[{'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.temp.unique()\nfig,axes=plt.subplots(2,2)\naxes[0,0].hist(x="temp",data=df,edgecolor="black",linewidth=2,color=\'#ff4125\')\naxes[0,0].set_title("Variation of temp")\naxes[0,1].hist(x="atemp",data=df,edgecolor="black",linewidth=2,color=\'#ff4125\')\naxes[0,1].set_title("Variation of atemp")\naxes[1,0].hist(x="windspeed",data=df,edgecolor="black",linewidth=2,color=\'#ff4125\')\naxes[1,0].set_title("Variation of windspeed")\naxes[1,1].hist(x="humidity",data=df,edgecolor="black",linewidth=2,color=\'#ff4125\')\naxes[1,1].set_title("Variation of humidity")\nfig.set_size_inches(10,10)\''}, {'role': 'assistant', 'content': "['result_visualization']"}]