Datencursoren

Datencursoren (data cursors) are interactive visual indicators used in data visualization to mark a specific position within a dataset. They typically appear as reference lines or highlighted points on a chart and are often accompanied by a tooltip or panel that displays the corresponding values, coordinates, or metadata. The term is commonly used in German-language documentation and has become widely understood in multilingual dashboards.

Datencursoren are used to aid data inspection, comparison, and navigation. They appear in time-series charts, scatter plots, heatmaps, and dashboards, helping users retrieve exact values, observe changes over time, or compare multiple series. In many implementations, more than one cursor can be active simultaneously, enabling cross-panel reference and synchronized filtering or brushing across charts.

Interaction with datencursoren can occur through hovering, clicking, or dragging. Some systems support keyboard navigation for accessibility, and cursors may snap to the nearest data point or to a user-defined index. A cursor typically reveals a summary of information such as the value, timestamp, units, and any derived metrics relevant to the point under consideration.

Technical aspects include mapping data coordinates to screen coordinates and managing events for mouse, touch, and keyboard input. Common libraries used to implement datencursoren include D3.js, Plotly, and Chart.js, often within custom components that handle tooltips, focus management, and responsive resizing.

Considerations for use include balancing visibility with chart clarity, avoiding UI clutter in dense dashboards, and ensuring accessibility through proper labeling and keyboard support. Datencursoren enhance data interpretation but should be implemented with attention to performance and user experience. See also: crosshair, tooltip, cursor, data visualization.