Another ‘big five’ function in dplyr, select is used in almost every data cleaning task I perform.
library('tidyverse')
library('nycflights13')
Select
In a data frame with numerous variables it’s easy become overwhelmed and
broad with analysis. select() reduces the number of variables in a
data frame, only keeping variables that the user inputs as arguments. In
this example, flights are reduced from 19 variables to the variables
year, month and day.
select(flights, year:day)
## # A tibble: 336,776 x 3
## year month day
## <int> <int> <int>
## 1 2013 1 1
## 2 2013 1 1
## 3 2013 1 1
## 4 2013 1 1
## 5 2013 1 1
## 6 2013 1 1
## 7 2013 1 1
## 8 2013 1 1
## 9 2013 1 1
## 10 2013 1 1
## # … with 336,766 more rows
Thanks for reading!
- Fisher
Comments