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Put Shiny applications online
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Do, share, teach and learn data science
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A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
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RStudio Public Package Manager
RStudio Package Manager
Nathan has a background in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a long time user of R.
July 2, 2019
There are many limitations of using Excel for your reports. RStudio makes reports and applications easy (and reproducible) using R.
November 30, 2018
This webinar demonstrates how to create feature rich PowerPoint presentations from R Markdown and how to use these presentations to share insights, visualizations, Shiny apps, and more.
July 13, 2018
Many organizations do not officially recognize R as a standard or integrate R with IT managed systems. Yet these same organizations employ data science teams that use R on a daily basis.
March 4, 2018
November 30, 2017
RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases.
April 21, 2017
A model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modeling, and visualizing data, and ends with communication.
October 27, 2016
RStudio recently announced a new open-source package called sparklyr that facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib
May 5, 2016
RStudio Server Pro supports project sharing, collaborative editing, multiple versions of R, multiple concurrent R sessions, and many more powerful features.
Shiny Dev Con 2016
March 24, 2016