Timeline
Overview
The Timeline Chart extension for Qlik Sense visualizes events in chronological order, showing both duration-based periods and single moments along a continuous timeline. It is ideal for analyzing historical data, event sequences, and process evolution directly within your dashboards. With support for ranges, moments, reference lines, and flexible time scales, the Timeline Chart delivers a clear, intuitive view of how events unfold over time.
Key Features
• Dual Event Types – Display events that span a time period (ranges) and those that occur at a single moment (moments) on the same axis.
• Flexible Configuration – Define one dimension for event names and one or two measures for start and end dates, depending on event type.
• Customizable Appearance – Adjust colors, height, direction, and labels of events using expressions or static settings.
• Reference Lines & Ranges – Mark important points in time, deadlines, or periods with vertical lines or shaded areas.
• Scalable Time Axis – Configure axis scale, time units, locale, and format for consistent time-based analysis.
• Interactive Exploration – Zoom and pan across the timeline to focus on specific events or broader historical trends.
• Dynamic Labels & Tooltips – Display custom text and contextual information using expressions.
• Seamless Qlik Integration – Automatically responds to Qlik selections for a fully associative, data-driven experience.
Use Cases
• Historical Analysis – Explore major company events, policy changes, or market developments over time.
• Incident Tracking – Monitor issue occurrence and resolution dates to identify patterns and process delays.
• Product Lifecycle Visualization – Track launches, updates, and retirements along product timelines.
• Project Milestones – Highlight key moments and milestones across multiple initiatives.
• Operational Logs – Visualize process events, outages, or production intervals.
Why Timeline Chart?
• Simple Yet Powerful – Minimal setup with maximum flexibility for visual storytelling.
• Fully Configurable – Adapt appearance, scaling, and event logic to fit any data model.
• High Readability – Designed for clarity when presenting sequences or simultaneous events.
• Interactive & Responsive – Smooth navigation, selection responsiveness, and visual feedback.