When should you use R Line Graphs instead of Bar Charts?

a) When you want to display trends over time or continuous data

b) When comparing the frequency of categorical data

c) When displaying proportions of a whole

d) When plotting discrete variables

Answer:

a) When you want to display trends over time or continuous data

Explanation:

R line graphs are best used when you want to display trends over time or visualize continuous data. Line graphs connect data points with a line, making it easy to see how a variable changes over a continuous interval, such as time. This makes them ideal for time series analysis, where you are interested in understanding how a variable evolves.

# Example of a line graph
months <- c("Jan", "Feb", "Mar", "Apr", "May")
sales <- c(100, 120, 150, 130, 160)
plot(months, sales, type = "o", col = "red", xlab = "Month", ylab = "Sales", main = "Monthly Sales Trend")

In this example, a line graph is used to show the trend in sales over five months. The line graph effectively highlights the upward or downward trend in sales, which would be more challenging to visualize using a bar chart. Line graphs are particularly useful when you need to demonstrate relationships or trends in continuous data.