Dansende fugl

This repository holds the code used by our group ("Dansende fugl") for the course "TMA4851 - Experts in Teamwork - Data deluge - what can we learn from an abundance of data?" in 2022. The code was used to generate the results used in our reports for the course. Our project used a data set provided by Matej Gjurković and Jan Šnajder (https://takelab.fer.hr/data/mbti/).

Contributors

• Lars-Olav Vågene
• Sander Francis
• Ingvild Devold
• Torje Nysæther
• Mihajlo Krivokapic

Setup

Prerequisites:

• Python
• Docker

Installation steps:

# Set up virtual environment (optional)
python -m venv venv

# Install dependencies
pip install -r requirements.txt

Recommended steps:

• Set up your IDE to automatically reformat files with Black (or run black . manually before committing).
• Download dataset and add it to the /data folder.
• Start Postgres with docker-compose --compatibility up
• Load the dataset(s) with the CLI tool
• Create a .env file based on .env-template

Command line interface (CLI)

The command line interface in cli.py can be used to run some commands, such as inserting the dataset(s). Example commands:

# Load all datasets
python cli.py init