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app.pondpilot.io
  • duck_analysis.sql
  • pond_data.csv
  • migration_routes.parquet
  • quack_metrics.duckdb
pond_query.sql
Query ran successfully
-- Duck pond analysis - Get our ducks in a row!
SELECT
  duck_type,
  COUNT(*) AS duck_count,
  AVG(quacks_per_minute) AS quack_rate,
  SUM(bread_consumed) AS total_bread
FROM pond_data
WHERE migration_season = 'Spring'
GROUP BY duck_type
ORDER BY quack_rate DESC;
Run
4 rows
# duck_type duck_count quack_rate total_bread
1 Mallard 42 28.5 420 slices
2 Wood Duck 18 22.3 217 slices
3 Mandarin 7 19.8 135 slices
4 Rubber Duck 1 0.0 0 slices
Features

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Powerful SQL analytics that respects your privacy and works entirely in your browser

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All data handles and queries automatically saved between browser sessions

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Leverage the powerful analytical SQL engine for blazing-fast queries

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Using the Web App

  1. Visit app.pondpilot.io
  2. Click "Add file" or use shortcut (Ctrl+F)
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docker run -d -p 4173:80 --name pondpilot ghcr.io/pondpilot/pondpilot:latest

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