Dplyr

blog

RStudio Professional Drivers 1.8.0

June 28, 2021 |

Announcing the 1.8.0 release of the RStudio Professional Drivers, with a fully supported Snowflake driver, a more compatible NTLMv2 support for the Microsoft SQLServer driver, and other updated drivers.

blog

RStudio Professional Drivers 1.7.0

March 10, 2021 |

Announcing the 1.7.0 release of the RStudio Professional Drivers, which includes security updates, a preview release of the Snowflake driver, an updated Oracle driver, and other changes.

blog

Exploring US COVID-19 Cases and Deaths

December 23, 2020 |

Arthur Steinmetz, former Chairman, CEO, and President of OppenheimerFunds, uses R and the tidymodels package to explore the relationship between COVID-19 cases and mortality in the US.

rstudio::conf 2019

Databases using R: The latest

January 23, 2019 |

Learn about the latest packages and techniques that can help you access and analyze data found inside databases using R. Many of the techniques we will cover are based on our personal and the communit

Webinars

Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.

February 7, 2018 |

Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables Tidyverse users to write reusable functions and pipeline wrappers.

Webinars

Tidyverse visualization manipulation basics

September 14, 2017 |

This introduction to the tidyverse will cover several best practices for analyzing data with R.

Webinars

What's new in dplyr 0.7.0

June 22, 2017 |

dplyr provides a “grammar” of data transformation, making it easy and elegant to solve the most common data manipulation challenges.

Webinars

Data wrangling with R and RStudio

October 24, 2016 |

Before an R program can look for answers, your data must be cleaned up and converted to a form that makes information accessible.

The Grammar and Graphics of Data Science

April 14, 2016 |

Data science is the process of turning data into understanding and actionable insight. Two key data science tools are data manipulation and visualization.

Webinars

Working with Big Data in R

January 28, 2016 |

R is the go to language for data exploration and development, but what role can R play in production with big data?

R Packages

January 1, 0001 |