Re-order sections (background/learning up top)

README.Rmd

 - [**Tidy Data**](#tidy-data) — [`spread()` and `gather()`](#spread-and-gather)
 
 - Learn more about
+    - [Using the animations and images](#usage)
     - [Relational Data](#relational-data)
     - [gganimate](#gganimate)
     
+## Background
+
+### Usage
 
 Please feel free to use these images for teaching or learning about action verbs from the [tidyverse](https://tidyverse.org).
 You can directly download the [original animations](images/) or static images in [svg](images/static/svg/) or [png](images/static/png/) formats, or you can use the [scripts](R/) to recreate the images locally.
 Currently, the animations cover the [dplyr two-table verbs][dplyr-two-table] and I'd like to expand the animations to include more verbs from the tidyverse.
 [Suggestions are welcome!](https://github.com/gadenbuie/tidy-animated-verbs/issues)
 
+### Relational Data
+
+The [Relational Data](http://r4ds.had.co.nz/relation-data.html) chapter of the
+[R for Data Science](http://r4ds.had.co.nz/) book by Garrett Grolemund and Hadley Wickham
+is an excellent resource for learning more about relational data.
+
+The [dplyr two-table verbs vignette][dplyr-two-table]
+and Jenny Bryan's [Cheatsheet for dplyr join functions](http://stat545.com/bit001_dplyr-cheatsheet.html)
+are also great resources.
+
+### gganimate
+
+The animations were made possible by the newly re-written [gganimate] package by 
+[Thomas Lin Pedersen](https://github.com/thomasp85)
+(original by [Dave Robinson](https://github.com/dgrtwo)).
+The [package readme][gganimate] provides an excellent (and quick) introduction to gganimte.
+
 ## Mutating Joins
 
 ```{r intial-dfs}
 gather(wide, key, val, x:z)
 spread(long, key, val)
 ```
-
-## Learn More
-
-### Relational Data
-
-The [Relational Data](http://r4ds.had.co.nz/relation-data.html) chapter of the
-[R for Data Science](http://r4ds.had.co.nz/) book by Garrett Grolemund and Hadley Wickham
-is an excellent resource for learning more about relational data.
-
-The [dplyr two-table verbs vignette][dplyr-two-table]
-and Jenny Bryan's [Cheatsheet for dplyr join functions](http://stat545.com/bit001_dplyr-cheatsheet.html)
-are also great resources.
-
-### gganimate
-
-The animations were made possible by the newly re-written [gganimate] package by 
-[Thomas Lin Pedersen](https://github.com/thomasp85)
-(original by [Dave Robinson](https://github.com/dgrtwo)).
-The [package readme][gganimate] provides an excellent (and quick) introduction to gganimte.

README.md

 
   - Learn more about
     
+      - [Using the animations and images](#usage)
       - [Relational Data](#relational-data)
       - [gganimate](#gganimate)
 
+## Background
+
+### Usage
+
 Please feel free to use these images for teaching or learning about
 action verbs from the [tidyverse](https://tidyverse.org). You can
 directly download the [original animations](images/) or static images in
 [Suggestions are
 welcome\!](https://github.com/gadenbuie/tidy-animated-verbs/issues)
 
+### Relational Data
+
+The [Relational Data](http://r4ds.had.co.nz/relation-data.html) chapter
+of the [R for Data Science](http://r4ds.had.co.nz/) book by Garrett
+Grolemund and Hadley Wickham is an excellent resource for learning more
+about relational data.
+
+The [dplyr two-table verbs
+vignette](https://dplyr.tidyverse.org/articles/two-table.html) and Jenny
+Bryan’s [Cheatsheet for dplyr join
+functions](http://stat545.com/bit001_dplyr-cheatsheet.html) are also
+great resources.
+
+### gganimate
+
+The animations were made possible by the newly re-written
+[gganimate](https://github.com/thomasp85/gganimate#README) package by
+[Thomas Lin Pedersen](https://github.com/thomasp85) (original by [Dave
+Robinson](https://github.com/dgrtwo)). The [package
+readme](https://github.com/thomasp85/gganimate#README) provides an
+excellent (and quick) introduction to gganimte.
+
 ## Mutating Joins
 
 <img src="images/static/png/original-dfs.png" width="480px" />
 #> 1     1 a     c     e    
 #> 2     2 b     d     f
 ```
-
-## Learn More
-
-### Relational Data
-
-The [Relational Data](http://r4ds.had.co.nz/relation-data.html) chapter
-of the [R for Data Science](http://r4ds.had.co.nz/) book by Garrett
-Grolemund and Hadley Wickham is an excellent resource for learning more
-about relational data.
-
-The [dplyr two-table verbs
-vignette](https://dplyr.tidyverse.org/articles/two-table.html) and Jenny
-Bryan’s [Cheatsheet for dplyr join
-functions](http://stat545.com/bit001_dplyr-cheatsheet.html) are also
-great resources.
-
-### gganimate
-
-The animations were made possible by the newly re-written
-[gganimate](https://github.com/thomasp85/gganimate#README) package by
-[Thomas Lin Pedersen](https://github.com/thomasp85) (original by [Dave
-Robinson](https://github.com/dgrtwo)). The [package
-readme](https://github.com/thomasp85/gganimate#README) provides an
-excellent (and quick) introduction to gganimte.