<jupyter_start><jupyter_text>Materialehttps://github.com/gdv/scuole-lincei<jupyter_code>import pandas as pd
%matplotlib inline
import plotnine as p9
misure = pd.read_csv("data/misure.csv")
misure.head()
(p9.ggplot(data=misure,
           mapping=p9.aes(x='tipo',
                          y='misura'))
    + p9.geom_boxplot()
)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14285714285714285, 'fraction_numerical': 0.011204481792717087, 'mean_word_length': 3.8378378378378377, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, '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': '566867', 'license': 'MIT', 'n_tokens_mistral': 147, 'n_tokens_neox': 141, 'n_words': 18, 'path': 'misure.ipynb', 'repo_name': 'gdv/scuole-lincei', 'size': '357'}