New visualization settings for data streams: An optimization for better data analysis
For optimal data analysis and visualization, it is crucial to present data streams in a way that is easy to interpret and meaningful. The new visualization settings of Autonoma's digital customer platform offer ways to attenuate minimal fluctuations, make larger swings more noticeable and display data points more clearly.
Adjusting the y-axis: fluctuations and swings
A common problem in the presentation of data streams is the overestimation of minimal fluctuations. A good example is temperature fluctuations between 31°C and 33°C. Although such fluctuations are normal, they can appear dramatic on a chart with a standard y-axis.
By setting the y-axis to a range of 25°C to 45°C, for example, the curve is smoothed and the fluctuations appear less dramatic.
This method helps to assess the true significance of the data and avoid unnecessary concern.
Connection of point data recordings
Another setting concerns the connection of point data recordings with lines. This can help to identify data gaps and better understand the operational status of plants.
This is how it works:
- Data frequency: Data should be recorded at intervals, for example, every 3 seconds.
- Connection of data points: Data points 3 seconds apart are connected with lines.
- Detection of standstills: If the distance between data points is longer than 5 seconds, for example, no line is drawn, this creates a gap in the data stream and indicates a possible system standstill.
This visual representation makes it easier to recognize and react to relevant operational interruptions quickly.
Display of decimal places: Precision and clarity
The number of decimal places displayed for data points can affect the readability and accuracy of the data. Especially in cases where minimal fluctuations in the decimal range are important. You can determine for which data streams several decimal places are necessary.
Conclusion
The new settings for the visualization of data streams offer numerous advantages for data analysis. By adjusting the y-axis, connecting point data recordings and the flexible display of decimal places, your data can be displayed more precisely and comprehensibly. These improvements help you to make informed decisions and increase the efficiency of your systems and processes.
Ensure that your data is visualized correctly and meaningfully and can be processed optimally.
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