<jupyter_start><jupyter_text>Pruebas sobre el dataset generado.<jupyter_code>from IPython.display import display, HTML
pd.get_option("display.precision")
pd.set_option("display.max_colwidth", 200)
# _write_file_csv(_load_web_scraping())

df = _read_csv_pandas()
display(df)
# display(HTML(df.to_html()))<jupyter_output><empty_output><jupyter_text>prueba de lectura sobre campo url_cvs<jupyter_code>df_url = _read_csv_pandas_url(df.url_csv[0])
display(df_url)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12295081967213115, 'fraction_numerical': 0.00819672131147541, 'mean_word_length': 12.216216216216216, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '567251', 'license': 'CC0-1.0', 'n_tokens_mistral': 201, 'n_tokens_neox': 196, 'n_words': 24, 'path': 'webscrapercovid.ipynb', 'repo_name': 'jamluque-uoc/M2-851-P1', 'size': '488'}