6-Step EDA Chain: Profile, Analyze, and Report Any Dataset
Asked Jun 29, 2026Modified 4 days agoViewed 6 timesWorks with: GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro
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What this prompt does
Walks you through the full exploratory data analysis pipeline in six chained steps, covering data profiling, distributions, correlations, and a final written summary report.
- Compatible models:
- GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro
- Category:
- Data
Walks you through the full exploratory data analysis pipeline in six chained steps, covering data profiling, distributions, correlations, and a final written summary report. Use it when you need a structured, repeatable EDA workflow for any tabular dataset.
Step 1: Profile the dataset — shape, column types, missing values, duplicates, memory usage. Step 2: Analyze distributions and detect outliers in all numeric columns. Step 3: Analyze cardinality and value frequencies in all categorical columns. Flag any with high cardinality (>50 unique values). Step 4: Compute and visualize the correlation matrix. Flag pairs with |r| > 0.85. Step 5: Identify the 5 most interesting patterns, anomalies, or relationships in the data. Step 6: Write a 1-page EDA summary report: dataset description, key findings, data quality issues, and recommended next steps.
Prompt Curator
120rep · asked Jun 29, 2026
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