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Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "data-explore" yet — see the docs or source repo.
Analyze this CSV file and provide a column summary, missing value statistics, outlier warnings, and identify the columns that most need cleaning.
Returns a dataset overview, missing-value details by column, potential data issues, and cleaning recommendations.
Run a correlation analysis on the numeric fields in this CSV, list the most strongly correlated variable pairs, and explain their possible business meaning.
Returns correlation results, key variable pairs, and brief business-oriented interpretations.
Using this CSV, compare whether two sample groups differ significantly and choose an appropriate statistical test with justification.
Returns the test method, statistical results, significance conclusion, and the rationale for choosing that test.
Explore, analyze, and filter CSV data with schema and statistics tools.
Load datasets, compute statistics, and create charts for data exploration.
Run statistical analysis, probability calculations, and data processing through natural language.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.
Run end-to-end data science workflows through natural language commands.