Data Wrangling in R

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Data Wrangling in R – Learn the data collection with the language of the r

Tidy data is a data format that provides a standardized way of organizing data values ​​within a dataset. By leveraging tidy data principals, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling data analysis aspects. In this course, learn about the principles of tidy data, and discover how to create and manipulate data tibbles-transforming them from source data into tidy formats. Instructor Mike Chapple uses the R programming language and the tidyverse packages to teach the concept of data wrangling-the data cleaning and data transformation tasks that consume a significant part of the analyst’s time. He wraps up with three hands-on case studies that help to strengthen the data wrangling principles and tactics covered in this course.

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Language of instruction: English
Moderator: Mike Chapple
Level of training :, Secondary
Time of training: 4 hours + 13 minutes
File size: 572 MB

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About the Author: Ho Quang Dai

I am Ho Quang Dai. Looking forward to receiving positive contributions from readers

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