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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Bibliographic Details
Main Authors Dayan Gabriel, Tsirulnik Luba, Kadosh Elad
Format Patent
LanguageEnglish
Published 13.03.2018
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary: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.
Bibliography:Application Number: US201514795335