Mexican Peso MXN 2005 Conversion Rates

  • Opening Value is 11.149362 MXN per Dollar
  • Closing Value is 10.688311 MXN per Dollar
  • Change in Value during 2005 is -0.4611 which is -4.14%
  • Best Performance is on 2005-12-06 with 10.423986 MXN per Dollar
  • Lowest Performance is on 2005-01-06 with 11.391900 MXN per Dollar
  • Average Value is 10.8917 MXN per Dollar
  • Swing Between the higest and the lowest is 0.9679 per Dollar, that is 8.68% compared to the opening value.

USD to MXN Conversion Rates – 12 months

Date 1 USD =
2005-12-31 10.6883 MXN
2005-11-30 10.5823 MXN
2005-10-31 10.8023 MXN
2005-09-30 10.7842 MXN
2005-08-31 10.7987 MXN
2005-07-31 10.5942 MXN
2005-06-30 10.7619 MXN
2005-05-31 10.8951 MXN
2005-04-30 11.0709 MXN
2005-03-31 11.1838 MXN
2005-02-28 11.0877 MXN
2005-01-31 11.2196 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(“2005-12-31”),10.688,10.69],[new Date(“2005-11-30”),10.582,10.58],[new Date(“2005-10-31”),10.802,10.80],[new Date(“2005-09-30”),10.784,10.78],[new Date(“2005-08-31”),10.799,10.80],[new Date(“2005-07-31”),10.594,10.59],[new Date(“2005-06-30”),10.762,10.76],[new Date(“2005-05-31”),10.895,10.90],[new Date(“2005-04-30”),11.071,11.07],[new Date(“2005-03-31”),11.184,11.18],[new Date(“2005-02-28”),11.088,11.09],[new Date(“2005-01-31”),11.220,11.22],]);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, 2005

01      10.5290
02      10.4619
↗0.067, 0.64%
03      10.4530
↗0.009, 0.08%
04      10.4530
→0.000, 0.00%
05      10.4757
↘0.023, 0.22%
06      10.4240
↗0.052, 0.49%
07      10.4351
↘0.011, 0.11%
08      10.5010
↘0.066, 0.63%
09      10.5857
↘0.085, 0.81%
10      10.5817
↗0.004, 0.04%
11      10.5817
→0.000, 0.00%
12      10.6221
↘0.040, 0.38%
13      10.6576
↘0.035, 0.33%
14      10.6996
↘0.042, 0.39%
15      10.7428
↘0.043, 0.40%
16      10.7644
↘0.022, 0.20%
17      10.7568
↗0.008, 0.07%
18      10.7568
→0.000, 0.00%
19      10.7402
↗0.017, 0.15%
20      10.6868
↗0.053, 0.50%
21      10.6455
↗0.041, 0.39%
22      10.6438
↗0.002, 0.02%
23      10.6710
↘0.027, 0.26%
24      10.6672
↗0.004, 0.04%
25      10.6672
→0.000, 0.00%
26      10.6672
→0.000, 0.00%
27      10.7210
↘0.054, 0.50%
28      10.7460
↘0.025, 0.23%
29      10.7188
↗0.027, 0.25%
30      10.6639
↗0.055, 0.51%
31      10.6883
↘0.024, 0.23%
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(“2005-12-01”),10.529,10.53],[new Date(“2005-12-02”),10.462,10.46],[new Date(“2005-12-03”),10.453,10.45],[new Date(“2005-12-04”),10.453,10.45],[new Date(“2005-12-05”),10.476,10.48],[new Date(“2005-12-06”),10.424,10.42],[new Date(“2005-12-07”),10.435,10.44],[new Date(“2005-12-08”),10.501,10.50],[new Date(“2005-12-09”),10.586,10.59],[new Date(“2005-12-10”),10.582,10.58],[new Date(“2005-12-11”),10.582,10.58],[new Date(“2005-12-12”),10.622,10.62],[new Date(“2005-12-13”),10.658,10.66],[new Date(“2005-12-14”),10.700,10.70],[new Date(“2005-12-15”),10.743,10.74],[new Date(“2005-12-16”),10.764,10.76],[new Date(“2005-12-17”),10.757,10.76],[new Date(“2005-12-18”),10.757,10.76],[new Date(“2005-12-19”),10.740,10.74],[new Date(“2005-12-20”),10.687,10.69],[new Date(“2005-12-21”),10.646,10.65],[new Date(“2005-12-22”),10.644,10.64],[new Date(“2005-12-23”),10.671,10.67],[new Date(“2005-12-24”),10.667,10.67],[new Date(“2005-12-25”),10.667,10.67],[new Date(“2005-12-26”),10.667,10.67],[new Date(“2005-12-27”),10.721,10.72],[new Date(“2005-12-28”),10.746,10.75],[new Date(“2005-12-29”),10.719,10.72],[new Date(“2005-12-30”),10.664,10.66],[new Date(“2005-12-31″),10.688,10.69],]);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, 2005

01      10.7680
02      10.7526
↗0.015, 0.14%
03      10.7312
↗0.021, 0.20%
04      10.7457
↘0.015, 0.14%
05      10.7217
↗0.024, 0.22%
06      10.7217
→0.000, 0.00%
07      10.7139
↗0.008, 0.07%
08      10.7275
↘0.014, 0.13%
09      10.7063
↗0.021, 0.20%
10      10.7215
↘0.015, 0.14%
11      10.6784
↗0.043, 0.40%
12      10.6711
↗0.007, 0.07%
13      10.6711
→0.000, 0.00%
14      10.6932
↘0.022, 0.21%
15      10.6524
↗0.041, 0.38%
16      10.6385
↗0.014, 0.13%
17      10.6584
↘0.020, 0.19%
18      10.6523
↗0.006, 0.06%
19      10.6387
↗0.014, 0.13%
20      10.6387
→0.000, 0.00%
21      10.6402
↘0.002, 0.01%
22      10.6620
↘0.022, 0.20%
23      10.6196
↗0.042, 0.40%
24      10.6134
↗0.006, 0.06%
25      10.6082
↗0.005, 0.05%
26      10.6007
↗0.007, 0.07%
27      10.6007
→0.000, 0.00%
28      10.5754
↗0.025, 0.24%
29      10.5649
↗0.011, 0.10%
30      10.5823
↘0.017, 0.16%
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(“2005-11-01”),10.768,10.77],[new Date(“2005-11-02”),10.753,10.75],[new Date(“2005-11-03”),10.731,10.73],[new Date(“2005-11-04”),10.746,10.75],[new Date(“2005-11-05”),10.722,10.72],[new Date(“2005-11-06”),10.722,10.72],[new Date(“2005-11-07”),10.714,10.71],[new Date(“2005-11-08”),10.728,10.73],[new Date(“2005-11-09”),10.706,10.71],[new Date(“2005-11-10”),10.722,10.72],[new Date(“2005-11-11”),10.678,10.68],[new Date(“2005-11-12”),10.671,10.67],[new Date(“2005-11-13”),10.671,10.67],[new Date(“2005-11-14”),10.693,10.69],[new Date(“2005-11-15”),10.652,10.65],[new Date(“2005-11-16”),10.638,10.64],[new Date(“2005-11-17”),10.658,10.66],[new Date(“2005-11-18”),10.652,10.65],[new Date(“2005-11-19”),10.639,10.64],[new Date(“2005-11-20”),10.639,10.64],[new Date(“2005-11-21”),10.640,10.64],[new Date(“2005-11-22”),10.662,10.66],[new Date(“2005-11-23”),10.620,10.62],[new Date(“2005-11-24”),10.613,10.61],[new Date(“2005-11-25”),10.608,10.61],[new Date(“2005-11-26”),10.601,10.60],[new Date(“2005-11-27”),10.601,10.60],[new Date(“2005-11-28”),10.575,10.58],[new Date(“2005-11-29”),10.565,10.56],[new Date(“2005-11-30″),10.582,10.58],]);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, 2005

01      10.7761
02      10.7761
→0.000, 0.00%
03      10.7598
↗0.016, 0.15%
04      10.6889
↗0.071, 0.66%
05      10.7120
↘0.023, 0.22%
06      10.7682
↘0.056, 0.52%
07      10.8010
↘0.033, 0.30%
08      10.7943
↗0.007, 0.06%
09      10.7943
→0.000, 0.00%
10      10.7899
↗0.004, 0.04%
11      10.8016
↘0.012, 0.11%
12      10.8887
↘0.087, 0.81%
13      10.9452
↘0.057, 0.52%
14      10.9236
↗0.022, 0.20%
15      10.9052
↗0.018, 0.17%
16      10.9052
→0.000, 0.00%
17      10.8588
↗0.046, 0.43%
18      10.8372
↗0.022, 0.20%
19      10.8745
↘0.037, 0.34%
20      10.8481
↗0.026, 0.24%
21      10.8843
↘0.036, 0.33%
22      10.8775
↗0.007, 0.06%
23      10.8775
→0.000, 0.00%
24      10.8631
↗0.014, 0.13%
25      10.8482
↗0.015, 0.14%
26      10.8934
↘0.045, 0.42%
27      10.9134
↘0.020, 0.18%
28      10.8577
↗0.056, 0.51%
29      10.8517
↗0.006, 0.05%
30      10.8517
→0.000, 0.00%
31      10.8023
↗0.049, 0.46%
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(“2005-10-01”),10.776,10.78],[new Date(“2005-10-02”),10.776,10.78],[new Date(“2005-10-03”),10.760,10.76],[new Date(“2005-10-04”),10.689,10.69],[new Date(“2005-10-05”),10.712,10.71],[new Date(“2005-10-06”),10.768,10.77],[new Date(“2005-10-07”),10.801,10.80],[new Date(“2005-10-08”),10.794,10.79],[new Date(“2005-10-09”),10.794,10.79],[new Date(“2005-10-10”),10.790,10.79],[new Date(“2005-10-11”),10.802,10.80],[new Date(“2005-10-12”),10.889,10.89],[new Date(“2005-10-13”),10.945,10.95],[new Date(“2005-10-14”),10.924,10.92],[new Date(“2005-10-15”),10.905,10.91],[new Date(“2005-10-16”),10.905,10.91],[new Date(“2005-10-17”),10.859,10.86],[new Date(“2005-10-18”),10.837,10.84],[new Date(“2005-10-19”),10.875,10.87],[new Date(“2005-10-20”),10.848,10.85],[new Date(“2005-10-21”),10.884,10.88],[new Date(“2005-10-22”),10.877,10.88],[new Date(“2005-10-23”),10.877,10.88],[new Date(“2005-10-24”),10.863,10.86],[new Date(“2005-10-25”),10.848,10.85],[new Date(“2005-10-26”),10.893,10.89],[new Date(“2005-10-27”),10.913,10.91],[new Date(“2005-10-28”),10.858,10.86],[new Date(“2005-10-29”),10.852,10.85],[new Date(“2005-10-30”),10.852,10.85],[new Date(“2005-10-31″),10.802,10.80],]);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_10’));
chart.draw(data, options);
}

September, 2005

01      10.7325
02      10.7023
↗0.030, 0.28%
03      10.6980
↗0.004, 0.04%
04      10.6980
→0.000, 0.00%
05      10.6601
↗0.038, 0.35%
06      10.6861
↘0.026, 0.24%
07      10.6974
↘0.011, 0.11%
08      10.7136
↘0.016, 0.15%
09      10.7110
↗0.003, 0.02%
10      10.7076
↗0.003, 0.03%
11      10.7076
→0.000, 0.00%
12      10.6951
↗0.012, 0.12%
13      10.7414
↘0.046, 0.43%
14      10.8112
↘0.070, 0.65%
15      10.8137
↘0.002, 0.02%
16      10.8070
↗0.007, 0.06%
17      10.8226
↘0.016, 0.15%
18      10.8226
→0.000, 0.00%
19      10.8614
↘0.039, 0.36%
20      10.8186
↗0.043, 0.39%
21      10.7892
↗0.029, 0.27%
22      10.8317
↘0.042, 0.39%
23      10.8431
↘0.011, 0.11%
24      10.8452
↘0.002, 0.02%
25      10.8452
→0.000, 0.00%
26      10.8718
↘0.027, 0.25%
27      10.8969
↘0.025, 0.23%
28      10.8589
↗0.038, 0.35%
29      10.8186
↗0.040, 0.37%
30      10.7842
↗0.034, 0.32%
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(“2005-09-01”),10.732,10.73],[new Date(“2005-09-02”),10.702,10.70],[new Date(“2005-09-03”),10.698,10.70],[new Date(“2005-09-04”),10.698,10.70],[new Date(“2005-09-05”),10.660,10.66],[new Date(“2005-09-06”),10.686,10.69],[new Date(“2005-09-07”),10.697,10.70],[new Date(“2005-09-08”),10.714,10.71],[new Date(“2005-09-09”),10.711,10.71],[new Date(“2005-09-10”),10.708,10.71],[new Date(“2005-09-11”),10.708,10.71],[new Date(“2005-09-12”),10.695,10.70],[new Date(“2005-09-13”),10.741,10.74],[new Date(“2005-09-14”),10.811,10.81],[new Date(“2005-09-15”),10.814,10.81],[new Date(“2005-09-16”),10.807,10.81],[new Date(“2005-09-17”),10.823,10.82],[new Date(“2005-09-18”),10.823,10.82],[new Date(“2005-09-19”),10.861,10.86],[new Date(“2005-09-20”),10.819,10.82],[new Date(“2005-09-21”),10.789,10.79],[new Date(“2005-09-22”),10.832,10.83],[new Date(“2005-09-23”),10.843,10.84],[new Date(“2005-09-24”),10.845,10.85],[new Date(“2005-09-25”),10.845,10.85],[new Date(“2005-09-26”),10.872,10.87],[new Date(“2005-09-27”),10.897,10.90],[new Date(“2005-09-28”),10.859,10.86],[new Date(“2005-09-29”),10.819,10.82],[new Date(“2005-09-30″),10.784,10.78],]);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_9’));
chart.draw(data, options);
}

August, 2005

01      10.5922
02      10.5913
↗0.001, 0.01%
03      10.6060
↘0.015, 0.14%
04      10.5851
↗0.021, 0.20%
05      10.5958
↘0.011, 0.10%
06      10.6014
↘0.006, 0.05%
07      10.6014
→0.000, 0.00%
08      10.6072
↘0.006, 0.05%
09      10.6489
↘0.042, 0.39%
10      10.5891
↗0.060, 0.56%
11      10.5814
↗0.008, 0.07%
12      10.6398
↘0.058, 0.55%
13      10.6405
↘0.001, 0.01%
14      10.6405
→0.000, 0.00%
15      10.6149
↗0.026, 0.24%
16      10.5785
↗0.036, 0.34%
17      10.6154
↘0.037, 0.35%
18      10.6512
↘0.036, 0.34%
19      10.7402
↘0.089, 0.84%
20      10.7419
↘0.002, 0.02%
21      10.7419
→0.000, 0.00%
22      10.7295
↗0.012, 0.12%
23      10.7681
↘0.039, 0.36%
24      10.8714
↘0.103, 0.96%
25      10.8206
↗0.051, 0.47%
26      10.8284
↘0.008, 0.07%
27      10.8193
↗0.009, 0.08%
28      10.8193
→0.000, 0.00%
29      10.8731
↘0.054, 0.50%
30      10.8556
↗0.017, 0.16%
31      10.7987
↗0.057, 0.52%
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(“2005-08-01”),10.592,10.59],[new Date(“2005-08-02”),10.591,10.59],[new Date(“2005-08-03”),10.606,10.61],[new Date(“2005-08-04”),10.585,10.59],[new Date(“2005-08-05”),10.596,10.60],[new Date(“2005-08-06”),10.601,10.60],[new Date(“2005-08-07”),10.601,10.60],[new Date(“2005-08-08”),10.607,10.61],[new Date(“2005-08-09”),10.649,10.65],[new Date(“2005-08-10”),10.589,10.59],[new Date(“2005-08-11”),10.581,10.58],[new Date(“2005-08-12”),10.640,10.64],[new Date(“2005-08-13”),10.641,10.64],[new Date(“2005-08-14”),10.641,10.64],[new Date(“2005-08-15”),10.615,10.61],[new Date(“2005-08-16”),10.579,10.58],[new Date(“2005-08-17”),10.615,10.62],[new Date(“2005-08-18”),10.651,10.65],[new Date(“2005-08-19”),10.740,10.74],[new Date(“2005-08-20”),10.742,10.74],[new Date(“2005-08-21”),10.742,10.74],[new Date(“2005-08-22”),10.729,10.73],[new Date(“2005-08-23”),10.768,10.77],[new Date(“2005-08-24”),10.871,10.87],[new Date(“2005-08-25”),10.821,10.82],[new Date(“2005-08-26”),10.828,10.83],[new Date(“2005-08-27”),10.819,10.82],[new Date(“2005-08-28”),10.819,10.82],[new Date(“2005-08-29”),10.873,10.87],[new Date(“2005-08-30”),10.856,10.86],[new Date(“2005-08-31″),10.799,10.80],]);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, 2005

01      10.7368
02      10.7315
↗0.005, 0.05%
03      10.7315
→0.000, 0.00%
04      10.7379
↘0.006, 0.06%
05      10.7592
↘0.021, 0.20%
06      10.7712
↘0.012, 0.11%
07      10.8104
↘0.039, 0.36%
08      10.7589
↗0.051, 0.48%
09      10.7502
↗0.009, 0.08%
10      10.7502
→0.000, 0.00%
11      10.7233
↗0.027, 0.25%
12      10.6792
↗0.044, 0.41%
13      10.6848
↘0.006, 0.05%
14      10.6566
↗0.028, 0.26%
15      10.6341
↗0.023, 0.21%
16      10.6296
↗0.005, 0.04%
17      10.6296
→0.000, 0.00%
18      10.6097
↗0.020, 0.19%
19      10.6208
↘0.011, 0.11%
20      10.6329
↘0.012, 0.11%
21      10.5915
↗0.041, 0.39%
22      10.6315
↘0.040, 0.38%
23      10.6200
↗0.011, 0.11%
24      10.6200
→0.000, 0.00%
25      10.6693
↘0.049, 0.46%
26      10.7414
↘0.072, 0.68%
27      10.6450
↗0.096, 0.90%
28      10.6323
↗0.013, 0.12%
29      10.5974
↗0.035, 0.33%
30      10.5942
↗0.003, 0.03%
31      10.5942
→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(“2005-07-01”),10.737,10.74],[new Date(“2005-07-02”),10.732,10.73],[new Date(“2005-07-03”),10.732,10.73],[new Date(“2005-07-04”),10.738,10.74],[new Date(“2005-07-05”),10.759,10.76],[new Date(“2005-07-06”),10.771,10.77],[new Date(“2005-07-07”),10.810,10.81],[new Date(“2005-07-08”),10.759,10.76],[new Date(“2005-07-09”),10.750,10.75],[new Date(“2005-07-10”),10.750,10.75],[new Date(“2005-07-11”),10.723,10.72],[new Date(“2005-07-12”),10.679,10.68],[new Date(“2005-07-13”),10.685,10.68],[new Date(“2005-07-14”),10.657,10.66],[new Date(“2005-07-15”),10.634,10.63],[new Date(“2005-07-16”),10.630,10.63],[new Date(“2005-07-17”),10.630,10.63],[new Date(“2005-07-18”),10.610,10.61],[new Date(“2005-07-19”),10.621,10.62],[new Date(“2005-07-20”),10.633,10.63],[new Date(“2005-07-21”),10.591,10.59],[new Date(“2005-07-22”),10.631,10.63],[new Date(“2005-07-23”),10.620,10.62],[new Date(“2005-07-24”),10.620,10.62],[new Date(“2005-07-25”),10.669,10.67],[new Date(“2005-07-26”),10.741,10.74],[new Date(“2005-07-27”),10.645,10.65],[new Date(“2005-07-28”),10.632,10.63],[new Date(“2005-07-29”),10.597,10.60],[new Date(“2005-07-30”),10.594,10.59],[new Date(“2005-07-31″),10.594,10.59],]);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, 2005

01      10.8660
02      10.8237
↗0.042, 0.39%
03      10.8126
↗0.011, 0.10%
04      10.8102
↗0.002, 0.02%
05      10.8102
→0.000, 0.00%
06      10.8751
↘0.065, 0.60%
07      10.8579
↗0.017, 0.16%
08      10.8573
↗0.001, 0.01%
09      10.8881
↘0.031, 0.28%
10      10.8668
↗0.021, 0.20%
11      10.8638
↗0.003, 0.03%
12      10.8638
→0.000, 0.00%
13      10.8702
↘0.006, 0.06%
14      10.8424
↗0.028, 0.26%
15      10.8273
↗0.015, 0.14%
16      10.7922
↗0.035, 0.32%
17      10.7886
↗0.004, 0.03%
18      10.7978
↘0.009, 0.09%
19      10.7978
→0.000, 0.00%
20      10.8340
↘0.036, 0.34%
21      10.8128
↗0.021, 0.20%
22      10.7628
↗0.050, 0.46%
23      10.7729
↘0.010, 0.09%
24      10.7718
↗0.001, 0.01%
25      10.7703
↗0.001, 0.01%
26      10.7703
→0.000, 0.00%
27      10.7961
↘0.026, 0.24%
28      10.8479
↘0.052, 0.48%
29      10.7651
↗0.083, 0.76%
30      10.7619
↗0.003, 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(“2005-06-01”),10.866,10.87],[new Date(“2005-06-02”),10.824,10.82],[new Date(“2005-06-03”),10.813,10.81],[new Date(“2005-06-04”),10.810,10.81],[new Date(“2005-06-05”),10.810,10.81],[new Date(“2005-06-06”),10.875,10.88],[new Date(“2005-06-07”),10.858,10.86],[new Date(“2005-06-08”),10.857,10.86],[new Date(“2005-06-09”),10.888,10.89],[new Date(“2005-06-10”),10.867,10.87],[new Date(“2005-06-11”),10.864,10.86],[new Date(“2005-06-12”),10.864,10.86],[new Date(“2005-06-13”),10.870,10.87],[new Date(“2005-06-14”),10.842,10.84],[new Date(“2005-06-15”),10.827,10.83],[new Date(“2005-06-16”),10.792,10.79],[new Date(“2005-06-17”),10.789,10.79],[new Date(“2005-06-18”),10.798,10.80],[new Date(“2005-06-19”),10.798,10.80],[new Date(“2005-06-20”),10.834,10.83],[new Date(“2005-06-21”),10.813,10.81],[new Date(“2005-06-22”),10.763,10.76],[new Date(“2005-06-23”),10.773,10.77],[new Date(“2005-06-24”),10.772,10.77],[new Date(“2005-06-25”),10.770,10.77],[new Date(“2005-06-26”),10.770,10.77],[new Date(“2005-06-27”),10.796,10.80],[new Date(“2005-06-28”),10.848,10.85],[new Date(“2005-06-29”),10.765,10.77],[new Date(“2005-06-30″),10.762,10.76],]);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_6’));
chart.draw(data, options);
}

May, 2005

01      11.0709
02      11.0424
↗0.028, 0.26%
03      11.0300
↗0.012, 0.11%
04      10.9692
↗0.061, 0.55%
05      10.9495
↗0.020, 0.18%
06      10.9425
↗0.007, 0.06%
07      10.9430
↘0.001, 0.00%
08      10.9430
→0.000, 0.00%
09      10.9705
↘0.028, 0.25%
10      11.0082
↘0.038, 0.34%
11      11.0351
↘0.027, 0.24%
12      11.0125
↗0.023, 0.20%
13      11.0262
↘0.014, 0.12%
14      11.0278
↘0.002, 0.01%
15      11.0278
→0.000, 0.00%
16      11.0334
↘0.006, 0.05%
17      11.0038
↗0.030, 0.27%
18      10.9624
↗0.041, 0.38%
19      10.9004
↗0.062, 0.57%
20      10.9692
↘0.069, 0.63%
21      10.9684
↗0.001, 0.01%
22      10.9684
→0.000, 0.00%
23      10.9543
↗0.014, 0.13%
24      10.9624
↘0.008, 0.07%
25      10.9440
↗0.018, 0.17%
26      10.9600
↘0.016, 0.15%
27      10.9135
↗0.046, 0.42%
28      10.9082
↗0.005, 0.05%
29      10.9082
→0.000, 0.00%
30      10.8912
↗0.017, 0.16%
31      10.8951
↘0.004, 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(“2005-05-01”),11.071,11.07],[new Date(“2005-05-02”),11.042,11.04],[new Date(“2005-05-03”),11.030,11.03],[new Date(“2005-05-04”),10.969,10.97],[new Date(“2005-05-05”),10.949,10.95],[new Date(“2005-05-06”),10.943,10.94],[new Date(“2005-05-07”),10.943,10.94],[new Date(“2005-05-08”),10.943,10.94],[new Date(“2005-05-09”),10.971,10.97],[new Date(“2005-05-10”),11.008,11.01],[new Date(“2005-05-11”),11.035,11.04],[new Date(“2005-05-12”),11.013,11.01],[new Date(“2005-05-13”),11.026,11.03],[new Date(“2005-05-14”),11.028,11.03],[new Date(“2005-05-15”),11.028,11.03],[new Date(“2005-05-16”),11.033,11.03],[new Date(“2005-05-17”),11.004,11.00],[new Date(“2005-05-18”),10.962,10.96],[new Date(“2005-05-19”),10.900,10.90],[new Date(“2005-05-20”),10.969,10.97],[new Date(“2005-05-21”),10.968,10.97],[new Date(“2005-05-22”),10.968,10.97],[new Date(“2005-05-23”),10.954,10.95],[new Date(“2005-05-24”),10.962,10.96],[new Date(“2005-05-25”),10.944,10.94],[new Date(“2005-05-26”),10.960,10.96],[new Date(“2005-05-27”),10.913,10.91],[new Date(“2005-05-28”),10.908,10.91],[new Date(“2005-05-29”),10.908,10.91],[new Date(“2005-05-30”),10.891,10.89],[new Date(“2005-05-31″),10.895,10.90],]);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, 2005

01      11.1750
02      11.1698
↗0.005, 0.05%
03      11.1698
→0.000, 0.00%
04      11.1991
↘0.029, 0.26%
05      11.2118
↘0.013, 0.11%
06      11.2306
↘0.019, 0.17%
07      11.1931
↗0.038, 0.33%
08      11.1505
↗0.043, 0.38%
09      11.1482
↗0.002, 0.02%
10      11.1482
→0.000, 0.00%
11      11.0865
↗0.062, 0.55%
12      11.1065
↘0.020, 0.18%
13      11.0664
↗0.040, 0.36%
14      11.1006
↘0.034, 0.31%
15      11.1183
↘0.018, 0.16%
16      11.1240
↘0.006, 0.05%
17      11.1240
→0.000, 0.00%
18      11.1267
↘0.003, 0.02%
19      11.0877
↗0.039, 0.35%
20      11.0645
↗0.023, 0.21%
21      11.0558
↗0.009, 0.08%
22      11.0288
↗0.027, 0.24%
23      11.0319
↘0.003, 0.03%
24      11.0319
→0.000, 0.00%
25      11.0648
↘0.033, 0.30%
26      11.0559
↗0.009, 0.08%
27      11.0978
↘0.042, 0.38%
28      11.1278
↘0.030, 0.27%
29      11.0805
↗0.047, 0.43%
30      11.0709
↗0.010, 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(“2005-04-01”),11.175,11.17],[new Date(“2005-04-02”),11.170,11.17],[new Date(“2005-04-03”),11.170,11.17],[new Date(“2005-04-04”),11.199,11.20],[new Date(“2005-04-05”),11.212,11.21],[new Date(“2005-04-06”),11.231,11.23],[new Date(“2005-04-07”),11.193,11.19],[new Date(“2005-04-08”),11.150,11.15],[new Date(“2005-04-09”),11.148,11.15],[new Date(“2005-04-10”),11.148,11.15],[new Date(“2005-04-11”),11.087,11.09],[new Date(“2005-04-12”),11.107,11.11],[new Date(“2005-04-13”),11.066,11.07],[new Date(“2005-04-14”),11.101,11.10],[new Date(“2005-04-15”),11.118,11.12],[new Date(“2005-04-16”),11.124,11.12],[new Date(“2005-04-17”),11.124,11.12],[new Date(“2005-04-18”),11.127,11.13],[new Date(“2005-04-19”),11.088,11.09],[new Date(“2005-04-20”),11.064,11.06],[new Date(“2005-04-21”),11.056,11.06],[new Date(“2005-04-22”),11.029,11.03],[new Date(“2005-04-23”),11.032,11.03],[new Date(“2005-04-24”),11.032,11.03],[new Date(“2005-04-25”),11.065,11.06],[new Date(“2005-04-26”),11.056,11.06],[new Date(“2005-04-27”),11.098,11.10],[new Date(“2005-04-28”),11.128,11.13],[new Date(“2005-04-29”),11.081,11.08],[new Date(“2005-04-30″),11.071,11.07],]);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, 2005

01      11.1026
02      11.1165
↘0.014, 0.12%
03      11.0839
↗0.033, 0.29%
04      11.0690
↗0.015, 0.13%
05      11.0446
↗0.024, 0.22%
06      11.0446
→0.000, 0.00%
07      11.0289
↗0.016, 0.14%
08      10.9973
↗0.032, 0.29%
09      11.0051
↘0.008, 0.07%
10      11.0434
↘0.038, 0.35%
11      11.0246
↗0.019, 0.17%
12      11.0429
↘0.018, 0.17%
13      11.0429
→0.000, 0.00%
14      11.1279
↘0.085, 0.77%
15      11.1800
↘0.052, 0.47%
16      11.2246
↘0.045, 0.40%
17      11.2309
↘0.006, 0.06%
18      11.1914
↗0.040, 0.35%
19      11.1781
↗0.013, 0.12%
20      11.1781
→0.000, 0.00%
21      11.2276
↘0.050, 0.44%
22      11.2125
↗0.015, 0.13%
23      11.2516
↘0.039, 0.35%
24      11.2705
↘0.019, 0.17%
25      11.2679
↗0.003, 0.02%
26      11.2639
↗0.004, 0.04%
27      11.2639
→0.000, 0.00%
28      11.3057
↘0.042, 0.37%
29      11.2846
↗0.021, 0.19%
30      11.2333
↗0.051, 0.45%
31      11.1838
↗0.049, 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(“2005-03-01”),11.103,11.10],[new Date(“2005-03-02”),11.116,11.12],[new Date(“2005-03-03”),11.084,11.08],[new Date(“2005-03-04”),11.069,11.07],[new Date(“2005-03-05”),11.045,11.04],[new Date(“2005-03-06”),11.045,11.04],[new Date(“2005-03-07”),11.029,11.03],[new Date(“2005-03-08”),10.997,11.00],[new Date(“2005-03-09”),11.005,11.01],[new Date(“2005-03-10”),11.043,11.04],[new Date(“2005-03-11”),11.025,11.02],[new Date(“2005-03-12”),11.043,11.04],[new Date(“2005-03-13”),11.043,11.04],[new Date(“2005-03-14”),11.128,11.13],[new Date(“2005-03-15”),11.180,11.18],[new Date(“2005-03-16”),11.225,11.22],[new Date(“2005-03-17”),11.231,11.23],[new Date(“2005-03-18”),11.191,11.19],[new Date(“2005-03-19”),11.178,11.18],[new Date(“2005-03-20”),11.178,11.18],[new Date(“2005-03-21”),11.228,11.23],[new Date(“2005-03-22”),11.212,11.21],[new Date(“2005-03-23”),11.252,11.25],[new Date(“2005-03-24”),11.270,11.27],[new Date(“2005-03-25”),11.268,11.27],[new Date(“2005-03-26”),11.264,11.26],[new Date(“2005-03-27”),11.264,11.26],[new Date(“2005-03-28”),11.306,11.31],[new Date(“2005-03-29”),11.285,11.28],[new Date(“2005-03-30”),11.233,11.23],[new Date(“2005-03-31″),11.184,11.18],]);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_3’));
chart.draw(data, options);
}

February, 2005

01      11.1715
02      11.1647
↗0.007, 0.06%
03      11.1614
↗0.003, 0.03%
04      11.1519
↗0.009, 0.09%
05      11.1493
↗0.003, 0.02%
06      11.1493
→0.000, 0.00%
07      11.1737
↘0.024, 0.22%
08      11.2105
↘0.037, 0.33%
09      11.1981
↗0.012, 0.11%
10      11.1632
↗0.035, 0.31%
11      11.1543
↗0.009, 0.08%
12      11.1486
↗0.006, 0.05%
13      11.1486
→0.000, 0.00%
14      11.1425
↗0.006, 0.05%
15      11.1499
↘0.007, 0.07%
16      11.1637
↘0.014, 0.12%
17      11.1334
↗0.030, 0.27%
18      11.0735
↗0.060, 0.54%
19      11.0671
↗0.006, 0.06%
20      11.0671
→0.000, 0.00%
21      11.0625
↗0.005, 0.04%
22      11.0440
↗0.019, 0.17%
23      11.0913
↘0.047, 0.43%
24      11.1009
↘0.010, 0.09%
25      11.1183
↘0.017, 0.16%
26      11.1091
↗0.009, 0.08%
27      11.1091
→0.000, 0.00%
28      11.0877
↗0.021, 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(“2005-02-01”),11.172,11.17],[new Date(“2005-02-02”),11.165,11.16],[new Date(“2005-02-03”),11.161,11.16],[new Date(“2005-02-04”),11.152,11.15],[new Date(“2005-02-05”),11.149,11.15],[new Date(“2005-02-06”),11.149,11.15],[new Date(“2005-02-07”),11.174,11.17],[new Date(“2005-02-08”),11.211,11.21],[new Date(“2005-02-09”),11.198,11.20],[new Date(“2005-02-10”),11.163,11.16],[new Date(“2005-02-11”),11.154,11.15],[new Date(“2005-02-12”),11.149,11.15],[new Date(“2005-02-13”),11.149,11.15],[new Date(“2005-02-14”),11.143,11.14],[new Date(“2005-02-15”),11.150,11.15],[new Date(“2005-02-16”),11.164,11.16],[new Date(“2005-02-17”),11.133,11.13],[new Date(“2005-02-18”),11.073,11.07],[new Date(“2005-02-19”),11.067,11.07],[new Date(“2005-02-20”),11.067,11.07],[new Date(“2005-02-21”),11.063,11.06],[new Date(“2005-02-22”),11.044,11.04],[new Date(“2005-02-23”),11.091,11.09],[new Date(“2005-02-24”),11.101,11.10],[new Date(“2005-02-25”),11.118,11.12],[new Date(“2005-02-26”),11.109,11.11],[new Date(“2005-02-27”),11.109,11.11],[new Date(“2005-02-28″),11.088,11.09],]);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, 2005

01      11.1494
02      11.1494
→0.000, 0.00%
03      11.1931
↘0.044, 0.39%
04      11.3012
↘0.108, 0.97%
05      11.3651
↘0.064, 0.56%
06      11.3919
↘0.027, 0.24%
07      11.3483
↗0.044, 0.38%
08      11.3119
↗0.036, 0.32%
09      11.3119
→0.000, 0.00%
10      11.2631
↗0.049, 0.43%
11      11.2242
↗0.039, 0.34%
12      11.1789
↗0.045, 0.40%
13      11.1962
↘0.017, 0.16%
14      11.2412
↘0.045, 0.40%
15      11.2290
↗0.012, 0.11%
16      11.2290
→0.000, 0.00%
17      11.2130
↗0.016, 0.14%
18      11.2487
↘0.036, 0.32%
19      11.2339
↗0.015, 0.13%
20      11.2529
↘0.019, 0.17%
21      11.2622
↘0.009, 0.08%
22      11.2625
↘0.000, 0.00%
23      11.2625
→0.000, 0.00%
24      11.2420
↗0.021, 0.18%
25      11.2873
↘0.045, 0.40%
26      11.2713
↗0.016, 0.14%
27      11.2941
↘0.023, 0.20%
28      11.2616
↗0.033, 0.29%
29      11.2533
↗0.008, 0.07%
30      11.2533
→0.000, 0.00%
31      11.2196
↗0.034, 0.30%
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(“2005-01-01”),11.149,11.15],[new Date(“2005-01-02”),11.149,11.15],[new Date(“2005-01-03”),11.193,11.19],[new Date(“2005-01-04”),11.301,11.30],[new Date(“2005-01-05”),11.365,11.37],[new Date(“2005-01-06”),11.392,11.39],[new Date(“2005-01-07”),11.348,11.35],[new Date(“2005-01-08”),11.312,11.31],[new Date(“2005-01-09”),11.312,11.31],[new Date(“2005-01-10”),11.263,11.26],[new Date(“2005-01-11”),11.224,11.22],[new Date(“2005-01-12”),11.179,11.18],[new Date(“2005-01-13”),11.196,11.20],[new Date(“2005-01-14”),11.241,11.24],[new Date(“2005-01-15”),11.229,11.23],[new Date(“2005-01-16”),11.229,11.23],[new Date(“2005-01-17”),11.213,11.21],[new Date(“2005-01-18”),11.249,11.25],[new Date(“2005-01-19”),11.234,11.23],[new Date(“2005-01-20”),11.253,11.25],[new Date(“2005-01-21”),11.262,11.26],[new Date(“2005-01-22”),11.262,11.26],[new Date(“2005-01-23”),11.262,11.26],[new Date(“2005-01-24”),11.242,11.24],[new Date(“2005-01-25”),11.287,11.29],[new Date(“2005-01-26”),11.271,11.27],[new Date(“2005-01-27”),11.294,11.29],[new Date(“2005-01-28”),11.262,11.26],[new Date(“2005-01-29”),11.253,11.25],[new Date(“2005-01-30”),11.253,11.25],[new Date(“2005-01-31″),11.220,11.22],]);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);
}