diff --git a/explorer.py b/explorer.py
index 7c01fce..8993186 100644
--- a/explorer.py
+++ b/explorer.py
@@ -17,6 +17,7 @@ from __future__ import annotations
 import json
 import logging
 import os
+import re
 from typing import Dict, List, Optional, Tuple
 
 import duckdb
@@ -572,45 +573,94 @@ def build_compass_tab(db_path: str, window_size: str) -> None:
 
     col1, col2 = st.columns([3, 1])
     with col2:
-        window_idx = st.select_slider(
-            "Tijdsvenster", options=windows, value=windows[-1]
+        window_idx = st.selectbox(
+            "Tijdsvenster", options=windows, index=len(windows) - 1
+        )
+        level = st.radio(
+            "Weergave",
+            options=["Kamerleden", "Partijen"],
+            index=0,
+            horizontal=True,
         )
-        show_names = st.checkbox("Toon namen", value=False)
-        min_size = st.slider("Min. MPs per partij", 0, 20, 3)
 
     pos = positions_by_window.get(window_idx, {})
     if not pos:
         st.info(f"Geen data voor venster {window_idx}")
         return
 
+    # Deduplicate MPs whose names appear both with and without a parenthetical first name,
+    # e.g. "Dijk, J.P." and "Dijk, J.P. (Jimmy)". Keep the canonical (stripped) name and
+    # average positions if both variants are present.
+    def _strip_paren(name: str) -> str:
+        return re.sub(r"\s*\([^)]*\)", "", name).strip()
+
+    deduped: Dict[str, Tuple[float, float]] = {}
+    for name, (x, y) in pos.items():
+        base = _strip_paren(name)
+        if base in deduped:
+            ox, oy = deduped[base]
+            deduped[base] = ((ox + x) / 2, (oy + y) / 2)
+        else:
+            deduped[base] = (x, y)
+    pos = deduped
+
     rows = []
     for name, (x, y) in pos.items():
-        party = party_map.get(name, "Unknown")
+        party = party_map.get(name) or party_map.get(_strip_paren(name), "Unknown")
         rows.append({"name": name, "x": x, "y": y, "party": party})
 
     df_pos = pd.DataFrame(rows)
 
-    # Filter to parties with enough MPs
-    party_counts = df_pos["party"].value_counts()
-    valid_parties = party_counts[party_counts >= min_size].index
-    df_pos = df_pos[df_pos["party"].isin(valid_parties)]
-
-    colour_map = {p: PARTY_COLOURS.get(p, "#9E9E9E") for p in df_pos["party"].unique()}
-
-    fig = px.scatter(
-        df_pos,
-        x="x",
-        y="y",
-        color="party",
-        hover_name="name",
-        hover_data={"party": True, "x": ":.3f", "y": ":.3f"},
-        color_discrete_map=colour_map,
-        title=f"Politiek Kompas — {window_idx}",
-        labels={"x": "Links ← → Rechts", "y": "Progressief ↑ / Conservatief ↓"},
+    if level == "Partijen":
+        # Aggregate to party centroids
+        df_party = (
+            df_pos[df_pos["party"] != "Unknown"]
+            .groupby("party", as_index=False)
+            .agg(x=("x", "mean"), y=("y", "mean"), n=("name", "count"))
+        )
+        df_party["name"] = df_party["party"]
+        colour_map = {
+            p: PARTY_COLOURS.get(p, "#9E9E9E") for p in df_party["party"].unique()
+        }
+        fig = px.scatter(
+            df_party,
+            x="x",
+            y="y",
+            color="party",
+            text="party",
+            hover_name="party",
+            hover_data={"party": False, "x": ":.3f", "y": ":.3f", "n": True},
+            color_discrete_map=colour_map,
+            title=f"Politiek Kompas — {window_idx} (partijen)",
+            labels={
+                "x": "Links ← → Rechts",
+                "y": "Progressief ↑ / Conservatief ↓",
+                "n": "Kamerleden",
+            },
+        )
+        fig.update_traces(textposition="top center", marker_size=14)
+    else:
+        colour_map = {
+            p: PARTY_COLOURS.get(p, "#9E9E9E") for p in df_pos["party"].unique()
+        }
+        fig = px.scatter(
+            df_pos,
+            x="x",
+            y="y",
+            color="party",
+            hover_name="name",
+            hover_data={"party": True, "x": ":.3f", "y": ":.3f"},
+            color_discrete_map=colour_map,
+            title=f"Politiek Kompas — {window_idx}",
+            labels={"x": "Links ← → Rechts", "y": "Progressief ↑ / Conservatief ↓"},
+        )
+
+    fig.update_layout(
+        height=600,
+        legend_title_text="Partij",
+        xaxis={"range": [-1, 1]},
+        yaxis={"range": [-0.6, 0.6]},
     )
-    if show_names:
-        fig.update_traces(text=df_pos["name"], textposition="top center")
-    fig.update_layout(height=600, legend_title_text="Partij")
 
     with col1:
         st.plotly_chart(fig, use_container_width=True)