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import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from datetime import datetime
%matplotlib inline


dtypes = {'Timestamp': datetime,
          'Station ID': str,
          'Lane 1 Flow': np.float,
          'Lane 1 Occupancy': np.float,
          'Lane 2 Flow': np.float,
          'Lane 2 Occupancy': np.float,
          'Lane 3 Flow': np.float,
          'Lane 3 Occupancy': np.float,
          'Lane 4 Flow': np.float,
          'Lane 4 Occupancy': np.float,
          'Lane 5 Flow': np.float,
          'Lane 5 Occupancy': np.float,
          'Lane 6 Flow': np.float,
          'Lane 6 Occupancy': np.float,
          'Lane 7 Flow': np.float,
          'Lane 7 Occupancy': np.float,
          'Lane 8 Flow': np.float,
          'Lane 8 Occupancy': np.float}


    

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raw_data = pd.read_csv("../resources/Freeways-Rawaa.csv", header =1, dtype = dtypes, names = dtypes.keys())


    

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print raw_data.describe()


    

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