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R Programming Roadmap | SlaveCode
R Programming
Step-by-step guide to becoming an R developer in 2026
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Data Analyst Roadmap
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Python for Data Analysis
R vs Python
Installing R
Your First R Script
Introduction
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Basic Syntax
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Importing Data
Data Cleaning
Filter, Query, Arrange
Mutate & Transform
Group By & Summarize
Window Functions
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Map Functions
Working with Data Tables
Reshaping
String Manipulation
Regular Expressions
R Dates & Times
Strings and Dates
Summary Statistics
Exploratory Data Analysis
Base R Plotting
Grammar of Graphics
Aesthetic Mappings
Common Plots
Overplotting Techniques
Faceting & Themes
ggplot2
Best Practices
plotly
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Descriptive Statistics
Probability Distributions
Statistical Analysis
Sampling
Hypothesis Testing
Correlation
Linear Regression
Logistic Regression
Time Series Analysis
Debugging
Error Handling
tidymodels
renv
pak
CRAN
Positron
RStudio
VS Code
Installing Packages
Data Structures
Setting Up
JSON
IQR
Visual Inspection
isnull, isna
Dropping vs. Imputing
Forward / Backward Fill
Z-score
Parsing Dates
Encoding Categories
strip, replace, split
Casting Types
tidyverse
ggplot2
dplyr
tidyr
readr
lubridate
purrr
tibble
stringr
forcats
Pipe
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Data Manipulation
Distribution Analysis
Relationship Analysis
Dashboards
Power BI / Tableau
stats
rstatix
Machine Learning
Network Analysis
igraph
tidygraph
NLP
tidytext
quanteda
Geospatial Analysis
tmap
leaflet
sf
terra
Quarto
R Markdown
Parallel Computing
Sparklyr
Big Data Tools