Bring back wrangle

_quarto.yml

@@ -68,14 +68,10 @@ book:
         - import-rectangular.qmd
         - import-spreadsheets.qmd
         - import-databases.qmd
+        - rectangle.qmd
         - import-webscrape.qmd
         - import-other.qmd
 
-    - part: tidy.qmd
-      chapters:
-        - list-columns.qmd
-        - rectangle.qmd
-
     - part: program.qmd
       chapters:
         - functions.qmd

import.qmd

@@ -1,4 +1,4 @@
-# Import {#sec-import-intro .unnumbered}
+# Wrangle {#sec-import-intro .unnumbered}
 
 ```{r}
 #| results: "asis"
@@ -6,10 +6,11 @@
 source("_common.R")
 ```
 
-In this part of the book, you'll learn how to get your into R.
-We'll focus on plain-text rectangular formats, spreadsheets, databases, and web data.
+In this part of the book, you\'ll learn about data wrangling, the art of getting your data into R in a useful form for visualisation and modelling.
+Data wrangling is very important: without it you can\'t work with your own data!
+Wrangle encompasses three parts of the data science flow: importing, tidying, and transforming.
 
-<!--# TO DO: Decide if a diagram is needed, see wrangle-intro for reference. -->
+![](diagrams/data-science-wrangle.png)
 
 This part of the book proceeds as follows:
 
@@ -18,7 +19,6 @@ This part of the book proceeds as follows:
 -   In [Chapter -@sec-import-spreadsheets], you'll learn how to get data from Excel spreadsheets and Google Sheets into R.
 
 -   In [Chapter -@sec-import-databases], you'll learn about getting data into R from databases.
-    <!--# TO DO: List which types of databases. -->
 
 -   In [Chapter -@sec-import-webscrape], you'll learn about harvesting data off the web and getting it into R.