Visualizing Built-in Datasets in R

Scatter Plot

data(mtcars)
ggplot(mtcars, aes(x = hp, y = mpg)) +
  geom_point(color = "steelblue", size = 3) +
  labs(title = "MPG vs Horsepower", x = "Horsepower", y = "Miles per Gallon") +
  theme_minimal()

Line Graph

data(AirPassengers)
df <- data.frame(
  Month = time(AirPassengers),
  Passengers = as.numeric(AirPassengers)
)

ggplot(df, aes(x = Month, y = Passengers)) +
  geom_line(color = "darkgreen") +
  labs(title = "Monthly Air Passengers (1949-1960)", x = "Year", y = "Number of Passengers") +
  theme_minimal()

Don't know how to automatically pick scale for
object of type <ts>. Defaulting to continuous.

#Stacked Vertical Bar Chart

data("Titanic")
df_titanic <- as.data.frame(Titanic)

ggplot(df_titanic, aes(x = Class, y = Freq, fill = Survived)) +
  geom_bar(stat = "identity") +
  labs(title = "Survival by Class (Stacked Vertical Bar Chart)", y = "Frequency") +
  theme_minimal()

#Stacked Horizontal Bar Chart

ggplot(df_titanic, aes(x = Freq, y = Class, fill = Survived)) +
  geom_bar(stat = "identity") +
  labs(title = "Survival by Class (Stacked Horizontal Bar Chart)", x = "Frequency") +
  theme_minimal()