<jupyter_start><jupyter_text>ent_tot containe only:```Source:  Insee, Répertoire des entreprises et des établissements (REE-Sirene), 2019Description:an: 2019```<jupyter_code>df = xl.parse('Data', header=4)
df.head()
df.codgeo.min()
df.codgeo.max()
len(df)
len(df.codgeo.unique())<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16828478964401294, 'fraction_numerical': 0.02912621359223301, 'mean_word_length': 9.0, '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': '140408', 'license': 'MIT', 'n_tokens_mistral': 138, 'n_tokens_neox': 127, 'n_words': 20, 'path': '.dataset/INSEE-REE/EDA.ipynb', 'repo_name': 'ucsky/opendata', 'size': '309'}