)
Say that a bussiness wanted to find the region which has the lowest population of elders, highest concentration of libertarian voters and greatest quantity of banks per square kilometer, this web-service ranks municipalicties by these properties using user-provided priorities for each metric, visualizing this as a heatmap of danish counties and exposing the downloadable raw data to the user.
All of the data used can be found on statistikbanken.dk which makes an incredible amount of very detailed data available to the public free of charge.
📌 It is highly recommended to read the innovation.pdf file as this contains a detailed description of the prototype, business applicability, and potential monitization strategies.
The only requirements barring the requirements.txt file which will be used to install the relevant Python packages, is Python 3.8 and a corresponding PIP installation.
Clone the repository
$ git clone https://github.com/frederikgram/innovation.git
$ cd innovation
Create a virtual environment
$ python3 -m venv env
Activate the environment
- For Linux Machines
$ source ./env/bin/activate
- For Windows Machines
$ env\Scripts\activate.bat
Install dependencies
$ pip3 install -r requirements.txt
To initialize the web-service, change directory into webservice
$ cd webservice
Setup the FLASK environment
- For Linux Machines
$ set FLASK_APP=app.py
- For Windows Machines
$ export FLASK_APP=app.py
From here the webservice can be started using:
$ flask run
and is now accessible at localhost:5000