R Programming For beginners

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247 Learning

1:53:57

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1. Setting Up R Environment

1. Introduction.mp4

00:20

2. What is R.html

3. Installing R on Windows.mp4

02:01

4.1 Download+and+install+R+on+Mac.pdf

4. Installing R on Macs.html

5. What is R Studio.html

6. Installing R Studio on Windows.mp4

01:50

7.1 Download+and+install+R+Studio.pdf

7. Installing R Studio on Macs.html

8. Exploring R Studio default interface.mp4

09:32

9. Creating a new project in R Studio.mp4

05:34

10. What are packages.html

11. How to install packages.mp4

04:19

12. Loading Packages.mp4

06:38

13.1 sydneybeaches.csv

13. Importing data into R Studio.mp4

05:44

14. How to read data in a csv file with R.mp4

06:28

15. Install Janitor Package.mp4

03:30

2. Data Analysis & Visualization with R

1. Cleaning columns.mp4

11:18

2. Selecting a subset of data.mp4

04:53

3. Performing multiple operations with pipe operator.mp4

09:36

4. Creating new columns from existing columns.mp4

10:00

5. Create a new R Project.mp4

05:02

6.1 chocolate.csv

6. Load data into new project.mp4

06:08

7. Perform Data Wrangling.mp4

12:25

8. Create a bar graph.mp4

08:39

Description

Learn R Programming for Data Science and Data Analysis

What You'll Learn?

Install R and RStudio
Create R script
Create new R Projects
Install and load packages
Clean data with R
Pipe functions into datasets
Visualize your data using base R graphics
Analyse Data
Create objects (variables)

Who is this for?

Beginners to R

More details

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

The R language is widely used among statisticians and data miners for developing statistical software and data analysisÂ .Â R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

â€¢Â Â an effective data handling and storage facility,

â€¢Â Â a suite of operators for calculations on arrays, in particular matrices,

â€¢Â Â a large, coherent, integrated collection of intermediate tools for data analysis,

â€¢Â Â graphical facilities for data analysis and display either on-screen or on hardcopy, and

â€¢Â Â a well-developed, simple and effective programming language which includes conditionals,Â Â loops, user-defined recursive functions and input and output facilities.

RStudio is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
R is installed on your computer and uses your personal computer resources to process R programming language. RStudio integrates with R as an IDE (Integrated Development Environment) to provide further functionality. RStudio combines a source code editor, build automation tools and a debugger.
In this courseÂ we will setup an R environmentÂ and perform data analysis and visualisation.
Who this course is for:
Beginners to R

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