📊 CTk-CSV-Plot-Viewer - Visualize CSV Data Effortlessly

🚀 Getting Started

Welcome to the CTk-CSV-Plot-Viewer! This application allows you to easily load and visualize CSV data with a clean and intuitive interface. Follow these simple steps to get started.

💻 System Requirements

• Operating System: Windows, macOS, or Linux
• Python Version: Requires Python 3.6 or above
• Storage: At least 100 MB of free space

📥 Download & Install

To download the CTk-CSV-Plot-Viewer, visit this page: Download CTk-CSV-Plot-Viewer.

1. Open the link above.
2. You will see a list of the available releases.
3. Click on the version you want to download.
4. Download the appropriate package for your operating system. Look for file names ending in .exe for Windows, .dmg for macOS, or a suitable binary for Linux.
5. Once the download is complete, locate the file and open it to begin the installation.

🎨 Features

• User-Friendly Interface: Navigate easily through the application with an intuitive layout.
• CustomTkinter Support: Built with a modern UI library that enhances your experience.
• Data Visualization: Load CSV files and create visual plots with Matplotlib.
• Cross-Platform Compatibility: Run on Windows, macOS, and Linux seamlessly.
• Export Plots: Save your visualizations in PNG format for easy sharing.

📂 Using CTk-CSV-Plot-Viewer

1. Launch the Application: Find the application icon on your desktop or in your applications folder. Click to open.
2. Load a CSV File:
   • Click on the “Load CSV” button.
   • Browse to the location of your CSV file and select it.
3. Visualize the Data:
   • Choose the type of plot you wish to create.
   • Customize any settings as needed.
   • Click "Generate Plot" to see your data visualized.
4. Export Your Work:
   • Click on the “Export” button to save your plot as a PNG file.

🔧 Troubleshooting

• Application Does Not Open: Ensure that you have the correct version of Python installed. You may also need to install additional dependencies if prompted.
• CSV File Not Loading: Check that your file is in the correct CSV format and is not corrupted.
• Plotting Issues: Make sure your CSV data is structured correctly, with numeric values where needed.

🤝 Contributing

We welcome contributions! If you have ideas for improvements or wish to report issues, please visit our issues page on GitHub. Feel free to submit pull requests with your enhancements.

📞 Support

If you encounter problems or have questions about the application, please reach out via the issues page. We’re here to help.

Thank you for choosing CTk-CSV-Plot-Viewer! We hope you have a great experience visualizing your data.

For more details, visit the releases page: Download CTk-CSV-Plot-Viewer.