<jupyter_start><jupyter_text>Workbook B starts here.     This workbook makes an integral part of this article:     OnData.blog: I stopped writing reports  Myst<NAME> Have a look below. The patterns are intriguing. I think there is some regularity in the way the dots are organized.Let's discuss it at the next business meeting.<jupyter_code>abracadabra()<jupyter_output><empty_output><jupyter_text>And by the way, this is how many dots there are in the diagram:<jupyter_code>len(x)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0684931506849315, 'fraction_numerical': 0.0, 'mean_word_length': 5.826666666666667, 'pattern_counts': {'":': 0, '<': 10, '<?xml version=': 0, '>': 10, '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}}
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