BinX – Dynamic exploration of time series CPSC 533 Course project

Time series are a substantial data format, common to many fields of study and are becoming longer with the availability of new data accumulation technologies. One of the prominent time series analysis techniques is visualization. However, humans will often fail when analyzing a long time series, being overwhelmed by the amount of data involved and the different time scales it is encoded in. These often require multiple views, leading to disorientation or requiring the use of complex mathematical transformations (such as Fourier / Wavelet transforms). In this work I introduce BinX, an interactive tool, providing dynamic visualization and manipulation of long time series. The data is visualized via user controlled aggregation, augmented by several information visualization techniques. I believe that BinX provides simple, effective and flexible exploration methods for uncovering the underlying patterns in long time series.