> For the complete documentation index, see [llms.txt](https://docs.decisionrules.io/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.decisionrules.io/doc/intelligence/statistics/time-series.md).
# Time Series
Time Series visualizations show how a selected metric changes over time.
Audit logs are grouped into time intervals (for example, hours, days, or months), and a metric is calculated for each interval. Depending on the selected metric, the chart can display the number of audit logs, or the average, minimum, or maximum value of a numeric field.
Examples:
* Number of executions per day
* Average order amount over time
* Average response time by day
* Maximum execution time per hour
* Error rates across days
This visualization is useful for:
* Monitoring trends over time
* Detecting spikes, drops, and anomalies
* Comparing activity across different periods
* Identifying recurring patterns or seasonality
* Evaluating the impact of deployments, configuration changes, or incidents
{% hint style="info" %}
**Visualization Limitation**
When more than **10,000** audit logs match the selected filters, statistics are calculated from a sampled subset of records to maintain performance. The sample is intended to be representative but may not perfectly reflect the full dataset.
{% endhint %}
{% hint style="info" %}
**Export Limitation**
Exports use the same sampled dataset as the visualization, so exported results reflect the same limitation of **10,000**.
{% endhint %}
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