{'fraction_non_alphanumeric': 0.011904761904761904, 'fraction_numerical': 0.001984126984126984, 'mean_word_length': 5.158536585365853, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Spectrogram Based Toolkit for High Density Visualization of Data

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.