Create analyzer.py

analyzer.py

@@ -0,0 +1,15 @@
+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."