Introduction

Having mastered the fundamentals of R programming, data transformation, and visualization, it’s time to put these skills into practice with real-world scenarios. The following case studies demonstrate end-to-end data science workflows that you might encounter in professional settings.

In this chapter, you will:

• Connect R to external APIs (Google Analytics) for automated data retrieval.
• Apply cleaning, transformation, and visualization to real estate market data.
• Practice the full workflow: problem definition → data access → analysis → insights.

Each case introduces complementary libraries such as googleAnalyticsR for API access and lubridate for date manipulation, reinforcing patterns from earlier chapters while adding new practical tools.