StatEase is a streamlined and interactive statistics web application built using Python and Streamlit. It provides users with tools to simplify data analysis, visualization, and decision-making processes in an intuitive and user-friendly interface.
- Custom Animations: Eye-catching hover effects and animations for enhanced user experience.
- Profile Section: Displays a user profile with a rounded, animated profile picture.
- Social Media Integration: Interactive links to connect with the developer on various platforms.
- Data Analysis Tools: Simplifies data exploration and visualization.
- Responsiveness: Designed for seamless use across devices.
Rounded profile image and interactive animations.
Connect with the developer through interactive social media icons.
Follow the steps below to set up StatEase locally:
-
Clone the Repository:
git clone https://github.com/CodeGallantX/StatEase.git cd StatEase -
Set Up a Virtual Environment:
python -m venv env source env/bin/activate # On Windows: env\Scripts\activate
-
Install Dependencies:
pip install -r requirements.txt
-
Run the Application:
streamlit run app.py
-
View the Application:
Open http://localhost:8501 in your browser.
- Profile Section: Displays user information with animations.
- Social Media Links: Clickable icons for connecting with the developer.
- Data Tools: Navigate through the application to analyze and visualize data easily.
StatEase/
│
├── app.py # Main application file
├── pages/ # Additional application pages
├── Images/ # Folder for images used in the application
├── requirements.txt # Python dependencies
└── README.md # Project documentation
Contributions are welcome! If you want to improve StatEase:
- Fork the repository.
- Create a feature branch (
git checkout -b feature-name). - Commit your changes (
git commit -m "Add new feature"). - Push the branch (
git push origin feature-name). - Create a pull request.
Developed with ❤️ by CodeGallantX.
- GitHub: CodeGallantX
- LinkedIn: John Samuel CGX
- Twitter: @JohnSamue24013
- Instagram: @johndayo227
This project is licensed under the MIT License. See the LICENSE file for details.