<jupyter_start><jupyter_text>Resumen de los Datos : Dimensiones y Estructuras<jupyter_code>import pandas as pd
import os
import Urllib3
import http
import csv<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.05851063829787234, 'fraction_numerical': 0.005319148936170213, 'mean_word_length': 8.947368421052632, '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': '55416', 'license': 'MIT', 'n_tokens_mistral': 71, 'n_tokens_neox': 68, 'n_words': 18, 'path': 'notebooks/02_Juan_mi segundo notebook_data cleaning_analisis preliminar.ipynb', 'repo_name': 'arciprestedehita69/python-ml-course', 'size': '188'}