[{'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:# Plotting correlations\nnum_feat=df_full.columns[df_full.dtypes!=object]\nnum_feat=num_feat[1:-1] \nlabels = []\nvalues = []\nfor col in num_feat:\n    labels.append(col)\n    values.append(np.corrcoef(df_full[col].values, df_full[\'Sales\'].values)[0,1])\n    \nind = np.arange(len(labels))\nwidth = 0.9\nfig, ax = plt.subplots(figsize=(10,15))\nrects = ax.barh(ind, np.array(values), color=\'red\')\nax.set_yticks(ind+((width)/2.))\nax.set_yticklabels(labels, rotation=\'horizontal\')\nax.set_xlabel("Correlation coefficient")\nax.set_title("Correlation Coefficients w.r.t Sales")\''}, {'role': 'assistant', 'content': "['result_visualization']"}]