[{'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:import matplotlib.pyplot as plt1\nplt1.figure(figsize=(20,20))\nplt1.subplot(4,2,1)\nplt1.hist(df2["season"])\nplt1.xlabel("season")\nplt1.ylabel("count")\nplt1.subplot(4,2,2)\nplt1.hist(df2["holiday"])\nplt1.xlabel("holiday")\nplt1.ylabel("count")\nplt1.subplot(4,2,3)\nplt1.hist(df2["workingday"])\nplt1.xlabel("workingday")\nplt1.ylabel("count")\nplt1.subplot(4,2,4)\nplt1.hist(df2["weather"])\nplt1.xlabel("weather")\nplt1.ylabel("count")\nplt1.subplot(4,2,5)\nplt1.hist(df2["temp"])\nplt1.xlabel("temp")\nplt1.ylabel("count")\nplt1.subplot(4,2,6)\nplt1.hist(df2["atemp"])\nplt1.xlabel("atemp")\nplt1.ylabel("count")\nplt1.subplot(4,2,7)\nplt1.hist(df2["humidity"])\nplt1.xlabel("humidity")\nplt1.ylabel("count")\nplt1.subplot(4,2,8)\nplt1.hist(df2["windspeed"])\nplt1.xlabel("windspeed")\nplt1.ylabel("count")\nplt1.show()'}, {'role': 'assistant', 'content': 'result_visualization'}]