From 3d2651f8d8e1a2b1e78eb099de2642cb61d004bd Mon Sep 17 00:00:00 2001 From: Martin Monkman Date: Wed, 6 Mar 2019 20:44:01 -0800 Subject: [PATCH] restructure summary --- 01_Introduction.Rmd | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/01_Introduction.Rmd b/01_Introduction.Rmd index c08068b..1be7726 100644 --- a/01_Introduction.Rmd +++ b/01_Introduction.Rmd @@ -24,11 +24,14 @@ The paragraphs above are a long-winded way of saying that I acknowledge that wha ## Structure -The book's layout is in four broad categories: +The book's layout is currently in six broad categories: -### Data Science +### Data Science \@ref(DataScience) -* **Chapter \@ref(practice): Statistical & Data Science Practice** is an overview of good research practice, from opinionated analysis design to script style. +Combining chapters about the scope and definitions of data science (Chapter \@ref(datasciencedefined): This thing called "data science"), along with overviews of good research practice, from opinionated analysis design to script style (Chapter \@ref(practice): Statistical & Data Science Practice). + + +### Data @@ -44,9 +47,12 @@ The book's layout is in four broad categories: * **Chapter \@ref(textanalysis): Text Analysis & Text Mining** covers ways of tackling text mining, including natural language processing (NLP) and sentiment analysis. -### Other Topics +### Other Methods + +Text analytics and spatial statistics. + -Everything from spatial stats to text analytics +### Communication ## Other notes