@stdlib/datasets-harrison-boston-house-prices-cli
v0.2.2
Published
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
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Boston House Prices
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
Installation
To use as a general utility, install the CLI package globally
npm install -g @stdlib/datasets-harrison-boston-house-prices-cli
Usage
Usage: harrison-boston-house-prices [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
--format fmt Output format: 'csv' or 'ndjson'.
Notes
- The CLI supports two output formats: comma-separated values (CSV) and newline-delimited JSON (NDJSON). The default output format is CSV.
Examples
$ harrison-boston-house-prices
References
- Harrison, David, and Daniel L Rubinfeld. 1978. "Hedonic housing prices and the demand for clean air." Journal of Environmental Economics and Management 5 (1): 81–102. doi:10.1016/0095-0696(78)90006-2.
- Gilley, Otis W., and R.Kelley Pace. 1996. "On the Harrison and Rubinfeld Data." Journal of Environmental Economics and Management 31 (3): 403–5. doi:10.1006/jeem.1996.0052.
License
The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under a Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.
See Also
@stdlib/datasets-harrison-boston-house-prices
: a dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).@stdlib/datasets-harrison-boston-house-prices-cli-corrected
: A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).@stdlib/datasets-pace-boston-house-prices
: A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
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Copyright
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