Data Analysis and Visualization with R for beginners [Free Online Course] - TechCracked

Data exploration and Visualization using R

What you'll learn

• Install R and RStudio
• Create new R Projects
• Create R variables (objects)
• Install and load R Packages
• Import data into R Studio
• Perform data wrangling on your data
• Pipe several functions into a dataset using the Pipe function
• Create data visualizations using graphs
• Read data into a variable

Description

R is a programming language. R is often used for statistical computing and graphical presentation to analyse and visualize data.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

• an effective data handling and storage facility,
• a suite of operators for calculations on arrays, in particular matrices,
• a large, coherent, integrated collection of intermediate tools for data analysis,
• graphical facilities for data analysis and display either on-screen or on hardcopy, and
• a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

R can be extended (easily) via packages. There are about eight packages supplied with the R distribution and many more are available through the CRAN family of Internet sites covering a very wide range of modern statistics.

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.

Also See : Tableau 2022 -Data Science From Zero to Hero + Certification

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