> data %>% select(2:7) %>% filter(cylinders == 8, acceleration >
15.3) %>% group_by(model.year) #Groups rows together based on
attribute values
cylinders
<int>
displacement
<dbl>
horsepower
<fctr>
weight
<int>
acceleration
<dbl>
model.year
<int>
8
8
8
8
8
8
8
8
8
8
1
2
3
4
5
6
7
8
9
10
304
302
302
304
260
260
305
350
260
350
193
140
140
150
110
110
130
125
90
105
18.5
16.0
16.0
15.5
19.0
15.5
15.4
17.4
22.2
19.0
70
72
74
74
77
78
79
79
79
81
4732
4294
4638
4257
4060
3365
3840
3900
3420
3725
Source: local data frame [10 x 6]
Groups: model.year [7]
8.2EXPLORATORY DATA ANALYSIS
Now we know how to import data into R and also have a basic familiarity with the techniques
of data manipulation, let us move ...
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