<jupyter_start><jupyter_text>Задание 1<jupyter_code>import pandas as pd

data = pd.read_csv('ratings.csv')
data = data[ data.rating == 5.0 ]
data = data.merge(pd.read_csv('movies.csv'))
data.head()

data = data['movieId'].value_counts()[:2]<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17777777777777778, 'fraction_numerical': 0.014814814814814815, 'mean_word_length': 7.212121212121212, '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': '358578', 'license': 'BSD-4-Clause-UC', 'n_tokens_mistral': 115, 'n_tokens_neox': 111, 'n_words': 16, 'path': 'Untitled3.ipynb', 'repo_name': 'mila-khripunova/PYDA-15_WA-50_M', 'size': '270'}