Data Wrangling

RStudio 1.1.x
  • 17 Videos | 1h 27m 53s
  • Includes Assessment
  • Earns a Badge
Likes 13 Likes 13
Data science requires you to gather, filter, transform, and explore data sets. Examine data wrangling in R by working with the dplyr library, data manipulation using the tidyr library, and data extraction with the readr library.

WHAT YOU WILL LEARN

  • recognize common tasks and libraries for data wrangling in R
    identify the features of the dplyr library for data wrangling in R
    use dplyr and related functions to explore data frames
    examine subsets of data using dplyr's filtering functions
    use dplyr's pipe operator "%>%" to compose functions
    mutate tabular data with dplyr to compute new columns
    use dplyr's summary functions
    use dplyr's select function and its features
    combine data sets using dplyr's join functions
  • apply set operations to tables using dplyr
    order rows in tabular data with dplyr's arrange function
    identify the features of the tidyr library for data wrangling in R
    use tidyr's gather function
    use tidyr's separate function
    use the readr library to extract csv data
    use the readxl library to extract Excel data
    manipulate a data set using multiple dplyr verbs

IN THIS COURSE

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Likes 290 Likes 290  
Likes 98 Likes 98  

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Likes 262 Likes 262  
Likes 96 Likes 96  
Likes 24 Likes 24