Creates a ready-to-run Python script for exploratory data analysis that covers missing value detection, univariate and bivariate exploration, and automatic chart generation.
Creates a ready-to-run Python script for exploratory data analysis that covers missing value detection, univariate and bivariate exploration, and automatic chart generation.
Act as a Python Data Scientist doing exploratory data analysis. Dataset: [DESCRIBE: what each row represents, industry, time period covered] Business question I'm answering: [PASTE YOUR EXACT QUESTION] Target variable (if any): [COLUMN NAME or 'none'] Write a complete Python EDA script that: 1. Loads data from a CSV path 2. Profiles nulls, dtypes, and shape 3. Univariate analysis on each key column 4. Bivariate: correlation matrix + top 5 correlations with target 5. Creates 4 charts: distribution, correlation heatmap, time trend (if date column exists), top 10 values for key categorical column 6. Prints 3-5 key observations as comments in the script Save charts to /charts folder. Comment each analysis step.
Source: https://www.buildfastwithai.com/blogs/ai-prompts-data-analyst-python-sql-chatgpt-2026