The pinnacle of a data science project is often the presentation of your findings. Data science is, after all, about deriving insights from data and then sharing those insights with others. This course shows how to design high-quality reports and presentations, including interactive web experiences and printable PDFs, using R Markdown and RStudio, the authoring framework designed specifically for data science. Instructor Martin John Hadley starts with an overview of the PDF and HTML reporting options. He then shows how to include R code in your documents and add visual interest with slides, charts, images, and tables. Plus, learn how to customize the styles in your document, override markdown, and insert prebuilt data visualizations with htmlwidgets. Last but not least, Martin explains how to publish your R Markdown documents for sharing and distribution.

Topics include:

What is R Markdown?

Writing PDF and HTML reports

Writing HTML presentations

Setting up LaTeX and BibTeX

Including R code in R Markdown documents

Formatting text

Including code from script files

Creating slides

Using ggplot2 charts

Inserting images and tables

Creating captions with bookdown

Customizing styles

Overriding markdown

Using htmlwidgets

Publishing R Markdown HTML

Homepage: https://www.lynda.com/RStudio-tutorials/Creating-Reports-Presentations-R-Markdown-RStudio/699348-2.html