[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:df_store_check_distribution=df_store.drop(df_store[pd.isnull(df_store.CompetitionDistance)].index)\nfig, axes = plt.subplots(1, 2, figsize=(17,3.5))\naxes[0].boxplot(df_store_check_distribution.CompetitionDistance, showmeans=True,vert=False,)\naxes[0].set_xlim(0,max(df_store_check_distribution.CompetitionDistance+1000))\naxes[0].set_title(\'Boxplot For Closest Competition\')\naxes[1].hist(df_store_check_distribution.CompetitionDistance, cumulative=False, bins=30)\naxes[1].set_title("Closest Competition histogram")\naxes[1].set_xlim((min(df_store_check_distribution.CompetitionDistance), max(df_store_check_distribution.CompetitionDistance)))\n{"Mean":np.nanmean(df_store.CompetitionDistance),"Median":np.nanmedian(df_store.CompetitionDistance),"Standard Dev":np.nanstd(df_store.CompetitionDistance)}#That\'s what i thought, very different values, let\'s see why \''}, {'role': 'assistant', 'content': 'result_visualization'}]