making changes based on comments

Author: leem44

preface-text.Rmd

@@ -15,7 +15,7 @@ If you analyze some data and give your analysis to a friend or colleague, they s
 be able to re-run the analysis from start to finish and get the same result you did (*reproducibility*).
 They should also be able to see and understand all the steps in the analysis, as well as the history of how
 the analysis developed (*auditability*). Creating reproducible and auditable 
-analyses allows both yourself and others to easily double-check and validate your work.
+analyses allows both you and others to easily double-check and validate your work.
 
 At a high level, in this book, you will learn how to 
 
@@ -33,7 +33,7 @@ six chapters, you will learn how to answer predictive, exploratory, and inferent
 data analysis questions with common methods in data science, including
 classification, regression, clustering, and estimation.
 In the final chapters 
-(\@ref(getting-started-with-jupyter) - \@ref(move-to-your-own-machine)), 
+(\@ref(getting-started-with-jupyter)—\@ref(move-to-your-own-machine)), 
 you will learn how to combine R code, formatted text, and images
 in a single coherent document with Jupyter, use version control for
 collaboration, and install and configure the software needed for data science