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1
Intro
2
About R
3
Installing R
4
Installing RStudio
5
How to make R files
6
RStudiio panes and basic Hotkeys
7
Variables
8
Data Types
9
Vectors
10
Lists
11
Matrix
12
Arrays
13
Factors
14
Data Frames
15
FUN STUFF STARTS
16
Dpylr Data Cleaning
17
Making Beautiful Charts With GGPLOT2
18
Exploratory Data Analysis Example
19
Importing Your Data Into R
20
Some Very Useful Packages
21
Outro
Description:
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.

R Programming Crash Course

Traversy Media
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