Which visualization technique can effectively represent time series revenue data?

Using a line chart to represent time series revenue data is particularly effective because it demonstrates trends and patterns over a continuous time scale. Unlike other visualization techniques, a line chart connects data points sequentially, making it easy to observe oscillations, growth, or decline in revenue across different time periods. This allows analysts and stakeholders to quickly identify trends, seasonal variations, or significant changes over time, enabling informed decision-making based on historical performance.

A line chart excels at conveying information on data that is collected at regular intervals, such as daily, monthly, or yearly figures, and it emphasizes the progression of values over time, which is crucial for time series analysis. This makes it the most suitable choice for visualizing revenue data that spans across different periods, as it clearly illustrates how revenue fluctuates and enables comparisons across the timeline.

Other visualization techniques may serve different purposes but are less effective for time series data. For instance, a pie chart that displays percentage distribution lacks the capability to showcase changes over intervals, making it unsuitable for revealing trends. A bar chart showing yearly totals can provide a summary of annual figures but would not effectively display data that changes within those years or connect data across multiple periods. A stacked area chart, while useful for comparing parts of a whole over