Nathan Stephens

Showing of

Nathan Stephens | Make PowerPoint Presentations with R Markdown | RStudio (2018)

Data scientists use R Markdown documents to create reproducible code that can be rendered in a variety of output types. Some of the most common output types include HTML, Word, and PDF, but new improvements make it possible to create PowerPoint presentations as well. PowerPoint presentations are still common currency for sharing insights in most organizations today. 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.

About Nathan: 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

rstudio Shiny RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Forcats Rstats Open Source Oss Reticulate Nathan Stephens

Nathan Stephens

Nathan Stephens | Best Practices for Administering RStudio in Production | RStudio (2019)

Nathan Stephens | Make PowerPoint Presentations with R Markdown | RStudio (2018)