A time series chart is a specialized form of line chart used to visualize data points indexed in time order. It’s ideal for detecting patterns, trends, seasonality, and anomalies over a continuous time axis.
While line charts often show simple trends, time series charts are built for deeper temporal analysis — supporting hourly, daily, monthly, or even millisecond-level insights.
Key Features
- Time-based X-axis: Uses continuous, chronological intervals
- Multiple series support: Allows comparison of related metrics
- Granularity control: Zoom into specific time frames or aggregate over periods
Use Cases
- Stock price movements
- Server or application monitoring
- Website traffic by hour/day/week
- Sensor or IoT data streams
Time Series in BI and Forecasting
Time series charts form the basis for predictive analytics and forecasting models like ARIMA or exponential smoothing. They reveal seasonality (e.g., sales spikes in December) or lag effects between variables.
Time Series Charts in ClicData
- Support for timestamped data in real time or scheduled intervals
- Drill-down capabilities to explore data at different granularities
- Blend multiple time-based metrics in one visualization
- Use filters or slicers to explore ranges or compare periods