What are the limitations of using R Pie Charts for data analysis?

a) They become less effective with too many categories or when precise comparisons are needed

b) They cannot display continuous data

c) They are not customizable

d) They are not suitable for time series data

Answer:

a) They become less effective with too many categories or when precise comparisons are needed

Explanation:

R pie charts have limitations when used for data analysis, particularly when there are too many categories or when precise comparisons between categories are needed. With too many categories, a pie chart can become cluttered, making it difficult to distinguish between slices. Additionally, pie charts are not ideal for making precise comparisons because it can be challenging to accurately compare the angles or sizes of the slices.

# Example of a pie chart with limitations
slices <- c(10, 15, 25, 20, 10, 5, 15)
labels <- c("A", "B", "C", "D", "E", "F", "G")
pie(slices, labels = labels, col = rainbow(length(slices)), main = "Complex Pie Chart Example")

In this example, the pie chart has seven slices, which can make it difficult to interpret the data effectively. The crowded nature of the chart, with many slices of similar size, reduces its effectiveness as a visualization tool. For datasets with many categories or where accurate comparisons are required, other types of visualizations, such as bar charts, may be more appropriate.