{"id":24009495,"url":"https://github.com/chaedoll/teamproject-foreignerreport","last_synced_at":"2025-02-25T13:29:54.574Z","repository":{"id":213806341,"uuid":"734974984","full_name":"ChaeDoll/TeamProject-ForeignerReport","owner":"ChaeDoll","description":"국내 외국인 대상 인프라 개선을 위한 보고서 (Report on improving infrastructure for foreigners)","archived":false,"fork":false,"pushed_at":"2024-06-07T17:11:06.000Z","size":28098,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T03:58:24.244Z","etag":null,"topics":["data-analysis","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ChaeDoll.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-12-23T08:01:13.000Z","updated_at":"2024-11-30T15:25:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"28775d17-cbe0-4e3e-b458-8bf2183a0f64","html_url":"https://github.com/ChaeDoll/TeamProject-ForeignerReport","commit_stats":null,"previous_names":["chaedoll/teamproject-foreignerreport"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChaeDoll%2FTeamProject-ForeignerReport","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChaeDoll%2FTeamProject-ForeignerReport/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChaeDoll%2FTeamProject-ForeignerReport/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChaeDoll%2FTeamProject-ForeignerReport/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ChaeDoll","download_url":"https://codeload.github.com/ChaeDoll/TeamProject-ForeignerReport/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240675928,"owners_count":19839438,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","python"],"created_at":"2025-01-08T03:58:56.598Z","updated_at":"2025-02-25T13:29:54.501Z","avatar_url":"https://github.com/ChaeDoll.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![header](https://capsule-render.vercel.app/api?type=transparent\u0026height=300\u0026section=header\u0026text=Foreigner%20Report\u0026fontSize=90\u0026fontColor=003399)  \n\n# 서울시 외국인 인프라 개선을 위한 보고서\n## 프로젝트 실행방법\n1. Github에서 data폴더와 code.ipynb 파일을 모두 다운로드 받는다.\n2. Jupyter Notebook 환경에서 code.ipynb를 실행시켜 python 코드로 작성된 프로젝트를 열람한다. \n\n\u003cbr\u003e  \n\n## 📄프로젝트 소개📄\n- 개요 : 데이터마이닝 및 시각화 팀 프로젝트\n- 기간 : 2023.10.20 ~ 2023.12.06\n- **프로젝트 목표** : 외국인 거주자의 증가로 인프라 개선을 위한 데이터 분석을 통해, 외국인들이 몰리는 지역 식별 및 인프라 구축제안\n- **기대효과** : 한국 내 거주하는 외국인들의 삶의 질 향상과 한국에 대한 외국인들의 인식 개선,\n  부가적으로 새로운 관광지 개설과 이에 따른 관광객 유치 등의 요소까지 기대 가능\n\n\u003cbr\u003e  \n\n## 👥프로젝트 참여자👥\n- 총 3명의 팀원으로 구성 되었음\n- *자료조사 : 박OO, 최OO*\n- *\u003cb\u003e데이터 전처리 : 임채윤\u003c/b\u003e*\n- *\u003cb\u003e그래프 시각화 : 임채윤\u003c/b\u003e*\n- *지도 시각화 : 박OO*\n- *\u003cb\u003e머신러닝 구현 : 임채윤\u003c/b\u003e*\n- *\u003cb\u003e코드 정리 : 임채윤\u003c/b\u003e*\n- *PPT 제작 및 발표 : 최OO*\n\n\u003cbr\u003e\n\n## ⚙사용 기술 (언어, 도구)⚙\n### Language  \n\u003cimg src=\"https://img.shields.io/badge/Python-3776AB?style=for-the-badge\u0026logo=Python\u0026logoColor=white\"/\u003e  \n\n### Tool   \n\u003cimg src=\"https://img.shields.io/badge/Jupyter-F37626?style=for-the-badge\u0026logo=Jupyter\u0026logoColor=white\"/\u003e  \n\n### DataBase  \n- 공공데이터포털 : https://www.data.go.kr/\n- 서울 열린데이터광장 : https://data.seoul.go.kr/  \n![image](https://github.com/ChaeDoll/TeamProject-ForeignerReport/assets/108540812/316b4ffa-3eb8-4338-b7e8-d4a8ee5e2813)\n\n  \n\u003cbr\u003e\n\n## 구현 사항\n- 현재 Repository 내 개인보고서 참조\n\n\u003cbr\u003e\n  \n## Python 라이브러리\n- 데이터 활용\n  - Numpy\n  - Pandas\n- 그래프 그리기\n  - Matplotlib pyplot\n  - Seaborn\n  - Plotly express\n- 지도 그리기 \n  - Folium\n- 머신러닝 활용\n  - Scipy\n  - Sklearn \n\n\u003e 이 프로젝트에 기재된 코드를 활용하여 이득을 취하거나 무단 배포할 경우 법적으로 문제될 수 있습니다.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchaedoll%2Fteamproject-foreignerreport","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchaedoll%2Fteamproject-foreignerreport","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchaedoll%2Fteamproject-foreignerreport/lists"}