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R Academy · Lesson

Data Wrangling with dplyr

Learn to filter, arrange, select, mutate, and summarize data effectively using dplyr.

1

Introduction to Data Wrangling with dplyr

The dplyr package provides powerful tools for filtering, arranging, selecting, and summarizing data in R.

Data Wrangling with dplyr — illustration 1

2

Filtering Rows

The filter() function selects rows based on conditions.

library(dplyr)
data <- mtcars %>% filter(mpg > 20)

All lessons in this course

  1. Introduction to Tidyverse
  2. Data Wrangling with dplyr
  3. Tidying Data with tidyr
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