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