Data Manipulation in R with dplyr

Published: 01 January 1970
on channel: Python & R For Data Science
107
3

Data manipulation is a way of modifying a dataset
It is the process of making data more organized and useful.
Common packages used in data manipulation in R are:
dplyr
data.table

Our focus on is this session is [dplyr](https://dplyr.tidyverse.org/)
dplyr is part of the [**tidyverse**](https://www.tidyverse.org/)
dplyr has 5 main verbs used for the common data manipulation tasks.
`mutate()` adds new variables that are functions of existing variables
`select()` picks variables based on their names.
`filter()` picks cases based on their values.
`summarise()` reduces multiple values down to a single summary.
`arrange()` changes the ordering of the rows.
These all combine naturally with `group_by()` which allows you to perform any operation **by group**.


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