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dplyr download for Windows

Free download dplyr Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named dplyr whose latest release can be downloaded as dplyr1.1.4sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named dplyr with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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dplyr


DESCRIPTION

dplyr is an R package that provides a consistent and intuitive grammar for data manipulation, enabling users to filter, arrange, summarize, and transform data efficiently. Part of the tidyverse ecosystem, dplyr simplifies complex data operations through a clear and readable syntax, whether working with data frames, tibbles, or databases. It is widely used in data science and statistical analysis workflows.



Features

  • Intuitive syntax for data manipulation
  • Works seamlessly with data frames and tibbles
  • SQL backend support for database operations
  • Powerful group and summarize tools
  • Pipes (%>%) for readable workflows
  • Highly optimized for performance


Programming Language

R


Categories

Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/dplyr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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