Mexican Peso MXN 2013 Conversion Rates

  • Opening Value is 12.907365 MXN per Dollar
  • Closing Value is 13.044250 MXN per Dollar
  • Change in Value during 2013 is 0.1369 which is 1.06%
  • Best Performance is on 2013-05-09 with 11.996829 MXN per Dollar
  • Lowest Performance is on 2013-09-05 with 13.380699 MXN per Dollar
  • Average Value is 12.7586 MXN per Dollar
  • Swing Between the higest and the lowest is 1.3839 per Dollar, that is 10.72% compared to the opening value.

USD to MXN Conversion Rates – 12 months

Date 1 USD =
2013-12-31 13.0443 MXN
2013-11-30 13.1036 MXN
2013-10-31 12.9913 MXN
2013-09-30 13.0853 MXN
2013-08-31 13.3650 MXN
2013-07-31 12.7563 MXN
2013-06-30 12.9677 MXN
2013-05-31 12.7817 MXN
2013-04-30 12.1404 MXN
2013-03-31 12.3255 MXN
2013-02-28 12.7919 MXN
2013-01-31 12.7043 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(“2013-12-31”),13.044,13.04],[new Date(“2013-11-30”),13.104,13.10],[new Date(“2013-10-31”),12.991,12.99],[new Date(“2013-09-30”),13.085,13.09],[new Date(“2013-08-31”),13.365,13.36],[new Date(“2013-07-31”),12.756,12.76],[new Date(“2013-06-30”),12.968,12.97],[new Date(“2013-05-31”),12.782,12.78],[new Date(“2013-04-30”),12.140,12.14],[new Date(“2013-03-31”),12.326,12.33],[new Date(“2013-02-28”),12.792,12.79],[new Date(“2013-01-31”),12.704,12.70],]);var options = {
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‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2013

01      13.1086
02      13.1909
↘0.082, 0.63%
03      13.1125
↗0.078, 0.59%
04      13.0762
↗0.036, 0.28%
05      13.0955
↘0.019, 0.15%
06      12.9544
↗0.141, 1.08%
07      12.9530
↗0.001, 0.01%
08      12.9182
↗0.035, 0.27%
09      12.8691
↗0.049, 0.38%
10      12.8716
↘0.002, 0.02%
11      12.9981
↘0.127, 0.98%
12      12.9448
↗0.053, 0.41%
13      12.9113
↗0.033, 0.26%
14      12.8985
↗0.013, 0.10%
15      12.8920
↗0.007, 0.05%
16      12.9192
↘0.027, 0.21%
17      12.9497
↘0.030, 0.24%
18      12.8935
↗0.056, 0.43%
19      12.9512
↘0.058, 0.45%
20      12.9705
↘0.019, 0.15%
21      12.9799
↘0.009, 0.07%
22      12.9727
↗0.007, 0.06%
23      12.9871
↘0.014, 0.11%
24      13.0190
↘0.032, 0.25%
25      13.0218
↘0.003, 0.02%
26      13.0637
↘0.042, 0.32%
27      13.0532
↗0.010, 0.08%
28      13.0607
↘0.008, 0.06%
29      13.0602
↗0.001, 0.00%
30      13.0692
↘0.009, 0.07%
31      13.0443
↗0.025, 0.19%
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(“2013-12-01”),13.109,13.11],[new Date(“2013-12-02”),13.191,13.19],[new Date(“2013-12-03”),13.113,13.11],[new Date(“2013-12-04”),13.076,13.08],[new Date(“2013-12-05”),13.095,13.10],[new Date(“2013-12-06”),12.954,12.95],[new Date(“2013-12-07”),12.953,12.95],[new Date(“2013-12-08”),12.918,12.92],[new Date(“2013-12-09”),12.869,12.87],[new Date(“2013-12-10”),12.872,12.87],[new Date(“2013-12-11”),12.998,13.00],[new Date(“2013-12-12”),12.945,12.94],[new Date(“2013-12-13”),12.911,12.91],[new Date(“2013-12-14”),12.899,12.90],[new Date(“2013-12-15”),12.892,12.89],[new Date(“2013-12-16”),12.919,12.92],[new Date(“2013-12-17”),12.950,12.95],[new Date(“2013-12-18”),12.893,12.89],[new Date(“2013-12-19”),12.951,12.95],[new Date(“2013-12-20”),12.971,12.97],[new Date(“2013-12-21”),12.980,12.98],[new Date(“2013-12-22”),12.973,12.97],[new Date(“2013-12-23”),12.987,12.99],[new Date(“2013-12-24”),13.019,13.02],[new Date(“2013-12-25”),13.022,13.02],[new Date(“2013-12-26”),13.064,13.06],[new Date(“2013-12-27”),13.053,13.05],[new Date(“2013-12-28”),13.061,13.06],[new Date(“2013-12-29”),13.060,13.06],[new Date(“2013-12-30”),13.069,13.07],[new Date(“2013-12-31″),13.044,13.04],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
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November, 2013

01      13.0428
02      13.0367
↗0.006, 0.05%
03      13.0438
↘0.007, 0.05%
04      13.0025
↗0.041, 0.32%
05      13.1341
↘0.132, 1.01%
06      13.1500
↘0.016, 0.12%
07      13.2077
↘0.058, 0.44%
08      13.1708
↗0.037, 0.28%
09      13.1820
↘0.011, 0.09%
10      13.1814
↗0.001, 0.00%
11      13.2042
↘0.023, 0.17%
12      13.1786
↗0.026, 0.19%
13      13.0543
↗0.124, 0.94%
14      13.0069
↗0.047, 0.36%
15      12.9539
↗0.053, 0.41%
16      12.9402
↗0.014, 0.11%
17      12.9346
↗0.006, 0.04%
18      12.8998
↗0.035, 0.27%
19      12.9526
↘0.053, 0.41%
20      13.0557
↘0.103, 0.80%
21      13.0251
↗0.031, 0.23%
22      12.9917
↗0.033, 0.26%
23      12.9802
↗0.011, 0.09%
24      12.9781
↗0.002, 0.02%
25      13.0294
↘0.051, 0.40%
26      13.0483
↘0.019, 0.14%
27      13.1086
↘0.060, 0.46%
28      13.0709
↗0.038, 0.29%
29      13.1074
↘0.037, 0.28%
30      13.1036
↗0.004, 0.03%
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(“2013-11-01”),13.043,13.04],[new Date(“2013-11-02”),13.037,13.04],[new Date(“2013-11-03”),13.044,13.04],[new Date(“2013-11-04”),13.003,13.00],[new Date(“2013-11-05”),13.134,13.13],[new Date(“2013-11-06”),13.150,13.15],[new Date(“2013-11-07”),13.208,13.21],[new Date(“2013-11-08”),13.171,13.17],[new Date(“2013-11-09”),13.182,13.18],[new Date(“2013-11-10”),13.181,13.18],[new Date(“2013-11-11”),13.204,13.20],[new Date(“2013-11-12”),13.179,13.18],[new Date(“2013-11-13”),13.054,13.05],[new Date(“2013-11-14”),13.007,13.01],[new Date(“2013-11-15”),12.954,12.95],[new Date(“2013-11-16”),12.940,12.94],[new Date(“2013-11-17”),12.935,12.93],[new Date(“2013-11-18”),12.900,12.90],[new Date(“2013-11-19”),12.953,12.95],[new Date(“2013-11-20”),13.056,13.06],[new Date(“2013-11-21”),13.025,13.03],[new Date(“2013-11-22”),12.992,12.99],[new Date(“2013-11-23”),12.980,12.98],[new Date(“2013-11-24”),12.978,12.98],[new Date(“2013-11-25”),13.029,13.03],[new Date(“2013-11-26”),13.048,13.05],[new Date(“2013-11-27”),13.109,13.11],[new Date(“2013-11-28”),13.071,13.07],[new Date(“2013-11-29”),13.107,13.11],[new Date(“2013-11-30″),13.104,13.10],]);var options = {
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title: ‘Date’
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title: ‘Conversion Rate’
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‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2013

01      13.1438
02      13.0916
↗0.052, 0.40%
03      13.1415
↘0.050, 0.38%
04      13.1100
↗0.031, 0.24%
05      13.0928
↗0.017, 0.13%
06      13.0849
↗0.008, 0.06%
07      13.1381
↘0.053, 0.41%
08      13.1714
↘0.033, 0.25%
09      13.1817
↘0.010, 0.08%
10      13.1278
↗0.054, 0.41%
11      13.0299
↗0.098, 0.75%
12      13.0037
↗0.026, 0.20%
13      13.0152
↘0.011, 0.09%
14      13.0056
↗0.010, 0.07%
15      12.9952
↗0.010, 0.08%
16      12.8917
↗0.103, 0.80%
17      12.8211
↗0.071, 0.55%
18      12.8384
↘0.017, 0.13%
19      12.8419
↘0.004, 0.03%
20      12.8489
↘0.007, 0.05%
21      12.9473
↘0.098, 0.77%
22      12.8764
↗0.071, 0.55%
23      12.9799
↘0.104, 0.80%
24      12.9649
↗0.015, 0.12%
25      12.9151
↗0.050, 0.38%
26      12.8911
↗0.024, 0.19%
27      12.8723
↗0.019, 0.15%
28      12.8747
↘0.002, 0.02%
29      12.9175
↘0.043, 0.33%
30      12.9277
↘0.010, 0.08%
31      12.9913
↘0.064, 0.49%
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(“2013-10-01”),13.144,13.14],[new Date(“2013-10-02”),13.092,13.09],[new Date(“2013-10-03”),13.141,13.14],[new Date(“2013-10-04”),13.110,13.11],[new Date(“2013-10-05”),13.093,13.09],[new Date(“2013-10-06”),13.085,13.08],[new Date(“2013-10-07”),13.138,13.14],[new Date(“2013-10-08”),13.171,13.17],[new Date(“2013-10-09”),13.182,13.18],[new Date(“2013-10-10”),13.128,13.13],[new Date(“2013-10-11”),13.030,13.03],[new Date(“2013-10-12”),13.004,13.00],[new Date(“2013-10-13”),13.015,13.02],[new Date(“2013-10-14”),13.006,13.01],[new Date(“2013-10-15”),12.995,13.00],[new Date(“2013-10-16”),12.892,12.89],[new Date(“2013-10-17”),12.821,12.82],[new Date(“2013-10-18”),12.838,12.84],[new Date(“2013-10-19”),12.842,12.84],[new Date(“2013-10-20”),12.849,12.85],[new Date(“2013-10-21”),12.947,12.95],[new Date(“2013-10-22”),12.876,12.88],[new Date(“2013-10-23”),12.980,12.98],[new Date(“2013-10-24”),12.965,12.96],[new Date(“2013-10-25”),12.915,12.92],[new Date(“2013-10-26”),12.891,12.89],[new Date(“2013-10-27”),12.872,12.87],[new Date(“2013-10-28”),12.875,12.87],[new Date(“2013-10-29”),12.918,12.92],[new Date(“2013-10-30”),12.928,12.93],[new Date(“2013-10-31″),12.991,12.99],]);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, 2013

01      13.3610
02      13.3256
↗0.035, 0.26%
03      13.3717
↘0.046, 0.35%
04      13.3333
↗0.038, 0.29%
05      13.3807
↘0.047, 0.36%
06      13.2356
↗0.145, 1.08%
07      13.2010
↗0.035, 0.26%
08      13.2038
↘0.003, 0.02%
09      13.1240
↗0.080, 0.60%
10      13.0961
↗0.028, 0.21%
11      13.0587
↗0.037, 0.29%
12      13.0761
↘0.017, 0.13%
13      13.0628
↗0.013, 0.10%
14      13.0485
↗0.014, 0.11%
15      12.9780
↗0.071, 0.54%
16      12.9524
↗0.026, 0.20%
17      12.9272
↗0.025, 0.19%
18      12.7491
↗0.178, 1.38%
19      12.7293
↗0.020, 0.16%
20      12.8053
↘0.076, 0.60%
21      12.8403
↘0.035, 0.27%
22      12.8644
↘0.024, 0.19%
23      12.8257
↗0.039, 0.30%
24      12.9233
↘0.098, 0.76%
25      12.9800
↘0.057, 0.44%
26      13.0409
↘0.061, 0.47%
27      13.0956
↘0.055, 0.42%
28      13.1128
↘0.017, 0.13%
29      13.1431
↘0.030, 0.23%
30      13.0853
↗0.058, 0.44%
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(“2013-09-01”),13.361,13.36],[new Date(“2013-09-02”),13.326,13.33],[new Date(“2013-09-03”),13.372,13.37],[new Date(“2013-09-04”),13.333,13.33],[new Date(“2013-09-05”),13.381,13.38],[new Date(“2013-09-06”),13.236,13.24],[new Date(“2013-09-07”),13.201,13.20],[new Date(“2013-09-08”),13.204,13.20],[new Date(“2013-09-09”),13.124,13.12],[new Date(“2013-09-10”),13.096,13.10],[new Date(“2013-09-11”),13.059,13.06],[new Date(“2013-09-12”),13.076,13.08],[new Date(“2013-09-13”),13.063,13.06],[new Date(“2013-09-14”),13.049,13.05],[new Date(“2013-09-15”),12.978,12.98],[new Date(“2013-09-16”),12.952,12.95],[new Date(“2013-09-17”),12.927,12.93],[new Date(“2013-09-18”),12.749,12.75],[new Date(“2013-09-19”),12.729,12.73],[new Date(“2013-09-20”),12.805,12.81],[new Date(“2013-09-21”),12.840,12.84],[new Date(“2013-09-22”),12.864,12.86],[new Date(“2013-09-23”),12.826,12.83],[new Date(“2013-09-24”),12.923,12.92],[new Date(“2013-09-25”),12.980,12.98],[new Date(“2013-09-26”),13.041,13.04],[new Date(“2013-09-27”),13.096,13.10],[new Date(“2013-09-28”),13.113,13.11],[new Date(“2013-09-29”),13.143,13.14],[new Date(“2013-09-30″),13.085,13.09],]);var options = {
hAxis: {
title: ‘Date’
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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);
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August, 2013

01      12.8110
02      12.7113
↗0.100, 0.78%
03      12.6820
↗0.029, 0.23%
04      12.6583
↗0.024, 0.19%
05      12.6501
↗0.008, 0.06%
06      12.6332
↗0.017, 0.13%
07      12.7096
↘0.076, 0.60%
08      12.6320
↗0.078, 0.61%
09      12.6219
↗0.010, 0.08%
10      12.6088
↗0.013, 0.10%
11      12.6017
↗0.007, 0.06%
12      12.6574
↘0.056, 0.44%
13      12.7040
↘0.047, 0.37%
14      12.7311
↘0.027, 0.21%
15      12.7921
↘0.061, 0.48%
16      12.8766
↘0.084, 0.66%
17      12.9023
↘0.026, 0.20%
18      12.9154
↘0.013, 0.10%
19      13.0351
↘0.120, 0.93%
20      12.9949
↗0.040, 0.31%
21      13.1936
↘0.199, 1.53%
22      13.1056
↗0.088, 0.67%
23      13.0148
↗0.091, 0.69%
24      12.9840
↗0.031, 0.24%
25      12.9925
↘0.009, 0.07%
26      13.1408
↘0.148, 1.14%
27      13.2139
↘0.073, 0.56%
28      13.3031
↘0.089, 0.67%
29      13.3341
↘0.031, 0.23%
30      13.3549
↘0.021, 0.16%
31      13.3650
↘0.010, 0.08%
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(“2013-08-01”),12.811,12.81],[new Date(“2013-08-02”),12.711,12.71],[new Date(“2013-08-03”),12.682,12.68],[new Date(“2013-08-04”),12.658,12.66],[new Date(“2013-08-05”),12.650,12.65],[new Date(“2013-08-06”),12.633,12.63],[new Date(“2013-08-07”),12.710,12.71],[new Date(“2013-08-08”),12.632,12.63],[new Date(“2013-08-09”),12.622,12.62],[new Date(“2013-08-10”),12.609,12.61],[new Date(“2013-08-11”),12.602,12.60],[new Date(“2013-08-12”),12.657,12.66],[new Date(“2013-08-13”),12.704,12.70],[new Date(“2013-08-14”),12.731,12.73],[new Date(“2013-08-15”),12.792,12.79],[new Date(“2013-08-16”),12.877,12.88],[new Date(“2013-08-17”),12.902,12.90],[new Date(“2013-08-18”),12.915,12.92],[new Date(“2013-08-19”),13.035,13.04],[new Date(“2013-08-20”),12.995,12.99],[new Date(“2013-08-21”),13.194,13.19],[new Date(“2013-08-22”),13.106,13.11],[new Date(“2013-08-23”),13.015,13.01],[new Date(“2013-08-24”),12.984,12.98],[new Date(“2013-08-25”),12.993,12.99],[new Date(“2013-08-26”),13.141,13.14],[new Date(“2013-08-27”),13.214,13.21],[new Date(“2013-08-28”),13.303,13.30],[new Date(“2013-08-29”),13.334,13.33],[new Date(“2013-08-30”),13.355,13.35],[new Date(“2013-08-31″),13.365,13.36],]);var options = {
hAxis: {
title: ‘Date’
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title: ‘Conversion Rate’
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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, 2013

01      12.9435
02      13.0012
↘0.058, 0.45%
03      12.9799
↗0.021, 0.16%
04      12.9532
↗0.027, 0.21%
05      13.0105
↘0.057, 0.44%
06      13.0607
↘0.050, 0.39%
07      13.0832
↘0.022, 0.17%
08      12.9597
↗0.123, 0.94%
09      12.9170
↗0.043, 0.33%
10      12.8311
↗0.086, 0.66%
11      12.8289
↗0.002, 0.02%
12      12.8230
↗0.006, 0.05%
13      12.8235
↘0.001, 0.00%
14      12.8244
↘0.001, 0.01%
15      12.7190
↗0.105, 0.82%
16      12.6621
↗0.057, 0.45%
17      12.5336
↗0.128, 1.01%
18      12.5361
↘0.002, 0.02%
19      12.5472
↘0.011, 0.09%
20      12.5370
↗0.010, 0.08%
21      12.5327
↗0.004, 0.03%
22      12.5227
↗0.010, 0.08%
23      12.5097
↗0.013, 0.10%
24      12.5802
↘0.071, 0.56%
25      12.5836
↘0.003, 0.03%
26      12.6484
↘0.065, 0.51%
27      12.6618
↘0.013, 0.11%
28      12.6655
↘0.004, 0.03%
29      12.7221
↘0.057, 0.45%
30      12.7508
↘0.029, 0.23%
31      12.7563
↘0.005, 0.04%
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(“2013-07-01”),12.943,12.94],[new Date(“2013-07-02”),13.001,13.00],[new Date(“2013-07-03”),12.980,12.98],[new Date(“2013-07-04”),12.953,12.95],[new Date(“2013-07-05”),13.010,13.01],[new Date(“2013-07-06”),13.061,13.06],[new Date(“2013-07-07”),13.083,13.08],[new Date(“2013-07-08”),12.960,12.96],[new Date(“2013-07-09”),12.917,12.92],[new Date(“2013-07-10”),12.831,12.83],[new Date(“2013-07-11”),12.829,12.83],[new Date(“2013-07-12”),12.823,12.82],[new Date(“2013-07-13”),12.823,12.82],[new Date(“2013-07-14”),12.824,12.82],[new Date(“2013-07-15”),12.719,12.72],[new Date(“2013-07-16”),12.662,12.66],[new Date(“2013-07-17”),12.534,12.53],[new Date(“2013-07-18”),12.536,12.54],[new Date(“2013-07-19”),12.547,12.55],[new Date(“2013-07-20”),12.537,12.54],[new Date(“2013-07-21”),12.533,12.53],[new Date(“2013-07-22”),12.523,12.52],[new Date(“2013-07-23”),12.510,12.51],[new Date(“2013-07-24”),12.580,12.58],[new Date(“2013-07-25”),12.584,12.58],[new Date(“2013-07-26”),12.648,12.65],[new Date(“2013-07-27”),12.662,12.66],[new Date(“2013-07-28”),12.666,12.67],[new Date(“2013-07-29”),12.722,12.72],[new Date(“2013-07-30”),12.751,12.75],[new Date(“2013-07-31″),12.756,12.76],]);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, 2013

01      12.8192
02      12.8172
↗0.002, 0.02%
03      12.7680
↗0.049, 0.38%
04      12.7293
↗0.039, 0.30%
05      12.8040
↘0.075, 0.59%
06      12.8039
↗0.000, 0.00%
07      12.8065
↘0.003, 0.02%
08      12.7794
↗0.027, 0.21%
09      12.7679
↗0.011, 0.09%
10      12.8572
↘0.089, 0.70%
11      12.8588
↘0.002, 0.01%
12      12.8941
↘0.035, 0.27%
13      12.7153
↗0.179, 1.39%
14      12.7291
↘0.014, 0.11%
15      12.7025
↗0.027, 0.21%
16      12.7194
↘0.017, 0.13%
17      12.7757
↘0.056, 0.44%
18      12.8587
↘0.083, 0.65%
19      13.0751
↘0.216, 1.68%
20      13.2517
↘0.177, 1.35%
21      13.3060
↘0.054, 0.41%
22      13.3057
↗0.000, 0.00%
23      13.3051
↗0.001, 0.00%
24      13.3133
↘0.008, 0.06%
25      13.2535
↗0.060, 0.45%
26      13.1782
↗0.075, 0.57%
27      13.0637
↗0.115, 0.87%
28      12.9887
↗0.075, 0.57%
29      12.9609
↗0.028, 0.21%
30      12.9677
↘0.007, 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(“2013-06-01”),12.819,12.82],[new Date(“2013-06-02”),12.817,12.82],[new Date(“2013-06-03”),12.768,12.77],[new Date(“2013-06-04”),12.729,12.73],[new Date(“2013-06-05”),12.804,12.80],[new Date(“2013-06-06”),12.804,12.80],[new Date(“2013-06-07”),12.806,12.81],[new Date(“2013-06-08”),12.779,12.78],[new Date(“2013-06-09”),12.768,12.77],[new Date(“2013-06-10”),12.857,12.86],[new Date(“2013-06-11”),12.859,12.86],[new Date(“2013-06-12”),12.894,12.89],[new Date(“2013-06-13”),12.715,12.72],[new Date(“2013-06-14”),12.729,12.73],[new Date(“2013-06-15”),12.703,12.70],[new Date(“2013-06-16”),12.719,12.72],[new Date(“2013-06-17”),12.776,12.78],[new Date(“2013-06-18”),12.859,12.86],[new Date(“2013-06-19”),13.075,13.08],[new Date(“2013-06-20”),13.252,13.25],[new Date(“2013-06-21”),13.306,13.31],[new Date(“2013-06-22”),13.306,13.31],[new Date(“2013-06-23”),13.305,13.31],[new Date(“2013-06-24”),13.313,13.31],[new Date(“2013-06-25”),13.254,13.25],[new Date(“2013-06-26”),13.178,13.18],[new Date(“2013-06-27”),13.064,13.06],[new Date(“2013-06-28”),12.989,12.99],[new Date(“2013-06-29”),12.961,12.96],[new Date(“2013-06-30″),12.968,12.97],]);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, 2013

01      12.1950
02      12.1715
↗0.024, 0.19%
03      12.1095
↗0.062, 0.51%
04      12.0831
↗0.026, 0.22%
05      12.0697
↗0.013, 0.11%
06      12.0953
↘0.026, 0.21%
07      12.0556
↗0.040, 0.33%
08      12.0138
↗0.042, 0.35%
09      11.9968
↗0.017, 0.14%
10      12.0526
↘0.056, 0.46%
11      12.0815
↘0.029, 0.24%
12      12.0974
↘0.016, 0.13%
13      12.1383
↘0.041, 0.34%
14      12.1635
↘0.025, 0.21%
15      12.1748
↘0.011, 0.09%
16      12.2542
↘0.079, 0.65%
17      12.3100
↘0.056, 0.45%
18      12.3067
↗0.003, 0.03%
19      12.3147
↘0.008, 0.07%
20      12.3109
↗0.004, 0.03%
21      12.3268
↘0.016, 0.13%
22      12.3875
↘0.061, 0.49%
23      12.4029
↘0.015, 0.12%
24      12.5002
↘0.097, 0.78%
25      12.5198
↘0.020, 0.16%
26      12.5332
↘0.013, 0.11%
27      12.4858
↗0.047, 0.38%
28      12.5772
↘0.091, 0.73%
29      12.6233
↘0.046, 0.37%
30      12.7313
↘0.108, 0.86%
31      12.7817
↘0.050, 0.40%
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(“2013-05-01”),12.195,12.20],[new Date(“2013-05-02”),12.171,12.17],[new Date(“2013-05-03”),12.110,12.11],[new Date(“2013-05-04”),12.083,12.08],[new Date(“2013-05-05”),12.070,12.07],[new Date(“2013-05-06”),12.095,12.10],[new Date(“2013-05-07”),12.056,12.06],[new Date(“2013-05-08”),12.014,12.01],[new Date(“2013-05-09”),11.997,12.00],[new Date(“2013-05-10”),12.053,12.05],[new Date(“2013-05-11”),12.081,12.08],[new Date(“2013-05-12”),12.097,12.10],[new Date(“2013-05-13”),12.138,12.14],[new Date(“2013-05-14”),12.164,12.16],[new Date(“2013-05-15”),12.175,12.17],[new Date(“2013-05-16”),12.254,12.25],[new Date(“2013-05-17”),12.310,12.31],[new Date(“2013-05-18”),12.307,12.31],[new Date(“2013-05-19”),12.315,12.31],[new Date(“2013-05-20”),12.311,12.31],[new Date(“2013-05-21”),12.327,12.33],[new Date(“2013-05-22”),12.388,12.39],[new Date(“2013-05-23”),12.403,12.40],[new Date(“2013-05-24”),12.500,12.50],[new Date(“2013-05-25”),12.520,12.52],[new Date(“2013-05-26”),12.533,12.53],[new Date(“2013-05-27”),12.486,12.49],[new Date(“2013-05-28”),12.577,12.58],[new Date(“2013-05-29”),12.623,12.62],[new Date(“2013-05-30”),12.731,12.73],[new Date(“2013-05-31″),12.782,12.78],]);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, 2013

01      12.3463
02      12.2898
↗0.057, 0.46%
03      12.3261
↘0.036, 0.30%
04      12.3089
↗0.017, 0.14%
05      12.2664
↗0.042, 0.34%
06      12.2360
↗0.030, 0.25%
07      12.1872
↗0.049, 0.40%
08      12.1823
↗0.005, 0.04%
09      12.1642
↗0.018, 0.15%
10      12.1203
↗0.044, 0.36%
11      12.0617
↗0.059, 0.48%
12      12.0832
↘0.021, 0.18%
13      12.0791
↗0.004, 0.03%
14      12.0833
↘0.004, 0.03%
15      12.2101
↘0.127, 1.05%
16      12.1423
↗0.068, 0.56%
17      12.2121
↘0.070, 0.57%
18      12.2287
↘0.017, 0.14%
19      12.2524
↘0.024, 0.19%
20      12.2657
↘0.013, 0.11%
21      12.2669
↘0.001, 0.01%
22      12.2694
↘0.003, 0.02%
23      12.2635
↗0.006, 0.05%
24      12.2071
↗0.056, 0.46%
25      12.1867
↗0.020, 0.17%
26      12.1555
↗0.031, 0.26%
27      12.1508
↗0.005, 0.04%
28      12.1438
↗0.007, 0.06%
29      12.1859
↘0.042, 0.35%
30      12.1404
↗0.045, 0.37%
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(“2013-04-01”),12.346,12.35],[new Date(“2013-04-02”),12.290,12.29],[new Date(“2013-04-03”),12.326,12.33],[new Date(“2013-04-04”),12.309,12.31],[new Date(“2013-04-05”),12.266,12.27],[new Date(“2013-04-06”),12.236,12.24],[new Date(“2013-04-07”),12.187,12.19],[new Date(“2013-04-08”),12.182,12.18],[new Date(“2013-04-09”),12.164,12.16],[new Date(“2013-04-10”),12.120,12.12],[new Date(“2013-04-11”),12.062,12.06],[new Date(“2013-04-12”),12.083,12.08],[new Date(“2013-04-13”),12.079,12.08],[new Date(“2013-04-14”),12.083,12.08],[new Date(“2013-04-15”),12.210,12.21],[new Date(“2013-04-16”),12.142,12.14],[new Date(“2013-04-17”),12.212,12.21],[new Date(“2013-04-18”),12.229,12.23],[new Date(“2013-04-19”),12.252,12.25],[new Date(“2013-04-20”),12.266,12.27],[new Date(“2013-04-21”),12.267,12.27],[new Date(“2013-04-22”),12.269,12.27],[new Date(“2013-04-23”),12.263,12.26],[new Date(“2013-04-24”),12.207,12.21],[new Date(“2013-04-25”),12.187,12.19],[new Date(“2013-04-26”),12.156,12.16],[new Date(“2013-04-27”),12.151,12.15],[new Date(“2013-04-28”),12.144,12.14],[new Date(“2013-04-29”),12.186,12.19],[new Date(“2013-04-30″),12.140,12.14],]);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, 2013

01      12.7583
02      12.7653
↘0.007, 0.05%
03      12.7552
↗0.010, 0.08%
04      12.7517
↗0.003, 0.03%
05      12.7225
↗0.029, 0.23%
06      12.7523
↘0.030, 0.23%
07      12.7468
↗0.006, 0.04%
08      12.6741
↗0.073, 0.57%
09      12.6481
↗0.026, 0.21%
10      12.6272
↗0.021, 0.16%
11      12.5750
↗0.052, 0.41%
12      12.4886
↗0.086, 0.69%
13      12.4640
↗0.025, 0.20%
14      12.4288
↗0.035, 0.28%
15      12.4341
↘0.005, 0.04%
16      12.4332
↗0.001, 0.01%
17      12.4576
↘0.024, 0.20%
18      12.4298
↗0.028, 0.22%
19      12.4542
↘0.024, 0.20%
20      12.3663
↗0.088, 0.71%
21      12.4130
↘0.047, 0.38%
22      12.3544
↗0.059, 0.47%
23      12.3664
↘0.012, 0.10%
24      12.3640
↗0.002, 0.02%
25      12.3527
↗0.011, 0.09%
26      12.3539
↘0.001, 0.01%
27      12.3406
↗0.013, 0.11%
28      12.3598
↘0.019, 0.16%
29      12.3240
↗0.036, 0.29%
30      12.3191
↗0.005, 0.04%
31      12.3255
↘0.006, 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(“2013-03-01”),12.758,12.76],[new Date(“2013-03-02”),12.765,12.77],[new Date(“2013-03-03”),12.755,12.76],[new Date(“2013-03-04”),12.752,12.75],[new Date(“2013-03-05”),12.722,12.72],[new Date(“2013-03-06”),12.752,12.75],[new Date(“2013-03-07”),12.747,12.75],[new Date(“2013-03-08”),12.674,12.67],[new Date(“2013-03-09”),12.648,12.65],[new Date(“2013-03-10”),12.627,12.63],[new Date(“2013-03-11”),12.575,12.57],[new Date(“2013-03-12”),12.489,12.49],[new Date(“2013-03-13”),12.464,12.46],[new Date(“2013-03-14”),12.429,12.43],[new Date(“2013-03-15”),12.434,12.43],[new Date(“2013-03-16”),12.433,12.43],[new Date(“2013-03-17”),12.458,12.46],[new Date(“2013-03-18”),12.430,12.43],[new Date(“2013-03-19”),12.454,12.45],[new Date(“2013-03-20”),12.366,12.37],[new Date(“2013-03-21”),12.413,12.41],[new Date(“2013-03-22”),12.354,12.35],[new Date(“2013-03-23”),12.366,12.37],[new Date(“2013-03-24”),12.364,12.36],[new Date(“2013-03-25”),12.353,12.35],[new Date(“2013-03-26”),12.354,12.35],[new Date(“2013-03-27”),12.341,12.34],[new Date(“2013-03-28”),12.360,12.36],[new Date(“2013-03-29”),12.324,12.32],[new Date(“2013-03-30”),12.319,12.32],[new Date(“2013-03-31″),12.326,12.33],]);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, 2013

01      12.6645
02      12.6599
↗0.005, 0.04%
03      12.6164
↗0.043, 0.34%
04      12.6840
↘0.068, 0.54%
05      12.6397
↗0.044, 0.35%
06      12.6834
↘0.044, 0.35%
07      12.7063
↘0.023, 0.18%
08      12.7188
↘0.012, 0.10%
09      12.7258
↘0.007, 0.06%
10      12.7280
↘0.002, 0.02%
11      12.7412
↘0.013, 0.10%
12      12.7247
↗0.017, 0.13%
13      12.6992
↗0.026, 0.20%
14      12.6919
↗0.007, 0.06%
15      12.6879
↗0.004, 0.03%
16      12.6871
↗0.001, 0.01%
17      12.6891
↘0.002, 0.02%
18      12.6865
↗0.003, 0.02%
19      12.6521
↗0.034, 0.27%
20      12.7106
↘0.058, 0.46%
21      12.7360
↘0.025, 0.20%
22      12.7274
↗0.009, 0.07%
23      12.7134
↗0.014, 0.11%
24      12.7105
↗0.003, 0.02%
25      12.7773
↘0.067, 0.53%
26      12.7985
↘0.021, 0.17%
27      12.7955
↗0.003, 0.02%
28      12.7919
↗0.004, 0.03%
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”);
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January, 2013

01      12.9074
02      12.7877
↗0.120, 0.93%
03      12.7920
↘0.004, 0.03%
04      12.7433
↗0.049, 0.38%
05      12.7497
↘0.006, 0.05%
06      12.7396
↗0.010, 0.08%
07      12.7555
↘0.016, 0.12%
08      12.7829
↘0.027, 0.21%
09      12.7456
↗0.037, 0.29%
10      12.6499
↗0.096, 0.75%
11      12.6483
↗0.002, 0.01%
12      12.6355
↗0.013, 0.10%
13      12.6395
↘0.004, 0.03%
14      12.6186
↗0.021, 0.17%
15      12.6300
↘0.011, 0.09%
16      12.6307
↘0.001, 0.01%
17      12.5997
↗0.031, 0.24%
18      12.6401
↘0.040, 0.32%
19      12.6542
↘0.014, 0.11%
20      12.6659
↘0.012, 0.09%
21      12.6835
↘0.018, 0.14%
22      12.6403
↗0.043, 0.34%
23      12.6852
↘0.045, 0.36%
24      12.6503
↗0.035, 0.28%
25      12.6954
↘0.045, 0.36%
26      12.6910
↗0.004, 0.04%
27      12.6958
↘0.005, 0.04%
28      12.7574
↘0.062, 0.49%
29      12.7255
↗0.032, 0.25%
30      12.7291
↘0.004, 0.03%
31      12.7043
↗0.025, 0.19%
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