<jupyter_start><jupyter_text>From https://seaborn.pydata.org/generated/seaborn.scatterplot.html and https://seaborn.pydata.org/generated/seaborn.lmplot.html<jupyter_code>import seaborn as sns
%config InlineBackend.figure_format = 'retina'
sns.set(rc={'figure.figsize':(11.7,8.27)})

tips = sns.load_dataset("tips")

sns.scatterplot(data=tips, x="total_bill", y="tip")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16624685138539042, 'fraction_numerical': 0.015113350125944584, 'mean_word_length': 8.255813953488373, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, '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': '655871', 'license': 'MIT', 'n_tokens_mistral': 168, 'n_tokens_neox': 165, 'n_words': 16, 'path': '01_level0_seaborn.ipynb', 'repo_name': 'nicolaskruchten/pydata_global_2021', 'size': '397'}