| import pandas as pd | |
| import numpy as np | |
| class Analyzer: | |
| def analyze_data(self, df, prompt): | |
| # This is a simple implementation. In a real-world scenario, | |
| # you might want to use more sophisticated NLP techniques. | |
| if "correlation" in prompt.lower(): | |
| return df.corr().to_string() | |
| elif "summary" in prompt.lower(): | |
| return df.describe().to_string() | |
| elif "unique" in prompt.lower(): | |
| return {col: df[col].nunique() for col in df.columns} | |
| else: | |
| return "I'm sorry, I couldn't understand your analysis request. Please try asking about correlation, summary statistics, or unique values." |