Dzalhaqi / pas-dm

This is Final Project at Data Mining subject. The goals of this project is to mining insight of the sanitation water data around the world through analytical and interactive dashboard

Fuzzy Time Series Analysist Dashboard of Availability of Clean Water and Sanitation Around the World

Data Mining Final Project - Electronic Engineering Polytechnic Institute of Surabaya
View Demo

Table Of Contents

• Table Of Contents
• About The Project
• Built With
• Getting Started
  • Prerequisites
  • Installation
• License
• Authors
• Acknowledgements

About The Project

Description

This is Final Project at Data Mining subject. The goals of this project is to mining insight of the sanitation water data around the world through analytical and interactive dashboard

Preview

Note: Please view demo for more insight of this app

Built With

Application deployed is build with python using streamlit library for the dash app and plotly library for the chart

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• python

for Windows OS

python --version 

for Unix Based OS (Linux, MacOS, etc)

python3 --version 

• git

git --version 

note: if you don't have python installed, you can download it here and if you don't have git installed, you can download it here

Installation

1. Clone the repo

git clone https://github.com/dzalhaqi/pas-dm.git

2. Create python environment

python -m venv env

3. Activate python environment

for Windows OS

env\Scripts\activate

for Unix Based OS (Linux, MacOS, etc)

source env/bin/activate

4. Install python library

cd web && pip install -r requirements.txt

5. Get into web directory and run the app

streamlit run main.py

License

Distributed under the MIT License. See LICENSE for more information.

Authors

• Muhammad Dzalhaqi - Applied Data Science Student (EEPIS) - Muhammad Dzalhaqi - Build dash app, build model, and create analytical reporting

Acknowledgements

• Muhammad Dzalhaqi