Scatterplots

mpg

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

View(mpg)

• Filtering works by clicking on the “Filter” button, then entering a text (for text columns) or restricting the range of values (for numeric columns).
• Arranging works as usual by clicking on a column header. Because the sort operation is stable, you can sort by two variables by first sorting by the second variable, then by the first.
• The 1999 VW Jetta 1.9 and VW New Beetle 1.9 have the best highway economy, both will drive you 44 miles for each gallon of fuel.
• Note that the view pane currently shows at most 100 columns.

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

More examples:

ggplot(data = mpg) +
  geom_point(mapping = aes(x = cyl, y = drv))

ggplot(data = mpg) +
  geom_point(mapping = aes(x = year, y = cyl))

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

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

ggplot(data = mpg) +
  geom_point(mapping = aes(x = displ, y = 235 / hwy))