Guiding the Visualization of Time-Oriented Data

نویسندگان

  • Davide Ceneda
  • Wolfgang Aigner
  • Markus Bögl
  • Theresia Gschwandtner
  • Silvia Miksch
چکیده

The analysis of industrial processes allows quality assessment and production monitoring. Usually these operations are carried out exploiting time-series data. In this work, we analyze a concrete design study of space efficient and time-aggregating visualizations for the analysis of high-frequency time-series. We derive recommendations to enhance the design process and demonstrate their applicability to our case study.

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تاریخ انتشار 2016