R Data visualization source: https://www.r-bloggers.com/ prepared by Volkan OBAN

1. > library(tidyr)
> library(ggplot2)
> mtcars %>% gather(-mpg, -hp, -cyl, key = "var", value = "value") %>% ggpl
ot(aes(x = value, y = mpg, color = hp, shape = factor(cyl))) + geom_point()
+ facet_wrap(~ var, scales = "free") + theme_bw()
>
am carb disp
drat gear qsec
vs wt
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
10
15
20
25
30
35
0.00 0.25 0.50 0.75 1.00 2 4 6 8 100 200 300 400
3.0 3.5 4.0 4.5 5.0 3.0 3.5 4.0 4.5 5.0 16 18 20 22
0.00 0.25 0.50 0.75 1.00 2 3 4 5
value
mpg
factor(cyl)
4
6
8
100
150
200
250
300
hp

2. > mtcars %>% gather(-mpg, key = "var", value = "value") %>% ggplot(aes(x =
value, y = mpg)) + geom_point() + stat_smooth() + facet_wrap(~ var, scales
= "free") + theme_bw()
am carb cyl disp
drat gear hp qsec
vs wt
10
15
20
25
30
35
10
20
30
10
15
20
25
30
35
10
15
20
25
30
35
10
20
30
40
10
15
20
25
30
35
10
20
30
10
15
20
25
30
35
10
15
20
25
30
35
10
20
30
0.000.250.500.751.00 2 4 6 8 4 5 6 7 8 100 200 300 400
3.0 3.5 4.0 4.5 5.0 3.0 3.5 4.0 4.5 5.0 100 200 300 16 18 20 22
0.000.250.500.751.00 2 3 4 5
value
mpg