<jupyter_start><jupyter_text>Lab 3 — clustering<jupyter_code>import json
import matplotlib.pyplot as plt
import numpy as np
import pickle

%matplotlib inline
plt.style.use("ggplot")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09004739336492891, 'fraction_numerical': 0.004739336492890996, 'mean_word_length': 8.636363636363637, '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': '83405', 'license': 'MIT', 'n_tokens_mistral': 83, 'n_tokens_neox': 78, 'n_words': 18, 'path': 'ix-lab3/ix-lab3/lab3-cluster.ipynb', 'repo_name': 'emlg/Internet-Analytics', 'size': '211'}