Extra options specified in geom function

library(ggplot2) data("Titanic") # Convert the 'Titanic' table to a data frame for easier manipulation titanic_df <- as.data.frame(Titanic) # Create a bar chart ggplot(titanic_df, aes(x = Class, y = Freq, fill = Age)) + geom_bar(stat = "identity") + labs( title = "Passenger Class Distribution on the Titanic", x = "Class", y = "Number of Passengers", fill = "Age Group" ) + theme_minimal()

library(forcats) library(ggplot2) library(dplyr) gss_cat relig <- gss_cat %>% group_by(relig) %>% summarize( age = mean(age, na.rm = TRUE), tvhours = mean(tvhours, na.rm = TRUE), n = n() ) ggplot(relig, aes(tvhours, relig)) + geom_point()

example using ggplot and theme minimal

Example using ggplot dist vs speed

example using cars data set

Example using dplyr

Example using facet grid

ex using facet wrapping

Example using msleep data set ,use conservation as "fill"

Bar Plot using mtcars data set

Scatterplot of 2 continuous vars

Geom Histogram Plot

set bin width to 1

GGPlot 5

Example using color codes

Change color of base plot

Add color

Titles and Axis Labels

Example using linear model