{"id":21023378,"url":"https://github.com/iusztinpaul/airbnb-data-analysis","last_synced_at":"2026-05-06T03:35:05.574Z","repository":{"id":40638718,"uuid":"507788533","full_name":"iusztinpaul/airbnb-data-analysis","owner":"iusztinpaul","description":"Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.","archived":false,"fork":false,"pushed_at":"2022-07-30T13:37:48.000Z","size":3729,"stargazers_count":2,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-01T06:09:11.644Z","etag":null,"topics":["airbnb","data","datanalysis","datascience","machine-learning","numpy","pandas","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/iusztinpaul.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}},"created_at":"2022-06-27T06:26:32.000Z","updated_at":"2025-01-04T11:18:38.000Z","dependencies_parsed_at":"2022-09-18T15:10:30.061Z","dependency_job_id":null,"html_url":"https://github.com/iusztinpaul/airbnb-data-analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/iusztinpaul/airbnb-data-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iusztinpaul%2Fairbnb-data-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iusztinpaul%2Fairbnb-data-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iusztinpaul%2Fairbnb-data-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iusztinpaul%2Fairbnb-data-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/iusztinpaul","download_url":"https://codeload.github.com/iusztinpaul/airbnb-data-analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iusztinpaul%2Fairbnb-data-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32677931,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T02:33:58.958Z","status":"ssl_error","status_checked_at":"2026-05-06T02:33:39.611Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["airbnb","data","datanalysis","datascience","machine-learning","numpy","pandas","python"],"created_at":"2024-11-19T11:17:51.102Z","updated_at":"2026-05-06T03:35:05.543Z","avatar_url":"https://github.com/iusztinpaul.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AirBnb Data Analysis\nTo directly see the analysis results, check this [Medium article](https://medium.com/@p.e.iusztin/this-is-what-you-should-know-when-travelling-to-the-netherlands-with-airbnb-aaa19cef4615).\n\n### Table of Contents\n1. [Installation](#installation)\n2. [Project Motivation](#motivation)\n3. [Used Data](#data)\n4. [File Descriptions](#files)\n5. [Results](#results)\n6. [Licensing, Authors, and Acknowledgements](#licensing)\n\n\n## Installation \u003ca id=\"installation\"\u003e\u003c/a\u003e\nThe code was tested with:\n1. Python 3.8\n2. Ubuntu 20.4\n3. Conda 4.12\n\n\u003cbr/\u003eCreate a conda environment:\n```shell\nconda create --name airbnb-data-analysis python=3.8\nconda activate airbnb-data-analysis\n```\nInstall Python dependencies:\n```shell\npip install -r requirements.txt\n```\n\n## Project Motivation \u003ca id=\"motivation\"\u003e\u003c/a\u003e\nIn our data analysis we have used the dataset described in the [Used Data](#data) section to compare different \nAirbnb properties across The Netherlands. We wanted to answer to the following questions:\n1. Which city has the highest price tag? What about their neighborhoods?\n2. What city and neighborhoods are in most demand?\n3. Are reviews for more expensive houses better?\n4. What are the factors that affect a property's price?\n\n## Used Data \u003ca id=\"data\"\u003e\u003c/a\u003e\nWe have used the public data given by [Airbnb](http://insideairbnb.com/get-the-data/). More concrete we chose to \nperform our analysis on the biggest cities from The Netherlands:\n* Amsterdam\n* Rotterdam\n* The Hague\n\n**NOTE**: The code is actually generic and could be run on any other cities from Airbnb. \nBut the scope of our analysis was to compare how Airbnb is performing in The Netherlands.\n\n### Data Folder Structure\nThe notebooks expect the data in the following format:\n```\ndata/\n      - Amsterdam/listings.csv\n      - Rotterdam/listings.csv\n      - The Hague/listings.csv\n```\n\n**NOTE**: As long as you follow this folder structure you can add any other city.\n\n## File Descriptions \u003ca id=\"files\"\u003e\u003c/a\u003e\nOur data analysis is performed into the `netherlands.ipynb` file, which follows the `CRISP-DM` methodology.\n\n**NOTE:** We did more business \u0026 data understanding by using their [data exploration system](http://insideairbnb.com/amsterdam/).\n\n## Results \u003ca id=\"results\"\u003e\u003c/a\u003e\nThe results of our data analysis is presented in detail in a Medium article called\n[This Is What You Should Know When Travelling to the Netherlands With Airbnb](https://medium.com/@p.e.iusztin/this-is-what-you-should-know-when-travelling-to-the-netherlands-with-airbnb-aaa19cef4615)\n\n## Licensing, Authors, and Acknowledgements \u003ca id=\"licensing\"\u003e\u003c/a\u003e\nMust be really grateful for Airbnb that they exposed their data to the public!\nYou can find the Licensing for the data [here](http://insideairbnb.com/data-policies). \nOtherwise, we are more than happy to use this code as you like!\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiusztinpaul%2Fairbnb-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiusztinpaul%2Fairbnb-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiusztinpaul%2Fairbnb-data-analysis/lists"}