🎉 Election Analysis Dashboard 🗳️

Overview

Welcome to the Election Analysis Dashboard! This project is your go-to tool for in-depth election data analysis. With interactive animations and fun stickers, our dashboard not only provides detailed insights into election metrics but also makes data exploration engaging and enjoyable. Whether you’re a data enthusiast or a decision-maker, this tool helps you visualize and understand election trends with ease.

Features 🚀

• ✨ Interactive Charts and Graphs: Dive into dynamic visualizations including bar charts, pie charts, and line graphs. Watch animations bring your data to life!
• 🔍 Data Filtering and Drill-Down: Easily filter and drill down into data by region, candidate, or time period for a deeper look.
• 🔄 Real-Time Data Updates: Stay up-to-date with live election data and results.
• 🌟 User-Friendly Interface: Navigate through a sleek, intuitive interface that’s as fun to use as it is functional.

Technologies Used 🛠️

• Frontend: React, HTML, CSS, JavaScript
• Backend: Node.js, Express
• Database: MySQL
• Visualization: Chart.js or D3.js (based on the actual library used)

Installation 📦

Prerequisites

• Node.js (v14 or later)
• MySQL (v8 or later)

Steps

1. Clone the Repository

   git clone https://github.com/yourusername/election-analysis-dashboard.git
   cd election-analysis-dashboard

2. Install Dependencies

   npm install

3. Set Up the Database

   Create a MySQL database and import the provided schema:

   CREATE DATABASE election_db;
   USE election_db;
   SOURCE path/to/schema.sql;

4. Configure Environment Variables

   Create a .env file in the root directory and add your database configuration:

   DB_HOST=localhost
   DB_USER=root
   DB_PASSWORD=yourpassword
   DB_NAME=election_db

5. Run the Application

   Start the backend server:

   npm run start

   Open a new terminal and start the frontend development server:

   cd client
   npm start

   The dashboard should now be accessible at http://localhost:3000.

Usage 📊

• Navigate to the Dashboard: Open your browser and go to http://localhost:3000.
• Explore Data: Use the sidebar or dropdown menus to filter and view different metrics and visualizations. Enjoy animated transitions and lively stickers that make data exploration more engaging!

Contributing 🤝

We’d love your contributions! If you have suggestions for new features or improvements, please submit a pull request or open an issue.

License 📜

This project is licensed under the MIT License. See the LICENSE file for details.