Data Manipulation In R | Data Manipulation In R With dplyr | R Programming For Beginners|Simplilearn

This video on Data Manipulation in R will help you learn how to transform and summarize your data using different packages and functions. Here, you will see data manipulation in R with the dplyr package to select, filter, arrange, and mutate data. You will use the tidyr library to create tidy data. You will also look at functions such as gather, spread, separate, and unite. Let's begin this R Programming For Beginners!

The topics covered in this video on Data Manipulation in R are:
Introduction 00:00:00
Data Manipulation in R - dplyr 00:00:12
Data Manipulation in R - tidyr 00:25:55

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What Is R Programming?
R is an open-source programming language used for statistical computing. It is one of the most popular programming languages today. R was inspired by S+, which is similar to the S programming language. R has various data structures and operators. It can be integrated with other programming languages like C, C++, Java, and Python.

Data manipulation is the process of modifying data in order to make it simpler to read. Data is manipulated for analysis and visualization. The dplyr package is used to transform and summarize tabular data with rows and columns. We can get the dplyr package by calling the library function. Meanwhile, the tidyr package helps you create tidy data. A tidy data is easy to visualize and model.

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