diff --git a/Scripts/cj_analysis.py b/Scripts/cj_analysis.py
index c4b48a9dc112cb29793aa1a5a95662b81f63b0e9..b962aab18d88c9f35ab5932405390461a5a54d9d 100644
--- a/Scripts/cj_analysis.py
+++ b/Scripts/cj_analysis.py
@@ -294,17 +294,20 @@ def plot_inputs_type_ratio(mix_id: str, data: dict, initial_cj_index: int, ax, a
         if not analyze_values and not normalize_values:
             ax.set_ylabel('Number of inputs')
 
-    WINDOWS_SIZE = 5
-    remix_ratios_all = [input_types[MIX_EVENT_TYPE.MIX_REMIX.name][i] * 100 for i in range(len(input_types[MIX_EVENT_TYPE.MIX_REMIX.name]))]  # All remix including nonstandard
-    remix_ratios_nonstd = [input_types['MIX_REMIX_nonstd'][i] * 100 for i in range(len(input_types['MIX_REMIX_nonstd']))]  # Nonstd remixes
-    remix_ratios_std = [remix_ratios_all[i] - remix_ratios_nonstd[i] for i in range(len(remix_ratios_all))]  # Only standard remixes
-    remix_ratios_avg = [np.average(remix_ratios_std[i:i+WINDOWS_SIZE]) for i in range(0, len(remix_ratios_std), WINDOWS_SIZE)]
-    if ax:
-        ax2 = ax.twinx()
-        ax2.plot(range(0, len(remix_ratios_avg), WINDOWS_SIZE), remix_ratios_avg, label=f'MIX_REMIX avg({WINDOWS_SIZE})', color='brown', linewidth=1, linestyle='--', alpha=0.4)
-        ax2.set_ylim(0, 100)  # Force whole range of yaxis
-        ax2.tick_params(axis='y', colors='brown', labelsize=6)
-        ax2.set_ylabel('Average remix rate %', color='brown', fontsize='6')
+    PLOT_REMIX_RATIO = False
+    if PLOT_REMIX_RATIO:
+        WINDOWS_SIZE = 1
+        remix_ratios_all = [input_types[MIX_EVENT_TYPE.MIX_REMIX.name][i] * 100 for i in range(len(input_types[MIX_EVENT_TYPE.MIX_REMIX.name]))]  # All remix including nonstandard
+        remix_ratios_nonstd = [input_types['MIX_REMIX_nonstd'][i] * 100 for i in range(len(input_types['MIX_REMIX_nonstd']))]  # Nonstd remixes
+        remix_ratios_std = [remix_ratios_all[i] - remix_ratios_nonstd[i] for i in range(len(remix_ratios_all))]  # Only standard remixes
+        remix_ratios_avg = [np.average(remix_ratios_std[i:i+WINDOWS_SIZE]) for i in range(0, len(remix_ratios_std), WINDOWS_SIZE)]
+        if ax:
+            ax2 = ax.twinx()
+            ax2.plot(range(0, len(remix_ratios_avg), WINDOWS_SIZE), remix_ratios_avg, label=f'MIX_REMIX avg({WINDOWS_SIZE})', color='brown', linewidth=1, linestyle='--', alpha=0.4)
+            ax2.set_ylim(0, 100)  # Force whole range of yaxis
+            ax2.tick_params(axis='y', colors='brown', labelsize=6)
+            ax2.set_ylabel('Average remix rate %', color='brown', fontsize='6')
+
     return input_types