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@stdlib/datasets-pace-boston-house-prices-cli

v0.2.2

Published

A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).

Downloads

13

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Links

Git

Maintainers

stdlib-botstdlib-botkgrytekgryteplaneshifterplaneshifterrreusserrreusser

Keywords

stdlibdatasetsdatasetdatahousehousingpricesvaluebostonstatsstatisticslinear regressionprediction

Readme

Boston House Prices

NPM version Build Status Coverage Status

A (corrected) 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-pace-boston-house-prices-cli

Usage

Usage: pace-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

$ pace-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.
  • Pace, R. Kelley, and Otis W. Gilley. 1997. "Using the Spatial Configuration of the Data to Improve Estimation." The Journal of Real Estate Finance and Economics 14 (3): 333–40. doi:10.1023/A:1007762613901.

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

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

Copyright © 2016-2024. The Stdlib Authors.