[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:age16 = Scatter(\nx=x_16,\ny=y_16,\nmode=\'markers+lines\',\nname = \'age 16\'\n)\nage17 = Scatter(\nx=x_17,\ny=y_17,\nmode=\'markers+lines\',\nname = \'age 17\'\n)\nage19 = Scatter(\nx=x_19,\ny=y_19,\nmode=\'markers+lines\',\nname = \'age 19\'\n)\nage20 = Scatter(\nx=x_20,\ny=y_20,\nmode=\'markers+lines\',\nname = \'age 20\'\n)\nlayout = Layout(\ntitle=\'Health care expend. distribution functions\',\nxaxis=XAxis(\nrange=[0,3000],\ntitle=\'expenditure per head\',\ntitlefont=Font(\nfamily=\'Courier New, monospace\',\nsize=18,\ncolor=\'#7f7f7f\'\n)\n),\nyaxis=YAxis(\ntitle=\'cum. distribution function\',\ntitlefont=Font(\nfamily=\'Courier New, monospace\',\nsize=18,\ncolor=\'#7f7f7f\'\n)\n)\n)\ndata = Data([age16,age17,age19,age20])\nfig = Figure(data=data, layout=layout)\npy.plot(fig, filename=\'Distribution functions of health care expenditure per head\')\ntls.embed("https://plot.ly/~janboone/301")'}, {'role': 'assistant', 'content': "['data_exploration']"}]