Creating Reports and Presentations with R Markdown and RStudio

Course details

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 Charlie Hadley starts with an overview of the PDF and HTML reporting options. She 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, Charlie explains how to publish your R Markdown documents for sharing and distribution.

Learning objectives
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

Concepts

0. Introduction

01 - Report your data with R Markdown
02 - What you should know

1. What Can You Build with R Markdown

03 - What is Markdown
04 - What is R Markdown
05 - Writing PDF reports in R Markdown
06 - Writing HTML reports in R Markdown
07 - Writing HTML presentations in R Markdown
08 - What else can you build with R Markdown

2. Setting Up LaTeX for R Markdown PDF Outputs

09 - What are LaTeX and BibTeX
10 - Setting up TeX for generating R Markdown reports
11 - Installing Pandoc

3. Understanding the Basics of R Markdown Documents

12 - Installing R Markdown
13 - R Markdown, knitting, and generating outputs
14 - The YAML header of an .Rmd file
15 - Code chunks and global code chunk settings
16 - Writing and running R code in R Markdown files
17 - Splitting documents into sections or slides in R Markdown
18 - Tabbed sections in R Markdown HTML reports
19 - Formatting text in R Markdown files
20 - Bullets and lists in R Markdown

4. Preventing Gotchas

21 - Name your code chunks sensibly
22 - Including code from script files

5. Creating Slides in R Markdown

23 - What are Slidy, ioslides, and Beamer
24 - Features of ioslides presentations
25 - Features of Slidy presentations
26 - PDF presentations with Beamer

6. Using ggplot2 Charts in R Markdown

27 - ggplot2 and plots in R Markdown documents
28 - Globally set figure size
29 - Change the size of individual outputs

7. Inserting Images into R Markdown Output

30 - Inserting images with include graphics()
31 - Inserting images using raw HTML
32 - Inserting images using raw LaTeX
33 - Inserting URL based images using raw LaTeX

8. Inserting Tables into R Markdown Output

34 - Displaying tables in R Markdown
35 - Markdown tables in .Rmd
36 - Formatting printed data.frames and Tibbles
37 - Formatting tables with kable()
38 - Interactive tables with DT

9. Captions with bookdown

39 - Captions in R Markdown
40 - Captions with bookdown

10. Customizing Styles in R Markdown

41 - Using custom styles in R Markdown
42 - Styling HTML reports in R Markdown
43 - Styling PDF reports in R Markdown

11. Overriding Markdown in .Rmd

44 - Overriding Markdown in .Rmd files
45 - Display LaTeX or HTML in .Rmd files
46 - Run LaTeX in PDF documents
47 - Run HTML in R Markdown

12. htmlwidgets and R Markdown

48 - htmlwidgets and R Markdown
49 - htmlwidgets in PDF .Rmd documents
50 - htmlwidgets in HTML .Rmd documents

13. Publishing R Markdown HTML Content to RPubs.com

51 - Publishing with RPubs.com
52 - Publishing R Markdown HTML to the web

Conclusion

53 - Next steps