Data Structures & EDA using R (Reproducible Script)

This repository converts an interactive R console transcript into a clean, runnable script that demonstrates core R skills and exploratory data analysis (EDA). It also includes a PDF for a related analytics project: predicting second heart attack risk.

What's Inside

• lab1_analysis.R — cleaned and commented R script covering:
  • Reading data with read.table
  • Inspecting with head, tail, summary
  • Subsetting columns and computing cor
  • Working with vectors, factors, lists, matrices, and tables
  • Defining simple helper functions (std, tellme)
  • Saving intermediate objects to data/Labs.RData
• docs/Second_Heart_Attack_Risk_Analysis.pdf — PDF

How to Run

1. Place lab1_01.txt and lab1_02.txt in the data/ folder.
2. Open R/RStudio and set your working directory to the project root (or use RStudio Projects).
3. Run:

   source("lab1_analysis.R")

   Outputs (summaries, tables, correlations) will print in the console. A data/Labs.RData file will be created.

Skills Demonstrated

• Data wrangling & EDA
• Understanding R data structures (vectors, factors, lists, matrices, tables, data frames)
• Writing reusable helper functions
• Reproducible project structure & relative paths

Tools

• R, RStudio

Notes

• The script uses relative paths (no hard-coded setwd()), so it runs from the project root.
• Original data is not included. Add your own copies to data/.

Citation

Exercises inspired by:

• Data Science and Big Data Analytics (EMC Education Services).