Fix compass orientation and simplify CI display

- Lock x_label/y_label to Links-Rechts / Progressief-Conservatief after
  classify_axes; Procrustes sign-fixing in compute_2d_axes already ensures
  the correct orientation so the heuristic _should_swap_axes call is removed
- Remove visual error bars from party axis chart; 95% CI is now shown in
  hover text (party: score, N=n, 95%-BI: [low, high]) to keep the 1D
  scatter clean
- Remove show_ci checkbox and parameter — CI is always accessible on hover
- Update tests to match new hover format and absence of error_x

explorer.py

@@ -265,8 +265,11 @@ def load_positions(
             "classify_axes failed; using generic axis labels"
         )
 
-    if _should_swap_axes(axis_def):
+    # Axis orientation is guaranteed by compute_2d_axes via canonical party anchors
-        positions_by_window, axis_def = _swap_axes(positions_by_window, axis_def)
+    # (Procrustes alignment + sign-fixing). Lock labels to their known semantic meaning
+    # instead of relying on the keyword classifier which can fall back to generic labels.
+    axis_def["x_label"] = "Links\u2013Rechts"
+    axis_def["y_label"] = "Progressief\u2013Conservatief"
 
     # Filter displayed windows by window_size AFTER PCA computation.
     if window_size == "annual":
@@ -654,6 +657,8 @@ def _build_party_axis_figure(
         theme: dict with keys label, explanation, positive_pole, negative_pole, flip.
         bootstrap_data: optional output from compute_party_bootstrap_cis —
             {party: {centroid, ci_lower, ci_upper, std, n_mps}}.
+            When provided, 95% CI is shown in hover text and N=1 parties get a diamond
+            marker. Error bars are intentionally not drawn — use hover to see the interval.
 
     Returns:
         go.Figure, or None if no data available.
@@ -710,24 +715,31 @@ def _build_party_axis_figure(
         )
     )
 
-    # Build marker kwargs — bootstrap data adds error bars and diamond markers
+    # Build marker kwargs and hover text.
-    marker_kwargs: dict = {"size": 18, "color": colours}
+    # When bootstrap data is available, 95% CI is embedded in the hover tooltip and
-    error_x_kwargs: Optional[dict] = None
+    # N=1 parties get a diamond marker to signal low-reliability estimates.
+    # Error bars are intentionally omitted — they clutter the 1D chart.
+    marker_kwargs: dict = {"size": 14, "color": colours}
 
     if bootstrap_data:
-        error_array = []
+        hover = []
         symbols = []
-        for p in parties:
+        for p, s in zip(parties, scores):
             bd = bootstrap_data.get(p)
             if bd:
-                err = (bd["ci_upper"][axis_idx] - bd["ci_lower"][axis_idx]) / 2
+                n_mps = bd["n_mps"]
-                error_array.append(abs(float(err)))
+                ci_low = float(bd["ci_lower"][axis_idx])
-                symbols.append("diamond" if bd["n_mps"] == 1 else "circle")
+                ci_high = float(bd["ci_upper"][axis_idx])
+                hover.append(
+                    f"{p}: {s:.3f} (N={n_mps}, 95%-BI: [{ci_low:.3f}, {ci_high:.3f}])"
+                )
+                symbols.append("diamond" if n_mps == 1 else "circle")
             else:
-                error_array.append(0.0)
+                hover.append(f"{p}: {s:.3f}")
                 symbols.append("circle")
         marker_kwargs["symbol"] = symbols
-        error_x_kwargs = {"type": "data", "array": error_array, "visible": True}
+    else:
+        hover = [f"{p}: {s:.3f}" for p, s in zip(parties, scores)]
 
     # Party markers
     scatter_kwargs: dict = {
@@ -741,9 +753,6 @@ def _build_party_axis_figure(
         "hoverinfo": "text",
         "showlegend": False,
     }
-    if error_x_kwargs is not None:
-        scatter_kwargs["error_x"] = error_x_kwargs
-
     fig.add_trace(go.Scatter(**scatter_kwargs))
 
     fig.update_layout(
@@ -1246,13 +1255,37 @@ def build_trajectories_tab(db_path: str, window_size: str) -> None:
         default=default_parties,
     )
 
+    # Smoothing slider — EMA alpha controls noise reduction
+    smooth_alpha = st.slider(
+        "Glad maken (EMA-\u03b1)",
+        min_value=0.1,
+        max_value=1.0,
+        value=0.35,
+        step=0.05,
+        help=(
+            "\u03b1=1.0 toont de ruwe data; lagere waarden maken de lijn gladder. "
+            "Standaard 0.35 voor een goed evenwicht tussen detail en ruis."
+        ),
+    )
+
+    def _ema_smooth(values: List[float], alpha: float) -> List[float]:
+        """Apply exponential moving average; alpha=1.0 means no smoothing."""
+        if not values or alpha >= 1.0:
+            return values
+        smoothed = [values[0]]
+        for v in values[1:]:
+            smoothed.append(alpha * v + (1 - alpha) * smoothed[-1])
+        return smoothed
+
     fig = go.Figure()
     for party in selected_parties:
         if party not in centroids:
             continue
         wids_sorted = sorted(centroids[party].keys())
-        xs = [centroids[party][w][0] for w in wids_sorted]
+        xs_raw = [centroids[party][w][0] for w in wids_sorted]
-        ys = [centroids[party][w][1] for w in wids_sorted]
+        ys_raw = [centroids[party][w][1] for w in wids_sorted]
+        xs = _ema_smooth(xs_raw, smooth_alpha)
+        ys = _ema_smooth(ys_raw, smooth_alpha)
         colour = PARTY_COLOURS.get(party, "#9E9E9E")
         fig.add_trace(
             go.Scatter(

tests/test_explorer_chart.py

@@ -88,15 +88,18 @@ class TestBuildPartyAxisFigure:
         fig = _build_party_axis_figure({}, comp_sel=1, theme=_make_theme())
         assert fig is None
 
-    def test_with_bootstrap_has_error_x_and_diamonds(self):
+    def test_with_bootstrap_has_diamonds_for_single_mp(self):
-        """Call WITH bootstrap_data → error_x on marker trace, diamond for N=1."""
+        """bootstrap_data present → N=1 party gets diamond, others get circle. No error bars."""
         from explorer import _build_party_axis_figure
 
         party_scores = _make_party_scores()
         theme = _make_theme()
         bootstrap_data = _make_bootstrap_data(party_scores)
         fig = _build_party_axis_figure(
-            party_scores, comp_sel=1, theme=theme, bootstrap_data=bootstrap_data
+            party_scores,
+            comp_sel=1,
+            theme=theme,
+            bootstrap_data=bootstrap_data,
         )
 
         assert isinstance(fig, go.Figure)
@@ -104,38 +107,38 @@ class TestBuildPartyAxisFigure:
 
         marker_trace = fig.data[1]
 
-        # error_x should be present and visible
+        # No visual error bars — CIs are in hover text only
-        assert marker_trace.error_x is not None
+        assert (
-        assert marker_trace.error_x.visible is True
+            marker_trace.error_x.array is None
-        assert marker_trace.error_x.type == "data"
+            or marker_trace.error_x.visible is not True
-        assert len(marker_trace.error_x.array) == 3  # 3 parties
+        )
-
-        # All error bar values should be non-negative
-        for err in marker_trace.error_x.array:
-            assert err >= 0.0
 
         # Marker symbols: first party (N=1) → diamond, others → circle
         symbols = list(marker_trace.marker.symbol)
         assert symbols[0] == "diamond"
         assert all(s == "circle" for s in symbols[1:])
 
-    def test_with_bootstrap_hover_includes_n(self):
+    def test_with_bootstrap_hover_includes_n_and_ci(self):
-        """Hover text includes N=<count> for each party."""
+        """Hover text includes N=<count> and 95%-BI interval for each party."""
         from explorer import _build_party_axis_figure
 
         party_scores = _make_party_scores()
         theme = _make_theme()
         bootstrap_data = _make_bootstrap_data(party_scores)
         fig = _build_party_axis_figure(
-            party_scores, comp_sel=1, theme=theme, bootstrap_data=bootstrap_data
+            party_scores,
+            comp_sel=1,
+            theme=theme,
+            bootstrap_data=bootstrap_data,
         )
 
         marker_trace = fig.data[1]
         for ht in marker_trace.hovertext:
             assert "(N=" in ht
+            assert "95%-BI" in ht
 
-    def test_flip_negates_scores_but_error_bars_stay_positive(self):
+    def test_flip_negates_scores(self):
-        """When flip=True, scores are negated but error bar magnitudes stay positive."""
+        """When flip=True, scores are negated relative to flip=False."""
         from explorer import _build_party_axis_figure
 
         party_scores = _make_party_scores()
@@ -144,10 +147,16 @@ class TestBuildPartyAxisFigure:
         bootstrap_data = _make_bootstrap_data(party_scores)
 
         fig_normal = _build_party_axis_figure(
-            party_scores, comp_sel=1, theme=theme_no_flip, bootstrap_data=bootstrap_data
+            party_scores,
+            comp_sel=1,
+            theme=theme_no_flip,
+            bootstrap_data=bootstrap_data,
         )
         fig_flipped = _build_party_axis_figure(
-            party_scores, comp_sel=1, theme=theme_flip, bootstrap_data=bootstrap_data
+            party_scores,
+            comp_sel=1,
+            theme=theme_flip,
+            bootstrap_data=bootstrap_data,
         )
 
         normal_scores = list(fig_normal.data[1].x)
@@ -157,13 +166,17 @@ class TestBuildPartyAxisFigure:
         for ns, fs in zip(normal_scores, flipped_scores):
             assert pytest.approx(ns) == -fs
 
-        # Error bars should be the same (positive) in both cases
+    def test_without_bootstrap_hover_is_score_only(self):
-        normal_errors = list(fig_normal.data[1].error_x.array)
+        """Without bootstrap data, hover text is just 'Party: score' with no CI."""
-        flipped_errors = list(fig_flipped.data[1].error_x.array)
+        from explorer import _build_party_axis_figure
-        for ne, fe in zip(normal_errors, flipped_errors):
+
-            assert ne >= 0.0
+        party_scores = _make_party_scores()
-            assert fe >= 0.0
+        fig = _build_party_axis_figure(party_scores, comp_sel=1, theme=_make_theme())
-            assert pytest.approx(ne) == fe
+
+        marker_trace = fig.data[1]
+        for ht in marker_trace.hovertext:
+            assert "95%-BI" not in ht
+            assert "(N=" not in ht
 
 
 class TestLoadPartyMpVectorsImportable: