Create visualization.py

visualization.py

@@ -0,0 +1,36 @@
+import plotly.graph_objects as go
+import random
+
+def create_comparison_chart(user_data):
+    categories = ['Team Strength', 'Market Potential', 'Mission Clarity', 'Innovation', 'Scalability']
+    
+    # Generate random scores for the user's company and a top-tier company
+    user_scores = [random.uniform(0.3, 0.9) for _ in range(len(categories))]
+    top_tier_scores = [random.uniform(0.7, 1.0) for _ in range(len(categories))]
+    
+    fig = go.Figure()
+    
+    fig.add_trace(go.Scatterpolar(
+        r=user_scores,
+        theta=categories,
+        fill='toself',
+        name='Your Company'
+    ))
+    
+    fig.add_trace(go.Scatterpolar(
+        r=top_tier_scores,
+        theta=categories,
+        fill='toself',
+        name='Top-Tier Company'
+    ))
+    
+    fig.update_layout(
+        polar=dict(
+            radialaxis=dict(
+                visible=True,
+                range=[0, 1]
+            )),
+        showlegend=True
+    )
+    
+    return fig