Chapter IDs and links to them

01-data-hello.qmd

@@ -1,11 +1,11 @@
+# Hello data {#sec-data-hello}
+
 ```{r}
 #| include: false
 
 source("_common.R")
 ```
 
-# Hello data {#data-hello}
-
 ::: {.chapterintro data-latex=""}
 Scientists seek to answer questions using rigorous methods and careful observations.
 These observations -- collected from the likes of field notes, surveys, and experiments -- form the backbone of a statistical investigation and are called **data**.

02-data-design.qmd

@@ -1,4 +1,4 @@
-# Study design {#data-design}
+# Study design {#sec-data-design}
 
 ```{r}
 #| include: false

03-data-applications.qmd

@@ -1,4 +1,4 @@
-# Applications: Data {#data-applications}
+# Applications: Data {#sec-data-applications}
 
 ```{r}
 #| include: false

introduction-to-data.qmd

@@ -1 +1,15 @@
 # Introduction to data {.unnumbered}
+
+In this part of the book you will be introduced to data, their properties, how they are collected, and the structure of the design used for the study.
+Different data and settings lead to different **types** of conclusions, so you\'ll always want to keep in mind the data provenance, especially as you move on to modeling and inference.
+
+-   In @sec-data-hello you\'ll be introduced to tidy data, and important structure for describing, visualizing, and analyzing data.
+
+-   In @sec-data-design the focus is on study design.
+    In particular, the important distinction between random sampling and randomization is made.
+
+-   @sec-data-applications includes an application on the Passwords case study where the topics from this part of the book are fully developed.
+
+We recommend you coming back to this part to review after you cover a new part in the textbook.
+In particular, it is worthwhile to consider \<a href = \>Figure 2.8 in all of the inferential settings you cover.
+Each dataset you analyze will have a slightly context which will require thoughtful consideration of the appropriate conclusions.