adding cheatsheets and gut checks

modules/Data_Cleaning/Data_Cleaning.Rmd

@@ -618,6 +618,13 @@ data_ginger_mint %>%
   count(Group, Effect)
 ```
 
+## GUT CHECK: If we want all unspecified values to remain the same with `case_when()`, how should we complete the `TRUE ~` statement?
+
+A. With the name of the variable we are modifying or using as source
+
+B. With the word "same"
+
+
 # Working with strings
 
 ## Strings in R
@@ -734,14 +741,23 @@ data_ginger_mint %>%
   count(Treatment, Treatment_recoded)
 ```
 
-This is a more robust solution! It will catch typos as long as first letter is correct or there is part of the word mint.
+This is a more robust solution! It will catch typos as long as the first letter is correct or there is part of the word mint.
 
 ## That's better!
 
 ```{r, echo = FALSE, fig.align='center', out.width= "30%"}
 knitr::include_graphics("https://media1.giphy.com/media/S9ZK4mmi3u3jdc5dek/200w.webp?cid=ecf05e47h7myga959jwvek6s9x1tkog135g7pxu8vvjz2yqb&rid=200w.webp&ct=g")
 ```
 
+
+## GUT CHECK: What `stringr` function helps us find a string pattern?
+
+A. `str_replace()`
+
+B. `str_find()`
+
+C. `str_detect()`
+
 # Separating and uniting data
 
 ## Uniting columns 
@@ -806,6 +822,8 @@ knitr::include_graphics("images/case_when.png")
 
 📃 [Day 5 Cheatsheet](https://jhudatascience.org/intro_to_r/modules/cheatsheets/Day-5.pdf)
 
+📃 [Posit's `stringr` Cheatsheet](https://evoldyn.gitlab.io/evomics-2018/ref-sheets/R_strings.pdf)
+
 ```{r, fig.alt="The End", out.width = "50%", echo = FALSE, fig.align='center'}
 knitr::include_graphics(here::here("images/the-end-g23b994289_1280.jpg"))
 ```