diff --git a/DRAMSys/analyzer/scripts/metrics.py b/DRAMSys/analyzer/scripts/metrics.py
index 5d066c03..0dd10e46 100644
--- a/DRAMSys/analyzer/scripts/metrics.py
+++ b/DRAMSys/analyzer/scripts/metrics.py
@@ -121,7 +121,7 @@ def memory_utilisation_in_Gbps(connection):
     # This function calculates the memory utilisation in Gbit/s considering the memory_utilisation_percent_new function result.
     maxDataRate = maximum_data_rate(connection)
     memoryPercent = memory_utilisation_percent_new(connection)
-    return (memoryPercent/100)*(maxDataRate/1024)
+    return (memoryPercent/100)*(maxDataRate/1000)
 
 
 @metric
diff --git a/DRAMSys/analyzer/scripts/plots.py b/DRAMSys/analyzer/scripts/plots.py
index bf1ad598..e0ce7194 100644
--- a/DRAMSys/analyzer/scripts/plots.py
+++ b/DRAMSys/analyzer/scripts/plots.py
@@ -62,7 +62,7 @@ def memory_utilisation_window(connection):
             bandwidthPercentage[i] = windowSize
         # print(bandwidthPercentage[i])
         bandwidthPercentage[i] = float(bandwidthPercentage[i]/windowSize)
-        bandwidth[i] = float(bandwidthPercentage[i])*float(maxDataRate)/1024
+        bandwidth[i] = float(bandwidthPercentage[i])*float(maxDataRate)/1000
         bandwidthPercentage[i] *= 100
 
     import matplotlib.pyplot as plt
@@ -72,7 +72,7 @@ def memory_utilisation_window(connection):
     time = np.arange(0, steps*windowSize, windowSize)
 
     plt.figure(1)
-    plt.plot(time/1000, bandwidthPercentage)
+    plt.bar(time/1000, bandwidthPercentage, width = windowSize/1000)
     plt.xlabel('Time (ns)')
     plt.ylabel('Bandwidth (%)')
     plt.ylim(0, 120)
@@ -82,7 +82,7 @@ def memory_utilisation_window(connection):
     windowPercentage.close()
 
     plt.figure(2)
-    plt.plot(time/1000, bandwidth)
+    plt.bar(time/1000, bandwidth, width = windowSize/1000)
     plt.xlabel('Time (ns)')
     plt.ylabel('Bandwidth (Gbit/s)')
     plt.grid(True)