📘 30 Days of R — Learning Journey

Welcome to my 30 Days of R challenge! This repository documents my learning journey as I explore R programming, practice real-world examples, and build a habit of coding regularly.

This challenge is progress-based, not calendar-based. I may not code every single day, but I will complete 30 meaningful learning sessions and track them here.

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🎯 Goal

Learn the fundamentals of R — including syntax, data structures, data wrangling, visualization, and basic statistical analysis — by completing 30 focused learning sessions.

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🗂️ Structure

Each learning session has its own folder:

Day01/
Day02/
Day03/
...
Day30/

Inside the folder, you may find:

• .R scripts (practice code)
• .Rmd notebooks (notes, examples, analyses)
• datasets used for exercises
• any mini-projects built during the session

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📅 Learning Progress

Note: This is a progress-based learning log. Sessions may not be completed on consecutive days.

Day	Topics Covered	Status
Day 01	Syntax, Comments & Operators	✅
Day 02	I/O, Variables & Data Types	✅
Day 03	Control Structures & Functions	✅
Day 04	Data Structures	✅
Day 05	Plots & Charts	✅
Day 06	Statistics	✅
Day 07	—	⏳
…	…	…

🧰 Tools Used

• R
• RStudio
• Tidyverse (dplyr, ggplot2, readr, etc.)
• Git & GitHub for version control

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💡 Why 30 Days?

A 30-session format keeps the challenge achievable and flexible. There's no pressure to complete all days consecutively — the goal is consistency over time, not perfection.

After completing this challenge, I may continue with:

• 100 Days of R
• project-based learning
• data analysis case studies
• machine learning in R

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📝 Notes

This repository is primarily for learning and practice. If you’re also beginning R, feel free to use this structure as inspiration for your own learning journey.