Business Intelligence with Applications in R
Preface
I Foundations
1 What is Business Intelligence?
2 Case Study: Introducing the Data
3 Getting Started with R, RStudio and Posit.Cloud
4 Case Study: First Look at Data Analysis
II Data Preparation & Exploration
5 Data Preparation and Cleaning
6 Case Study: Loading and Cleaning the Data
7 Data Visualization
8 Chapter: Visualizing Absenteeism
III Modeling & Mining
9 Modeling and Model Building
10 Case Study: Regression Models
11 Data Mining
12 Case Study: Anomaly Detection
IV BI in Practice
13 Spec-Driven Development in BI
14 Case Study: Building a BI Project from Spec
15 Dashboards and Reporting
16 Case Study: Building a BI Dashboard
Appendix
Installing R, RStudio, and Claude Code
Quarto Reference

Business Intelligence with Applications in R

16.2 Building with flexdashboard or Quarto Dashboard

Content to be written.