budongsan | 주택 실거래가 분석을 위한 실 Datasets 및 함수 제공 R package

by keepcosmos R Version: Current License: No License

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kandi X-RAY | budongsan Summary

budongsan is a R library. budongsan has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

국토교통부(molit.go.kr)와 한국 감정원에서 제공하는 아파트, 단독/다가구, 연립/다세대 주택 실거래 정보 분석을 위한 dataset과 함수를 제공합니다. 현재는, 에서 제공되는 2006~2016년까지의 모든 실거래 정보에 대한 R dataset을 제공하고 있습니다. 매매 데이터는 2006년 부터, 전월세 데이터는 2011년부터 존재합니다.

Support

Quality

Security

License

Reuse

Support

budongsan has a low active ecosystem.

It has 27 star(s) with 8 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of budongsan is current.

Quality

budongsan has no bugs reported.

Security

budongsan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

budongsan does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

budongsan releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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budongsan Key Features

No Key Features are available at this moment for budongsan.

budongsan Examples and Code Snippets

No Code Snippets are available at this moment for budongsan.

Community Discussions

No Community Discussions are available at this moment for budongsan.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install budongsan

You can download it from GitHub.

Support

잘못된 데이터 / 제대로 cleaning된지 않은 데이터를 찾아주시는 것도 큰 도움이 됩니다.해당 데이터를 활용한 어떤 분석이든 공유해주세요. PR뿐 아니라 Issue를 통한 제안이나 Gist를 통해 본인이 분석한 Script를 공유해주셔도 됩니다.molit.go.kr에서 다운받은 raw 파일은 package size 문제로 data-raw 브랜치에서 관리합니다. 데이터를 정리한 후 rda파일만 master에 머지하고 있으니 참고해주세요.

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