<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
!pwd
!ls -l ./auto-mpg.csv
pd.read_csv('./auto-mpg.csv', header=None)
df = pd.read_csv('./auto-mpg.csv', header=None)
df.info
df.info()
df.describe()
df[3].describe()
df[8].describe()
df.mean()
df[0].std()
df[0].mean(), df[0].std(), df[5].count(), df[5].min(), df[5].max()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.25753424657534246, 'fraction_numerical': 0.021917808219178082, 'mean_word_length': 5.90566037735849, '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': '426271', 'license': 'Apache-2.0', 'n_tokens_mistral': 168, 'n_tokens_neox': 163, 'n_words': 25, 'path': 'autompg_pandas_info.ipynb', 'repo_name': 'creamcheesesteak/test_visualization', 'size': '365'}