Coffe-Shop

2023-group-7-web-devolopemnt-data-science

Description

This project displays data about coffee-prices in Düsseldorf on a small website.

Getting Started

Dependencies

JQuery
plotly.js
SOME DATASCIENCE DEPENDENCIES

Executing program

DATASCIENCE MAGIC
make sure the dependencies in index.HTML are properly linked
make sure the buttons are opening the generated maps onClick
frontend/script.JS has GITROOT constant for use on GitPages. Leave empty otherwise.
open index.HTML

Alexander´s Introduction to execute the code: *1: Coffeeprice forecast: You have to download "Kaffeepreise.csv" and start "Kaffeepreis.py" than you recieve "Coffeeprice_forecast.csv" *2: Building prices: You have to start "BuildingPrices_Data.py" (You need google chrome for that) than you recieve "Mietpreise.csv" *3: Merging: Download "coffeeshop_market_insights.geojson" Start "Merge GeoData+rent.py" you recieve "merged_data.geojson" *4: Calculation: start "Break Even+Profit calc.py" and you recieve updated_data.geojson

code blocks for commands

Authors

Acknowledgments

Thanks to the TechLabs Team Düsseldorf and our Mentors Luis Diego Hernandez and Alexandru Tudorica