Find out how to further integrate databases and R. We will cover the latest on plotting, correlations, predictions and even fitting models inside databases, but using R code. The packages that make this possible also integrate with the tidyverse and other tidymodels packages.
Edgar Ruiz is a solutions engineer at RStudio with a background in deploying enterprise reporting and business intelligence solutions. He is the author of multiple articles and blog posts sharing analytics insights and server infrastructure for data science. Edgar is the author and administrator of the https://db.rstudio.com web site. Co-author of the dbplyr package, and creator of the dbplot, tidypredict and modeldb packages.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Jenny Bryan is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. She’s part of Hadley’s team, working on R packages and integrating them into fluid workflows. She’s been working in R/S for over 20 years, serves in the leadership of rOpenSci and Forwards, and is an Ordinary Member of the R Foundation. Jenny is an Associate Professor of Statistics (on leave) at the University of British Columbia, where she created the course STAT 545.
Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. There will be approximately 60 minutes of presentation. While we usually have a question and answer session, there will be a lot of ground to cover during this presentation.
We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository. https://github.com/rstudio/webinars
If you can't attend, don't worry. We record (almost) every webinar and post all materials on our website within 48 hours. See past webinars at https://resources.rstudio.com/webinars
RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, RStudio Package Manager Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.