[{'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:df_exp[df_exp.Year==\'1990\'].IWRuralPct.plot(figsize=(7,7), kind="hist", bins=20, label="1990", xlim=(0, 100), ylim=(0, 150), grid=True)\ndf_exp[df_exp.Year==\'2000\'].IWRuralPct.plot(kind="hist", bins=20, label="2000", grid=True)\ndf_exp[df_exp.Year==\'2015\'].IWRuralPct.plot(kind="hist", bins=20, label="2015", grid=True)\npyplot.title("Rural Access to Drinking Water")\npyplot.xlabel("Access Pct")\npyplot.ylabel("Number of Countries")\npyplot.legend()'}, {'role': 'assistant', 'content': "['data_exploration']"}]