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A dplyr backend for databases • dbplyr
dbplyr lets you use dplyr code with remote databases, making database tables feel like local data frames. Access and analyze data using familiar R syntax.
Work with databases using dplyr code in R
dbplyr is a handy tool for anyone working with databases in R. It acts as a bridge between dplyr, a popular data manipulation package, and remote database tables. With dbplyr, you can write your usual dplyr code and have it automatically translated into SQL, so you don’t have to switch between languages or learn complex SQL queries.
This site gives you everything you need to get started with dbplyr, including guides, references, and articles. Whether you’re connecting to a basic database or need to handle more advanced SQL translations, dbplyr simplifies the process. It’s great for data analysts, researchers, or developers who want to manage and analyze large datasets stored in databases using familiar R tools.
You’ll also find helpful resources for extending dbplyr or integrating it with other tools in the tidyverse. If you’re looking to streamline your workflow and make working with remote data easier, dbplyr is a practical solution.
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