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Charts

Question and objective​

How does a measured value change over time, and does it vary between machines or products? A chart links a specific data query to an appropriate visualization and can then be reused.

Implementation in Bytefabrik​

The chart feature is based on Apache StreamPipes. You select stored data, configure the time range and analysis, and save the visualization. Saved charts can be used in dashboards. Data filters and aggregation are part of the analysis and should be reviewed before designing the chart.

Best Practices for Your First Chart​

  1. Select a record whose fields and timestamps you know.
  2. Start by limiting your query to a short time period with known events.
  3. Review the data in tabular form before interpreting a summarized presentation.
  4. Select the metric, grouping, and an aggregation that matches the question.
  5. Name the chart based on what it shows, such as “Temperature at Press 1 During Production.”

What You Should Keep in Mind​

An average can mask short spikes; the sum of meter readings is usually not the same as the quantity produced. Therefore, check not only the chart type but also the calculation.

When grouping, empty values or product names spelled differently can appear to create new groups. If you make changes to a reused chart, check the dashboards that reference it.

This is how you can reduce duplicate configuration and ensure that reports remain consistent. Additional usage instructions: Apache StreamPipes Charts.