[{'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:from matplotlib import pyplot as plt\nfrom sklearn.datasets.samples_generator import make_blobs\n%matplotlib inline\ncenters = [[1, 1], [0, 1], [0,0]]\ndata, labels_true = make_blobs(n_samples=750, centers=centers, cluster_std=0.25)\nplt.figure(figsize=(15, 5))\nplt.subplot(1,2,1)\nplt.scatter(data[:, 0], data[:, 1], s=20)\nplt.grid()\nplt.subplot(1,2,2)\nplt.scatter(data[:, 0], data[:, 1], c=labels_true,\ncmap=plt.cm.rainbow, s=20, linewidths=0)\nplt.grid()\nplt.show()'}, {'role': 'assistant', 'content': 'data_exploration'}]