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Charts and analytics

Use chart and analytics symbols to compare time-series behavior, distributions, repeated periods, event populations, asset profiles, or process relationships.

Overview

Use chart and analytics symbols to compare time-series behavior, distributions, repeated periods, event populations, asset profiles, or process relationships.

Choose by use case

What you needSymbol
Compare assets as bars or ranksAsset Comparison Bar Chart+
Show quartiles, spread, and outliersBox Plot+
Combine line, area, scatter, and bar tracesCombo Chart+
Aggregate events as a chart, KPI, pie, or pivotEvent Analytics Chart+, Event Analytics KPI, Event Analytics Pie, or Event Analytics Pivot
Let operators filter compatible event analyticsEvent Filter+
Align and compare repeated event tracesEvent Comparison Chart+
Identify frequency componentsFFT+
Display event duration and overlap on a timelineGantt Chart+
Reveal patterns across time and data sourcesHeatmap+
Show a frequency distributionHistogram+
Compare the same signal across repeated periodsPeriod Comparison Chart+
Show part-to-whole contributionPie Chart+
Monitor cross-directional scanner profilesProfileView+
Compare multivariable asset profilesRadar Chart+
Show flow magnitude between nodesSankey+
Explain cumulative positive and negative contributionsWaterfall Chart+

Selection guidance

  • Start with the operational question, then choose the simplest chart that answers it.
  • Use compatible units on a shared scale and separate scales when values are not directly comparable.
  • Limit traces, categories, events, and retrieval resolution to what remains readable on the target display.

Articles in this category

19 articles
Asset Comparison Bar Chart+Asset Comparison Bar Chart+ compares attributes across AF assets as grouped or stacked bars.Box Plot+Box Plot+ summarizes the distribution of time-series values and can overlay reference traces for comparison.Combo Chart+Combo Chart+ combines line, area, scatter, and bar traces with optional event, statistical, and summary information.Event Analytics Chart+Event Analytics Chart+ aggregates event-frame data into configurable chart dimensions, values, arguments, and series.Event Analytics KPIEvent Analytics KPI summarizes an event-frame search as one or more key performance indicators.Event Analytics PieEvent Analytics Pie groups event-frame results into proportional slices using configurable arguments and series.Event Analytics PivotEvent Analytics Pivot aggregates event-frame results into a row-and-column table.Event Comparison Chart+Event Comparison Chart+ aligns event-frame time series so operators can compare event behavior, markers, and reference events.Event Filter+Event Filter+ provides display controls that filter compatible event-analytics symbols by selected event fields.FFT+FFT+ transforms time-series data into a frequency spectrum for identifying periodic components.Gantt Chart+Gantt Chart+ displays event frames on a timeline so operators can compare duration, overlap, and sequence.Heatmap+Heatmap+ displays values in a two-dimensional color grid to reveal patterns across time and data sources.Histogram+Histogram+ groups numeric values into bins to show their frequency distribution over a selected period.Period Comparison Chart+Period Comparison Chart+ overlays repeated time periods so operators can compare current behavior with historical or baseline periods.Pie Chart+Pie Chart+ shows how numeric values contribute to a whole. Choose a pie, donut, half-donut, or polar layout and display names, values, or percentages in the legend and labels.ProfileView+ProfileView+ displays cross-directional scanner measurements as a time-based heatmap for monitoring profile uniformity.Radar Chart+Radar Chart+ compares several attributes across one or more AF assets on a common radial scale.Sankey+Sankey+ shows the magnitude and direction of flows between configured nodes. Use it to visualize material, energy, utility, or cost flows through a process.Waterfall Chart+Waterfall Chart+ shows how sequential positive and negative contributions change a starting value into a final total. Each data source is displayed as either an absolute total or a relative change.