<jupyter_start><jupyter_text>Simulation<jupyter_code>%matplotlib inline
import numpy as np
import pandas as pd

import viz # curriculum example visualizations

np.random.seed(29)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07692307692307693, 'fraction_numerical': 0.009615384615384616, 'mean_word_length': 8.952380952380953, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '76171', 'license': 'Apache-2.0', 'n_tokens_mistral': 74, 'n_tokens_neox': 70, 'n_words': 16, 'path': 'Statistics/Simulation_Intro.ipynb', 'repo_name': 'brandonjbryant/data-science-notes', 'size': '208'}