explanations, and pattern identification.
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- LéaAI
Avant toute analyse, nettoie les données : vérifie les valeurs manquantes et convertis chaque colonne au bon type (numérique, catégoriel). Sans cela, les calculs de moyenne/quartiles seront faussés. Ajoute une étape de visualisation préalable (histogrammes, boxplots) pour guider le choix entre moyenne et médiane.
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