[{'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:freq = {}\nwith open(\'Analysis 1.csv\') as f:\nreader = csv.DictReader(f)\ni= 0\nfor r in reader:\nif i == 15:break\nfreq[r[\'Domain\']] = int(r[\'Frequency\'])\ni+=1\nfreq = sorted(freq.items(), key=operator.itemgetter(1))\nlabels, values = zip(*freq)\nplt.barh(range(len(freq)), values, align=\'center\')\nplt.yticks(range(len(freq)), labels)\nfig = plt.gcf()\nfig.set_size_inches(15, 10)\nplt.suptitle(\'Frequency of mails per domain\' , fontsize=20, fontweight=\'bold\')\nplt.ylabel("Domain names", fontsize=15)\nplt.xlabel("Number of emails", fontsize=15)\nplt.show()'}, {'role': 'assistant', 'content': 'load_data'}]