<jupyter_start><jupyter_text>1. Import seaborn<jupyter_code>import seaborn as sns<jupyter_output><empty_output><jupyter_text>2. Import pyplot from matplotlib<jupyter_code>import matplotlib.pyplot as plt<jupyter_output><empty_output><jupyter_text>3. Import pandas for csv file reading<jupyter_code>import pandas as pd<jupyter_output><empty_output><jupyter_text>4. Write the code which allows to show plots in jupiter notebook<jupyter_code>%matplotlib inline<jupyter_output><empty_output><jupyter_text>5. Create a variable and read data from csv file in it<jupyter_code>pd.read_csv('ge')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08780487804878048, 'fraction_numerical': 0.008130081300813009, 'mean_word_length': 10.846153846153847, 'pattern_counts': {'":': 0, '<': 21, '<?xml version=': 0, '>': 21, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '124183', 'license': 'Unlicense', 'n_tokens_mistral': 231, 'n_tokens_neox': 227, 'n_words': 45, 'path': '.ipynb_checkpoints/Seaborn Task-checkpoint.ipynb', 'repo_name': 'alexudracul/learnDS', 'size': '615'}