[{'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:# This method helps in understanding the correlation between the different features and the Revenue.\ndef featureCatPlot(col):\n    \n    plt.figure(figsize=(15,6))\n    i=1\n    if not data[col].dtype.name=='int64' and not data[col].dtype.name=='float64':\n        plt.subplot(1,2,i)\n        sns.boxplot(x=col,y='revenue',data=data)\n        plt.xticks(rotation=60)\n        plt.ylabel('Revenue')\n        i+=1 \n        plt.subplot(1,2,i)\n        mean=data.groupby(col)['revenue'].mean()\n        level=mean.sort_values().index.tolist()\n        data[col]=data[col].astype('category')\n        data[col].cat.reorder_categories(level,inplace=True)\n        data[col].value_counts().plot()\n        plt.xticks(rotation=60)\n        plt.xlabel(col)\n        plt.ylabel('Counts')       \n        plt.show()"}, {'role': 'assistant', 'content': 'result_visualization'}]