Dataset chart scaling

An example process for selecting chart scalings for plotting two time-series datasets includes determining a first log difference between a logarithm of a maximum value of a first dataset and a logarithm of a minimum value of the first dataset. The process also includes determining a second log diff...

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Bibliographische Detailangaben
Hauptverfasser:	Dayan Gabriel, Tsirulnik Luba, Kadosh Elad
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	An example process for selecting chart scalings for plotting two time-series datasets includes determining a first log difference between a logarithm of a maximum value of a first dataset and a logarithm of a minimum value of the first dataset. The process also includes determining a second log difference between a logarithm of a maximum value of a second dataset and a logarithm of a minimum value of the second dataset. The process also includes selecting, based at least in part on the first and second log differences, between a linear chart scaling and a logarithmic chart scaling for the first dataset. The process also includes selecting, based at least in part on the first and second log differences, between a linear chart scaling and a logarithmic chart scaling for the second dataset.