Data Trends

The Data Trends view provides time-series visualization of your tag data. Use it to analyze sensor readings, identify patterns, and investigate equipment behavior over time.

Using data trends

Navigate to Admin → Data → Trends.

Selecting tags

1. Choose one or more tags to display on the chart
2. Select the time range (presets or custom dates)
3. Choose the data transformation:
   • Raw: plot exact data points as received
   • Linear: apply linear scaling (scale + offset) for unit conversion
   • Step: interpret as discrete state changes (ideal for running/stopped signals)

Reading the Chart

The trend chart shows:

• X-axis: time
• Y-axis: tag values (auto-scaled)
• Multiple series: overlay multiple tags on the same chart
• Zoom: click and drag to zoom into a specific time range
• Tooltip: hover over data points to see exact values and timestamps

Setting aggregation intervals

For long time ranges, raw data can contain millions of points. Use aggregation intervals to downsample:

Time Range	Recommended Interval
Last hour	Raw (no aggregation)
Last 24 hours	1 minute
Last week	5 minutes
Last month	1 hour

Common use cases

Use Case	What to look for
Verify data flow	Check that tags are updating at expected intervals
Temperature monitoring	Identify drift, spikes, or out-of-range events
Speed analysis	Compare actual speed to ideal cycle time
State visualization	See running/stopped patterns over a shift
Troubleshooting	Correlate sensor data with downtime events

:::tip Combine with Grafana For advanced dashboards with alerting, use the Grafana Integration. Grafana connects to the same TimescaleDB and offers more visualization options for time-series data. :::

Next steps

• Data Tags — Configure the tags that feed these trends
• Grafana Integration — Advanced time-series dashboards
• Overview — Back to Administration overview

Prerequisites

• Admin Overview
• Introduction — get the overall picture of OpSee

Related

• Architecture Overview
• Cockpit — complementary module