Program 13

Author

Stephen George

USN

1NT24IS227

https://rpubs.com/Stephen__/1421978

Objective

To create multiple dot plots for grouped data using ggplot2, and compare distributions across different categories.

Step 1: Load Required Package

library(ggplot2)

Step 2

data(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
str(mtcars)
'data.frame':   32 obs. of  11 variables:
 $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
 $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...
 $ disp: num  160 160 108 258 360 ...
 $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
 $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
 $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
 $ qsec: num  16.5 17 18.6 19.4 17 ...
 $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...
 $ am  : num  1 1 1 0 0 0 0 0 0 0 ...
 $ gear: num  4 4 4 3 3 3 3 4 4 4 ...
 $ carb: num  4 4 1 1 2 1 4 2 2 4 ...

Step 3

ggplot(mtcars, aes(x = as.factor(cyl), y = mpg)) +
  geom_dotplot(
    binaxis = "y",
    stackdir = "center",
    fill = "skyblue",
    dotsize = 1
  ) +
  labs(
    title = "Dot Plot of Mileage by Cylinder Groups",
    x = "Number of Cylinders",
    y = "Miles per Gallon (mpg)"
  ) +
  theme_minimal()
Bin width defaults to 1/30 of the range of the data. Pick better value with
`binwidth`.

Step 4

ggplot(mtcars, aes(x = as.factor(cyl), y = mpg, fill = as.factor(cyl))) +
  geom_dotplot(
    binaxis = "y",
    stackdir = "center",
    dotsize = 1
  ) +
  labs(
    title = "Grouped Dot Plot of Mileage",
    x = "Number of Cylinders",
    y = "Miles per Gallon (mpg)",
    fill = "Cylinders"
  ) +
  theme_minimal()
Bin width defaults to 1/30 of the range of the data. Pick better value with
`binwidth`.