See live app

I tried to use as much semantic HTML5 as possible. I didn't want to fill the site with it if it wasn't needed.

I used bootstrap as the css framework for the app. I also applied custom styles of my own.

Javascript gives the app a lot of the functionality. There are numerous javascript plugins used to power the app.

dc.js makes it easier to work with d3 and means you have to write less code.

d3 is used to create the charts in the app using SVG.

Used to slice and dice the data before passing to dc and d3.

An asynchronous helper library, it waits until all data is avaiable before passing for processing.

intro.js is used to provide a step-by-step guide to the user on how to use the app and what each section is for.

Flask is a microframework for Python. It is used in this app to connect to mongoDB and serve up the data for the frontend.

MongoDB is an NOSQL database.

The app I created shows a breakdown of the number of customers, income, tips, method of payment for a restaurant over a period. This app is easily scalable and adjuastable to different data or industries.

To install and run site locally:

• Clone repo
• Create virtualenv
• from folder root typr 'pip install -r requirements.txt' in cmd
• export FLASK_APP=project.py
• followed by flask run