Big Data Simplified

Working with Big Data inR | 203

Warning message:

Unknown variables: `buff1`, `buff2`

# Functions to select specific rows

>filter(data, cylinders == 8)#selects rows based on conditions

>filter(data, cylinders == 8, model.year> 75)

In R language, pipe (%>%) operator allows to pipe the output from one function to the input

of another function. Instead of nesting functions (reading from the inside to the outside), the

idea of piping is to read the functions from left to right.

   > data %>% select(2:7) %>% filter(cylinders == 8, model.year> 75)

%>% head(3)

cylinders

1

2

3

displacement horsepower weight acceleration model.year

8

8

8

304

307

305

150

200

140

12

15

13

87

85

76

3433

4376

4215

  > arrange(data,model.year) #Sorts ascending rows by a feature

cylinders ...