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

df = pd.read_csv('/content/drive/My Drive/Colab Notebooks/data/msft.csv', index_col = 'Date')
df.head()
# df.Price.value_counts()
df.describe()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16033755274261605, 'fraction_numerical': 0.0, 'mean_word_length': 7.206896551724138, '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': '249106', 'license': 'Apache-2.0', 'n_tokens_mistral': 99, 'n_tokens_neox': 95, 'n_words': 13, 'path': 'Windows_Store_Apps.ipynb', 'repo_name': 'davnnis2003/ds-showncase', 'size': '237'}