Chart Types

LineInterpreter provides a range of chart types to suit different kinds of process data and analytical needs. Below is a summary of the most common types.

OEE Gauge Chart

Displays Overall Equipment Effectiveness (OEE) as a gauge dial, showing progress toward a target value. OEE is the product of three factors: Availability × Performance × Quality.

The chart supports two query modes:

Aggregate mode — supply three separate metrics (Availability, Performance, Quality). The chart multiplies them together and plots a single OEE value on the dial.
Raw mode — supply pre-calculated columns directly from the dataset.

Best for: KPI dashboards where the overall health of a production line needs to be visible at a glance.

Pareto Chart

Combines a bar chart (values sorted in descending order) with a cumulative percentage line on a secondary Y-axis. This lets you quickly identify which categories account for the majority of a total.

Best for: Downtime analysis — identifying which downtime causes or categories are responsible for the greatest share of lost production time. The 80/20 rule is easily visible from the cumulative line.

State Chart

A Gantt-style chart that visualises the state of one or more production lines over time. Each row on the Y-axis represents a line (or other dimension), and coloured segments along the time axis represent different states (e.g. running, stopped, downtime).

Key features:

Y-axis defaults to line_id, automatically resolved to line names from the hierarchy.
The Series column (default line_state) determines the colour of each segment.
An optional Subcategories toggle subdivides each row by a second dimension, useful for filtering intersecting states.
Timestamps are displayed in the line’s configured timezone (or the dashboard-wide timezone if set).

Best for: Visualising when lines were running, stopped, or in a particular state — and for correlating downtime events with production data.

Alarm Chart & Downtime Chart

These are pre-configured table chart types optimised for displaying alarm and downtime events.

Best for: Showing a tabular view of alarm and downtime events.

Time-series line chart

The most widely used chart type for process data. Plots one or more monitor point values on the Y-axis against time on the X-axis.

Best for: Trend analysis, detecting gradual changes, comparing multiple signals over the same time period.

Bar chart

Displays values as vertical or horizontal bars. Particularly useful for comparing aggregated values (e.g. daily totals, shift averages).

Best for: Comparing totals or averages across categories or time buckets.

Gauge / dial

A circular or semi-circular indicator that shows a single value relative to a min/max range. Often used for live KPI displays.

Best for: At-a-glance indication of a current process value, especially in plant overview dashboards.

Big number

Displays a single value as a large, prominently styled number — optionally with a trend indicator comparing the current value to a previous period.

Best for: Highlighting a key metric that needs to stand out on a dashboard.

Scatter chart

Plots pairs of values from two different monitor points as points on an X/Y grid. Useful for identifying correlations.

Best for: Correlation analysis between two process variables.

Heatmap

Displays values across two dimensions (e.g. time of day vs. day of week) using colour intensity to represent magnitude.

Best for: Identifying patterns in data across two categorical axes (e.g. which hour of which day has the highest energy consumption).

Table

Displays raw or aggregated data in a tabular format with sortable columns.

Best for: Showing exact values, exporting data, or when precise numbers matter more than visual trends.

Pie / donut chart

Shows proportional distribution of values across categories.

Best for: Displaying the breakdown of totals (e.g. energy consumption by machine as a percentage of total).

For guidance on how to add one of these chart types to a dashboard, see Configuring Charts.