<jupyter_start><jupyter_text>Basic Plotting<jupyter_code>vh.plot_data(data = df[['Age','Fare','SibSp','Parch']])
vh.plot_data(data = df[['Sex','Embarked']], kind='count')<jupyter_output><empty_output><jupyter_text>Plotting with Error Handling<jupyter_code>vh.plot_data(data = df[['Age','Fare','SibSp','Parch','Sex','Embarked']])
vh.plot_data(data = df[['Age','Fare','SibSp','Parch','Sex','Embarked']], kind='count')<jupyter_output>C:\ProgramData\Anaconda3\lib\site-packages\more\viz_helper\plot_data.py:34: UserWarning: The data has numeric columns Index(['Age', 'Fare', 'SibSp', 'Parch'], dtype='object') for which a count plot will not be plotted
  warnings.warn("The data has numeric columns {} for which a count plot will not be plotted".format(num_columns))
{'fraction_non_alphanumeric': 0.1942257217847769, 'fraction_numerical': 0.003937007874015748, 'mean_word_length': 10.057971014492754, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '506940', 'license': 'MIT', 'n_tokens_mistral': 294, 'n_tokens_neox': 277, 'n_words': 47, 'path': 'examples/visualization_helper/.ipynb_checkpoints/plot_data-checkpoint.ipynb', 'repo_name': 'ngupta23/more', 'size': '762'}