[{'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:seriesCount = df2['LoanAmt'].groupby(df2['State']).count()\nseriesInterest = df2['IntRate'].groupby(df2['State']).mean()\nseriesLA = df2['LoanAmt'].groupby(df2['State']).mean()\nseriesTerm = df2['Term'].groupby(df2['State']).agg(lambda x: x.value_counts().index[0])\nseriesGrade = df2['Grade'].groupby(df2['State']).agg(lambda x: x.value_counts().index[0])\nseriesEL = df2['EmpLength'].groupby(df2['State']).mean()\ncolumns=['State', 'Accepted Loans', 'Avg Interest Charged', 'Avg Loan Amount', 'Most Likely Term', 'Most Likely Grade', 'Avg EMP Length']\ndfSummary = pd.DataFrame({'State':seriesCount.index,'Accepted Loans': seriesCount,'Avg Interest Charged':seriesInterest,\n'Avg Loan Amount':seriesLA, 'Most Likely Term':seriesTerm, 'Most Likely Grade':seriesGrade, 'Avg EMP Length':seriesEL})"}, {'role': 'assistant', 'content': "['data_exploration']"}]