About R ProgrammingLearn More
R is a free software and programming language created by Ross Ihaka and Robert Gentleman in 1993. R has an extensive catalog of statistical and graphical methods. This software includes machine learning algorithms, linear regression, time series and statistical inference. Most R libraries are written in R, but for computationally heavy tasks, C, C++, and Fortran code are preferred.
R is not only taught academically, but many large companies use the R programming language, including Uber, Google, Airbnb, Facebook, and more.
Data analysis using R is done through the following steps: programming, transformation, discovery, modeling, and communication.
Programming: R is a simple and accessible programming tool.
Transform: R is built from a set of libraries designed specifically for data science.
Discovery: Examine the data, refine your hypothesis, and analyze it.
Modeling: R provides a wide range of tools to build a suitable model of your data.
Communicate: Combine code, graphs, and output with R Markdown reports or build R Shiny apps to share with the world
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Pluralsight
Emilee McWilliams
Creating Visualizations in R Using ggplot2: R Playbook 39:24
English subtitles
07/26/2023
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Pluralsight
Chase DeHan
Creating Special-purpose Plots: R Playbook 1:33:14
English subtitles
07/26/2023
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Pluralsight
Jason Browning, Ph.D.
Validating Data Using Asserts in R 55:08
English subtitles
07/26/2023
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Pluralsight
Martin Burger
Coping with Missing, Invalid, and Duplicate Data in R 2:00:48
English subtitles
07/26/2023
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Pluralsight
Martin Burger
Querying and Converting Data Types in R 2:06:10
English subtitles
07/26/2023
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Pluralsight
Martin Burger
Annotating ggplot2 Visualizations in R 2:00:28
English subtitles
07/26/2023
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Pluralsight
Justin Flett
Advanced Web Scraping Tactics: R Playbook 1:20:38
English subtitles
07/26/2023
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Linkedin Learning
Mark Niemann-Ross
Introduction to NLP Using R 2:32:05
English subtitles
07/16/2023
