What can be configured in a sparkline chart regarding data display?

The correct choice highlights the ability of a sparkline chart to present forecast data succinctly. Sparklines are small, simple charts that give a visual representation of data trends over time, often without axes or detailed labels. Their primary purpose is to provide a quick, digestible snapshot of how data changes or forecasts are expected to shift within a specified range.

These charts excel at showing trends, which may include forecasted data, as they can illustrate how future values are anticipated to behave based on historical patterns. This makes them particularly useful when needing to convey essential insights at a glance without overwhelming the viewer with unnecessary detail.

While other options might seem relevant, they do not accurately reflect the unique function of sparklines. For instance, trend analysis and summary statistics may refer to broader methodologies or datasets, requiring more extensive visual representation rather than the compact, focused view that sparklines provide. Full datasets are typically represented in more detailed charts and graphs where specific values and extensive data points are necessary, which contradicts the purpose of sparklines being minimalistic and overview-oriented.