Which of the following provides insight into seasonal patterns of revenue data?

Creating a trend line is a powerful method for visualizing and understanding seasonal patterns in revenue data. A trend line connects data points over a specified period, making it easier to observe fluctuations, peaks, and troughs in revenue that may occur at specific times of the year. This allows one to identify potential seasonal trends, enabling businesses and analysts to forecast future performance based on historical data.

In contrast, adding a column trellis may help organize data visually but does not inherently provide insights into the seasonal aspects of that data. Filters for recent data narrow the focus to a specific time frame and may obscure broader seasonal trends. Creating a summary table might aggregate data effectively, but it doesn’t directly represent trends or seasonal patterns visually. Thus, a trend line is the most effective tool among the options provided for gaining insight into seasonal revenue fluctuations.