Mexican Peso MXN 2016 Conversion Rates

  • Opening Value is 17.258660 MXN per Dollar
  • Closing Value is 20.715039 MXN per Dollar
  • Change in Value during 2016 is 3.4564 which is 20.03%
  • Best Performance is on 2016-05-01 with 17.182570 MXN per Dollar
  • Lowest Performance is on 2016-11-13 with 20.841902 MXN per Dollar
  • Average Value is 18.6843 MXN per Dollar
  • Swing Between the higest and the lowest is 3.6593 per Dollar, that is 21.20% compared to the opening value.

USD to MXN Conversion Rates – 12 months

Date 1 USD =
2016-12-31 20.7150 MXN
2016-11-30 20.5637 MXN
2016-10-31 18.8670 MXN
2016-09-30 19.3404 MXN
2016-08-31 18.7958 MXN
2016-07-31 18.7579 MXN
2016-06-30 18.3842 MXN
2016-05-31 18.4724 MXN
2016-04-30 17.1828 MXN
2016-03-31 17.2731 MXN
2016-02-29 18.1682 MXN
2016-01-31 18.1219 MXN
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-31”),20.715,20.72],[new Date(“2016-11-30”),20.564,20.56],[new Date(“2016-10-31”),18.867,18.87],[new Date(“2016-09-30”),19.340,19.34],[new Date(“2016-08-31”),18.796,18.80],[new Date(“2016-07-31”),18.758,18.76],[new Date(“2016-06-30”),18.384,18.38],[new Date(“2016-05-31”),18.472,18.47],[new Date(“2016-04-30”),17.183,17.18],[new Date(“2016-03-31”),17.273,17.27],[new Date(“2016-02-29”),18.168,18.17],[new Date(“2016-01-31”),18.122,18.12],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2016

01      20.7655
02      20.5870
↗0.178, 0.86%
03      20.6050
↘0.018, 0.09%
04      20.7052
↘0.100, 0.49%
05      20.5632
↗0.142, 0.69%
06      20.3922
↗0.171, 0.83%
07      20.3311
↗0.061, 0.30%
08      20.3021
↗0.029, 0.14%
09      20.3830
↘0.081, 0.40%
10      20.3830
→0.000, 0.00%
11      20.3178
↗0.065, 0.32%
12      20.2067
↗0.111, 0.55%
13      20.2686
↘0.062, 0.31%
14      20.4775
↘0.209, 1.03%
15      20.3332
↗0.144, 0.70%
16      20.3937
↘0.061, 0.30%
17      20.3937
→0.000, 0.00%
18      20.4384
↘0.045, 0.22%
19      20.3696
↗0.069, 0.34%
20      20.4482
↘0.079, 0.39%
21      20.5590
↘0.111, 0.54%
22      20.7480
↘0.189, 0.92%
23      20.5615
↗0.186, 0.90%
24      20.5904
↘0.029, 0.14%
25      20.6024
↘0.012, 0.06%
26      20.6250
↘0.023, 0.11%
27      20.7663
↘0.141, 0.69%
28      20.7044
↗0.062, 0.30%
29      20.7097
↘0.005, 0.03%
30      20.7150
↘0.005, 0.03%
31      20.7150
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-12-01”),20.765,20.77],[new Date(“2016-12-02”),20.587,20.59],[new Date(“2016-12-03”),20.605,20.61],[new Date(“2016-12-04”),20.705,20.71],[new Date(“2016-12-05”),20.563,20.56],[new Date(“2016-12-06”),20.392,20.39],[new Date(“2016-12-07”),20.331,20.33],[new Date(“2016-12-08”),20.302,20.30],[new Date(“2016-12-09”),20.383,20.38],[new Date(“2016-12-10”),20.383,20.38],[new Date(“2016-12-11”),20.318,20.32],[new Date(“2016-12-12”),20.207,20.21],[new Date(“2016-12-13”),20.269,20.27],[new Date(“2016-12-14”),20.478,20.48],[new Date(“2016-12-15”),20.333,20.33],[new Date(“2016-12-16”),20.394,20.39],[new Date(“2016-12-17”),20.394,20.39],[new Date(“2016-12-18”),20.438,20.44],[new Date(“2016-12-19”),20.370,20.37],[new Date(“2016-12-20”),20.448,20.45],[new Date(“2016-12-21”),20.559,20.56],[new Date(“2016-12-22”),20.748,20.75],[new Date(“2016-12-23”),20.562,20.56],[new Date(“2016-12-24”),20.590,20.59],[new Date(“2016-12-25”),20.602,20.60],[new Date(“2016-12-26”),20.625,20.62],[new Date(“2016-12-27”),20.766,20.77],[new Date(“2016-12-28”),20.704,20.70],[new Date(“2016-12-29”),20.710,20.71],[new Date(“2016-12-30”),20.715,20.72],[new Date(“2016-12-31″),20.715,20.72],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2016

01      19.1806
02      19.3420
↘0.161, 0.84%
03      19.1563
↗0.186, 0.96%
04      18.9892
↗0.167, 0.87%
05      19.0050
↘0.016, 0.08%
06      18.5642
↗0.441, 2.32%
07      18.5506
↗0.014, 0.07%
08      18.3064
↗0.244, 1.32%
09      19.8916
↘1.585, 8.66%
10      20.5021
↘0.611, 3.07%
11      20.7970
↘0.295, 1.44%
12      20.7970
→0.000, 0.00%
13      20.8419
↘0.045, 0.22%
14      20.7324
↗0.110, 0.53%
15      20.3089
↗0.424, 2.04%
16      20.2069
↗0.102, 0.50%
17      20.4118
↘0.205, 1.01%
18      20.6275
↘0.216, 1.06%
19      20.6275
→0.000, 0.00%
20      20.6356
↘0.008, 0.04%
21      20.4354
↗0.200, 0.97%
22      20.6022
↘0.167, 0.82%
23      20.6502
↘0.048, 0.23%
24      20.7048
↘0.055, 0.26%
25      20.6735
↗0.031, 0.15%
26      20.6750
↘0.001, 0.01%
27      20.6461
↗0.029, 0.14%
28      20.6098
↗0.036, 0.18%
29      20.6227
↘0.013, 0.06%
30      20.5637
↗0.059, 0.29%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-11-01”),19.181,19.18],[new Date(“2016-11-02”),19.342,19.34],[new Date(“2016-11-03”),19.156,19.16],[new Date(“2016-11-04”),18.989,18.99],[new Date(“2016-11-05”),19.005,19.00],[new Date(“2016-11-06”),18.564,18.56],[new Date(“2016-11-07”),18.551,18.55],[new Date(“2016-11-08”),18.306,18.31],[new Date(“2016-11-09”),19.892,19.89],[new Date(“2016-11-10”),20.502,20.50],[new Date(“2016-11-11”),20.797,20.80],[new Date(“2016-11-12”),20.797,20.80],[new Date(“2016-11-13”),20.842,20.84],[new Date(“2016-11-14”),20.732,20.73],[new Date(“2016-11-15”),20.309,20.31],[new Date(“2016-11-16”),20.207,20.21],[new Date(“2016-11-17”),20.412,20.41],[new Date(“2016-11-18”),20.628,20.63],[new Date(“2016-11-19”),20.628,20.63],[new Date(“2016-11-20”),20.636,20.64],[new Date(“2016-11-21”),20.435,20.44],[new Date(“2016-11-22”),20.602,20.60],[new Date(“2016-11-23”),20.650,20.65],[new Date(“2016-11-24”),20.705,20.70],[new Date(“2016-11-25”),20.674,20.67],[new Date(“2016-11-26”),20.675,20.67],[new Date(“2016-11-27”),20.646,20.65],[new Date(“2016-11-28”),20.610,20.61],[new Date(“2016-11-29”),20.623,20.62],[new Date(“2016-11-30″),20.564,20.56],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2016

01      19.3404
02      19.4113
↘0.071, 0.37%
03      19.2974
↗0.114, 0.59%
04      19.3231
↘0.026, 0.13%
05      19.2313
↗0.092, 0.48%
06      19.2280
↗0.003, 0.02%
07      19.2820
↘0.054, 0.28%
08      19.2582
↗0.024, 0.12%
09      18.9898
↗0.268, 1.39%
10      18.9083
↗0.081, 0.43%
11      18.8754
↗0.033, 0.17%
12      18.9460
↘0.071, 0.37%
13      18.9530
↘0.007, 0.04%
14      19.0003
↘0.047, 0.25%
15      19.0003
→0.000, 0.00%
16      19.0096
↘0.009, 0.05%
17      18.8550
↗0.155, 0.81%
18      18.6015
↗0.254, 1.34%
19      18.5187
↗0.083, 0.45%
20      18.6027
↘0.084, 0.45%
21      18.6200
↘0.017, 0.09%
22      18.5704
↗0.050, 0.27%
23      18.6153
↘0.045, 0.24%
24      18.5425
↗0.073, 0.39%
25      18.5275
↗0.015, 0.08%
26      18.6945
↘0.167, 0.90%
27      18.8216
↘0.127, 0.68%
28      18.9616
↘0.140, 0.74%
29      18.9500
↗0.012, 0.06%
30      19.0055
↘0.055, 0.29%
31      18.8670
↗0.139, 0.73%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-10-01”),19.340,19.34],[new Date(“2016-10-02”),19.411,19.41],[new Date(“2016-10-03”),19.297,19.30],[new Date(“2016-10-04”),19.323,19.32],[new Date(“2016-10-05”),19.231,19.23],[new Date(“2016-10-06”),19.228,19.23],[new Date(“2016-10-07”),19.282,19.28],[new Date(“2016-10-08”),19.258,19.26],[new Date(“2016-10-09”),18.990,18.99],[new Date(“2016-10-10”),18.908,18.91],[new Date(“2016-10-11”),18.875,18.88],[new Date(“2016-10-12”),18.946,18.95],[new Date(“2016-10-13”),18.953,18.95],[new Date(“2016-10-14”),19.000,19.00],[new Date(“2016-10-15”),19.000,19.00],[new Date(“2016-10-16”),19.010,19.01],[new Date(“2016-10-17”),18.855,18.86],[new Date(“2016-10-18”),18.602,18.60],[new Date(“2016-10-19”),18.519,18.52],[new Date(“2016-10-20”),18.603,18.60],[new Date(“2016-10-21”),18.620,18.62],[new Date(“2016-10-22”),18.570,18.57],[new Date(“2016-10-23”),18.615,18.62],[new Date(“2016-10-24”),18.542,18.54],[new Date(“2016-10-25”),18.527,18.53],[new Date(“2016-10-26”),18.694,18.69],[new Date(“2016-10-27”),18.822,18.82],[new Date(“2016-10-28”),18.962,18.96],[new Date(“2016-10-29”),18.950,18.95],[new Date(“2016-10-30”),19.006,19.01],[new Date(“2016-10-31″),18.867,18.87],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2016

01      18.7416
02      18.5804
↗0.161, 0.86%
03      18.5500
↗0.030, 0.16%
04      18.5596
↘0.010, 0.05%
05      18.5986
↘0.039, 0.21%
06      18.2729
↗0.326, 1.75%
07      18.3858
↘0.113, 0.62%
08      18.6742
↘0.288, 1.57%
09      18.8380
↘0.164, 0.88%
10      18.8800
↘0.042, 0.22%
11      18.8724
↗0.008, 0.04%
12      18.8198
↗0.053, 0.28%
13      19.1084
↘0.289, 1.53%
14      19.2827
↘0.174, 0.91%
15      19.3472
↘0.064, 0.33%
16      19.5338
↘0.187, 0.96%
17      19.5804
↘0.047, 0.24%
18      19.5865
↘0.006, 0.03%
19      19.6622
↘0.076, 0.39%
20      19.8357
↘0.173, 0.88%
21      19.7205
↗0.115, 0.58%
22      19.6273
↗0.093, 0.47%
23      19.7304
↘0.103, 0.53%
24      19.7750
↘0.045, 0.23%
25      19.7919
↘0.017, 0.09%
26      19.8809
↘0.089, 0.45%
27      19.3827
↗0.498, 2.51%
28      19.3511
↗0.032, 0.16%
29      19.5449
↘0.194, 1.00%
30      19.3404
↗0.205, 1.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-09-01”),18.742,18.74],[new Date(“2016-09-02”),18.580,18.58],[new Date(“2016-09-03”),18.550,18.55],[new Date(“2016-09-04”),18.560,18.56],[new Date(“2016-09-05”),18.599,18.60],[new Date(“2016-09-06”),18.273,18.27],[new Date(“2016-09-07”),18.386,18.39],[new Date(“2016-09-08”),18.674,18.67],[new Date(“2016-09-09”),18.838,18.84],[new Date(“2016-09-10”),18.880,18.88],[new Date(“2016-09-11”),18.872,18.87],[new Date(“2016-09-12”),18.820,18.82],[new Date(“2016-09-13”),19.108,19.11],[new Date(“2016-09-14”),19.283,19.28],[new Date(“2016-09-15”),19.347,19.35],[new Date(“2016-09-16”),19.534,19.53],[new Date(“2016-09-17”),19.580,19.58],[new Date(“2016-09-18”),19.587,19.59],[new Date(“2016-09-19”),19.662,19.66],[new Date(“2016-09-20”),19.836,19.84],[new Date(“2016-09-21”),19.721,19.72],[new Date(“2016-09-22”),19.627,19.63],[new Date(“2016-09-23”),19.730,19.73],[new Date(“2016-09-24”),19.775,19.78],[new Date(“2016-09-25”),19.792,19.79],[new Date(“2016-09-26”),19.881,19.88],[new Date(“2016-09-27”),19.383,19.38],[new Date(“2016-09-28”),19.351,19.35],[new Date(“2016-09-29”),19.545,19.54],[new Date(“2016-09-30″),19.340,19.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2016

01      18.8583
02      18.9333
↘0.075, 0.40%
03      18.8855
↗0.048, 0.25%
04      18.8960
↘0.011, 0.06%
05      18.7893
↗0.107, 0.56%
06      18.7255
↗0.064, 0.34%
07      18.7551
↘0.030, 0.16%
08      18.5494
↗0.206, 1.10%
09      18.4365
↗0.113, 0.61%
10      18.4102
↗0.026, 0.14%
11      18.2306
↗0.180, 0.98%
12      18.2860
↘0.055, 0.30%
13      18.2304
↗0.056, 0.30%
14      18.2312
↘0.001, 0.00%
15      18.0747
↗0.157, 0.86%
16      18.0580
↗0.017, 0.09%
17      18.1180
↘0.060, 0.33%
18      18.1752
↘0.057, 0.32%
19      18.2150
↘0.040, 0.22%
20      18.2127
↗0.002, 0.01%
21      18.2598
↘0.047, 0.26%
22      18.2993
↘0.040, 0.22%
23      18.5259
↘0.227, 1.24%
24      18.4752
↗0.051, 0.27%
25      18.3618
↗0.113, 0.61%
26      18.5980
↘0.236, 1.29%
27      18.5660
↗0.032, 0.17%
28      18.5903
↘0.024, 0.13%
29      18.6337
↘0.043, 0.23%
30      18.8054
↘0.172, 0.92%
31      18.7958
↗0.010, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-08-01”),18.858,18.86],[new Date(“2016-08-02”),18.933,18.93],[new Date(“2016-08-03”),18.886,18.89],[new Date(“2016-08-04”),18.896,18.90],[new Date(“2016-08-05”),18.789,18.79],[new Date(“2016-08-06”),18.726,18.73],[new Date(“2016-08-07”),18.755,18.76],[new Date(“2016-08-08”),18.549,18.55],[new Date(“2016-08-09”),18.437,18.44],[new Date(“2016-08-10”),18.410,18.41],[new Date(“2016-08-11”),18.231,18.23],[new Date(“2016-08-12”),18.286,18.29],[new Date(“2016-08-13”),18.230,18.23],[new Date(“2016-08-14”),18.231,18.23],[new Date(“2016-08-15”),18.075,18.07],[new Date(“2016-08-16”),18.058,18.06],[new Date(“2016-08-17”),18.118,18.12],[new Date(“2016-08-18”),18.175,18.18],[new Date(“2016-08-19”),18.215,18.22],[new Date(“2016-08-20”),18.213,18.21],[new Date(“2016-08-21”),18.260,18.26],[new Date(“2016-08-22”),18.299,18.30],[new Date(“2016-08-23”),18.526,18.53],[new Date(“2016-08-24”),18.475,18.48],[new Date(“2016-08-25”),18.362,18.36],[new Date(“2016-08-26”),18.598,18.60],[new Date(“2016-08-27”),18.566,18.57],[new Date(“2016-08-28”),18.590,18.59],[new Date(“2016-08-29”),18.634,18.63],[new Date(“2016-08-30”),18.805,18.81],[new Date(“2016-08-31″),18.796,18.80],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2016

01      18.3861
02      18.3489
↗0.037, 0.20%
03      18.3626
↘0.014, 0.07%
04      18.4116
↘0.049, 0.27%
05      18.7405
↘0.329, 1.79%
06      18.7149
↗0.026, 0.14%
07      18.8393
↘0.124, 0.66%
08      18.5526
↗0.287, 1.52%
09      18.5474
↗0.005, 0.03%
10      18.4995
↗0.048, 0.26%
11      18.4760
↗0.023, 0.13%
12      18.3659
↗0.110, 0.60%
13      18.3755
↘0.010, 0.05%
14      18.3668
↗0.009, 0.05%
15      18.5950
↘0.228, 1.24%
16      18.5950
→0.000, 0.00%
17      18.5398
↗0.055, 0.30%
18      18.3785
↗0.161, 0.87%
19      18.4878
↘0.109, 0.59%
20      18.6757
↘0.188, 1.02%
21      18.5641
↗0.112, 0.60%
22      18.6037
↘0.040, 0.21%
23      18.5425
↗0.061, 0.33%
24      18.5424
↗0.000, 0.00%
25      18.7725
↘0.230, 1.24%
26      18.7508
↗0.022, 0.12%
27      18.8205
↘0.070, 0.37%
28      18.8903
↘0.070, 0.37%
29      18.7580
↗0.132, 0.70%
30      18.7450
↗0.013, 0.07%
31      18.7579
↘0.013, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-07-01”),18.386,18.39],[new Date(“2016-07-02”),18.349,18.35],[new Date(“2016-07-03”),18.363,18.36],[new Date(“2016-07-04”),18.412,18.41],[new Date(“2016-07-05”),18.740,18.74],[new Date(“2016-07-06”),18.715,18.71],[new Date(“2016-07-07”),18.839,18.84],[new Date(“2016-07-08”),18.553,18.55],[new Date(“2016-07-09”),18.547,18.55],[new Date(“2016-07-10”),18.499,18.50],[new Date(“2016-07-11”),18.476,18.48],[new Date(“2016-07-12”),18.366,18.37],[new Date(“2016-07-13”),18.375,18.38],[new Date(“2016-07-14”),18.367,18.37],[new Date(“2016-07-15”),18.595,18.59],[new Date(“2016-07-16”),18.595,18.59],[new Date(“2016-07-17”),18.540,18.54],[new Date(“2016-07-18”),18.379,18.38],[new Date(“2016-07-19”),18.488,18.49],[new Date(“2016-07-20”),18.676,18.68],[new Date(“2016-07-21”),18.564,18.56],[new Date(“2016-07-22”),18.604,18.60],[new Date(“2016-07-23”),18.543,18.54],[new Date(“2016-07-24”),18.542,18.54],[new Date(“2016-07-25”),18.772,18.77],[new Date(“2016-07-26”),18.751,18.75],[new Date(“2016-07-27”),18.820,18.82],[new Date(“2016-07-28”),18.890,18.89],[new Date(“2016-07-29”),18.758,18.76],[new Date(“2016-07-30”),18.745,18.75],[new Date(“2016-07-31″),18.758,18.76],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2016

01      18.5006
02      18.6395
↘0.139, 0.75%
03      18.5870
↗0.053, 0.28%
04      18.6064
↘0.019, 0.10%
05      18.6009
↗0.006, 0.03%
06      18.6571
↘0.056, 0.30%
07      18.4268
↗0.230, 1.23%
08      18.2221
↗0.205, 1.11%
09      18.2541
↘0.032, 0.18%
10      18.5446
↘0.291, 1.59%
11      18.5854
↘0.041, 0.22%
12      18.6307
↘0.045, 0.24%
13      18.7967
↘0.166, 0.89%
14      18.8857
↘0.089, 0.47%
15      18.9133
↘0.028, 0.15%
16      18.9237
↘0.010, 0.05%
17      18.8585
↗0.065, 0.34%
18      18.8459
↗0.013, 0.07%
19      18.7956
↗0.050, 0.27%
20      18.6963
↗0.099, 0.53%
21      18.6325
↗0.064, 0.34%
22      18.4677
↗0.165, 0.88%
23      18.2302
↗0.238, 1.29%
24      18.8100
↘0.580, 3.18%
25      18.9141
↘0.104, 0.55%
26      18.9311
↘0.017, 0.09%
27      19.0981
↘0.167, 0.88%
28      18.8597
↗0.238, 1.25%
29      18.6122
↗0.247, 1.31%
30      18.3842
↗0.228, 1.22%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-06-01”),18.501,18.50],[new Date(“2016-06-02”),18.640,18.64],[new Date(“2016-06-03”),18.587,18.59],[new Date(“2016-06-04”),18.606,18.61],[new Date(“2016-06-05”),18.601,18.60],[new Date(“2016-06-06”),18.657,18.66],[new Date(“2016-06-07”),18.427,18.43],[new Date(“2016-06-08”),18.222,18.22],[new Date(“2016-06-09”),18.254,18.25],[new Date(“2016-06-10”),18.545,18.54],[new Date(“2016-06-11”),18.585,18.59],[new Date(“2016-06-12”),18.631,18.63],[new Date(“2016-06-13”),18.797,18.80],[new Date(“2016-06-14”),18.886,18.89],[new Date(“2016-06-15”),18.913,18.91],[new Date(“2016-06-16”),18.924,18.92],[new Date(“2016-06-17”),18.859,18.86],[new Date(“2016-06-18”),18.846,18.85],[new Date(“2016-06-19”),18.796,18.80],[new Date(“2016-06-20”),18.696,18.70],[new Date(“2016-06-21”),18.633,18.63],[new Date(“2016-06-22”),18.468,18.47],[new Date(“2016-06-23”),18.230,18.23],[new Date(“2016-06-24”),18.810,18.81],[new Date(“2016-06-25”),18.914,18.91],[new Date(“2016-06-26”),18.931,18.93],[new Date(“2016-06-27”),19.098,19.10],[new Date(“2016-06-28”),18.860,18.86],[new Date(“2016-06-29”),18.612,18.61],[new Date(“2016-06-30″),18.384,18.38],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2016

01      17.1826
02      17.1980
↘0.015, 0.09%
03      17.5293
↘0.331, 1.93%
04      17.6916
↘0.162, 0.93%
05      17.8524
↘0.161, 0.91%
06      17.8466
↗0.006, 0.03%
07      17.8783
↘0.032, 0.18%
08      17.8689
↗0.009, 0.05%
09      18.1373
↘0.268, 1.50%
10      17.9877
↗0.150, 0.82%
11      18.0086
↘0.021, 0.12%
12      17.9729
↗0.036, 0.20%
13      18.1280
↘0.155, 0.86%
14      18.1453
↘0.017, 0.10%
15      18.1767
↘0.031, 0.17%
16      18.2496
↘0.073, 0.40%
17      18.2408
↗0.009, 0.05%
18      18.3286
↘0.088, 0.48%
19      18.3206
↗0.008, 0.04%
20      18.3743
↘0.054, 0.29%
21      18.3583
↗0.016, 0.09%
22      18.3554
↗0.003, 0.02%
23      18.4812
↘0.126, 0.69%
24      18.4560
↗0.025, 0.14%
25      18.4958
↘0.040, 0.22%
26      18.4470
↗0.049, 0.26%
27      18.4615
↘0.014, 0.08%
28      18.4637
↘0.002, 0.01%
29      18.4603
↗0.003, 0.02%
30      18.4842
↘0.024, 0.13%
31      18.4724
↗0.012, 0.06%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-05-01”),17.183,17.18],[new Date(“2016-05-02”),17.198,17.20],[new Date(“2016-05-03”),17.529,17.53],[new Date(“2016-05-04”),17.692,17.69],[new Date(“2016-05-05”),17.852,17.85],[new Date(“2016-05-06”),17.847,17.85],[new Date(“2016-05-07”),17.878,17.88],[new Date(“2016-05-08”),17.869,17.87],[new Date(“2016-05-09”),18.137,18.14],[new Date(“2016-05-10”),17.988,17.99],[new Date(“2016-05-11”),18.009,18.01],[new Date(“2016-05-12”),17.973,17.97],[new Date(“2016-05-13”),18.128,18.13],[new Date(“2016-05-14”),18.145,18.15],[new Date(“2016-05-15”),18.177,18.18],[new Date(“2016-05-16”),18.250,18.25],[new Date(“2016-05-17”),18.241,18.24],[new Date(“2016-05-18”),18.329,18.33],[new Date(“2016-05-19”),18.321,18.32],[new Date(“2016-05-20”),18.374,18.37],[new Date(“2016-05-21”),18.358,18.36],[new Date(“2016-05-22”),18.355,18.36],[new Date(“2016-05-23”),18.481,18.48],[new Date(“2016-05-24”),18.456,18.46],[new Date(“2016-05-25”),18.496,18.50],[new Date(“2016-05-26”),18.447,18.45],[new Date(“2016-05-27”),18.461,18.46],[new Date(“2016-05-28”),18.464,18.46],[new Date(“2016-05-29”),18.460,18.46],[new Date(“2016-05-30”),18.484,18.48],[new Date(“2016-05-31″),18.472,18.47],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2016

01      17.3215
02      17.3395
↘0.018, 0.10%
03      17.3412
↘0.002, 0.01%
04      17.4522
↘0.111, 0.64%
05      17.6303
↘0.178, 1.02%
06      17.6315
↘0.001, 0.01%
07      17.8466
↘0.215, 1.22%
08      17.7706
↗0.076, 0.43%
09      17.7855
↘0.015, 0.08%
10      17.7767
↗0.009, 0.05%
11      17.6782
↗0.099, 0.55%
12      17.5318
↗0.146, 0.83%
13      17.4666
↗0.065, 0.37%
14      17.4478
↗0.019, 0.11%
15      17.5346
↘0.087, 0.50%
16      17.5395
↘0.005, 0.03%
17      17.6134
↘0.074, 0.42%
18      17.4579
↗0.156, 0.88%
19      17.3761
↗0.082, 0.47%
20      17.2868
↗0.089, 0.51%
21      17.4332
↘0.146, 0.85%
22      17.4460
↘0.013, 0.07%
23      17.4692
↘0.023, 0.13%
24      17.4670
↗0.002, 0.01%
25      17.5550
↘0.088, 0.50%
26      17.4078
↗0.147, 0.84%
27      17.3455
↗0.062, 0.36%
28      17.2841
↗0.061, 0.35%
29      17.2033
↗0.081, 0.47%
30      17.1828
↗0.021, 0.12%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-04-01”),17.321,17.32],[new Date(“2016-04-02”),17.339,17.34],[new Date(“2016-04-03”),17.341,17.34],[new Date(“2016-04-04”),17.452,17.45],[new Date(“2016-04-05”),17.630,17.63],[new Date(“2016-04-06”),17.631,17.63],[new Date(“2016-04-07”),17.847,17.85],[new Date(“2016-04-08”),17.771,17.77],[new Date(“2016-04-09”),17.785,17.79],[new Date(“2016-04-10”),17.777,17.78],[new Date(“2016-04-11”),17.678,17.68],[new Date(“2016-04-12”),17.532,17.53],[new Date(“2016-04-13”),17.467,17.47],[new Date(“2016-04-14”),17.448,17.45],[new Date(“2016-04-15”),17.535,17.53],[new Date(“2016-04-16”),17.540,17.54],[new Date(“2016-04-17”),17.613,17.61],[new Date(“2016-04-18”),17.458,17.46],[new Date(“2016-04-19”),17.376,17.38],[new Date(“2016-04-20”),17.287,17.29],[new Date(“2016-04-21”),17.433,17.43],[new Date(“2016-04-22”),17.446,17.45],[new Date(“2016-04-23”),17.469,17.47],[new Date(“2016-04-24”),17.467,17.47],[new Date(“2016-04-25”),17.555,17.55],[new Date(“2016-04-26”),17.408,17.41],[new Date(“2016-04-27”),17.346,17.35],[new Date(“2016-04-28”),17.284,17.28],[new Date(“2016-04-29”),17.203,17.20],[new Date(“2016-04-30″),17.183,17.18],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2016

01      17.9751
02      17.8751
↗0.100, 0.56%
03      17.9169
↘0.042, 0.23%
04      17.7919
↗0.125, 0.70%
05      17.7957
↘0.004, 0.02%
06      17.7690
↗0.027, 0.15%
07      17.7567
↗0.012, 0.07%
08      17.8993
↘0.143, 0.80%
09      17.7741
↗0.125, 0.70%
10      17.8407
↘0.067, 0.37%
11      17.7147
↗0.126, 0.71%
12      17.7101
↗0.005, 0.03%
13      17.7065
↗0.004, 0.02%
14      17.7447
↘0.038, 0.22%
15      17.8575
↘0.113, 0.64%
16      17.6698
↗0.188, 1.05%
17      17.4484
↗0.221, 1.25%
18      17.4192
↗0.029, 0.17%
19      17.3844
↗0.035, 0.20%
20      17.3970
↘0.013, 0.07%
21      17.4118
↘0.015, 0.08%
22      17.3564
↗0.055, 0.32%
23      17.5436
↘0.187, 1.08%
24      17.5706
↘0.027, 0.15%
25      17.5541
↗0.016, 0.09%
26      17.5474
↗0.007, 0.04%
27      17.5617
↘0.014, 0.08%
28      17.4560
↗0.106, 0.60%
29      17.3733
↗0.083, 0.47%
30      17.2856
↗0.088, 0.51%
31      17.2731
↗0.012, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-03-01”),17.975,17.98],[new Date(“2016-03-02”),17.875,17.88],[new Date(“2016-03-03”),17.917,17.92],[new Date(“2016-03-04”),17.792,17.79],[new Date(“2016-03-05”),17.796,17.80],[new Date(“2016-03-06”),17.769,17.77],[new Date(“2016-03-07”),17.757,17.76],[new Date(“2016-03-08”),17.899,17.90],[new Date(“2016-03-09”),17.774,17.77],[new Date(“2016-03-10”),17.841,17.84],[new Date(“2016-03-11”),17.715,17.71],[new Date(“2016-03-12”),17.710,17.71],[new Date(“2016-03-13”),17.707,17.71],[new Date(“2016-03-14”),17.745,17.74],[new Date(“2016-03-15”),17.858,17.86],[new Date(“2016-03-16”),17.670,17.67],[new Date(“2016-03-17”),17.448,17.45],[new Date(“2016-03-18”),17.419,17.42],[new Date(“2016-03-19”),17.384,17.38],[new Date(“2016-03-20”),17.397,17.40],[new Date(“2016-03-21”),17.412,17.41],[new Date(“2016-03-22”),17.356,17.36],[new Date(“2016-03-23”),17.544,17.54],[new Date(“2016-03-24”),17.571,17.57],[new Date(“2016-03-25”),17.554,17.55],[new Date(“2016-03-26”),17.547,17.55],[new Date(“2016-03-27”),17.562,17.56],[new Date(“2016-03-28”),17.456,17.46],[new Date(“2016-03-29”),17.373,17.37],[new Date(“2016-03-30”),17.286,17.29],[new Date(“2016-03-31″),17.273,17.27],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2016

01      18.2058
02      18.4334
↘0.228, 1.25%
03      18.2147
↗0.219, 1.19%
04      18.3002
↘0.085, 0.47%
05      18.3904
↘0.090, 0.49%
06      18.4144
↘0.024, 0.13%
07      18.4482
↘0.034, 0.18%
08      18.6135
↘0.165, 0.90%
09      18.7480
↘0.134, 0.72%
10      18.8887
↘0.141, 0.75%
11      19.0738
↘0.185, 0.98%
12      18.9348
↗0.139, 0.73%
13      18.9458
↘0.011, 0.06%
14      18.9257
↗0.020, 0.11%
15      18.8454
↗0.080, 0.42%
16      18.8835
↘0.038, 0.20%
17      18.4357
↗0.448, 2.37%
18      18.3818
↗0.054, 0.29%
19      18.2248
↗0.157, 0.85%
20      18.2332
↘0.008, 0.05%
21      18.2184
↗0.015, 0.08%
22      18.1032
↗0.115, 0.63%
23      18.1935
↘0.090, 0.50%
24      18.1889
↗0.005, 0.02%
25      18.1486
↗0.040, 0.22%
26      18.2591
↘0.110, 0.61%
27      18.2496
↗0.010, 0.05%
28      18.2780
↘0.028, 0.16%
29      18.1682
↗0.110, 0.60%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-02-01”),18.206,18.21],[new Date(“2016-02-02”),18.433,18.43],[new Date(“2016-02-03”),18.215,18.21],[new Date(“2016-02-04”),18.300,18.30],[new Date(“2016-02-05”),18.390,18.39],[new Date(“2016-02-06”),18.414,18.41],[new Date(“2016-02-07”),18.448,18.45],[new Date(“2016-02-08”),18.614,18.61],[new Date(“2016-02-09”),18.748,18.75],[new Date(“2016-02-10”),18.889,18.89],[new Date(“2016-02-11”),19.074,19.07],[new Date(“2016-02-12”),18.935,18.93],[new Date(“2016-02-13”),18.946,18.95],[new Date(“2016-02-14”),18.926,18.93],[new Date(“2016-02-15”),18.845,18.85],[new Date(“2016-02-16”),18.884,18.88],[new Date(“2016-02-17”),18.436,18.44],[new Date(“2016-02-18”),18.382,18.38],[new Date(“2016-02-19”),18.225,18.22],[new Date(“2016-02-20”),18.233,18.23],[new Date(“2016-02-21”),18.218,18.22],[new Date(“2016-02-22”),18.103,18.10],[new Date(“2016-02-23”),18.193,18.19],[new Date(“2016-02-24”),18.189,18.19],[new Date(“2016-02-25”),18.149,18.15],[new Date(“2016-02-26”),18.259,18.26],[new Date(“2016-02-27”),18.250,18.25],[new Date(“2016-02-28”),18.278,18.28],[new Date(“2016-02-29″),18.168,18.17],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2016

01      17.2587
02      17.2166
↗0.042, 0.24%
03      17.2095
↗0.007, 0.04%
04      17.2894
↘0.080, 0.46%
05      17.3314
↘0.042, 0.24%
06      17.5014
↘0.170, 0.98%
07      17.7497
↘0.248, 1.42%
08      17.8735
↘0.124, 0.70%
09      17.9133
↘0.040, 0.22%
10      17.9392
↘0.026, 0.14%
11      17.9064
↗0.033, 0.18%
12      17.9031
↗0.003, 0.02%
13      17.9281
↘0.025, 0.14%
14      17.8716
↗0.057, 0.32%
15      18.2004
↘0.329, 1.84%
16      18.2195
↘0.019, 0.10%
17      18.2777
↘0.058, 0.32%
18      18.2236
↗0.054, 0.30%
19      18.2657
↘0.042, 0.23%
20      18.4501
↘0.184, 1.01%
21      18.6581
↘0.208, 1.13%
22      18.4628
↗0.195, 1.05%
23      18.4728
↘0.010, 0.05%
24      18.4481
↗0.025, 0.13%
25      18.5843
↘0.136, 0.74%
26      18.4477
↗0.137, 0.74%
27      18.4697
↘0.022, 0.12%
28      18.3607
↗0.109, 0.59%
29      18.1626
↗0.198, 1.08%
30      18.1377
↗0.025, 0.14%
31      18.1219
↗0.016, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2016-01-01”),17.259,17.26],[new Date(“2016-01-02”),17.217,17.22],[new Date(“2016-01-03”),17.209,17.21],[new Date(“2016-01-04”),17.289,17.29],[new Date(“2016-01-05”),17.331,17.33],[new Date(“2016-01-06”),17.501,17.50],[new Date(“2016-01-07”),17.750,17.75],[new Date(“2016-01-08”),17.874,17.87],[new Date(“2016-01-09”),17.913,17.91],[new Date(“2016-01-10”),17.939,17.94],[new Date(“2016-01-11”),17.906,17.91],[new Date(“2016-01-12”),17.903,17.90],[new Date(“2016-01-13”),17.928,17.93],[new Date(“2016-01-14”),17.872,17.87],[new Date(“2016-01-15”),18.200,18.20],[new Date(“2016-01-16”),18.219,18.22],[new Date(“2016-01-17”),18.278,18.28],[new Date(“2016-01-18”),18.224,18.22],[new Date(“2016-01-19”),18.266,18.27],[new Date(“2016-01-20”),18.450,18.45],[new Date(“2016-01-21”),18.658,18.66],[new Date(“2016-01-22”),18.463,18.46],[new Date(“2016-01-23”),18.473,18.47],[new Date(“2016-01-24”),18.448,18.45],[new Date(“2016-01-25”),18.584,18.58],[new Date(“2016-01-26”),18.448,18.45],[new Date(“2016-01-27”),18.470,18.47],[new Date(“2016-01-28”),18.361,18.36],[new Date(“2016-01-29”),18.163,18.16],[new Date(“2016-01-30”),18.138,18.14],[new Date(“2016-01-31″),18.122,18.12],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}