Data Wrangling with R (Path)
Data Wrangling with R (Path) by Dan Tofan
English | 2022 | Duration: 6 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 722 Mb
English | 2022 | Duration: 6 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 722 Mb
Data wrangling is the process of transforming and mapping data from one form into another, with the intent of making it more available for data analytics. This skill teaches common data wrangling practices employed with the R programming language.
Courses in this path
A: Beginner
You’ll learn different ways to combine, group and merge your data.
Merging Data Sources with R (Dan Tofan, 2019)
Splitting and Combining Data with R (Mariah Weatherford, 2019)
B: Intermediate
Normalize data to make it appropriate for an analysis with dplyr and reshape long and wide data for further analysis.
Reshaping Data with R (Okan Bulut, 2020)
C: Advanced
Transform data encoding to enable further analysis.
Encoding Data with R (Emilee McWilliams, 2020)
Homepage
https://anonymz.com/?https://www.pluralsight.com/paths/data-wrangling-with-r
Screenshots
Data Wrangling with R (Path)
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