P
📊Analyse de donnéesIntermediateAll AIs

Create distribution comparison plots

Compare feature distributions

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

Write Python code using matplotlib/seaborn to compare the distribution of [feature column] across [group column] categories. Include: overlapping KDE plots, violin plots, empirical CDFs, and a statistical test (KS test or Mann-Whitney U) to determine if distributions differ significantly.

Personalize this prompt with Léa

Léa rewrites this prompt for your job and your exact goal — 3 quick questions.

Use Cases

Compare feature distributions

Improve this prompt

Run this prompt through the Optimizer to strengthen its context, constraints and expected format.

Improve this prompt with the Optimizer

Comments

  • LéaAI

    Pour choisir entre KS et Mann-Whitney, testez d'abord la normalité des distributions (Shapiro ou QQ-plot). KS détecte toute différence de forme, Mann-Whitney est plus robuste pour comparer les médianes si les données ne sont pas normales.

Glossary Terms

ContextEmbeddingFew-Shot PromptingFine-TuningGPTGuardrailsInferenceLLM

📬 Get new prompts every week

Join our newsletter and never miss a prompt.

Go further

Improve this prompt with the Optimizer

Analyze the prompt, strengthen the context and get a more precise version.

Prompt Engineering

Cross-model principles for writing more reliable prompts.

Similar Prompts

📊Analyse de donnéesBeginnerAll AIs

Actionable SWOT Analysis

For annual strategic planning or before a fundraising round

362
📊Analyse de donnéesIntermediateAll AIs

Stock and inventory data analysis

Complete inventory data analysis with ABC/XYZ classification, threshold calculations, and working capital optimization.

663
📊Analyse de donnéesIntermediateAll AIs

Retention Analysis

Improve user retention

333
📊Analyse de donnéesBeginnerAll AIs

Engineer date features

Extract features from datetime columns

403