💧 WaterScope

An interactive water-data analytics dashboard for exploring trends, forecasts, climate-related patterns, statistical analysis, and geographic water information through charts and maps.

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Overview

WaterScope is a web-based data-analysis platform designed to present water-related information through interactive dashboards, statistical analysis, forecasting, charts, and geographic maps.

The application organizes different types of analysis into dedicated pages, allowing users to move between:

• General water-data overview
• ARIMA-based forecasting
• Principal Component Analysis
• Trend analysis
• Climate-impact analysis
• Interactive geographic maps
• Raw or processed data exploration

The project combines multiple visualization libraries to present complex analytical results in a clear and accessible interface.

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Table of Contents

• Overview
• Main Features
• Application Pages
• Technology Stack
• Project Structure
• My Contribution
• Getting Started
• Available Scripts
• Screenshots
• Future Improvements
• Author

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Main Features

Water Data Overview

• Presents general water-related information
• Displays summary statistics and visual indicators
• Organizes key analytical results in a dashboard format
• Provides navigation to deeper analysis pages

ARIMA Forecasting

• Includes a dedicated forecasting page
• Presents time-series forecasting results
• Supports visualization of historical and predicted values
• Helps users inspect possible future water-data patterns

PCA Analysis

• Includes a dedicated Principal Component Analysis page
• Supports exploration of relationships between variables
• Helps simplify and visualize multidimensional data
• Presents analytical results through charts and visual components

Trend Analysis

• Displays changes in water-related measurements over time
• Uses charts to present increases, decreases, and recurring patterns
• Supports comparison of time-based data
• Helps users identify long-term behavior

Climate-Impact Analysis

• Includes a dedicated climate-impact page
• Presents relationships between climate-related factors and water data
• Uses data visualizations to communicate analytical findings
• Helps users explore possible environmental influences

Geographic Visualization

• Displays water-related information on an interactive map
• Uses Leaflet and React Leaflet
• Supports geographic exploration of data
• Provides location-based visual context

Data Exploration

• Includes a separate data page
• Allows users to inspect the data used by the application
• Supports transparent presentation of analytical information
• Complements the visualization and forecasting pages

Shared Application Layout

• Reusable header and footer
• Consistent navigation across pages
• Responsive page structure
• Central application layout using React Router
• Tailwind CSS-based interface styling

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Application Pages

Route	Page	Purpose
/	Home	Main landing page
/home	Home	Alternative home route
/overView	Overview	Water-data summary and dashboard
/arimaForcast	ARIMA Forecast	Time-series forecasting
/PCAAnalysis	PCA Analysis	Principal Component Analysis
/trendAnalysis	Trend Analysis	Time-based pattern exploration
/climateImpact	Climate Impact	Climate and water relationship analysis
/map	Map	Geographic data visualization
/data	Data	Data exploration and presentation

Route names currently follow the implementation in the repository. They can later be standardized to lowercase kebab-case, such as /overview, /arima-forecast, and /pca-analysis.

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Technology Stack

Technology	Purpose
React 19	Component-based user interface
Vite	Development server and production builds
React Router	Client-side routing
Tailwind CSS	Utility-first styling
Chart.js	Interactive chart rendering
React Chart.js 2	React integration for Chart.js
Plotly.js	Advanced interactive visualizations
React Plotly.js	React integration for Plotly
Recharts	React-based data charts
Leaflet	Interactive maps
React Leaflet	React integration for Leaflet
Lucide React	Interface icons
date-fns adapter	Date support for Chart.js

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Project Structure

src/
├── components/
│   ├── Home.jsx
│   ├── OverView.jsx
│   ├── ArimaForcast.jsx
│   ├── PCAAnalysis.jsx
│   ├── TrendAnalysis.jsx
│   ├── ClimateImpact.jsx
│   └── Data.jsx
├── layouts/
│   ├── Header.jsx
│   └── Footer.jsx
├── pages/
│   └── MapPage.jsx
├── App.jsx
├── main.jsx
└── index.css

Main Responsibilities

File or Folder	Purpose
components/Home	Main landing-page content
components/OverView	General water-data overview
components/ArimaForcast	ARIMA forecast visualization
components/PCAAnalysis	PCA-related analysis
components/TrendAnalysis	Trend visualization
components/ClimateImpact	Climate-impact analysis
components/Data	Data display and exploration
pages/MapPage	Interactive geographic visualization
layouts/Header	Shared application navigation
layouts/Footer	Shared application footer
App.jsx	Main layout wrapper
main.jsx	Router and application entry point

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Getting Started

Prerequisites

Make sure the following are installed:

• Node.js 18 or newer
• npm

Clone the Repository

git clone https://github.com/mhmdkh1905/WaterScope1.git
cd WaterScope1

Install Dependencies

npm install

Start the Development Server

npm run dev

The application should be available at:

http://localhost:5173

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Available Scripts

Start Development Server

npm run dev

Runs the application using the Vite development server.

Create Production Build

npm run build

Creates an optimized production build.

Preview Production Build

npm run preview

Runs the production build locally for testing.

Run Linter

npm run lint

Checks the codebase for linting issues.

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Data Source

Add information here about the dataset used by WaterScope.

Example structure:

Dataset name:
Dataset source:
Geographic coverage:
Time period:
Main variables:
License:

Do not add a data-source claim until the exact dataset and source are confirmed.

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Analytical Methods

WaterScope includes pages dedicated to several forms of analysis:

ARIMA

Used for presenting time-series forecasting results.

Principal Component Analysis

Used for exploring multidimensional relationships and reducing the complexity of multiple variables.

Trend Analysis

Used for identifying changes and patterns over time.

Climate-Impact Analysis

Used for examining relationships between climate-related measurements and water data.

The README should describe only the calculations that are actually implemented. Add model parameters, evaluation metrics, and methodology once they are confirmed from the project code or analysis process.

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Future Improvements

• Standardize route names and component naming
• Correct ArimaForcast to ArimaForecast
• Correct OverView to Overview
• Add a custom 404 page
• Add loading and error states
• Add filters for date, location, and water indicators
• Add downloadable chart images
• Add CSV or Excel export
• Add data-source citations
• Add explanations for each analytical model
• Add forecasting evaluation metrics
• Add map legends and filters
• Improve mobile and tablet layouts
• Add accessibility improvements
• Add automated component tests
• Add end-to-end tests
• Add a deployed live demo
• Add TypeScript
• Add documentation for datasets and preprocessing

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Repository Topics

Recommended GitHub topics:

react
vite
javascript
tailwindcss
water-data
data-analysis
data-visualization
arima
pca
forecasting
climate-analysis
plotly
chartjs
dashboard

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Repository Description

Interactive water-data analytics dashboard with forecasting, PCA, trend analysis, climate-impact insights, charts, and geographic maps.

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Author

Mohammad Khateeb

• GitHub
• LinkedIn
• Email

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License

This project was developed for educational and portfolio purposes.