Preface
Four basic ingredients
1 Setting up
2 Data
3 R-Basics
4 R-Markdown
I Data Preprocessing
Introduction
5 Data Cleansing
6 Data Wrangling
7 Missing Values
8 Outliers
II Cookbook: Packages etc.
Introduction
9 Create a data package
10 Create R Markdown templates
11 Create RStudio project templates
- 11.1 Why do this?
12 Add interactive tutorials
III Cookbook: R Markdown sites
Introduction
13 Make a site
14 Make it yours
15 Caring for your site
16 Dress it up!
17 Make it fancier
IV Cookbook: Distill sites
Introduction
18 Make a Distill site
19 Make it yours
- 19.1 Adding new Distill articles
- 19.2 Grow your navbar
20 Dress it up!
- 20.1 Site sections
  - 20.1.1 Site footer
  - 20.1.2 Appendix
- 20.2 Sharing
21 Make it fancier
V Cookbook: Bookdown book
Introduction
22 Make a book
23 Make it yours
- 23.1 Creating new chapters
- 23.2 Putting your chapters in order
24 Missing Values
25 Transformations
26 Make it fancier
VI Cookbook: Blogdown sites
Introduction
27 Make a site
28 Make a site for a workshop
29 Make a site for a course
30 Make it fancier
Appendix
A CSS Crash Course
- A.1 What’s in a name?
- A.2 How do I change the color of….?
B Backlog
C Miscellaneous
D Spillover from distill
E Teaching and Learning with Jupyter Book Review
F R Markdown Themes
G What should I make
H Teaching learners
I What to do on day 1
J Licensing your content
K Remixing licensed content
L Community
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Statistics with R

Chapter 29 Make a site for a course

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