Basic Chart Types

Basic chart types form the visual backbone of LIVE DASH reports. Each chart type should not be used simply to display the same data, but to answer a specific analytical question. This allows operators, engineers, and managers to evaluate the same dataset in a visual format suited to their specific decision-making needs.

Time series charts focus on showing the change in a value over time. In LIVE DASH, they are particularly useful for real-time monitoring, performance tracking, trend analysis, and examination of historical behavior.

Line / Spline Charts

Line charts directly show the time-dependent behavior of continuously changing values. They provide a basic time-series approach for process values such as generated power, flow rate, temperature, pressure, reservoir level, and similar variables. The Spline type helps present trends in a smoother and more readable form.

Area / Spline Area Charts

Area and Spline Area charts emphasize not only change over time but also the area represented by the values. They can therefore be preferred for visually highlighting power generation, consumption, total contribution, or cumulative behavior.

Comparison charts enable the direct comparison of values belonging to different categories or periods. They provide high readability, particularly in management reports and performance evaluations.

Column / Bar Charts

Column and Bar charts are suitable for categorical data such as generation between units, alarm counts by system or location, periodic energy comparisons, and similar applications. Column charts use vertical columns, while Bar charts use horizontal bars for comparison.

Logarithmic Column Charts

Logarithmic (Log) Column charts use a logarithmic scale when there are very large differences between values, preventing smaller values from being visually overwhelmed by larger ones. This makes it possible to examine data with a wide dynamic range within the same visual representation.

Distribution and ratio charts are intended to quickly show the subcomponents of a whole and the shares of these components within the total.

Pie and Doughnut Charts

Pie and Doughnut charts can be used for summary analyses such as the distribution of total generation among sources, proportions of alarm types, the share of losses within the total, or similar applications. Depending on the design, the central area of a Doughnut chart can be reserved for displaying a total value or other summary information.

Scatter Charts

Scatter charts show the relationship between two variables. They can be used to examine relationships between engineering variables such as flow rate–power, temperature–efficiency, pressure–power, and similar combinations. The distribution of points helps identify correlations, operating regions, and outlier behavior.

LIVE DASH goes beyond basic visualization by also supporting chart types designed to analyze multiple variables or complex relationships. Rather than simply displaying a single value, the charts in this group provide a stronger perspective on priority, relationships, distribution, and data flows.

• Radar: Can be used to compare multiple performance indicators together on the same scale.
• Pareto: Uses the 80/20 principle to help highlight the most important factors contributing to the overall impact.
• Sankey: Can be used to visualize how values originating from a source are transferred to different targets and in what proportions.

Timeline charts visually represent the chronological flow of events, status changes, and time-based processes. In LIVE DASH, they are particularly valuable for quickly answering the questions “when did it happen?”, “how long did an event last?”, and “how were the events related to each other?”.

Tabulator is a complementary table approach that presents data in a structured and detailed row-and-column format. While charts summarize trends, distributions, or relationships in the data, Tabulator helps users examine raw, numerical, and detailed-level records.

For this reason, it is more appropriate to consider Tabulator not merely as an alternative to charts, but as an analytical complement that enables findings obtained from charts to be verified against detailed records. Making data readable, sortable, and comparable is particularly important on engineering and operational screens.

Alarm lists are among the fundamental monitoring components that provide a list of alarms generated in SCADA and monitoring systems, together with their occurrence counts. Presenting alarm data in a tabular format makes it easier to evaluate how frequently each alarm occurs and which alarm groups require greater attention.

Selecting the appropriate chart type is determined less by the data itself than by the question that needs to be answered. The following summary can be used as a starting point for LIVE DASH reports.

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