<jupyter_start><jupyter_text>Exercises<jupyter_code>import pandas as pd
from matplotlib import pyplot as plt
plt.style.use('ggplot')
%matplotlib inline
diamonds = pd.read_csv('diamonds.csv',index_col=0)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11206896551724138, 'fraction_numerical': 0.004310344827586207, 'mean_word_length': 10.65, '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': '623099', 'license': 'MIT', 'n_tokens_mistral': 94, 'n_tokens_neox': 89, 'n_words': 15, 'path': '06_pandas/pandas_exercise.ipynb', 'repo_name': 'brunnerp/PythonFachkurs', 'size': '232'}