Graphs and tables for your Spotify account.
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# Spotify Data Visualizer
See charts of the artists, genres and features of tracks in your library. Also keep track of your listening history.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
### Prerequisites
Before starting the setup, make sure Python 3.6 and PostgreSQL is installed on your system.
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### Installing
1. Use the pip tool to install `virtualenv`. See this [guide](http://docs.python-guide.org/en/latest/dev/virtualenvs/) for further details.
```pip install --user pipenv```
2. Create a virtual environment.
```python3 -m venv /path/to/new/virtual/environment```
3. `cd` into the directory you just created a virtual environment in, and clone the GitHub repo.
4. Activate the virtual environment from the command line.
```source bin/activate```
5. `cd` into the repository root directory and install all dependencies using `pip`.
```pip install -r requirements.txt```
6. Run Django migrations.
```manage.py migrate```
7. Start the server.
```python manage.py runserver```
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## Built With
* [Django](https://www.djangoproject.com/)* [Spotify Web API](https://github.com/spotify/web-api)* [pip packages used](requirements.txt)
## Authors
* [Kevin Mok](https://github.com/Kevin-Mok)* [Chris Shyi](https://github.com/chrisshyi)
## License
This project is licensed under the GPL License - see the [LICENSE.md](LICENSE.md) file for details.
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