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The objective of this coding problem is the prediction of a proposed metro extension construction project based on the people's opinion. There are three alternatives to choose they are as follows: Eglington-Pickering Line Airport-Vaughan Line Airport-Hamilton Line The datasets are available in the "Test_2-Part_B (Coding Data Analytics Problem)" folder under assignment.     Task-1: Metro-Ext.xlsx is the training and test dataset; you will consider 80% of the data for training and 20% for test. Build a (1) Logistic regression (2) KNN and (3) Naïve Bayes model to predict on the test dataset and compute the confusion matrix for each model and compare the result.   (PLEASE PLACE CHART IN EXCEL BEFORE CODING AND SAVE AS Metro-Ext.xlsx)   Feasibility and Constructability Slopes and Gradients Urban Realm Geology and Soil Stability Land Acquisition Work Opportunities Economy in Movement of People Revenue Generation Access to the Social, Recreational and Emergency Services Neighbourhood Acceptance (Sound, Vibration, etc) Improvement of Quality of Life Convenience in Movement of People Protection of the Ecosystem Pollution (Water, Air, Soil, Visual) Control CO2 Emission Control Conservation of Vegetation and Plants Alternatives 4.80 3.21 2.81 4.34 4.36 3.60 3.85 4.13 4.37 1.38 2.55 3.78 3.52 3.63 2.95 3.42 Eglington-Pickering 3.94 2.84 2.70 4.88 4.49 4.19 4.91 3.34 4.11 1.96 2.29 4.88 3.49 2.95 2.69 3.42 Eglington-Pickering 3.76 3.39 2.49 4.47 3.52 4.07 3.63 4.00 4.02 2.53 2.87 3.79 2.82 3.18 2.89 3.14 Eglington-Pickering 3.75 2.72 2.85 3.85 4.15 4.56 3.82 4.56 4.18 1.59 2.62 4.35 3.55 2.50 2.35 3.07 Eglington-Pickering 4.75 2.97 2.37 3.93 4.44 4.24 3.90 4.06 3.49 1.90 2.63 3.67 3.44 2.73 2.70 2.98 Eglington-Pickering 3.22 2.28 3.03 4.12 4.08 4.62 3.94 3.12 3.59 1.68 2.97 4.65 2.57 3.33 2.20 2.29 Eglington-Pickering 4.15 3.10 3.32 3.83 4.34 4.01 4.75 3.98 4.26 2.06 2.35 4.22 2.97 3.07 2.71 3.26 Eglington-Pickering 3.98 2.99 2.96 3.51 4.50 3.83 3.70 3.90 4.27 2.68 2.85 3.53 2.70 3.28 3.20 2.70 Eglington-Pickering 4.14 2.47 3.01 3.48 4.16 4.33 4.33 3.82 4.16 1.87 2.76 3.68 3.40 3.57 3.33 3.74 Eglington-Pickering 4.09 3.87 3.01 3.95 3.48 3.59 3.93 3.76 3.86 1.59 3.57 3.29 2.60 2.89 3.59 2.91 Eglington-Pickering 3.71 2.59 3.54 3.43 4.80 4.43 4.30 4.20 3.73 2.78 2.81 3.39 2.95 3.33 2.54 2.91 Eglington-Pickering 3.29 3.49 2.53 4.49 4.84 3.42 3.95 3.94 4.47 1.18 2.32 3.47 2.13 3.00 2.23 2.85 Eglington-Pickering 4.19 3.54 2.74 3.58 3.64 4.85 4.20 3.38 3.93 1.80 3.51 4.94 2.59 3.06 2.90 2.72 Eglington-Pickering 4.24 2.97 3.32 4.06 4.16 4.46 4.08 4.51 3.29 2.11 3.12 4.56 3.16 3.05 2.52 2.92 Eglington-Pickering 3.52 2.73 3.57 4.24 3.53 3.65 4.86 3.20 3.86 2.03 3.36 4.43 2.98 2.74 3.01 2.26 Eglington-Pickering 3.13 2.75 2.46 4.50 4.17 4.10 4.45 4.55 3.76 2.40 3.51 3.68 2.90 2.09 3.33 3.48 Eglington-Pickering 3.94 3.35 2.72 4.16 4.00 3.27 3.81 4.64 4.21 1.87 3.18 4.05 3.52 2.50 2.99 2.62 Eglington-Pickering 3.84 2.40 3.56 3.48 4.33 4.80 4.62 4.33 4.07 2.57 2.70 3.46 3.09 2.87 3.67 2.39 Eglington-Pickering 4.69 2.67 2.70 4.00 3.97 3.68 4.73 4.47 3.91 1.75 2.93 3.92 2.36 2.57 2.91 3.38 Eglington-Pickering 4.12 2.39 3.02 3.72 4.66 3.76 3.84 4.71 4.18 1.25 2.40 3.44 3.60 2.91 2.89 2.99 Eglington-Pickering 3.87 2.68 2.39 4.58 3.99 4.57 3.05 4.01 4.31 1.86 2.83 4.47 3.08 2.61 2.67 3.30 Eglington-Pickering 4.05 2.84 3.40 4.43 3.77 4.19 4.05 3.50 4.85 1.79 2.50 3.71 3.32 3.51 2.85 3.58 Eglington-Pickering 4.24 3.20 3.46 3.74 3.99 3.67 4.65 4.06 3.94 1.92 3.41 4.24 2.92 2.42 3.22 3.56 Eglington-Pickering 4.49 3.37 3.46 4.01 3.99 4.27 3.54 3.93 3.60 1.62 3.44 3.88 3.33 2.84 3.04 2.62 Eglington-Pickering 3.62 3.14 3.06 3.66 3.97 4.10 3.85 4.20 4.41 2.11 2.73 3.39 2.71 3.28 3.11 3.10 Eglington-Pickering 3.67 3.46 2.36 3.96 4.70 4.34 4.08 3.86 3.87 1.79 2.44 3.42 2.74 2.96 3.34 3.04 Eglington-Pickering 4.62 3.25 2.87 3.98 4.33 3.81 3.81 4.13 3.66 2.23 3.13 4.02 3.00 2.63 2.97 3.24 Eglington-Pickering 3.61 3.00 3.56 3.57 3.82 3.52 4.59 3.96 3.92 2.31 3.48 3.91 2.98 3.35 2.18 3.76 Eglington-Pickering 4.23 3.82 2.71 3.84 3.97 3.96 4.63 3.64 3.88 2.09 3.18 3.88 2.31 2.14 2.93 2.37 Eglington-Pickering 3.85 2.63 2.70 4.36 3.35 3.60 4.20 3.73 3.80 2.85 3.54 3.21 3.05 3.26 2.90 2.94 Eglington-Pickering 3.83 2.57 2.23 4.75 4.47 4.14 4.25 3.86 4.61 2.22 2.41 4.32 3.30 2.89 3.65 3.00 Eglington-Pickering 3.10 2.75 3.21 3.71 3.78 4.89 4.46 4.52 3.81 1.89 3.78 4.90 2.85 2.63 2.58 3.72 Eglington-Pickering 4.05 3.02 3.02 4.41 3.14 4.28 3.84 3.47 3.99 2.14 3.20 4.25 3.18 2.75 2.80 2.24 Eglington-Pickering 3.78 3.69 2.96 4.79 3.49 4.27 4.36 3.88 3.59 1.93 2.90 4.48 2.48 2.90 2.90 2.92 Eglington-Pickering 4.49 3.41 3.26 3.38 3.84 3.73 3.90 3.79 4.13 2.07 3.65 4.28 2.79 2.53 2.88 2.83 Eglington-Pickering 4.07 2.38 3.35 3.76 4.56 3.98 4.13 4.08 3.71 2.66 2.54 4.39 3.79 3.32 2.39 2.46 Eglington-Pickering 4.07 3.36 3.63 4.05 4.18 3.86 4.55 4.08 4.73 2.18 2.81 4.25 2.29 2.76 2.64 3.19 Eglington-Pickering 4.26 3.15 2.18 3.99 4.45 4.02 3.40 3.70 4.54 1.99 3.45 3.82 2.48 3.08 2.28 3.52 Eglington-Pickering 3.98 2.64 3.45 3.87 4.35 4.22 3.88 3.91 3.65 2.89 2.99 3.90 2.81 3.16 2.84 2.48 Eglington-Pickering 4.18 3.27 2.58 3.77 3.94 3.81 4.06 3.46 3.99 1.75 3.31 3.18 2.70 2.43 3.37 3.10 Eglington-Pickering 3.92 2.64 2.23 3.51 3.96 4.08 4.08 4.28 4.22 2.26 2.73 3.92 2.49 2.99 3.32 2.94 Eglington-Pickering 4.49 3.17 2.14 4.41 4.08 4.19 3.46 4.03 3.18 1.97 3.46 3.43 2.83 2.61 2.96 3.37 Eglington-Pickering 3.39 2.56 2.78 4.55 3.38 4.58 4.15 3.49 4.17 2.01 2.85 4.31 3.05 2.79 2.51 2.63 Eglington-Pickering 3.83 2.91 3.91 4.17 4.02 3.11 3.91 3.96 4.29 2.39 3.80 4.41 3.25 2.57 3.12 3.04 Eglington-Pickering 4.22 3.90 2.93 4.04 3.61 3.83 4.01 4.02 3.83 1.98 2.68 3.42 3.23 3.35 3.28 3.10 Eglington-Pickering  Deliverable: COMMENTED Coding files (.py)

The objective of this coding problem is the prediction of a proposed metro extension construction project based on the people's opinion. There are three alternatives to choose they are as follows: Eglington-Pickering Line Airport-Vaughan Line Airport-Hamilton Line The datasets are available in the "Test_2-Part_B (Coding Data Analytics Problem)" folder under assignment.     Task-1: Metro-Ext.xlsx is the training and test dataset; you will consider 80% of the data for training and 20% for test. Build a (1) Logistic regression (2) KNN and (3) Naïve Bayes model to predict on the test dataset and compute the confusion matrix for each model and compare the result.   (PLEASE PLACE CHART IN EXCEL BEFORE CODING AND SAVE AS Metro-Ext.xlsx)   Feasibility and Constructability Slopes and Gradients Urban Realm Geology and Soil Stability Land Acquisition Work Opportunities Economy in Movement of People Revenue Generation Access to the Social, Recreational and Emergency Services Neighbourhood Acceptance (Sound, Vibration, etc) Improvement of Quality of Life Convenience in Movement of People Protection of the Ecosystem Pollution (Water, Air, Soil, Visual) Control CO2 Emission Control Conservation of Vegetation and Plants Alternatives 4.80 3.21 2.81 4.34 4.36 3.60 3.85 4.13 4.37 1.38 2.55 3.78 3.52 3.63 2.95 3.42 Eglington-Pickering 3.94 2.84 2.70 4.88 4.49 4.19 4.91 3.34 4.11 1.96 2.29 4.88 3.49 2.95 2.69 3.42 Eglington-Pickering 3.76 3.39 2.49 4.47 3.52 4.07 3.63 4.00 4.02 2.53 2.87 3.79 2.82 3.18 2.89 3.14 Eglington-Pickering 3.75 2.72 2.85 3.85 4.15 4.56 3.82 4.56 4.18 1.59 2.62 4.35 3.55 2.50 2.35 3.07 Eglington-Pickering 4.75 2.97 2.37 3.93 4.44 4.24 3.90 4.06 3.49 1.90 2.63 3.67 3.44 2.73 2.70 2.98 Eglington-Pickering 3.22 2.28 3.03 4.12 4.08 4.62 3.94 3.12 3.59 1.68 2.97 4.65 2.57 3.33 2.20 2.29 Eglington-Pickering 4.15 3.10 3.32 3.83 4.34 4.01 4.75 3.98 4.26 2.06 2.35 4.22 2.97 3.07 2.71 3.26 Eglington-Pickering 3.98 2.99 2.96 3.51 4.50 3.83 3.70 3.90 4.27 2.68 2.85 3.53 2.70 3.28 3.20 2.70 Eglington-Pickering 4.14 2.47 3.01 3.48 4.16 4.33 4.33 3.82 4.16 1.87 2.76 3.68 3.40 3.57 3.33 3.74 Eglington-Pickering 4.09 3.87 3.01 3.95 3.48 3.59 3.93 3.76 3.86 1.59 3.57 3.29 2.60 2.89 3.59 2.91 Eglington-Pickering 3.71 2.59 3.54 3.43 4.80 4.43 4.30 4.20 3.73 2.78 2.81 3.39 2.95 3.33 2.54 2.91 Eglington-Pickering 3.29 3.49 2.53 4.49 4.84 3.42 3.95 3.94 4.47 1.18 2.32 3.47 2.13 3.00 2.23 2.85 Eglington-Pickering 4.19 3.54 2.74 3.58 3.64 4.85 4.20 3.38 3.93 1.80 3.51 4.94 2.59 3.06 2.90 2.72 Eglington-Pickering 4.24 2.97 3.32 4.06 4.16 4.46 4.08 4.51 3.29 2.11 3.12 4.56 3.16 3.05 2.52 2.92 Eglington-Pickering 3.52 2.73 3.57 4.24 3.53 3.65 4.86 3.20 3.86 2.03 3.36 4.43 2.98 2.74 3.01 2.26 Eglington-Pickering 3.13 2.75 2.46 4.50 4.17 4.10 4.45 4.55 3.76 2.40 3.51 3.68 2.90 2.09 3.33 3.48 Eglington-Pickering 3.94 3.35 2.72 4.16 4.00 3.27 3.81 4.64 4.21 1.87 3.18 4.05 3.52 2.50 2.99 2.62 Eglington-Pickering 3.84 2.40 3.56 3.48 4.33 4.80 4.62 4.33 4.07 2.57 2.70 3.46 3.09 2.87 3.67 2.39 Eglington-Pickering 4.69 2.67 2.70 4.00 3.97 3.68 4.73 4.47 3.91 1.75 2.93 3.92 2.36 2.57 2.91 3.38 Eglington-Pickering 4.12 2.39 3.02 3.72 4.66 3.76 3.84 4.71 4.18 1.25 2.40 3.44 3.60 2.91 2.89 2.99 Eglington-Pickering 3.87 2.68 2.39 4.58 3.99 4.57 3.05 4.01 4.31 1.86 2.83 4.47 3.08 2.61 2.67 3.30 Eglington-Pickering 4.05 2.84 3.40 4.43 3.77 4.19 4.05 3.50 4.85 1.79 2.50 3.71 3.32 3.51 2.85 3.58 Eglington-Pickering 4.24 3.20 3.46 3.74 3.99 3.67 4.65 4.06 3.94 1.92 3.41 4.24 2.92 2.42 3.22 3.56 Eglington-Pickering 4.49 3.37 3.46 4.01 3.99 4.27 3.54 3.93 3.60 1.62 3.44 3.88 3.33 2.84 3.04 2.62 Eglington-Pickering 3.62 3.14 3.06 3.66 3.97 4.10 3.85 4.20 4.41 2.11 2.73 3.39 2.71 3.28 3.11 3.10 Eglington-Pickering 3.67 3.46 2.36 3.96 4.70 4.34 4.08 3.86 3.87 1.79 2.44 3.42 2.74 2.96 3.34 3.04 Eglington-Pickering 4.62 3.25 2.87 3.98 4.33 3.81 3.81 4.13 3.66 2.23 3.13 4.02 3.00 2.63 2.97 3.24 Eglington-Pickering 3.61 3.00 3.56 3.57 3.82 3.52 4.59 3.96 3.92 2.31 3.48 3.91 2.98 3.35 2.18 3.76 Eglington-Pickering 4.23 3.82 2.71 3.84 3.97 3.96 4.63 3.64 3.88 2.09 3.18 3.88 2.31 2.14 2.93 2.37 Eglington-Pickering 3.85 2.63 2.70 4.36 3.35 3.60 4.20 3.73 3.80 2.85 3.54 3.21 3.05 3.26 2.90 2.94 Eglington-Pickering 3.83 2.57 2.23 4.75 4.47 4.14 4.25 3.86 4.61 2.22 2.41 4.32 3.30 2.89 3.65 3.00 Eglington-Pickering 3.10 2.75 3.21 3.71 3.78 4.89 4.46 4.52 3.81 1.89 3.78 4.90 2.85 2.63 2.58 3.72 Eglington-Pickering 4.05 3.02 3.02 4.41 3.14 4.28 3.84 3.47 3.99 2.14 3.20 4.25 3.18 2.75 2.80 2.24 Eglington-Pickering 3.78 3.69 2.96 4.79 3.49 4.27 4.36 3.88 3.59 1.93 2.90 4.48 2.48 2.90 2.90 2.92 Eglington-Pickering 4.49 3.41 3.26 3.38 3.84 3.73 3.90 3.79 4.13 2.07 3.65 4.28 2.79 2.53 2.88 2.83 Eglington-Pickering 4.07 2.38 3.35 3.76 4.56 3.98 4.13 4.08 3.71 2.66 2.54 4.39 3.79 3.32 2.39 2.46 Eglington-Pickering 4.07 3.36 3.63 4.05 4.18 3.86 4.55 4.08 4.73 2.18 2.81 4.25 2.29 2.76 2.64 3.19 Eglington-Pickering 4.26 3.15 2.18 3.99 4.45 4.02 3.40 3.70 4.54 1.99 3.45 3.82 2.48 3.08 2.28 3.52 Eglington-Pickering 3.98 2.64 3.45 3.87 4.35 4.22 3.88 3.91 3.65 2.89 2.99 3.90 2.81 3.16 2.84 2.48 Eglington-Pickering 4.18 3.27 2.58 3.77 3.94 3.81 4.06 3.46 3.99 1.75 3.31 3.18 2.70 2.43 3.37 3.10 Eglington-Pickering 3.92 2.64 2.23 3.51 3.96 4.08 4.08 4.28 4.22 2.26 2.73 3.92 2.49 2.99 3.32 2.94 Eglington-Pickering 4.49 3.17 2.14 4.41 4.08 4.19 3.46 4.03 3.18 1.97 3.46 3.43 2.83 2.61 2.96 3.37 Eglington-Pickering 3.39 2.56 2.78 4.55 3.38 4.58 4.15 3.49 4.17 2.01 2.85 4.31 3.05 2.79 2.51 2.63 Eglington-Pickering 3.83 2.91 3.91 4.17 4.02 3.11 3.91 3.96 4.29 2.39 3.80 4.41 3.25 2.57 3.12 3.04 Eglington-Pickering 4.22 3.90 2.93 4.04 3.61 3.83 4.01 4.02 3.83 1.98 2.68 3.42 3.23 3.35 3.28 3.10 Eglington-Pickering  Deliverable: COMMENTED Coding files (.py)

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The objective of this coding problem is the prediction of a proposed metro extension construction project based on the people's opinion. There are three alternatives to choose they are as follows:

  • Eglington-Pickering Line
  • Airport-Vaughan Line
  • Airport-Hamilton Line

The datasets are available in the "Test_2-Part_B (Coding Data Analytics Problem)" folder under assignment.  

 

Task-1:

Metro-Ext.xlsx is the training and test dataset; you will consider 80% of the data for training and 20% for test. Build a (1) Logistic regression (2) KNN and (3) Naïve Bayes model to predict on the test dataset and compute the confusion matrix for each model and compare the result.

 

(PLEASE PLACE CHART IN EXCEL BEFORE CODING AND SAVE AS Metro-Ext.xlsx)

 

Feasibility and Constructability Slopes and Gradients Urban Realm Geology and Soil Stability Land Acquisition Work Opportunities Economy in Movement of People Revenue Generation Access to the Social, Recreational and Emergency Services Neighbourhood Acceptance (Sound, Vibration, etc) Improvement of Quality of Life Convenience in Movement of People Protection of the Ecosystem Pollution (Water, Air, Soil, Visual) Control CO2 Emission Control Conservation of Vegetation and Plants Alternatives
4.80 3.21 2.81 4.34 4.36 3.60 3.85 4.13 4.37 1.38 2.55 3.78 3.52 3.63 2.95 3.42 Eglington-Pickering
3.94 2.84 2.70 4.88 4.49 4.19 4.91 3.34 4.11 1.96 2.29 4.88 3.49 2.95 2.69 3.42 Eglington-Pickering
3.76 3.39 2.49 4.47 3.52 4.07 3.63 4.00 4.02 2.53 2.87 3.79 2.82 3.18 2.89 3.14 Eglington-Pickering
3.75 2.72 2.85 3.85 4.15 4.56 3.82 4.56 4.18 1.59 2.62 4.35 3.55 2.50 2.35 3.07 Eglington-Pickering
4.75 2.97 2.37 3.93 4.44 4.24 3.90 4.06 3.49 1.90 2.63 3.67 3.44 2.73 2.70 2.98 Eglington-Pickering
3.22 2.28 3.03 4.12 4.08 4.62 3.94 3.12 3.59 1.68 2.97 4.65 2.57 3.33 2.20 2.29 Eglington-Pickering
4.15 3.10 3.32 3.83 4.34 4.01 4.75 3.98 4.26 2.06 2.35 4.22 2.97 3.07 2.71 3.26 Eglington-Pickering
3.98 2.99 2.96 3.51 4.50 3.83 3.70 3.90 4.27 2.68 2.85 3.53 2.70 3.28 3.20 2.70 Eglington-Pickering
4.14 2.47 3.01 3.48 4.16 4.33 4.33 3.82 4.16 1.87 2.76 3.68 3.40 3.57 3.33 3.74 Eglington-Pickering
4.09 3.87 3.01 3.95 3.48 3.59 3.93 3.76 3.86 1.59 3.57 3.29 2.60 2.89 3.59 2.91 Eglington-Pickering
3.71 2.59 3.54 3.43 4.80 4.43 4.30 4.20 3.73 2.78 2.81 3.39 2.95 3.33 2.54 2.91 Eglington-Pickering
3.29 3.49 2.53 4.49 4.84 3.42 3.95 3.94 4.47 1.18 2.32 3.47 2.13 3.00 2.23 2.85 Eglington-Pickering
4.19 3.54 2.74 3.58 3.64 4.85 4.20 3.38 3.93 1.80 3.51 4.94 2.59 3.06 2.90 2.72 Eglington-Pickering
4.24 2.97 3.32 4.06 4.16 4.46 4.08 4.51 3.29 2.11 3.12 4.56 3.16 3.05 2.52 2.92 Eglington-Pickering
3.52 2.73 3.57 4.24 3.53 3.65 4.86 3.20 3.86 2.03 3.36 4.43 2.98 2.74 3.01 2.26 Eglington-Pickering
3.13 2.75 2.46 4.50 4.17 4.10 4.45 4.55 3.76 2.40 3.51 3.68 2.90 2.09 3.33 3.48 Eglington-Pickering
3.94 3.35 2.72 4.16 4.00 3.27 3.81 4.64 4.21 1.87 3.18 4.05 3.52 2.50 2.99 2.62 Eglington-Pickering
3.84 2.40 3.56 3.48 4.33 4.80 4.62 4.33 4.07 2.57 2.70 3.46 3.09 2.87 3.67 2.39 Eglington-Pickering
4.69 2.67 2.70 4.00 3.97 3.68 4.73 4.47 3.91 1.75 2.93 3.92 2.36 2.57 2.91 3.38 Eglington-Pickering
4.12 2.39 3.02 3.72 4.66 3.76 3.84 4.71 4.18 1.25 2.40 3.44 3.60 2.91 2.89 2.99 Eglington-Pickering
3.87 2.68 2.39 4.58 3.99 4.57 3.05 4.01 4.31 1.86 2.83 4.47 3.08 2.61 2.67 3.30 Eglington-Pickering
4.05 2.84 3.40 4.43 3.77 4.19 4.05 3.50 4.85 1.79 2.50 3.71 3.32 3.51 2.85 3.58 Eglington-Pickering
4.24 3.20 3.46 3.74 3.99 3.67 4.65 4.06 3.94 1.92 3.41 4.24 2.92 2.42 3.22 3.56 Eglington-Pickering
4.49 3.37 3.46 4.01 3.99 4.27 3.54 3.93 3.60 1.62 3.44 3.88 3.33 2.84 3.04 2.62 Eglington-Pickering
3.62 3.14 3.06 3.66 3.97 4.10 3.85 4.20 4.41 2.11 2.73 3.39 2.71 3.28 3.11 3.10 Eglington-Pickering
3.67 3.46 2.36 3.96 4.70 4.34 4.08 3.86 3.87 1.79 2.44 3.42 2.74 2.96 3.34 3.04 Eglington-Pickering
4.62 3.25 2.87 3.98 4.33 3.81 3.81 4.13 3.66 2.23 3.13 4.02 3.00 2.63 2.97 3.24 Eglington-Pickering
3.61 3.00 3.56 3.57 3.82 3.52 4.59 3.96 3.92 2.31 3.48 3.91 2.98 3.35 2.18 3.76 Eglington-Pickering
4.23 3.82 2.71 3.84 3.97 3.96 4.63 3.64 3.88 2.09 3.18 3.88 2.31 2.14 2.93 2.37 Eglington-Pickering
3.85 2.63 2.70 4.36 3.35 3.60 4.20 3.73 3.80 2.85 3.54 3.21 3.05 3.26 2.90 2.94 Eglington-Pickering
3.83 2.57 2.23 4.75 4.47 4.14 4.25 3.86 4.61 2.22 2.41 4.32 3.30 2.89 3.65 3.00 Eglington-Pickering
3.10 2.75 3.21 3.71 3.78 4.89 4.46 4.52 3.81 1.89 3.78 4.90 2.85 2.63 2.58 3.72 Eglington-Pickering
4.05 3.02 3.02 4.41 3.14 4.28 3.84 3.47 3.99 2.14 3.20 4.25 3.18 2.75 2.80 2.24 Eglington-Pickering
3.78 3.69 2.96 4.79 3.49 4.27 4.36 3.88 3.59 1.93 2.90 4.48 2.48 2.90 2.90 2.92 Eglington-Pickering
4.49 3.41 3.26 3.38 3.84 3.73 3.90 3.79 4.13 2.07 3.65 4.28 2.79 2.53 2.88 2.83 Eglington-Pickering
4.07 2.38 3.35 3.76 4.56 3.98 4.13 4.08 3.71 2.66 2.54 4.39 3.79 3.32 2.39 2.46 Eglington-Pickering
4.07 3.36 3.63 4.05 4.18 3.86 4.55 4.08 4.73 2.18 2.81 4.25 2.29 2.76 2.64 3.19 Eglington-Pickering
4.26 3.15 2.18 3.99 4.45 4.02 3.40 3.70 4.54 1.99 3.45 3.82 2.48 3.08 2.28 3.52 Eglington-Pickering
3.98 2.64 3.45 3.87 4.35 4.22 3.88 3.91 3.65 2.89 2.99 3.90 2.81 3.16 2.84 2.48 Eglington-Pickering
4.18 3.27 2.58 3.77 3.94 3.81 4.06 3.46 3.99 1.75 3.31 3.18 2.70 2.43 3.37 3.10 Eglington-Pickering
3.92 2.64 2.23 3.51 3.96 4.08 4.08 4.28 4.22 2.26 2.73 3.92 2.49 2.99 3.32 2.94 Eglington-Pickering
4.49 3.17 2.14 4.41 4.08 4.19 3.46 4.03 3.18 1.97 3.46 3.43 2.83 2.61 2.96 3.37 Eglington-Pickering
3.39 2.56 2.78 4.55 3.38 4.58 4.15 3.49 4.17 2.01 2.85 4.31 3.05 2.79 2.51 2.63 Eglington-Pickering
3.83 2.91 3.91 4.17 4.02 3.11 3.91 3.96 4.29 2.39 3.80 4.41 3.25 2.57 3.12 3.04 Eglington-Pickering
4.22 3.90 2.93 4.04 3.61 3.83 4.01 4.02 3.83 1.98 2.68 3.42 3.23 3.35 3.28 3.10 Eglington-Pickering 

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    1. COMMENTED Coding files (.py) 
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