1. Install package and library upload
#install.packages("ggvis")
library(ggvis)
# dataset: mtcars
head(mtcars)
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
attach(mtcars)
# mpg:Miles per Gallon, qsec: 1/4 mile time
plot(mpg, qsec)

  1. Data prepatation
# %>% pipeline
mtcars$cyl = as.factor(mtcars$cyl)
mtcars %>%  ggvis(~mpg, ~qsec) %>% layer_points()
  1. Draw a line for distribution of the points and Visualization
mtcars %>%  ggvis(~mpg, ~qsec, fill := "red") %>% layer_points() %>% layer_smooths() %>% add_axis("x", title = "Miles/Gallon", values=c(10:35)) %>% add_axis("y", title = "1/4 Mile Time")
mtcars %>%  ggvis(~mpg, ~qsec, fill = ~cyl) %>% layer_points() %>% layer_smooths() %>% add_axis("x", title = "Miles/Gallon") %>% add_axis("y", title = "1/4 Mile Time", subdivide=2)