R Programming Crash Course

Overview

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Dive into a comprehensive crash course on R programming, covering fundamental concepts and practical applications. Learn about R's origins, installation process, and RStudio setup before exploring essential topics such as variables, data types, vectors, lists, matrices, arrays, factors, and data frames. Master data cleaning techniques using dplyr, create stunning visualizations with ggplot2, and conduct exploratory data analysis. Discover how to import data into R and explore useful packages to enhance your programming skills. Perfect for beginners and those looking to refresh their R knowledge, this tutorial provides a solid foundation for data analysis and visualization using R.

Syllabus

Intro.
About R.
Installing R.
Installing RStudio.
How to make R files.
RStudiio panes and basic Hotkeys.
Variables.
Data Types.
Vectors.
Lists.
Matrix.
Arrays.
Factors.
Data Frames.
FUN STUFF STARTS.
Dpylr Data Cleaning.
Making Beautiful Charts With GGPLOT2.
Exploratory Data Analysis Example.
Importing Your Data Into R.
Some Very Useful Packages.
Outro.