<jupyter_start><jupyter_text>Tacos Notebook 🔥----------------------------<jupyter_code>import pandas
import janitor
from ipywidgets import interact, interactive, fixed, interact_manual
df = pandas.read_csv('tacos.csv').clean_names().remove_empty().dropna().reset_index(drop=True)
def f(x):
    return x

x = interact(f, x=['Southern','Mexican'])
#df[df.cuisines == x.widget.result].head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.21052631578947367, 'fraction_numerical': 0.0, 'mean_word_length': 4.985714285714286, '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': '193345', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 150, 'n_tokens_neox': 143, 'n_words': 24, 'path': 'notebooks/Tacos2.ipynb', 'repo_name': 'jupytercalpoly/pkgmanager', 'size': '418'}