time-series-analysis

What problem does it solve?

This Skill analyzes temporal event datasets (logs) and intervals by binning data into time-based chunks and producing time-series visualizations with OPAL timechart, enabling trend discovery and temporal insights.

Core Features & Use Cases

• Time-based binning with OPAL timechart to generate time-series data.
• Supports bin duration options (1h, 5m, 1d) and custom bins via options(bins: N).
• Outputs temporal columns: _c_valid_from, _c_valid_to, _c_bucket and returns multiple rows per group for charts.
• Use cases include trend analysis, anomaly detection, and cross-namespace comparisons across datasets.

Quick Start

Use timechart to visualize errors per hour across namespaces: filter contains(body, "error") | make_col namespace:string(resource_attributes."k8s.namespace.name") | timechart 1h, count(), group_by(namespace)