https://github.com/schachte/airbnb-dataset-visualization-backend
🔥🔥 🏡 Interactive Data Visualization for the AirBnB Dataset - 2017 📉 🔥🔥
https://github.com/schachte/airbnb-dataset-visualization-backend
airbnb data visualization
Last synced: 14 days ago
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🔥🔥 🏡 Interactive Data Visualization for the AirBnB Dataset - 2017 📉 🔥🔥
- Host: GitHub
- URL: https://github.com/schachte/airbnb-dataset-visualization-backend
- Owner: Schachte
- Created: 2017-03-06T17:00:17.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-26T06:04:24.000Z (almost 8 years ago)
- Last Synced: 2025-05-11T18:39:25.845Z (5 months ago)
- Topics: airbnb, data, visualization
- Language: Python
- Homepage: http://ec2-52-38-115-147.us-west-2.compute.amazonaws.com/
- Size: 85.9 KB
- Stars: 6
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
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Relevant Links:
AirBnB |
Data Set |
Backend
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Group Members
Ryan Schachte |
Spencer Smith |
Sagarika Kadambi |
Fatima Naveed |
Suhasini Ramakrishnan
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### Dependency Management
- Installing virtual environment to manage local dependencies `pip install virtualenv'
- Make a virtualenv in your directory by typing `virtualenv venv`
- To activate the virtualenv, type in `source venv/bin/activate`
- Install all the requirements from the requirements.txt file from `pip install -r requirements.txt`### Setting Up Django Related Elements
- First, sync the database `python manage.py migrate` (Make sure you're in the directory that manage.py is contained in)
- Create a superuser that you can test admin priveleges on `python manage.py createsuperuser`### Running the Server
`python manage.py runserver`
### Project Purpose
The purpose of this project was to successfully develop a visualize to explore details about a dataset not visible to the naked eye. This tool enables a homeowner to understand complex features of a city or neighborhood by analyzing various features of a typical AirBnB rental.
### AirBnB Backend Visualization Team
This is the frontend component of our visualization tool. This tool was built and designed by:
- Ryan Schachte
- Fatima Naveed
- Suhasini Ramakrishnan
- Sagarika Kadambi
- Spencer Smith