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🧹 Clean, normalize, and validate structured data formats like CSV and Excel effortlessly with fileprep, a lightweight Go library for efficient data management.

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πŸš€ fileprep - Easy Preprocessing and Validation for Your Data

Download fileprep

πŸ“— Description

fileprep is a user-friendly application designed to help you preprocess and validate your structured data. It works with CSV, TSV, LTSV, Parquet, and Excel formats. With fileprep, you can ensure your data is clean and ready for use without needing technical skills.

🌐 Features

  • Preprocess your data: Simplify your data by removing unnecessary information.
  • Validation checks: Automatically identify issues in your datasets before using them.
  • Supports multiple file formats: Work with CSV, TSV, LTSV, Parquet, and Excel files.
  • User-friendly interface: Designed with you in mind, no coding required.
  • Fast and efficient: Process large data files quickly and accurately.

πŸš€ Getting Started

To get started with fileprep, you need to download the application from our Releases page. Follow these steps:

  1. Visit the releases page to find the latest version of fileprep. You can click here.
  2. Download the installer for your operating system. Choose the right file based on your system (Windows, Mac, or Linux).
  3. Run the installer: After downloading, locate the file and double-click to start the installation.

πŸ“₯ Download & Install

To download fileprep, click the link below and visit our Releases page:

Download fileprep

πŸ‘¨β€πŸ’» System Requirements

  • Operating System: Compatible with Windows 10 and later, macOS 10.15 and later, and most Linux distributions.
  • Storage: At least 250 MB of free space is needed for the installation.
  • Memory: A minimum of 4 GB RAM is recommended for optimal performance.

πŸ”§ Usage Instructions

Once installed, follow these steps to use fileprep:

  1. Open the application from your programs menu or applications folder.
  2. Choose the file type you want to process (CSV, Excel, etc.).
  3. Click on β€œBrowse” to select your file from your computer.
  4. Adjust any preprocessing options based on your needs.
  5. Click β€œValidate” to check your data for errors.
  6. Review the results and make necessary changes based on the feedback provided.
  7. Save your cleaned and validated file to your desired location.

πŸŽ“ Additional Information

βš™οΈ Supported Formats

fileprep currently supports the following formats:

  • CSV: Comma-separated values, perfect for simple data tables.
  • TSV: Tab-separated values, useful for more structured data.
  • LTSV: Line-separated tab values, ideal for log processing.
  • Parquet: Efficient columnar storage for big data applications.
  • Excel: Compatible with various Excel formats for seamless integration.

🧰 Troubleshooting

If you encounter issues while using fileprep, consider the following solutions:

  • Installation Problems: Ensure you have adequate storage and a compatible operating system version.
  • Processing Issues: Check the file format and make sure it is supported.
  • Validation Errors: Review your dataset for any inconsistencies or structural problems.

πŸ“ž Support

For further assistance, please check our GitHub Issues page. If you cannot find a solution, feel free to create a new issue detailing your problem.

✨ Contributing

We welcome contributions to fileprep! If you'd like to help improve the application, please see our contribution guidelines in the repository.

πŸ”— Links

By following these steps, you can easily download, install, and use fileprep to manage your data preprocessing needs effectively.

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🧹 Clean, normalize, and validate structured data formats like CSV and Excel effortlessly with fileprep, a lightweight Go library for efficient data management.

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