markdown source builds

Auto-generated via {sandpaper}
Source  : 38bf6ff
Branch  : main
Author  : Naupaka Zimmerman <naupaka@gmail.com>
Time    : 2024-09-21 23:49:55 +0000
Message : Merge pull request #900 from bervelin-lumesa/patch-1

adding a link to an online book as a ressource

01-rstudio-intro.md

@@ -643,7 +643,7 @@ function (name, pos = -1L, envir = as.environment(pos), all.names = FALSE,
     }
     else all.names
 }
-<bytecode: 0x55695757ae10>
+<bytecode: 0x558f94af9d80>
 <environment: namespace:base>
 ```
 

02-project-intro.md

@@ -190,7 +190,7 @@ ls -lh data/gapminder_data.csv
 ```
 
 ``` output
--rw-r--r-- 1 runner docker 80K Sep 18 00:17 data/gapminder_data.csv
+-rw-r--r-- 1 runner docker 80K Sep 21 23:51 data/gapminder_data.csv
 ```
 
 The file size is 80K.

03-seeking-help.md

@@ -182,7 +182,7 @@ attached base packages:
 
 loaded via a namespace (and not attached):
 [1] compiler_4.4.1  tools_4.4.1     yaml_2.3.10     knitr_1.48     
-[5] xfun_0.46       renv_1.0.7      evaluate_0.24.0
+[5] xfun_0.47       renv_1.0.8      evaluate_0.24.0
 ```
 
 Will print out your current version of R, as well as any packages you

12-dplyr.md

@@ -657,6 +657,7 @@ lifeExp_2countries_bycontinents <- gapminder %>%
 - [Data Wrangling Cheat sheet](https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf) (pdf file)
 - [Introduction to dplyr](https://dplyr.tidyverse.org/) (online documentation)
 - [Data wrangling with R and RStudio](https://www.rstudio.com/resources/webinars/data-wrangling-with-r-and-rstudio/) (online video)
+- [Tidyverse Skills for Data Science](https://jhudatascience.org/tidyversecourse/) (online book)
 
 :::::::::::::::::::::::::::::::::::::::: keypoints
 

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