Summary of R for Data Science

library(tidyverse)
library(ggplot2)
library(tidyverse)
mpg

## # A tibble: 234 × 11
##    manufacturer model      displ  year   cyl trans drv     cty   hwy fl    class
##    <chr>        <chr>      <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
##  1 audi         a4           1.8  1999     4 auto… f        18    29 p     comp…
##  2 audi         a4           1.8  1999     4 manu… f        21    29 p     comp…
##  3 audi         a4           2    2008     4 manu… f        20    31 p     comp…
##  4 audi         a4           2    2008     4 auto… f        21    30 p     comp…
##  5 audi         a4           2.8  1999     6 auto… f        16    26 p     comp…
##  6 audi         a4           2.8  1999     6 manu… f        18    26 p     comp…
##  7 audi         a4           3.1  2008     6 auto… f        18    27 p     comp…
##  8 audi         a4 quattro   1.8  1999     4 manu… 4        18    26 p     comp…
##  9 audi         a4 quattro   1.8  1999     4 auto… 4        16    25 p     comp…
## 10 audi         a4 quattro   2    2008     4 manu… 4        20    28 p     comp…
## # ℹ 224 more rows

ggplot(data =   mpg)    +
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy))

ggplot(data =   mpg)    +
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy))

ggplot(data =   mpg)    +
  
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy,    color   =   class))

ggplot(data =   mpg)    +
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy,    color   =   class))

ggplot(data =   mpg)    +
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy,    shape   =   class))

ggplot(data =   mpg)    +
  geom_point(mapping    =   aes(x   =   displ,  y   =   hwy))   +
  facet_wrap(~  class,  nrow    =   2)