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plot(cars)

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library(ggplot2)
library(dplyr)
library(skimr)

glimpse(mpg)

Observations: 234
Variables: 11
$ manufacturer <chr> "audi", "audi", "audi", "audi", "audi", "audi", "audi", "audi", "audi"...
$ model        <chr> "a4", "a4", "a4", "a4", "a4", "a4", "a4", "a4 quattro", "a4 quattro", ...
$ displ        <dbl> 1.8, 1.8, 2.0, 2.0, 2.8, 2.8, 3.1, 1.8, 1.8, 2.0, 2.0, 2.8, 2.8, 3.1, ...
$ year         <int> 1999, 1999, 2008, 2008, 1999, 1999, 2008, 1999, 1999, 2008, 2008, 1999...
$ cyl          <int> 4, 4, 4, 4, 6, 6, 6, 4, 4, 4, 4, 6, 6, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 8...
$ trans        <chr> "auto(l5)", "manual(m5)", "manual(m6)", "auto(av)", "auto(l5)", "manua...
$ drv          <chr> "f", "f", "f", "f", "f", "f", "f", "4", "4", "4", "4", "4", "4", "4", ...
$ cty          <int> 18, 21, 20, 21, 16, 18, 18, 18, 16, 20, 19, 15, 17, 17, 15, 15, 17, 16...
$ hwy          <int> 29, 29, 31, 30, 26, 26, 27, 26, 25, 28, 27, 25, 25, 25, 25, 24, 25, 23...
$ fl           <chr> "p", "p", "p", "p", "p", "p", "p", "p", "p", "p", "p", "p", "p", "p", ...
$ class        <chr> "compact", "compact", "compact", "compact", "compact", "compact", "com...

skim(mpg)

Skim summary statistics
 n obs: 234 
 n variables: 11 

-- Variable type:character -----------------------------------------------------
     variable missing complete   n min max empty n_unique
        class       0      234 234   3  10     0        7
          drv       0      234 234   1   1     0        3
           fl       0      234 234   1   1     0        5
 manufacturer       0      234 234   4  10     0       15
        model       0      234 234   2  22     0       38
        trans       0      234 234   8  10     0       10

-- Variable type:integer -------------------------------------------------------
 variable missing complete   n    mean   sd   p0  p25    p50  p75 p100     hist
      cty       0      234 234   16.86 4.26    9   14   17     19   35 <U+2585><U+2587><U+2587><U+2587><U+2581><U+2581><U+2581><U+2581>
      cyl       0      234 234    5.89 1.61    4    4    6      8    8 <U+2587><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2587>
      hwy       0      234 234   23.44 5.95   12   18   24     27   44 <U+2583><U+2587><U+2583><U+2587><U+2585><U+2581><U+2581><U+2581>
     year       0      234 234 2003.5  4.51 1999 1999 2003.5 2008 2008 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587>

-- Variable type:numeric -------------------------------------------------------
 variable missing complete   n mean   sd  p0 p25 p50 p75 p100     hist
    displ       0      234 234 3.47 1.29 1.6 2.4 3.3 4.6    7 <U+2587><U+2587><U+2585><U+2585><U+2585><U+2583><U+2582><U+2581>

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

ggplot(mpg) +
    geom_point(aes(x = displ, y = hwy, color = class)) +
  facet_wrap(~ drv)

NA

ggplot(data = mpg) +
    geom_bar(aes(x = drv)) 

data_autos_resumida <- tribble (
  ~ tipo_traccion, ~ num_obs,
  "4" , 104,
  "f" , 102,
  "r" , 25
  )
data_autos_resumida

ggplot(data = data_autos_resumida) +
geom_bar(mapping = aes(x = tipo_traccion, y = num_obs),
         stat = "identity")

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

ggplot(mpg) +
  geom_point(mapping = aes(x = displ, y = hwy), color = "#123456") +
   geom_point(mapping = aes(x = displ, y = hwy),
              data = data.frame(displ = 4, hwy = 40),
              color = "red",
              size = 4)

library(gapminder)
mis_datos <- filter(gapminder, continent == "Europe")
mis_datos

ggplot()+
  geom_point(data = mis_datos, mapping = aes(x = gdpPercap, y = lifeExp, size = pop))