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Data Manipulation with R

Real-world data is messy. That’s why packages like dplyr and tidyr are so valuable. Using these packages, you can take the pain out of data manipulation by extracting, filtering, and transforming your data, clearing a path for quick and reliable data analysis. If you want to improve your data wrangling skills, this is the track for you. You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple tables. You’ll also gain hands-on experience of how to combine, merge, and create visualizations. You'll apply your new-found data manipulation skills using dplyr to analyze voting data from the United Nations. Start this track and discover how dplyr and tidyr can save you time manipulating data.

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Data Manipulation with dplyr

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hours

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James Chapman

Curriculum Manager, DataCamp

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