better fig

app.py

@@ -286,7 +286,7 @@ def create_scaling_plot(all_data, period):
 
     x_min = connection_points['Log Params(B)'].min()
     x_max = connection_points['Log Params(B)'].max()
-    extended_x = np.linspace(x_min, x_max * 1.25, 100)
+    extended_x = np.linspace(x_min, x_max * 1.5, 100)
     extended_x_original = np.exp(extended_x)
     trend_line_y = model.predict(extended_x.reshape(-1, 1))
     trend_line_y_original = np.exp(trend_line_y)