missing data analysis

plots.py

@@ -96,6 +96,11 @@ class QualtricsPlotsMixin:
         sl_threshold = getattr(self, 'sl_threshold', None)
         if sl_threshold is not None:
             parts.append(f"SL-gte{sl_threshold}")
+        
+        # Append voice ranking filter if set
+        vr_filter = getattr(self, 'voice_ranking_filter', None)
+        if vr_filter is not None:
+            parts.append(f"VR-{vr_filter}")
 
         if not parts:
             return "All_Respondents"
@@ -191,6 +196,15 @@ class QualtricsPlotsMixin:
         sl_threshold = getattr(self, 'sl_threshold', None)
         if sl_threshold is not None:
             parts.append(f"STRAIGHT-LINER EXCL: ≥{sl_threshold} question groups")
+        
+        # Append voice ranking filter if set
+        vr_filter = getattr(self, 'voice_ranking_filter', None)
+        if vr_filter is not None:
+            vr_labels = {
+                'only-missing': 'ONLY respondents missing voice ranking (QID98)',
+                'exclude-missing': 'EXCLUDING respondents missing voice ranking (QID98)',
+            }
+            parts.append(f"VOICE RANKING: {vr_labels.get(vr_filter, vr_filter)}")
 
         if not parts:
             # No filters active - return just sample size (or empty string if no sample size)