The dplyr package is a popular R package that provides a grammar of data manipulation. It is a collection of functions that make it easy to select, filter, mutate, summarize, and arrange data frames. dplyr is very efficient, as many of its functions are coded in C++.
Here are some of the most important dplyr verbs:
- `select()`: Selects columns from a data frame.
- `filter()`: Filters rows from a data frame based on their values.
- `mutate()`: Creates new columns in a data frame by transforming existing columns.
- `summarize()`: Reduces multiple values down to a single summary.
- `arrange()`: Changes the order of the rows in a data frame.
dplyr can be used to perform a wide variety of data manipulation tasks. For example, you can use dplyr to:
- Clean up data by removing unwanted rows or columns.
- Create new features by transforming existing features.
- Summarize data by calculating summary statistics.
- Explore data by visualizing it.
