text: import matplotlib.pyplot as plt
  import numpy as np
  import collections
  
  w = 8
  h = 8
  d = 70
  
  plt.figure(figsize=(w, h), dpi=d)
  data = np.genfromtxt("./data.csv", delimiter=",", skip_header=1, names=["timeStamp", "Latency"])
  #this part is to make the timestamps start at 0
  data.sort(axis=0)
  convert = lambda x: int(x)-int(data[0][0])
  data = np.genfromtxt("./data.csv", delimiter=",", skip_header=1, names=["timeStamp", "Latency"], converters={0: convert})
  data.sort(axis=0)
  plt.plot(data['timeStamp'], data['Latency'],color='DarkSlateBlue')
  
  #image 
  plt.savefig("./data.png")
  
  print("Overall requests " + str(len(data)))
  #Average Throughput
  print("Avg " + str(len(data)/(int(data[-1][0])/1000)))
  print("Took " + str(int(data[-1][0])) + "ms")
  