diff --git a/src/caret_analyze/plot/visualize_lib/bokeh/bokeh.py b/src/caret_analyze/plot/visualize_lib/bokeh/bokeh.py
index d90876319..f303e10b7 100644
--- a/src/caret_analyze/plot/visualize_lib/bokeh/bokeh.py
+++ b/src/caret_analyze/plot/visualize_lib/bokeh/bokeh.py
@@ -24,7 +24,8 @@
 
 from caret_analyze.record import Frequency, Latency, Period, ResponseTime
 
-from numpy import empty, histogram
+import numpy as np
+from numpy import histogram
 
 from .callback_scheduling import BokehCallbackSched
 from .message_flow import BokehMessageFlow
@@ -256,8 +257,6 @@ def histogram(
                 if not isinstance(m, ResponseTime)
             ]
 
-        color_selector = ColorSelectorFactory.create_instance('unique')
-
         if data_type in ['period', 'latency', 'response_time']:
             data_list = [[_ *10**(-6) for _ in data] for data in data_list]
 
@@ -269,23 +268,41 @@ def histogram(
         else:
             data_range = None
 
-        for hist_type, target_object in zip(data_list, target_objects):
-            if len(hist_type) != 0:
-                hist, bins = histogram(hist_type, 20, data_range, density=False)
-            else:
-                hist = empty(0)
-                bins = empty(0)
-            quad = plot.quad(top=hist, bottom=0,
-                             left=bins[:-1], right=bins[1:],
-                             line_color='white', alpha=0.5,
-                             color=color_selector.get_color())
-            legend_manager.add_legend(target_object, quad)
-            hover = HoverTool(
-                tooltips=[(x_label, '@left'), ('The number of samples', '@top')], renderers=[quad]
-                )
-            plot.add_tools(hover)
+        hists = []
+
+        for hist_type in data_list:
+            hist, bins = histogram(hist_type, 20, data_range, density=False)
+            hists.append(hist)
+
+        hists_t = np.array(hists).T
+
+        color_selector = ColorSelectorFactory.create_instance('unique')
+        colors = [color_selector.get_color() for _ in target_objects]
+
+        quad_dicts: dict = {t: [] for t in target_objects}
+
+        for i, h in enumerate(hists_t):
+            data = list(zip(h, colors, target_objects))
+            data.sort(key=lambda x: x[0], reverse=True)
+            for top, color, target_object in data:
+                if top == 0:
+                    continue
+                quad = plot.quad(
+                    top=top, bottom=0, left=bins[i], right=bins[i+1],
+                    color=color, alpha=1, line_color='white'
+                    )
+                hover = HoverTool(
+                    tooltips=[(x_label, f'{bins[i]}'), ('The number of samples', f'{top}')],
+                    renderers=[quad]
+                    )
+                plot.add_tools(hover)
+                quad_dicts[target_object] = quad_dicts[target_object] + [quad]
+
+        for target_object_key, quad_value in quad_dicts.items():
+            legend_manager.add_legend(target_object_key, quad_value)
 
         legends = legend_manager.create_legends(20, False, location='top_right', separate=20)
         for legend in legends:
             plot.add_layout(legend, 'right')
+            plot.legend.click_policy = 'hide'
         return plot
diff --git a/src/caret_analyze/plot/visualize_lib/bokeh/util/legend.py b/src/caret_analyze/plot/visualize_lib/bokeh/util/legend.py
index b4f603300..d8e508665 100644
--- a/src/caret_analyze/plot/visualize_lib/bokeh/util/legend.py
+++ b/src/caret_analyze/plot/visualize_lib/bokeh/util/legend.py
@@ -39,7 +39,7 @@ def __init__(self) -> None:
     def add_legend(
         self,
         target_object: Any,
-        renderer: GlyphRenderer,
+        renderer: GlyphRenderer | list[GlyphRenderer],
         legend_word: str | None = None,
     ) -> None:
         """
@@ -58,7 +58,9 @@ def add_legend(
 
         """
         label = self.get_label(target_object, legend_word)
-        self._legend_items.append((label, [renderer]))
+        if not isinstance(renderer, list):
+            renderer = [renderer]
+        self._legend_items.append((label, renderer))
         self._legend[target_object] = label
 
     def create_legends(