- Create a dashboard where your plots and tables are centered on a common theme. You need at least 3 displays on your dashboard; you don’t need a table if you choose not to.
ggplot(ames, mapping = aes(x = Central_Air, y = Year_Built,
fill = Heating_QC)) +
geom_boxplot() +
labs(title = "Heating Quality by Year Built and Central Air",
x = "Central Air Availability",
y = "Year of the House Built",
caption = "Source: ames",
fill = "Healing Quality")
ggplot(ames, mapping = aes(x = Year_Built, y = Garage_Area,
color = Garage_Finish)) +
geom_point() +
geom_smooth(method = "loess", se = FALSE) +
labs(title = "State of Garage by its Total Area",
x = "Year of House Built", y = "Total Garage Area",
caption = "Source: ames", color = "Type of Garage")
ggplot(ames, mapping = aes(x = Sale_Condition, y = Year_Built,
fill = Sale_Condition)) +
geom_boxplot() +
facet_wrap(~Overall_Cond) +
labs(title = "Sale Conditions and Overall Condition of Houses by Years",
x = "Sale Condition of the House",
y = "Year the House was Built",
fill = "Sale Condition",
caption = "Source: ames")
