Data Visualizer Web App

Welcome to the Data Visualizer Web App repository! This project is a powerful tool for data exploration and visualization, built using Streamlit, Pandas, Matplotlib, and Seaborn. Follow the steps below to build and run the application from scratch.

Prerequisites

Before you begin, ensure you have the following dependencies installed:

Python 3.x
Pip (Python package manager)

Installation

Clone this repository to your local machine using the following command:
```
git clone https://github.com/yourusername/data-visualizer-web-app.git
```
Navigate to the project directory:
```
cd data-visualizer-web-app
```
Create a virtual environment to manage project dependencies:
```
python3 -m venv env
```
Activate the virtual environment:
- Windows:
```
env\Scripts\activate
```
- Mac/Linux:
```
source env/bin/activate
```
Install the required Python packages from the requirements.txt file:
```
pip install -r requirements.txt
```

This command will start a local server and launch the application in your default web browser.

Usage

Upon launching the application, you will be presented with a user-friendly interface for data visualization.
Upload your dataset using the provided file upload widget.
Explore the various visualization options available, including charts, graphs, and plots.
Utilize interactive features to delve deeper into your datasets and gain new insights effortlessly.

Contributing

Contributions are welcome! If you encounter any bugs, have feature requests, or want to contribute to the project, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Running the Application

Once you have installed the dependencies, you can run the application using the following command: