Spectrogram Based Toolkit for High Density Visualization of Data

摘要

We propose that spectrograms can be useful for investigating large and complex sets of temporal data, especially 3D-like, using them as a quick and compact high density visualization tool for big data, where each pixel represents a data value. Our approach proposes for interaction with the spectrogram based toolkit thus allowing for a possible redefinition of hypothesis or research goals when new insight into the data has been gained.