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📊 Learning R with Swirl

Documenting my journey relearning R using the swirl interactive package.
Each folder contains my personal notes and practice scripts for every lesson completed.


🎯 Goal

Work through all 15 lessons of the R Programming course in swirl, documenting key concepts, code, and takeaways along the way.


📁 Repo Structure

learning-r-with-swirl/
├── README.md           # This file — overview & progress tracker
├── notes/              # Markdown notes per lesson
└── scripts/            # .R practice scripts per lesson

✅ Progress Tracker

# Lesson Status
1 Basic Building Blocks ✅ Done
2 Workspace and Files ✅ Done
3 Sequences of Numbers ✅ Done
4 Vectors ✅ Done
5 Missing Values ✅ Done
6 Subsetting Vectors ✅ Done
7 Matrices and Data Frames ✅ Done
8 Logic ⬜ Pending
9 Functions ⬜ Pending
10 lapply and sapply ⬜ Pending
11 vapply and tapply ⬜ Pending
12 Looking at Data ⬜ Pending
13 Simulation ⬜ Pending
14 Dates and Times ⬜ Pending
15 Base Graphics ⬜ Pending

🛠 Setup

install.packages("swirl")
library(swirl)
install_course("R Programming")
swirl()

📝 Notes

  • Each .R script in /scripts recreates the core concepts from the corresponding lesson
  • Each .md file in /notes is a plain-English summary written as if teaching someone else
  • Committing after every lesson to track progress over time

About

Step-by-step notes and takeaways from learning R using Swirl. A personal reference and progress log for mastering data analysis with R.

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