79 lines (65 loc) · 2.78 KB

R Interactive Coding - 40 Levels Roadmap

Overview

Complete R learning path from absolute beginner to data science expert with 40 interactive coding levels.

Level Structure

Each level contains:

Title: Short descriptive name
Description: What students will learn
Exercises: 3-5 hands-on coding challenges
XP Reward: Points for completion
Unlock System: Sequential progression

Complete Roadmap

🟢 Beginner Section (Levels 1-12)

Foundation Basics (1-6)

Level 1: Introduction - R for data science
Level 2: Variables - Assignment operators
Level 3: Data Types - numeric, character, logical
Level 4: Vectors - Basic data structure
Level 5: Vector Operations - Arithmetic
Level 6: Print and Cat - Output functions

Control Flow (7-12)

Level 7: If Statements - Conditional logic
Level 8: Ifelse Function - Vectorized conditions
Level 9: For Loops - Iteration
Level 10: While Loops - Conditional loops
Level 11: Repeat Loops - Infinite loops
Level 12: Functions - Creating functions

🟡 Intermediate Section (Levels 13-28)

Data Structures (13-18)

Level 13: Matrices - 2D data
Level 14: Arrays - Multi-dimensional data
Level 15: Lists - Mixed data types
Level 16: Data Frames - Tabular data
Level 17: Factors - Categorical data
Level 18: Data Frame Operations - Subsetting

Data Manipulation (19-24)

Level 19: Indexing - Accessing elements
Level 20: Filtering - Conditional selection
Level 21: Apply Family - lapply, sapply, tapply
Level 22: Merge and Join - Combining data
Level 23: Reshape - Wide and long format
Level 24: String Operations - grep, gsub

Data Import/Export (25-28)

Level 25: Reading CSV - read.csv
Level 26: Writing CSV - write.csv
Level 27: Reading Excel - readxl package
Level 28: JSON and XML - Data formats

🟠 Advanced Section (Levels 29-40)

Data Visualization (29-34)

Level 29: Base Plots - plot, hist, boxplot
Level 30: ggplot2 Basics - Grammar of graphics
Level 31: Scatter Plots - Relationships
Level 32: Bar Charts - Categorical data
Level 33: Line Graphs - Time series
Level 34: Customization - Themes and labels

Statistical Analysis (35-40)

Level 35: Descriptive Statistics - mean, median, sd
Level 36: Probability Distributions - Normal, binomial
Level 37: Hypothesis Testing - t-test, chi-square
Level 38: Linear Regression - lm function
Level 39: Correlation - cor and cov
Level 40: Capstone Project - Data analysis report

XP Distribution

Beginner (1-12): 80-120 XP per level
Intermediate (13-28): 120-170 XP per level
Advanced (29-40): 170-240 XP per level