Data science

Spend your time on the thinking.

The first hour of every project, done before your coffee cools.

The setup, already done.

Distributions, correlations, outliers — the opening of every project, finished while you read the results.

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Which features drive SalePrice?

SQL, Python and charts. One notebook.

Query it, hand it to Python, chart it — without leaving the page or exporting a thing.

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Defend your numbers.

The agent checks its results before it tells you. What it did stays as work you can edit, rerun and come back to.

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  • Checked 3 tables

Start your first notebook.

Free to start. Bring a file or try the sample dataset.