Data Wrangling in R

Data Wrangling in R

Website or Online Data - 2017
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Tidy data is a data format that provides a standardized way of organizing data values within a dataset. By leveraging tidy data principles, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling aspects of data analysis. 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 substantial portion of analysts' time. He wraps up with three hands-on case studies that help to reinforce the data wrangling principles and tactics covered 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.
Publisher: Carpenteria, CA : lynda.com, 2017
Copyright Date: ©2017
Characteristics: 1 online resource
Additional Contributors: lynda.com (Firm)
Call Number: eResearch

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