solution for first notebook

asteves · asteves · commit c42c6c7663b7 · 2021-06-15T16:45:49.000-05:00
diff --git a/solutions/01_solutions.md b/solutions/01_solutions.md
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+## Why Functional Programming Solutions 
+
+### Challenge 1
+
+Explain why this solution is not very efficient. (e.g., If `df$a[df$a == -99] <- NA` has an error, how are you going to fix it?) 
+
+**Answer** A solution is not scalable if it's not automatable and, thus, scalable.
+
+### Challenge 2 
+
+Why is using function more efficient than 100% copying and pasting? Can you think about a way we can automate the process?
+
+**Answer** There are multiple reasons. Functions use less code overall, reducing the amount we type and have to debug. Functions can be reused, allowing us to scale and automate a process. 
+
+### Challenge 3 
+
+If you run the code below, what's going to be the data type of the output?
+
+
+```{r}
+
+map_chr(df, fix_missing)
+
+```
+
+**Answer** The code will return a named character vector of NAs
+
+
