Mexican Peso MXN 2019 Conversion Rates

  • Opening Value is 19.633745 MXN per Dollar
  • Closing Value is 18.932399 MXN per Dollar
  • Change in Value during 2019 is -0.7013 which is -3.57%
  • Best Performance is on 2019-04-12,2019-04-13 with 18.756604 MXN per Dollar
  • Lowest Performance is on 2019-08-28 with 20.154399 MXN per Dollar
  • Average Value is 19.2475 MXN per Dollar
  • Swing Between the higest and the lowest is 1.3978 per Dollar, that is 7.12% compared to the opening value.

USD to MXN Conversion Rates – 12 months

Date 1 USD =
2019-12-31 18.9324 MXN
2019-11-30 19.5451 MXN
2019-10-31 19.2393 MXN
2019-09-30 19.7374 MXN
2019-08-31 20.0675 MXN
2019-07-31 19.1515 MXN
2019-06-30 19.1520 MXN
2019-05-31 19.6155 MXN
2019-04-30 18.9416 MXN
2019-03-31 19.3444 MXN
2019-02-28 19.2777 MXN
2019-01-31 19.1081 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(“2019-12-31”),18.932,18.93],[new Date(“2019-11-30”),19.545,19.55],[new Date(“2019-10-31”),19.239,19.24],[new Date(“2019-09-30”),19.737,19.74],[new Date(“2019-08-31”),20.068,20.07],[new Date(“2019-07-31”),19.152,19.15],[new Date(“2019-06-30”),19.152,19.15],[new Date(“2019-05-31”),19.616,19.62],[new Date(“2019-04-30”),18.942,18.94],[new Date(“2019-03-31”),19.344,19.34],[new Date(“2019-02-28”),19.278,19.28],[new Date(“2019-01-31”),19.108,19.11],]);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, 2019

01      19.5393
02      19.5779
↘0.039, 0.20%
03      19.5645
↗0.013, 0.07%
04      19.4461
↗0.118, 0.61%
05      19.3735
↗0.073, 0.37%
06      19.2947
↗0.079, 0.41%
07      19.2947
→0.000, 0.00%
08      19.2573
↗0.037, 0.19%
09      19.2344
↗0.023, 0.12%
10      19.2649
↘0.031, 0.16%
11      19.1163
↗0.149, 0.77%
12      18.9970
↗0.119, 0.62%
13      19.0125
↘0.016, 0.08%
14      19.0125
→0.000, 0.00%
15      19.0368
↘0.024, 0.13%
16      18.9390
↗0.098, 0.51%
17      18.9201
↗0.019, 0.10%
18      18.9905
↘0.070, 0.37%
19      18.9240
↗0.066, 0.35%
20      18.9418
↘0.018, 0.09%
21      18.9418
→0.000, 0.00%
22      18.9440
↘0.002, 0.01%
23      18.9495
↘0.006, 0.03%
24      18.9777
↘0.028, 0.15%
25      18.9671
↗0.011, 0.06%
26      18.9435
↗0.024, 0.12%
27      18.8464
↗0.097, 0.51%
28      18.8464
→0.000, 0.00%
29      18.8329
↗0.013, 0.07%
30      18.9327
↘0.100, 0.53%
31      18.9324
↗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(“2019-12-01”),19.539,19.54],[new Date(“2019-12-02”),19.578,19.58],[new Date(“2019-12-03”),19.565,19.56],[new Date(“2019-12-04”),19.446,19.45],[new Date(“2019-12-05”),19.373,19.37],[new Date(“2019-12-06”),19.295,19.29],[new Date(“2019-12-07”),19.295,19.29],[new Date(“2019-12-08”),19.257,19.26],[new Date(“2019-12-09”),19.234,19.23],[new Date(“2019-12-10”),19.265,19.26],[new Date(“2019-12-11”),19.116,19.12],[new Date(“2019-12-12”),18.997,19.00],[new Date(“2019-12-13”),19.013,19.01],[new Date(“2019-12-14”),19.013,19.01],[new Date(“2019-12-15”),19.037,19.04],[new Date(“2019-12-16”),18.939,18.94],[new Date(“2019-12-17”),18.920,18.92],[new Date(“2019-12-18”),18.990,18.99],[new Date(“2019-12-19”),18.924,18.92],[new Date(“2019-12-20”),18.942,18.94],[new Date(“2019-12-21”),18.942,18.94],[new Date(“2019-12-22”),18.944,18.94],[new Date(“2019-12-23”),18.950,18.95],[new Date(“2019-12-24”),18.978,18.98],[new Date(“2019-12-25”),18.967,18.97],[new Date(“2019-12-26”),18.944,18.94],[new Date(“2019-12-27”),18.846,18.85],[new Date(“2019-12-28”),18.846,18.85],[new Date(“2019-12-29”),18.833,18.83],[new Date(“2019-12-30”),18.933,18.93],[new Date(“2019-12-31″),18.932,18.93],]);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, 2019

01      19.1104
02      19.1117
↘0.001, 0.01%
03      19.1101
↗0.002, 0.01%
04      19.1711
↘0.061, 0.32%
05      19.2018
↘0.031, 0.16%
06      19.1657
↗0.036, 0.19%
07      19.1366
↗0.029, 0.15%
08      19.1054
↗0.031, 0.16%
09      19.1054
→0.000, 0.00%
10      19.1109
↘0.006, 0.03%
11      19.1265
↘0.016, 0.08%
12      19.3137
↘0.187, 0.98%
13      19.3677
↘0.054, 0.28%
14      19.3277
↗0.040, 0.21%
15      19.1790
↗0.149, 0.77%
16      19.1826
↘0.004, 0.02%
17      19.2020
↘0.019, 0.10%
18      19.3227
↘0.121, 0.63%
19      19.3610
↘0.038, 0.20%
20      19.4847
↘0.124, 0.64%
21      19.3899
↗0.095, 0.49%
22      19.3763
↗0.014, 0.07%
23      19.3763
→0.000, 0.00%
24      19.3603
↗0.016, 0.08%
25      19.4477
↘0.087, 0.45%
26      19.5223
↘0.075, 0.38%
27      19.5572
↘0.035, 0.18%
28      19.4940
↗0.063, 0.32%
29      19.5447
↘0.051, 0.26%
30      19.5451
↘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(“2019-11-01”),19.110,19.11],[new Date(“2019-11-02”),19.112,19.11],[new Date(“2019-11-03”),19.110,19.11],[new Date(“2019-11-04”),19.171,19.17],[new Date(“2019-11-05”),19.202,19.20],[new Date(“2019-11-06”),19.166,19.17],[new Date(“2019-11-07”),19.137,19.14],[new Date(“2019-11-08”),19.105,19.11],[new Date(“2019-11-09”),19.105,19.11],[new Date(“2019-11-10”),19.111,19.11],[new Date(“2019-11-11”),19.127,19.13],[new Date(“2019-11-12”),19.314,19.31],[new Date(“2019-11-13”),19.368,19.37],[new Date(“2019-11-14”),19.328,19.33],[new Date(“2019-11-15”),19.179,19.18],[new Date(“2019-11-16”),19.183,19.18],[new Date(“2019-11-17”),19.202,19.20],[new Date(“2019-11-18”),19.323,19.32],[new Date(“2019-11-19”),19.361,19.36],[new Date(“2019-11-20”),19.485,19.48],[new Date(“2019-11-21”),19.390,19.39],[new Date(“2019-11-22”),19.376,19.38],[new Date(“2019-11-23”),19.376,19.38],[new Date(“2019-11-24”),19.360,19.36],[new Date(“2019-11-25”),19.448,19.45],[new Date(“2019-11-26”),19.522,19.52],[new Date(“2019-11-27”),19.557,19.56],[new Date(“2019-11-28”),19.494,19.49],[new Date(“2019-11-29”),19.545,19.54],[new Date(“2019-11-30″),19.545,19.55],]);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, 2019

01      19.8188
02      19.7987
↗0.020, 0.10%
03      19.6556
↗0.143, 0.72%
04      19.5153
↗0.140, 0.71%
05      19.5153
→0.000, 0.00%
06      19.5358
↘0.021, 0.11%
07      19.5743
↘0.038, 0.20%
08      19.6279
↘0.054, 0.27%
09      19.5999
↗0.028, 0.14%
10      19.4497
↗0.150, 0.77%
11      19.3094
↗0.140, 0.72%
12      19.3094
→0.000, 0.00%
13      19.3231
↘0.014, 0.07%
14      19.2719
↗0.051, 0.27%
15      19.2332
↗0.039, 0.20%
16      19.2099
↗0.023, 0.12%
17      19.1948
↗0.015, 0.08%
18      19.1040
↗0.091, 0.47%
19      19.1040
→0.000, 0.00%
20      19.1327
↘0.029, 0.15%
21      19.1243
↗0.008, 0.04%
22      19.1432
↘0.019, 0.10%
23      19.1166
↗0.027, 0.14%
24      19.1329
↘0.016, 0.09%
25      19.0617
↗0.071, 0.37%
26      19.0617
→0.000, 0.00%
27      19.0543
↗0.007, 0.04%
28      19.1116
↘0.057, 0.30%
29      19.1222
↘0.011, 0.06%
30      19.0954
↗0.027, 0.14%
31      19.2393
↘0.144, 0.75%
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(“2019-10-01”),19.819,19.82],[new Date(“2019-10-02”),19.799,19.80],[new Date(“2019-10-03”),19.656,19.66],[new Date(“2019-10-04”),19.515,19.52],[new Date(“2019-10-05”),19.515,19.52],[new Date(“2019-10-06”),19.536,19.54],[new Date(“2019-10-07”),19.574,19.57],[new Date(“2019-10-08”),19.628,19.63],[new Date(“2019-10-09”),19.600,19.60],[new Date(“2019-10-10”),19.450,19.45],[new Date(“2019-10-11”),19.309,19.31],[new Date(“2019-10-12”),19.309,19.31],[new Date(“2019-10-13”),19.323,19.32],[new Date(“2019-10-14”),19.272,19.27],[new Date(“2019-10-15”),19.233,19.23],[new Date(“2019-10-16”),19.210,19.21],[new Date(“2019-10-17”),19.195,19.19],[new Date(“2019-10-18”),19.104,19.10],[new Date(“2019-10-19”),19.104,19.10],[new Date(“2019-10-20”),19.133,19.13],[new Date(“2019-10-21”),19.124,19.12],[new Date(“2019-10-22”),19.143,19.14],[new Date(“2019-10-23”),19.117,19.12],[new Date(“2019-10-24”),19.133,19.13],[new Date(“2019-10-25”),19.062,19.06],[new Date(“2019-10-26”),19.062,19.06],[new Date(“2019-10-27”),19.054,19.05],[new Date(“2019-10-28”),19.112,19.11],[new Date(“2019-10-29”),19.122,19.12],[new Date(“2019-10-30”),19.095,19.10],[new Date(“2019-10-31″),19.239,19.24],]);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, 2019

01      20.1088
02      20.1286
↘0.020, 0.10%
03      19.9757
↗0.153, 0.76%
04      19.7007
↗0.275, 1.38%
05      19.7207
↘0.020, 0.10%
06      19.5371
↗0.184, 0.93%
07      19.5371
→0.000, 0.00%
08      19.5441
↘0.007, 0.04%
09      19.5705
↘0.026, 0.13%
10      19.5070
↗0.064, 0.32%
11      19.5019
↗0.005, 0.03%
12      19.4327
↗0.069, 0.35%
13      19.4080
↗0.025, 0.13%
14      19.4080
→0.000, 0.00%
15      19.4131
↘0.005, 0.03%
16      19.4374
↘0.024, 0.13%
17      19.3678
↗0.070, 0.36%
18      19.4117
↘0.044, 0.23%
19      19.4442
↘0.032, 0.17%
20      19.4508
↘0.007, 0.03%
21      19.4508
→0.000, 0.00%
22      19.4339
↗0.017, 0.09%
23      19.4910
↘0.057, 0.29%
24      19.4507
↗0.040, 0.21%
25      19.5701
↘0.119, 0.61%
26      19.6595
↘0.089, 0.46%
27      19.6914
↘0.032, 0.16%
28      19.6914
→0.000, 0.00%
29      19.6937
↘0.002, 0.01%
30      19.7374
↘0.044, 0.22%
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(“2019-09-01”),20.109,20.11],[new Date(“2019-09-02”),20.129,20.13],[new Date(“2019-09-03”),19.976,19.98],[new Date(“2019-09-04”),19.701,19.70],[new Date(“2019-09-05”),19.721,19.72],[new Date(“2019-09-06”),19.537,19.54],[new Date(“2019-09-07”),19.537,19.54],[new Date(“2019-09-08”),19.544,19.54],[new Date(“2019-09-09”),19.571,19.57],[new Date(“2019-09-10”),19.507,19.51],[new Date(“2019-09-11”),19.502,19.50],[new Date(“2019-09-12”),19.433,19.43],[new Date(“2019-09-13”),19.408,19.41],[new Date(“2019-09-14”),19.408,19.41],[new Date(“2019-09-15”),19.413,19.41],[new Date(“2019-09-16”),19.437,19.44],[new Date(“2019-09-17”),19.368,19.37],[new Date(“2019-09-18”),19.412,19.41],[new Date(“2019-09-19”),19.444,19.44],[new Date(“2019-09-20”),19.451,19.45],[new Date(“2019-09-21”),19.451,19.45],[new Date(“2019-09-22”),19.434,19.43],[new Date(“2019-09-23”),19.491,19.49],[new Date(“2019-09-24”),19.451,19.45],[new Date(“2019-09-25”),19.570,19.57],[new Date(“2019-09-26”),19.660,19.66],[new Date(“2019-09-27”),19.691,19.69],[new Date(“2019-09-28”),19.691,19.69],[new Date(“2019-09-29”),19.694,19.69],[new Date(“2019-09-30″),19.737,19.74],]);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, 2019

01      19.2253
02      19.3066
↘0.081, 0.42%
03      19.3066
→0.000, 0.00%
04      19.3417
↘0.035, 0.18%
05      19.6953
↘0.354, 1.83%
06      19.6009
↗0.094, 0.48%
07      19.6473
↘0.046, 0.24%
08      19.4302
↗0.217, 1.11%
09      19.4104
↗0.020, 0.10%
10      19.4104
→0.000, 0.00%
11      19.4282
↘0.018, 0.09%
12      19.5881
↘0.160, 0.82%
13      19.3822
↗0.206, 1.05%
14      19.6582
↘0.276, 1.42%
15      19.6136
↗0.045, 0.23%
16      19.6598
↘0.046, 0.24%
17      19.6598
→0.000, 0.00%
18      19.6373
↗0.023, 0.11%
19      19.8757
↘0.238, 1.21%
20      19.7655
↗0.110, 0.55%
21      19.6869
↗0.079, 0.40%
22      19.8147
↘0.128, 0.65%
23      19.9222
↘0.108, 0.54%
24      19.9222
→0.000, 0.00%
25      20.0193
↘0.097, 0.49%
26      19.9384
↗0.081, 0.40%
27      19.9891
↘0.051, 0.25%
28      20.1544
↘0.165, 0.83%
29      20.1358
↗0.019, 0.09%
30      20.0675
↗0.068, 0.34%
31      20.0675
→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(“2019-08-01”),19.225,19.23],[new Date(“2019-08-02”),19.307,19.31],[new Date(“2019-08-03”),19.307,19.31],[new Date(“2019-08-04”),19.342,19.34],[new Date(“2019-08-05”),19.695,19.70],[new Date(“2019-08-06”),19.601,19.60],[new Date(“2019-08-07”),19.647,19.65],[new Date(“2019-08-08”),19.430,19.43],[new Date(“2019-08-09”),19.410,19.41],[new Date(“2019-08-10”),19.410,19.41],[new Date(“2019-08-11”),19.428,19.43],[new Date(“2019-08-12”),19.588,19.59],[new Date(“2019-08-13”),19.382,19.38],[new Date(“2019-08-14”),19.658,19.66],[new Date(“2019-08-15”),19.614,19.61],[new Date(“2019-08-16”),19.660,19.66],[new Date(“2019-08-17”),19.660,19.66],[new Date(“2019-08-18”),19.637,19.64],[new Date(“2019-08-19”),19.876,19.88],[new Date(“2019-08-20”),19.765,19.77],[new Date(“2019-08-21”),19.687,19.69],[new Date(“2019-08-22”),19.815,19.81],[new Date(“2019-08-23”),19.922,19.92],[new Date(“2019-08-24”),19.922,19.92],[new Date(“2019-08-25”),20.019,20.02],[new Date(“2019-08-26”),19.938,19.94],[new Date(“2019-08-27”),19.989,19.99],[new Date(“2019-08-28”),20.154,20.15],[new Date(“2019-08-29”),20.136,20.14],[new Date(“2019-08-30”),20.068,20.07],[new Date(“2019-08-31″),20.068,20.07],]);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_8’));
chart.draw(data, options);
}

July, 2019

01      19.1024
02      19.0590
↗0.043, 0.23%
03      19.0188
↗0.040, 0.21%
04      19.0063
↗0.012, 0.07%
05      19.0118
↘0.005, 0.03%
06      19.0118
→0.000, 0.00%
07      19.0099
↗0.002, 0.01%
08      18.9376
↗0.072, 0.38%
09      19.1630
↘0.225, 1.19%
10      19.1435
↗0.019, 0.10%
11      19.0698
↗0.074, 0.39%
12      18.9883
↗0.081, 0.43%
13      18.9883
→0.000, 0.00%
14      18.9915
↘0.003, 0.02%
15      18.9810
↗0.010, 0.06%
16      19.1046
↘0.124, 0.65%
17      19.0729
↗0.032, 0.17%
18      18.9717
↗0.101, 0.53%
19      19.0229
↘0.051, 0.27%
20      19.0229
→0.000, 0.00%
21      19.0276
↘0.005, 0.02%
22      19.0542
↘0.027, 0.14%
23      19.1834
↘0.129, 0.68%
24      19.0734
↗0.110, 0.57%
25      19.0289
↗0.045, 0.23%
26      19.0438
↘0.015, 0.08%
27      19.0438
→0.000, 0.00%
28      19.0343
↗0.009, 0.05%
29      19.0617
↘0.027, 0.14%
30      19.0704
↘0.009, 0.05%
31      19.1515
↘0.081, 0.43%
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(“2019-07-01”),19.102,19.10],[new Date(“2019-07-02”),19.059,19.06],[new Date(“2019-07-03”),19.019,19.02],[new Date(“2019-07-04”),19.006,19.01],[new Date(“2019-07-05”),19.012,19.01],[new Date(“2019-07-06”),19.012,19.01],[new Date(“2019-07-07”),19.010,19.01],[new Date(“2019-07-08”),18.938,18.94],[new Date(“2019-07-09”),19.163,19.16],[new Date(“2019-07-10”),19.143,19.14],[new Date(“2019-07-11”),19.070,19.07],[new Date(“2019-07-12”),18.988,18.99],[new Date(“2019-07-13”),18.988,18.99],[new Date(“2019-07-14”),18.991,18.99],[new Date(“2019-07-15”),18.981,18.98],[new Date(“2019-07-16”),19.105,19.10],[new Date(“2019-07-17”),19.073,19.07],[new Date(“2019-07-18”),18.972,18.97],[new Date(“2019-07-19”),19.023,19.02],[new Date(“2019-07-20”),19.023,19.02],[new Date(“2019-07-21”),19.028,19.03],[new Date(“2019-07-22”),19.054,19.05],[new Date(“2019-07-23”),19.183,19.18],[new Date(“2019-07-24”),19.073,19.07],[new Date(“2019-07-25”),19.029,19.03],[new Date(“2019-07-26”),19.044,19.04],[new Date(“2019-07-27”),19.044,19.04],[new Date(“2019-07-28”),19.034,19.03],[new Date(“2019-07-29”),19.062,19.06],[new Date(“2019-07-30”),19.070,19.07],[new Date(“2019-07-31″),19.152,19.15],]);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, 2019

01      19.6155
02      19.6298
↘0.014, 0.07%
03      19.8071
↘0.177, 0.90%
04      19.5706
↗0.236, 1.19%
05      19.7530
↘0.182, 0.93%
06      19.6780
↗0.075, 0.38%
07      19.6173
↗0.061, 0.31%
08      19.6173
→0.000, 0.00%
09      19.2941
↗0.323, 1.65%
10      19.2082
↗0.086, 0.45%
11      19.1211
↗0.087, 0.45%
12      19.1748
↘0.054, 0.28%
13      19.1961
↘0.021, 0.11%
14      19.1540
↗0.042, 0.22%
15      19.1540
→0.000, 0.00%
16      19.1464
↗0.008, 0.04%
17      19.1812
↘0.035, 0.18%
18      19.1266
↗0.055, 0.28%
19      19.0224
↗0.104, 0.54%
20      19.0039
↗0.019, 0.10%
21      19.1245
↘0.121, 0.63%
22      19.1245
→0.000, 0.00%
23      19.1028
↗0.022, 0.11%
24      19.2099
↘0.107, 0.56%
25      19.2330
↘0.023, 0.12%
26      19.1399
↗0.093, 0.48%
27      19.1762
↘0.036, 0.19%
28      19.2297
↘0.053, 0.28%
29      19.2297
→0.000, 0.00%
30      19.1520
↗0.078, 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(“2019-06-01”),19.616,19.62],[new Date(“2019-06-02”),19.630,19.63],[new Date(“2019-06-03”),19.807,19.81],[new Date(“2019-06-04”),19.571,19.57],[new Date(“2019-06-05”),19.753,19.75],[new Date(“2019-06-06”),19.678,19.68],[new Date(“2019-06-07”),19.617,19.62],[new Date(“2019-06-08”),19.617,19.62],[new Date(“2019-06-09”),19.294,19.29],[new Date(“2019-06-10”),19.208,19.21],[new Date(“2019-06-11”),19.121,19.12],[new Date(“2019-06-12”),19.175,19.17],[new Date(“2019-06-13”),19.196,19.20],[new Date(“2019-06-14”),19.154,19.15],[new Date(“2019-06-15”),19.154,19.15],[new Date(“2019-06-16”),19.146,19.15],[new Date(“2019-06-17”),19.181,19.18],[new Date(“2019-06-18”),19.127,19.13],[new Date(“2019-06-19”),19.022,19.02],[new Date(“2019-06-20”),19.004,19.00],[new Date(“2019-06-21”),19.125,19.12],[new Date(“2019-06-22”),19.125,19.12],[new Date(“2019-06-23”),19.103,19.10],[new Date(“2019-06-24”),19.210,19.21],[new Date(“2019-06-25”),19.233,19.23],[new Date(“2019-06-26”),19.140,19.14],[new Date(“2019-06-27”),19.176,19.18],[new Date(“2019-06-28”),19.230,19.23],[new Date(“2019-06-29”),19.230,19.23],[new Date(“2019-06-30″),19.152,19.15],]);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, 2019

01      18.9977
02      19.1282
↘0.130, 0.69%
03      18.9191
↗0.209, 1.09%
04      18.9191
→0.000, 0.00%
05      19.0729
↘0.154, 0.81%
06      19.0076
↗0.065, 0.34%
07      19.0439
↘0.036, 0.19%
08      19.0857
↘0.042, 0.22%
09      19.2293
↘0.144, 0.75%
10      19.1033
↗0.126, 0.66%
11      19.1033
→0.000, 0.00%
12      19.1379
↘0.035, 0.18%
13      19.2217
↘0.084, 0.44%
14      19.1584
↗0.063, 0.33%
15      19.0635
↗0.095, 0.50%
16      19.1142
↘0.051, 0.27%
17      19.1563
↘0.042, 0.22%
18      19.1563
→0.000, 0.00%
19      19.1456
↗0.011, 0.06%
20      19.0613
↗0.084, 0.44%
21      19.0137
↗0.048, 0.25%
22      18.9978
↗0.016, 0.08%
23      19.0458
↘0.048, 0.25%
24      19.0417
↗0.004, 0.02%
25      19.0417
→0.000, 0.00%
26      19.0469
↘0.005, 0.03%
27      19.0568
↘0.010, 0.05%
28      19.1867
↘0.130, 0.68%
29      19.1392
↗0.047, 0.25%
30      19.5288
↘0.390, 2.04%
31      19.6155
↘0.087, 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(“2019-05-01”),18.998,19.00],[new Date(“2019-05-02”),19.128,19.13],[new Date(“2019-05-03”),18.919,18.92],[new Date(“2019-05-04”),18.919,18.92],[new Date(“2019-05-05”),19.073,19.07],[new Date(“2019-05-06”),19.008,19.01],[new Date(“2019-05-07”),19.044,19.04],[new Date(“2019-05-08”),19.086,19.09],[new Date(“2019-05-09”),19.229,19.23],[new Date(“2019-05-10”),19.103,19.10],[new Date(“2019-05-11”),19.103,19.10],[new Date(“2019-05-12”),19.138,19.14],[new Date(“2019-05-13”),19.222,19.22],[new Date(“2019-05-14”),19.158,19.16],[new Date(“2019-05-15”),19.064,19.06],[new Date(“2019-05-16”),19.114,19.11],[new Date(“2019-05-17”),19.156,19.16],[new Date(“2019-05-18”),19.156,19.16],[new Date(“2019-05-19”),19.146,19.15],[new Date(“2019-05-20”),19.061,19.06],[new Date(“2019-05-21”),19.014,19.01],[new Date(“2019-05-22”),18.998,19.00],[new Date(“2019-05-23”),19.046,19.05],[new Date(“2019-05-24”),19.042,19.04],[new Date(“2019-05-25”),19.042,19.04],[new Date(“2019-05-26”),19.047,19.05],[new Date(“2019-05-27”),19.057,19.06],[new Date(“2019-05-28”),19.187,19.19],[new Date(“2019-05-29”),19.139,19.14],[new Date(“2019-05-30”),19.529,19.53],[new Date(“2019-05-31″),19.616,19.62],]);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, 2019

01      19.1743
02      19.2311
↘0.057, 0.30%
03      19.2214
↗0.010, 0.05%
04      19.1618
↗0.060, 0.31%
05      19.0726
↗0.089, 0.47%
06      19.0726
→0.000, 0.00%
07      19.0763
↘0.004, 0.02%
08      18.9877
↗0.089, 0.46%
09      18.9176
↗0.070, 0.37%
10      18.8214
↗0.096, 0.51%
11      18.8319
↘0.011, 0.06%
12      18.7566
↗0.075, 0.40%
13      18.7566
→0.000, 0.00%
14      18.7613
↘0.005, 0.03%
15      18.8743
↘0.113, 0.60%
16      18.8808
↘0.006, 0.03%
17      18.8170
↗0.064, 0.34%
18      18.8021
↗0.015, 0.08%
19      18.7704
↗0.032, 0.17%
20      18.7704
→0.000, 0.00%
21      18.7827
↘0.012, 0.07%
22      18.8288
↘0.046, 0.25%
23      18.9184
↘0.090, 0.48%
24      19.0833
↘0.165, 0.87%
25      19.0264
↗0.057, 0.30%
26      18.9406
↗0.086, 0.45%
27      18.9406
→0.000, 0.00%
28      18.9436
↘0.003, 0.02%
29      19.0134
↘0.070, 0.37%
30      18.9416
↗0.072, 0.38%
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(“2019-04-01”),19.174,19.17],[new Date(“2019-04-02”),19.231,19.23],[new Date(“2019-04-03”),19.221,19.22],[new Date(“2019-04-04”),19.162,19.16],[new Date(“2019-04-05”),19.073,19.07],[new Date(“2019-04-06”),19.073,19.07],[new Date(“2019-04-07”),19.076,19.08],[new Date(“2019-04-08”),18.988,18.99],[new Date(“2019-04-09”),18.918,18.92],[new Date(“2019-04-10”),18.821,18.82],[new Date(“2019-04-11”),18.832,18.83],[new Date(“2019-04-12”),18.757,18.76],[new Date(“2019-04-13”),18.757,18.76],[new Date(“2019-04-14”),18.761,18.76],[new Date(“2019-04-15”),18.874,18.87],[new Date(“2019-04-16”),18.881,18.88],[new Date(“2019-04-17”),18.817,18.82],[new Date(“2019-04-18”),18.802,18.80],[new Date(“2019-04-19”),18.770,18.77],[new Date(“2019-04-20”),18.770,18.77],[new Date(“2019-04-21”),18.783,18.78],[new Date(“2019-04-22”),18.829,18.83],[new Date(“2019-04-23”),18.918,18.92],[new Date(“2019-04-24”),19.083,19.08],[new Date(“2019-04-25”),19.026,19.03],[new Date(“2019-04-26”),18.941,18.94],[new Date(“2019-04-27”),18.941,18.94],[new Date(“2019-04-28”),18.944,18.94],[new Date(“2019-04-29”),19.013,19.01],[new Date(“2019-04-30″),18.942,18.94],]);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, 2019

01      19.2672
02      19.2672
→0.000, 0.00%
03      19.2802
↘0.013, 0.07%
04      19.2972
↘0.017, 0.09%
05      19.2617
↗0.035, 0.18%
06      19.3642
↘0.102, 0.53%
07      19.5678
↘0.204, 1.05%
08      19.4934
↗0.074, 0.38%
09      19.4934
→0.000, 0.00%
10      19.4982
↘0.005, 0.02%
11      19.3950
↗0.103, 0.53%
12      19.3454
↗0.050, 0.26%
13      19.2937
↗0.052, 0.27%
14      19.3136
↘0.020, 0.10%
15      19.2062
↗0.107, 0.56%
16      19.2062
→0.000, 0.00%
17      19.2184
↘0.012, 0.06%
18      19.0601
↗0.158, 0.82%
19      19.0095
↗0.051, 0.27%
20      18.8140
↗0.196, 1.03%
21      18.8650
↘0.051, 0.27%
22      19.0930
↘0.228, 1.21%
23      19.0930
→0.000, 0.00%
24      19.1204
↘0.027, 0.14%
25      19.0306
↗0.090, 0.47%
26      19.1031
↘0.073, 0.38%
27      19.3676
↘0.264, 1.38%
28      19.3603
↗0.007, 0.04%
29      19.4301
↘0.070, 0.36%
30      19.4301
→0.000, 0.00%
31      19.3444
↗0.086, 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(“2019-03-01”),19.267,19.27],[new Date(“2019-03-02”),19.267,19.27],[new Date(“2019-03-03”),19.280,19.28],[new Date(“2019-03-04”),19.297,19.30],[new Date(“2019-03-05”),19.262,19.26],[new Date(“2019-03-06”),19.364,19.36],[new Date(“2019-03-07”),19.568,19.57],[new Date(“2019-03-08”),19.493,19.49],[new Date(“2019-03-09”),19.493,19.49],[new Date(“2019-03-10”),19.498,19.50],[new Date(“2019-03-11”),19.395,19.40],[new Date(“2019-03-12”),19.345,19.35],[new Date(“2019-03-13”),19.294,19.29],[new Date(“2019-03-14”),19.314,19.31],[new Date(“2019-03-15”),19.206,19.21],[new Date(“2019-03-16”),19.206,19.21],[new Date(“2019-03-17”),19.218,19.22],[new Date(“2019-03-18”),19.060,19.06],[new Date(“2019-03-19”),19.010,19.01],[new Date(“2019-03-20”),18.814,18.81],[new Date(“2019-03-21”),18.865,18.87],[new Date(“2019-03-22”),19.093,19.09],[new Date(“2019-03-23”),19.093,19.09],[new Date(“2019-03-24”),19.120,19.12],[new Date(“2019-03-25”),19.031,19.03],[new Date(“2019-03-26”),19.103,19.10],[new Date(“2019-03-27”),19.368,19.37],[new Date(“2019-03-28”),19.360,19.36],[new Date(“2019-03-29”),19.430,19.43],[new Date(“2019-03-30”),19.430,19.43],[new Date(“2019-03-31″),19.344,19.34],]);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_3’));
chart.draw(data, options);
}

February, 2019

01      19.1008
02      19.1008
→0.000, 0.00%
03      19.1020
↘0.001, 0.01%
04      19.1101
↘0.008, 0.04%
05      19.0394
↗0.071, 0.37%
06      19.1129
↘0.073, 0.39%
07      19.0779
↗0.035, 0.18%
08      19.0787
↘0.001, 0.00%
09      19.0787
→0.000, 0.00%
10      19.0768
↗0.002, 0.01%
11      19.3034
↘0.227, 1.19%
12      19.2467
↗0.057, 0.29%
13      19.4288
↘0.182, 0.95%
14      19.2622
↗0.167, 0.86%
15      19.2428
↗0.019, 0.10%
16      19.2428
→0.000, 0.00%
17      19.2650
↘0.022, 0.12%
18      19.2582
↗0.007, 0.04%
19      19.1561
↗0.102, 0.53%
20      19.2219
↘0.066, 0.34%
21      19.2892
↘0.067, 0.35%
22      19.1453
↗0.144, 0.75%
23      19.1453
→0.000, 0.00%
24      19.1436
↗0.002, 0.01%
25      19.1360
↗0.008, 0.04%
26      19.1887
↘0.053, 0.28%
27      19.1682
↗0.020, 0.11%
28      19.2777
↘0.109, 0.57%
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(“2019-02-01”),19.101,19.10],[new Date(“2019-02-02”),19.101,19.10],[new Date(“2019-02-03”),19.102,19.10],[new Date(“2019-02-04”),19.110,19.11],[new Date(“2019-02-05”),19.039,19.04],[new Date(“2019-02-06”),19.113,19.11],[new Date(“2019-02-07”),19.078,19.08],[new Date(“2019-02-08”),19.079,19.08],[new Date(“2019-02-09”),19.079,19.08],[new Date(“2019-02-10”),19.077,19.08],[new Date(“2019-02-11”),19.303,19.30],[new Date(“2019-02-12”),19.247,19.25],[new Date(“2019-02-13”),19.429,19.43],[new Date(“2019-02-14”),19.262,19.26],[new Date(“2019-02-15”),19.243,19.24],[new Date(“2019-02-16”),19.243,19.24],[new Date(“2019-02-17”),19.265,19.26],[new Date(“2019-02-18”),19.258,19.26],[new Date(“2019-02-19”),19.156,19.16],[new Date(“2019-02-20”),19.222,19.22],[new Date(“2019-02-21”),19.289,19.29],[new Date(“2019-02-22”),19.145,19.15],[new Date(“2019-02-23”),19.145,19.15],[new Date(“2019-02-24”),19.144,19.14],[new Date(“2019-02-25”),19.136,19.14],[new Date(“2019-02-26”),19.189,19.19],[new Date(“2019-02-27”),19.168,19.17],[new Date(“2019-02-28″),19.278,19.28],]);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, 2019

01      19.6337
02      19.6227
↗0.011, 0.06%
03      19.6195
↗0.003, 0.02%
04      19.4220
↗0.197, 1.01%
05      19.4216
↗0.000, 0.00%
06      19.3969
↗0.025, 0.13%
07      19.3686
↗0.028, 0.15%
08      19.3429
↗0.026, 0.13%
09      19.2209
↗0.122, 0.63%
10      19.1345
↗0.086, 0.45%
11      19.1397
↘0.005, 0.03%
12      19.1397
→0.000, 0.00%
13      19.1436
↘0.004, 0.02%
14      18.9886
↗0.155, 0.81%
15      18.9753
↗0.013, 0.07%
16      18.8849
↗0.090, 0.48%
17      19.0104
↘0.126, 0.66%
18      19.0827
↘0.072, 0.38%
19      19.0827
→0.000, 0.00%
20      19.1037
↘0.021, 0.11%
21      19.1622
↘0.058, 0.31%
22      19.1674
↘0.005, 0.03%
23      19.0375
↗0.130, 0.68%
24      19.0283
↗0.009, 0.05%
25      18.9887
↗0.040, 0.21%
26      18.9887
→0.000, 0.00%
27      18.9926
↘0.004, 0.02%
28      19.0411
↘0.048, 0.26%
29      19.0946
↘0.054, 0.28%
30      19.1090
↘0.014, 0.08%
31      19.1081
↗0.001, 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(“2019-01-01”),19.634,19.63],[new Date(“2019-01-02”),19.623,19.62],[new Date(“2019-01-03”),19.620,19.62],[new Date(“2019-01-04”),19.422,19.42],[new Date(“2019-01-05”),19.422,19.42],[new Date(“2019-01-06”),19.397,19.40],[new Date(“2019-01-07”),19.369,19.37],[new Date(“2019-01-08”),19.343,19.34],[new Date(“2019-01-09”),19.221,19.22],[new Date(“2019-01-10”),19.135,19.13],[new Date(“2019-01-11”),19.140,19.14],[new Date(“2019-01-12”),19.140,19.14],[new Date(“2019-01-13”),19.144,19.14],[new Date(“2019-01-14”),18.989,18.99],[new Date(“2019-01-15”),18.975,18.98],[new Date(“2019-01-16”),18.885,18.88],[new Date(“2019-01-17”),19.010,19.01],[new Date(“2019-01-18”),19.083,19.08],[new Date(“2019-01-19”),19.083,19.08],[new Date(“2019-01-20”),19.104,19.10],[new Date(“2019-01-21”),19.162,19.16],[new Date(“2019-01-22”),19.167,19.17],[new Date(“2019-01-23”),19.038,19.04],[new Date(“2019-01-24”),19.028,19.03],[new Date(“2019-01-25”),18.989,18.99],[new Date(“2019-01-26”),18.989,18.99],[new Date(“2019-01-27”),18.993,18.99],[new Date(“2019-01-28”),19.041,19.04],[new Date(“2019-01-29”),19.095,19.09],[new Date(“2019-01-30”),19.109,19.11],[new Date(“2019-01-31″),19.108,19.11],]);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);
}