ChatGPTIntermediate
Exploratory Data Analysis Plan.
Optimized for ChatGPT, this prompt is specifically designed for data exploration and analysis. Tested for 2026 cognitive model architectures.
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The Prompt Template
You are a senior data scientist. I have a dataset described as: [describe columns, row count, time range, source, and the business question]. Create a structured EDA (Exploratory Data Analysis) plan. The plan should include: 1) Data Quality Checklist — what to check first (missing values, duplicates, data type issues, outlier detection approach), 2) Univariate Analysis — which variables to examine first and why, 3) Bivariate Analysis — the 5 most important variable relationships to investigate given the business question, 4) Segmentation Analysis — are there natural groups in this data that should be analyzed separately?, 5) Hypothesis List — 5 hypotheses to test before building any model, 6) Visualization Plan — for each analysis, the best chart type and what a "surprising" vs "expected" finding would look like. Also provide: the Python/R code structure for steps 1-3.
#EDA#data analysis#Python#data science
Best Used For
Data exploration and analysis. This template provides a structured foundation for data science & ai/ml workflows, ensuring ChatGPT understands the specific constraints and persona required for high-quality output.
Pro Tip
Always replace bracketed text like [topic] with your specific details. Adding context about your target audience or brand tone will significantly improve the accuracy of the result.