{"_id":"@artale/pi-datasci","name":"@artale/pi-datasci","dist-tags":{"latest":"1.0.0"},"versions":{"1.0.0":{"name":"@artale/pi-datasci","version":"1.0.0","description":"Data science toolkit. Profile datasets, correlation matrices, outlier detection, statistical summaries. CSV/JSON/JSONL support.","keywords":["pi-package","pi-extension","data-science","statistics","csv","analysis","outliers","correlation"],"license":"MIT","author":{"name":"artale"},"repository":{"type":"git","url":"git+https://github.com/arosstale/pi-datasci.git"},"extensions":["extensions/pi-datasci.ts"],"pi":{"commands":["datasci"],"tools":["datasci_profile","datasci_describe","datasci_outliers"]},"_id":"@artale/pi-datasci@1.0.0","bugs":{"url":"https://github.com/arosstale/pi-datasci/issues"},"homepage":"https://github.com/arosstale/pi-datasci#readme","_nodeVersion":"22.22.0","_npmVersion":"10.9.4","dist":{"integrity":"sha512-z2rkjhyWNa5zGu4UkESD904hiLZY99sZVYPlQ8L+n5MgcXPFqOxw9+QNUp7uqtnr0omv/c/lauMD+WehuQUmpQ==","shasum":"1bcd5791874b644f0c0ee9dc9abeb2944208a1e4","tarball":"https://registry.npmjs.org/@artale/pi-datasci/-/pi-datasci-1.0.0.tgz","fileCount":4,"unpackedSize":21818,"signatures":[{"keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U","sig":"MEQCIF/cmMtgSGlJBA60E+FCBjUs/tVLc2dN4FevnUqrIweIAiAWyBqiLPHqbA+OnTpqEtFVUzwcgCMGqYYVekkPUJwaBw=="}]},"_npmUser":{"name":"artale","email":"arosstale1@gmail.com"},"directories":{},"maintainers":[{"name":"artale","email":"arosstale1@gmail.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages-npm-production","tmp":"tmp/pi-datasci_1.0.0_1772983878206_0.9032858440388507"},"_hasShrinkwrap":false}},"time":{"created":"2026-03-08T15:31:18.111Z","1.0.0":"2026-03-08T15:31:18.377Z","modified":"2026-03-08T15:31:18.683Z"},"maintainers":[{"name":"artale","email":"arosstale1@gmail.com"}],"description":"Data science toolkit. Profile datasets, correlation matrices, outlier detection, statistical summaries. CSV/JSON/JSONL support.","homepage":"https://github.com/arosstale/pi-datasci#readme","keywords":["pi-package","pi-extension","data-science","statistics","csv","analysis","outliers","correlation"],"repository":{"type":"git","url":"git+https://github.com/arosstale/pi-datasci.git"},"author":{"name":"artale"},"bugs":{"url":"https://github.com/arosstale/pi-datasci/issues"},"license":"MIT","readme":"# @artale/pi-datasci\n\n**First Data Science package in the pi ecosystem.**\n\nProfile datasets, compute correlations, detect outliers, generate statistical summaries — all without leaving the terminal.\n\n## Install\n```bash\nnpm install -g @artale/pi-datasci\n```\n\n## Features\n- **Statistical profiling** — min/max/mean/median/stddev/quartiles per column\n- **Type inference** — auto-detect numeric, string, boolean, date columns\n- **Correlation matrix** — Pearson correlation between numeric columns\n- **Outlier detection** — IQR method with high/low classification\n- **Dataset comparison** — side-by-side column overlap and stat comparison\n- **CSV/JSON/JSONL** — auto-detect format, handles quoted fields\n\n## Tools\n- **datasci_profile** — Full statistical profile of a dataset\n- **datasci_describe** — Quick summary statistics\n- **datasci_outliers** — Detect outliers per numeric column\n\n## Commands\n- `/datasci profile <file>` — Full profile with all stats\n- `/datasci correlate <file>` — Correlation matrix\n- `/datasci outliers <file>` — Outlier detection\n- `/datasci sample <file> [n]` — Random sample rows\n- `/datasci compare <a> <b>` — Compare two datasets\n","readmeFilename":"README.md","_rev":"1-8f3f4fd04eb5de85eb99da4485a4fe0a"}