exercise

1

Endline survey for World Bank IFC-LUNA project

05202025

# Install packages if not already install.packages("ggplot2") install.packages("gridExtra") library(ggplot2) library(gridExtra) # Create sample plots representing dashboard icons/metrics plot1 <- ggplot(mtcars, aes(x=hp)) + geom_histogram(fill="steelblue", color="white") + labs(title="Horsepower Distribution") plot2 <- ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point(color="darkgreen") + labs(title="MPG vs Weight") plot3 <- ggplot(mtcars, aes(x=factor(cyl))) + geom_bar(fill="orange") + labs(title="Cylinder Count") # Combine in a dashboard-style layout grid.arrange(plot1, plot2, plot3, ncol=2)

Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0"

This dashboard analyzes NBA 2022–23 player stats and salaries using joined datasets. It includes 8 charts on scoring, assists, rebounds, efficiency, and contract trends each with brief insights.