[{'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:%matplotlib inline\nrcParams['figure.figsize'] = 18, 8\nmoving_average50_gc_content = (runningMeanFast ((counts_dataframe ['Gs'] + counts_dataframe ['Cs'])/ counts_dataframe ['coverage'] , 50))\nmoving_average50 = (runningMeanFast (counts_dataframe ['majorbase_ratio'], 50))\nplt.suptitle('XXXXXXX', fontsize=15, fontweight='bold')\nplt.plot (counts_dataframe ['position'], moving_average50, 'r-') #(position, coverage, 'r-')\nplt.plot (counts_dataframe ['position'], moving_average50_gc_content, 'k-')\nplt.xlabel ('Genome Position')\nplt.ylabel ('Probability of Sequencing Error')"}, {'role': 'assistant', 'content': 'data_exploration'}]