6.8 Time Series Analyses
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BackgroundSome labs capture results over a period of time for tests on the same Sample, studying and interpreting a sequence of data points recorded or collected at consistent time intervals e.g. ambient lab temperature, weather records, patient health evolution or physical strength tests in engineering Consider an example where the percentage mass change of 3 similar drying concrete bars are regularly measured, tabled and eventually graphed including of their average
We'll try to turn it out like this in Bika |
Using Time Series Analyses...After it was configured Setting up a Time Series Analysis ServiceFor the given example to Analysis Services, and Crete a new one. After completing all its standard attributes, open its Results Options tab Select Time Series as a result Type
Provide the graph titles
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Data Table DefinitionProceed to lay out the graph by defining its columns and an Index to which the graph will be plotted to - the x-axis, drying cycles in this example NB There has to be an Index row, select it on the Column Type lookup Follow up with the data columns, these are the lines that will be graphed - give each the Data column type, an appropriate title If the value is a whole number, select Number for the Data Type, Float if it is a rational number that includes a fraction If it is an Average, select that as Column type - it will be used to differentiate it in colour from the other data lines Set up the Time Series ImporterSet up a Time Series 'Instrument' that uses the TimeSeries Importer interface. Instrument Configuration |