Welcome, dfqr is a data management utility for R.
See the documentation website to get started.
See the package repository to browse source code.
🚀 R Package: dfqr
Welcome to dfqr—your go-to data management utility for R! 🎉
What is dfqr?
dfqr is designed to streamline your data processing workflows, making data management in R faster and more efficient. Whether you’re handling large datasets, transforming data frames, or performing advanced queries, dfqr simplifies the process.
🏁 Getting Started
Ready to dive in? Head over to our documentation website for a detailed guide on installation, usage examples, and API reference. This is the best place to start mastering dfqr and unleash its full potential in your R projects.
💻 Repository & Source Code
Curious about how dfqr works under the hood? Explore our GitHub package repository to browse the source code, contribute, or report any issues you encounter.
📦 Installation
You can install the latest version of dfqr from CRAN (if available) or directly from GitHub:
# Install from CRAN (if available)
install.packages("dfqr")
# Or, install the development version from GitHub
devtools::install_github("dfqr/dfqr")🚀 Features
• 📊 Fast Data Management: Optimized functions to handle large datasets.
• 🔄 Seamless Integration: Works well with the tidyverse and other R packages.
• 🛠️ Flexible API: Easily customizable and extendable.
🤝 Contributing
Contributions are welcome! If you’d like to improve dfqr, check out our contribution guidelines.
