{"id":"64a27e38-374e-47a1-be3a-6db7ffd99af4","shortId":"WtjXcZ","kind":"skill","title":"Profile and clean large CSV datasets from the terminal with qsv","tagline":"Inspect, profile, normalize, and diff large CSV files before loading them into downstream analytics or automation workflows.","description":"# Profile and clean large CSV datasets from the terminal with qsv\n\nInspect, profile, normalize, and diff large CSV files before loading them into downstream analytics or automation workflows.\n\n## Prerequisites\n\nqsv binary and CSV datasets\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- cargo install zipsign\n- brew install qsv\n- conda install conda-forge::qsv\n- git clone https://github.com/dathere/qsv.git\n\nRequirements and caveats from upstream:\n- | [py](docs/help/py.md)✨<br>📇🔣 | Create a new computed column or filter rows by evaluating a Python expression on every row of a CSV file. Python's [f-strings](https://www.freecodecamp.org/news/python-f-strings-tutori...\n- 🔣: requires UTF-8 encoded input.\n\nBasic usage or getting-started notes:\n- | [luau](docs/help/luau.md)✨<br>📇🌐🔣📚 ![CKAN](docs/images/ckan.png) ![Luau](docs/images/luau.png) | <a name=\"luau_deeplink\"></a>Create multiple new computed columns, filter rows, compute aggregations and build complex...\n- | [moarstats](docs/help/moarstats.md)<br>📇🏎️ | Add up to an additional 55 statistical measures, including extended outlier, robust & bivariate statistics to an existing stats CSV file. 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