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R for Data Science - Data Transformation (4)
R Data Transformations
Impact of transforming (scaling and shifting) random variables | AP Statistics | Khan Academy
Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable
R programming for beginners: Rename variables and reorder columns. Data cleaning and manipulation.
R Coding for Econometrics, Part 4: Variable Transformation and Creation
Data Visualization with R: Statistical Transformations
Transforming data using R
Data Transformation with R: Part 4
Data Transformation with R: Part 3
R for Data Science: Data transformation (r4ds07 4)
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Last Updated: September 29, 2026
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Summary
This video is part of an online course, In this video we cover the use of the filter function from the dplyr package. Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: ... This video is about how to recode The algorithm used to calculate new values for a graph is called a stat, short for statistical In this video, Hannah one of the Stats tutors from The University of Liverpool, demonstrates how to In this video, we discuss the use of the group_by function in the tidyverse. This video covers the basics of using the tidyverse package. In particular, we cover mutate and transmute. Dolleen Osundwa presents Chapter 4 ("