[{'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:# A violin plot is a hybrid of a box plot and a kernel density plot, which shows peaks in the data.\ncols = df_train.columns\nsize = len(cols) - 1 # We don't need the target attribute\n# x-axis has target attributes to distinguish between classes\nx = cols[size]\ny = cols[0:size]\n\nfor i in range(0, size):\n    sns.violinplot(data=df_train, x=x, y=y[i])\n    plt.show()"}, {'role': 'assistant', 'content': 'result_visualization'}]