Dynamic Data Dashboard(DashVisualization) Overview Welcome to Dynamic Data Dashboard! This project is a simple web application that I built with Dash that lets users create and interact with data visualizations. Whether you have a small dataset or just want to see your data in a new light, this tool makes it easy to turn your data into meaningful insights.

Features Interactive Dashboards: Upload your data, and the app generates interactive visualizations on the fly. User-Friendly Interface: Simple, clean design for ease of use. Line Charts: View your data trends over time with line charts. Getting Started Prerequisites To get started, you'll need:

Python 3.7 or higher pip (Python package installer) Installation Clone the Repository

First, clone the repository to your local machine:

bash Copy code git clone https://github.com/ArvellonB/DashVisualization.git Navigate to the Project Directory

bash Copy code cd DashVisualization Create and Activate a Virtual Environment

bash Copy code python -m venv venv source venv/bin/activate Install Dependencies

Install the required Python packages:

bash Copy code pip install -r requirements.txt Running the Application Start the App

Run the following command to start the Dash app:

bash Copy code python src/app.py Access the Dashboard

Open your web browser and navigate to:

arduino Copy code http://127.0.0.1:8051/ You should see the dashboard where you can interact with the data visualizations.

Code Explanation Here's a brief rundown of the main code components:

src/app.py: This is the main script that initializes the Dash app, loads the sample data, and sets up the layout. It uses Plotly to create a line chart from the data.

src/data/sample_data.csv: A sample CSV file containing date and value columns used to populate the chart.

Code Breakdown Initialize Dash App: app = dash.Dash(name) sets up the Dash app.

Load Data: df = pd.read_csv('src/data/sample_data.csv') reads the CSV file into a DataFrame.

Create Chart: fig = px.line(df, x='Date', y='Value', title='Sample Data Visualization') generates a line chart using Plotly.

App Layout: Defines the structure of the web page, including the chart and title.

Contributing Feel free to contribute to the project! If you have ideas for improvements or find any issues, please submit a pull request or open an issue.

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