Awesome R

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R is a programming language and free software environment for statistical 
computing and graphics supported by the R Foundation for Statistical Computing

Table of contents

• Official Websites
• R at YouTube
• R Notebooks
• Tools
• Blogs
• Books
• Groups
• Cases and Articles
• Learning
  • Statistics
• Datasets
• R vs Python
• Summits and Conferences

Official Websites

• The R Project for Statistical Computing
• CRAN - The Comprehensive R Archive Network
• MRAN - Microsoft R Application Network

R at YouTube

sorted alphabetically ❤️

• R Programming by Tutorials Point (India)

R Notebooks

• R Markdown
• Try Jupyter

Tools

• RStudio
• R Tools for Visual Studio

Blogs

• R Bloggers
• Studio Blog

Books

R Books

• R for Data Science - Import, Tidy, Transform, Visualize, and Model Data
• Practical Statistics for Data Scientists - 50 Essential Concepts

Groups

LinkedIn Groups

• R|Python, MSSQL and Data Science Community - Rolando Rangel

Cases and Articles

Cases

• Animated Bar Chart
• Recreating the vaccination heatmaps in R

Articles

• Exploratory Data Analysis in R

Learning

Statistics

• The 5 Basic Statistics Concepts Data Scientists Need to Know
• Mean and Median - Stat Trek
  • R - Mean, Median, Mode
• Understanding and interpreting box plots
  • Boxplots - Quick-R

Datasets

• Awesome Datasets

R vs Python

• TIOBE Index for R
• TIOBE Index for Python
• R vs Python: What’s The Difference?
• R vs Python vs Scala - Google Trend
• Choosing R or Python for Data Analysis? An Infographic
• R Vs Python: What’s the Difference? - R and Python are both open-source programming languages with a large community. New libraries or tools are added continuously to their respective catalog. R is mainly used for statistical analysis while Python provides a more general approach to data science.

Summits and Conferences

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