18 Data Report on Traditional Economic Indicators

The objective of this assignment is to develop a data report on economic indicators. The report should be prepared using R Markdown and must be a minimum of four pages long, containing both graphs and text.

Before you embark on your report, ensure you have thoroughly completed the preparations outlined in Chapter 18.1. Your report should comply with the guidelines articulated in Chapter 18.2 and Chapter 18.3. Upon completion, please submit your data report via the course website (Blackboard).

18.1 Preparations

To lay the groundwork for this assignment, work through the following chapters of this book:

• Chapter 10: Economic Indicators
• Chapter 11: Data Categorization
• Chapter 12: Data Transformation
• Chapter 13: Data Aggregation
• Chapter 14: Data Source
• Chapter 15: Temporal Patterns
• Chapter 16: Regional Patterns
• Chapter 17: Causal Relationships
• Chapter 18: Data Report on Traditional Economic Indicators

Additionally, complete the following DataCamp courses as guided by Chapter 8:

• Introduction to the Tidyverse
• Data Manipulation with dplyr
• (Optional: Reporting with R Markdown)

18.2 Data Guidelines

For the report, choose at least two of the economic indicators discussed in this module. Conduct a business cycle analysis and a regional comparison for the selected indicators.

18.3 R Markdown Guidelines

Your task is to construct a data report on economic indicators using R Markdown. If you need a primer on R Markdown, refer to Chapter 7. The final product, rendered by knitting your R Markdown file, should be a professional, dynamic PDF document that adheres to the same standards outlined in Chapter 9.3 for the data report on yield curves.