Interactive dashboard

This repository deploys an app to explore a dataset using interactive visualizations. The backend uses Python with Flask, while the data filtering and visualization capabilities are handled by crossfilter.js and dc.js respectively. The dashboard itself is built from a keen.io template.

The dashboard is able to seamlessly handle more than 800,000 rows (customers) for about 20 columns (attributes).

This project has been implemented using Python 3.7.0.

Installation

Clone and go to the repository

git clone https://github.com/doulouUS/EDA_Dashboard_App.git
cd path/to/repo

Create your local python environment using virtualenv

virtualenv -p python3 venv

Activate it (. venv/bin/activate) and install the dependencies

pip install -r requirements.txt

Fire the application and go to your browser on http://0.0.0.0:5000/

python run_flask_app.py

Quick setup using Docker

Pull from Docker hub

docker pull doulou74/dashboard_viewer:0.1

Run the image locally on port 5000

docker run --rm -d -p 5000:5000/tcp doulou74/dashboard_viewer:0.1